Repository: pingcap/talent-plan Branch: master Commit: 18d81c90e403 Files: 195 Total size: 1.6 MB Directory structure: gitextract_2klmrfgy/ ├── .circleci/ │ └── config.yml ├── .github/ │ ├── ISSUE_TEMPLATE/ │ │ ├── bug-report.md │ │ ├── feature-requirement.md │ │ └── question.md │ └── pull_request_template.md ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── README.md ├── courses/ │ ├── README.md │ ├── dss/ │ │ ├── .gitignore │ │ ├── Cargo.toml │ │ ├── Makefile │ │ ├── README.md │ │ ├── labcodec/ │ │ │ ├── Cargo.toml │ │ │ ├── build.rs │ │ │ ├── demonstration/ │ │ │ │ ├── README.md │ │ │ │ └── expanded_fixture.rs │ │ │ ├── proto/ │ │ │ │ └── fixture.proto │ │ │ └── src/ │ │ │ └── lib.rs │ │ ├── labrpc/ │ │ │ ├── Cargo.toml │ │ │ ├── benches/ │ │ │ │ └── rpc.rs │ │ │ ├── examples/ │ │ │ │ └── echo.rs │ │ │ └── src/ │ │ │ ├── client.rs │ │ │ ├── error.rs │ │ │ ├── lib.rs │ │ │ ├── macros.rs │ │ │ ├── network.rs │ │ │ └── server.rs │ │ ├── linearizability/ │ │ │ ├── Cargo.toml │ │ │ ├── src/ │ │ │ │ ├── bitset.rs │ │ │ │ ├── lib.rs │ │ │ │ ├── model.rs │ │ │ │ └── models.rs │ │ │ └── test_data/ │ │ │ ├── c01-bad.txt │ │ │ ├── c01-ok.txt │ │ │ ├── c10-bad.txt │ │ │ ├── c10-ok.txt │ │ │ ├── c50-bad.txt │ │ │ └── c50-ok.txt │ │ ├── percolator/ │ │ │ ├── Cargo.toml │ │ │ ├── README.md │ │ │ ├── build.rs │ │ │ ├── proto/ │ │ │ │ └── msg.proto │ │ │ └── src/ │ │ │ ├── client.rs │ │ │ ├── lib.rs │ │ │ ├── server.rs │ │ │ ├── service.rs │ │ │ └── tests.rs │ │ └── raft/ │ │ ├── Cargo.toml │ │ ├── README.md │ │ ├── build.rs │ │ └── src/ │ │ ├── kvraft/ │ │ │ ├── client.rs │ │ │ ├── config.rs │ │ │ ├── errors.rs │ │ │ ├── mod.rs │ │ │ ├── server.rs │ │ │ └── tests.rs │ │ ├── lib.rs │ │ ├── proto/ │ │ │ ├── kvraft.proto │ │ │ ├── mod.rs │ │ │ └── raft.proto │ │ └── raft/ │ │ ├── config.rs │ │ ├── errors.rs │ │ ├── mod.rs │ │ ├── persister.rs │ │ └── tests.rs │ ├── rust/ │ │ ├── .gitignore │ │ ├── CONTRIBUTING.md │ │ ├── README.md │ │ ├── building-blocks/ │ │ │ ├── bb-1.md │ │ │ ├── bb-2.md │ │ │ ├── bb-3.md │ │ │ ├── bb-4.md │ │ │ └── bb-5.md │ │ ├── docs/ │ │ │ ├── etc/ │ │ │ │ ├── notes.md │ │ │ │ └── parallel-diagrams.txt │ │ │ ├── lesson-plan.md │ │ │ ├── prerequisites.md │ │ │ ├── roadmap.md │ │ │ └── what-next.md │ │ └── projects/ │ │ ├── project-1/ │ │ │ ├── Cargo.toml │ │ │ ├── README.md │ │ │ ├── src/ │ │ │ │ ├── bin/ │ │ │ │ │ └── kvs.rs │ │ │ │ ├── kv.rs │ │ │ │ └── lib.rs │ │ │ └── tests/ │ │ │ └── tests.rs │ │ ├── project-2/ │ │ │ ├── Cargo.toml │ │ │ ├── README.md │ │ │ ├── src/ │ │ │ │ ├── bin/ │ │ │ │ │ └── kvs.rs │ │ │ │ ├── error.rs │ │ │ │ ├── kv.rs │ │ │ │ └── lib.rs │ │ │ └── tests/ │ │ │ └── tests.rs │ │ ├── project-3/ │ │ │ ├── Cargo.toml │ │ │ ├── README.md │ │ │ ├── benches/ │ │ │ │ └── engine_bench.rs │ │ │ ├── src/ │ │ │ │ ├── bin/ │ │ │ │ │ ├── kvs-client.rs │ │ │ │ │ └── kvs-server.rs │ │ │ │ ├── client.rs │ │ │ │ ├── common.rs │ │ │ │ ├── engines/ │ │ │ │ │ ├── kvs.rs │ │ │ │ │ ├── mod.rs │ │ │ │ │ └── sled.rs │ │ │ │ ├── error.rs │ │ │ │ ├── lib.rs │ │ │ │ └── server.rs │ │ │ └── tests/ │ │ │ ├── cli.rs │ │ │ └── kv_store.rs │ │ ├── project-4/ │ │ │ ├── Cargo.toml │ │ │ ├── README.md │ │ │ ├── src/ │ │ │ │ ├── bin/ │ │ │ │ │ ├── kvs-client.rs │ │ │ │ │ └── kvs-server.rs │ │ │ │ ├── client.rs │ │ │ │ ├── common.rs │ │ │ │ ├── engines/ │ │ │ │ │ ├── kvs.rs │ │ │ │ │ ├── mod.rs │ │ │ │ │ └── sled.rs │ │ │ │ ├── error.rs │ │ │ │ ├── lib.rs │ │ │ │ ├── server.rs │ │ │ │ └── thread_pool/ │ │ │ │ ├── mod.rs │ │ │ │ ├── naive.rs │ │ │ │ ├── rayon.rs │ │ │ │ └── shared_queue.rs │ │ │ └── tests/ │ │ │ ├── cli.rs │ │ │ ├── kv_store.rs │ │ │ └── thread_pool.rs │ │ └── project-5/ │ │ ├── Cargo.toml │ │ ├── README.md │ │ ├── src/ │ │ │ ├── bin/ │ │ │ │ ├── kvs-client.rs │ │ │ │ └── kvs-server.rs │ │ │ ├── client.rs │ │ │ ├── common.rs │ │ │ ├── engines/ │ │ │ │ ├── kvs.rs │ │ │ │ ├── mod.rs │ │ │ │ └── sled.rs │ │ │ ├── error.rs │ │ │ ├── lib.rs │ │ │ ├── server.rs │ │ │ └── thread_pool/ │ │ │ ├── mod.rs │ │ │ ├── naive.rs │ │ │ ├── rayon.rs │ │ │ └── shared_queue.rs │ │ └── tests/ │ │ ├── cli.rs │ │ ├── kv_store.rs │ │ └── thread_pool.rs │ ├── tp101-intro-to-oss.md │ ├── tp102-how-to-use-git-github.md │ └── tp103-open-source-community.md ├── talent-challenge-program/ │ ├── MENTEE_APPLY_TEMPLATE.md │ ├── PROJECT_IDEA_TEMPLATE.md │ ├── README.md │ ├── project-ideas.md │ ├── s1.md │ └── selected-projects.md ├── talent-challenge-program2021/ │ ├── MENTEE_APPLY_TEMPLATE.md │ ├── PROJECT_IDEA_TEMPLATE.md │ ├── README.md │ ├── project-ideas.md │ ├── schedule.md │ └── selected-projects.md ├── talent-plan-1.0/ │ ├── 1.0-lp-tidb.md │ ├── 1.0-lp-tikv.md │ └── README-CN.md └── tidb/ ├── .gitignore ├── README.md ├── join/ │ ├── Makefile │ ├── README.md │ ├── benchmark_test.go │ ├── go.mod │ ├── go.sum │ ├── join.go │ ├── join_example.go │ ├── join_test.go │ └── t/ │ ├── r0.tbl │ ├── r1.tbl │ └── r2.tbl ├── mapreduce/ │ ├── .gitignore │ ├── Makefile │ ├── README.md │ ├── casegen.go │ ├── go.mod │ ├── go.sum │ ├── mapreduce.go │ ├── urltop10.go │ ├── urltop10_example.go │ ├── urltop10_test.go │ └── utils.go └── mergesort/ ├── Makefile ├── README.md ├── bench_test.go ├── go.mod ├── go.sum ├── mergesort.go └── mergesort_test.go ================================================ FILE CONTENTS ================================================ ================================================ FILE: .circleci/config.yml ================================================ version: 2.1 jobs: dss: docker: - image: circleci/rust:stretch environment: RUST_BACKTRACE: "1" RUSTFLAGS: "-Dwarnings" working_directory: ~/talent-plan/courses/dss steps: - checkout: path: ~/talent-plan - run: rustup component add clippy-preview rustfmt-preview - run: cargo fmt --all -- --check - run: cargo clippy --all --tests -- -D clippy::all - run: cargo test -p labcodec -p labrpc - run: cargo test -p raft -- --test raft::persister - run: command: cargo test -p linearizability no_output_timeout: 30m workflows: version: 2 ci-test: jobs: - dss ================================================ FILE: .github/ISSUE_TEMPLATE/bug-report.md ================================================ --- name: "\U0001F41B Bug Report" about: something isn't working as expected labels: type/bug --- ## Bug Report Please answer these questions before submitting your issue. Thanks! ### 1. What did you do? ### 2. What did you expect to see? ### 3. What did you see instead? ================================================ FILE: .github/ISSUE_TEMPLATE/feature-requirement.md ================================================ --- name: "\U0001F680 Feature Request" about: I have a suggestion! labels: type/enhancement --- ## Feature Request please make a clear and concise description for the following questions. ### Is your feature request related to a problem? ### Describe the feature you'd like ### Describe alternatives you've considered ================================================ FILE: .github/ISSUE_TEMPLATE/question.md ================================================ --- name: "\U0001F914 Question" about: I have a question! labels: type/question --- ## General Question ## Tips Expect for asking questions on Github, you can also discuss it in the channel **#wg-talent-plan-courses**. of [tidbcommunity](https://join.slack.com/t/tidbcommunity/shared_invite/enQtNzc0MzI4ODExMDc4LWYwYmIzMjZkYzJiNDUxMmZlN2FiMGJkZjAyMzQ5NGU0NGY0NzI3NTYwMjAyNGQ1N2I2ZjAxNzc1OGUwYWM0NzE) slack workspace. ================================================ FILE: .github/pull_request_template.md ================================================ ### What problem does this PR solve? - Issue number: close #xxx - Breif description of the problem: ### What is changed and how it works? ### Check List Tests - Unit test - Integration test - Manual test (add detailed scripts or steps below) - No code Side effects - Possible performance regression - Increased code complexity Related changes - Need to update the documentation ================================================ FILE: CODE_OF_CONDUCT.md ================================================ # Contributor Covenant Code of Conduct ## Our Pledge In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language * Being respectful of differing viewpoints and experiences * Gracefully accepting constructive criticism * Focusing on what is best for the community * Showing empathy towards other community members Examples of unacceptable behavior by participants include: * The use of sexualized language or imagery and unwelcome sexual attention or advances * Trolling, insulting/derogatory comments, and personal or political attacks * Public or private harassment * Publishing others' private information, such as a physical or electronic address, without explicit permission * Other conduct which could reasonably be considered inappropriate in a professional setting ## Our Responsibilities Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. ## Scope This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. ## Enforcement Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at [ts-team@pingcap.com](mailto:ts-team@pingcap.com). All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. ## Attribution This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html [homepage]: https://www.contributor-covenant.org For answers to common questions about this code of conduct, see https://www.contributor-covenant.org/faq ================================================ FILE: CONTRIBUTING.md ================================================ # Contributing Guide Thanks for taking the time to contribute to Talent Plan! Contributions of any kind are welcome. ## Ways to contribute We love contributions from the community. Here are just a few of the ways you can contribute: - **Report bugs:** if you find a bug while taking courses, you may want to do a quick check of past issues to see if you can find any help there. Otherwise, create a new bug issue in the course repository using the provided template. - **Answer questions:** check out the open issues to see if you can help answer learner questions. - **Suggest changes:** this could come in the form of a new learning outcome, updates to the content, updates to the bot responses, or the logic of the course. If you'd like, you can fork the course and suggest the change that way, but most people like to talk about it first in an issue. - **Tackle an issue:** if you see an issue you would like to resolve, please feel free to fork the course and submit a PR (check out the instructions below). - **Translate a course:** if you have the ability to translate a course, we'd love to see it. Please fork the course and submit a PR. We'll need a second native speaker to confirm the translation so if you have anyone in mind, please @ mention them in your PR for a review. ## How to Contribute 1. Check out which [contributions](#ways-to-contribute) above you are willing to make 1. Fork this repository. 2. Commit your changes to your branch 3. Open a pull request to upstream 4. Request a review from the reviewers Want to konw more about how to use Git & GitHub to make contributions? Click [how to use Git & GitHub](courses/tp102-how-to-use-git-github.md) courses for more help ================================================ FILE: README.md ================================================ # Welcome to learn Talent Plan Courses! ![Talent Plan Logo](media/talent-plan-logo.png) Talent Plan is an open source training program initiated by PingCAP. It aims to create or combine some open source learning materials for people interested in open source, distributed systems, Rust, Golang, and other infrastructure knowledge. As such, it provides a series of courses focused on open source collaboration, rust programming, distributed database and systems. > Note: > Each course is developed by different teams, so they may vary in their organization and learning outcomes. Please see the individual course documentation for details. ## Our Courses ### Series 1: Open Source Collaboration Open source collaboration includes a series of open-source related learning materials to help enthusiasts gain basic knowledge of what open source software is, the differences between existing open-source software licenses, how to participate in open source projects, and what a welcoming open source community looks like. Courses include: - [TP 101: Introduction to open source software](courses/tp101-intro-to-oss.md) - [TP 102: How to use Git and GitHub](courses/tp102-how-to-use-git-github.md) - [TP 103: Build a welcoming community](courses/tp103-open-source-community.md) ### Series 2: Rust Programming This series is core to TALENT-PLAN. It builds your understanding of Rust as a programming language and provides opportunities for you to practice with it. Courses include: - [TP 201: Practical Networked Applications in Rust](courses/rust/README.md). A series of projects that incrementally develop a single Rust project from the ground up into a high-performance, networked, parallel and asynchronous key/value store. Along the way various real-world Rust development subject matter are explored and discussed. - [TP 202: Distributed Systems in Rust](courses/dss/README.md). Adapted from the [MIT 6.824](http://nil.csail.mit.edu/6.824/2017/index.html) distributed systems coursework, this course focuses on implementing important distributed algorithms, including the [Raft](https://raft.github.io/) consensus algorithm, and the [Percolator](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/36726.pdf) distributed transaction protocol. ### Series 3: Distributed Database This series provides information on TinySQL and TinyKV, which are distributed databases in Go. Courses include: - [TP 301: TinySQL, a distributed relational database in Go](https://github.com/pingcap-incubator/tinysql) - [TP 302: TinyKV, a distributed key value database in Go](https://github.com/pingcap-incubator/tinykv) ### Series 4: Deep Dive into TiDB Ecosystems This series provides information on TiDB and TiKV, which are distributed databases developed by PingCAP. Courses include: - TP 401: Deep Dive into TiDB(WIP) - TP 402: Deep Dive into TiKV(WIP) See [Courses](courses/README.md) for more details. # Contributing to talent plan Contributions of any kind are welcome! Check out the [Contributing Guide](CONTRIBUTING.md) in this repository for more information on how you can contribute to Talent Plan. We love our community and take great care to ensure it is fun, safe and rewarding. Please review our [Code of Conduct](/CODE_OF_CONDUCT.md) for community expectations and guidelines for reporting concerns. ## We're here to help If you have questions about building (or taking) courses, you can ask in the channel **#wg-talent-plan-courses** of the [tidbcommunity](https://tidbcommunity.slack.com/join/shared_invite/enQtNzc0MzI4ODExMDc4LWYwYmIzMjZkYzJiNDUxMmZlN2FiMGJkZjAyMzQ5NGU0NGY0NzI3NTYwMjAyNGQ1N2I2ZjAxNzc1OGUwYWM0NzE#/shared-invite/email) slack workspace. ## License These courses may be freely used and modified for any purpose, under the terms of each course's individual license. See the courses for details. ================================================ FILE: courses/README.md ================================================ # All public courses Here we list all public courses of Talent Plan, including: - [TP 101: Introduction to open source software](tp101-intro-to-oss.md) - [TP 102: How to use Git and GitHub](tp102-how-to-use-git-github.md) - [TP 103: Build a welcoming community](tp103-open-source-community.md) - [TP 201: Practical Networked Applications in Rust](rust/README.md) - [TP 202: Distributed Systems in Rust](dss/README.md) - [TP 301: TinySQL, a distributed relational database in Go](https://github.com/pingcap-incubator/tinysql) - [TP 302: TinyKV, a distributed key value database in Go](https://github.com/pingcap-incubator/tinykv) - TP 401: Deep Dive into TiDB(WIP) - TP 402: Deep Dive into TiKV(WIP) ================================================ FILE: courses/dss/.gitignore ================================================ **/target **/*.rs.bk 6.824-golabs-2018 ================================================ FILE: courses/dss/Cargo.toml ================================================ [workspace] members = [ "labcodec", "labrpc", "linearizability", "raft", "percolator" ] ================================================ FILE: courses/dss/Makefile ================================================ export RUSTFLAGS=-Dwarnings export RUST_TEST_THREADS=1 export RUST_BACKTRACE=1 LOG_LEVEL ?= raft=info,percolator=info check: cargo fmt --all -- --check cargo clippy --all --tests -- -D clippy::all test: test_others test_2 test_3 test_2: test_2a test_2b test_2c test_2d test_2a: cargo_test_2a test_2b: cargo_test_2b test_2c: cargo_test_2c test_2d: cargo_test_2d test_3: test_3a test_3b test_3a: cargo_test_3a test_3b: cargo_test_3b cargo_test_%: check RUST_LOG=${LOG_LEVEL} cargo test -p raft -- --nocapture --test $* test_others: check RUST_LOG=${LOG_LEVEL} cargo test -p labrpc -p labcodec -- --nocapture test_percolator: check RUST_LOG=${LOG_LEVEL} cargo test -p percolator -- --nocapture ================================================ FILE: courses/dss/README.md ================================================ # Distributed Systems in Rust A training course about the distributed systems in [Rust]. Subjects covered include: - [Raft consensus algorithm] (including a fault-tolerant key-value storage service using Raft) - [Percolator transaction model] After completing this course you will have the knowledge to implement a basic key-value storage service with transaction and fault-tolerant in Rust. **Important note: Distributed Systems in Rust is in an alpha state** It might contain bugs. Any feedback is greatly appreciated. Please [file issues] if you have any problem. And also You are encouraged to fix problems on your own and submit pull requests. ## The goal of this course The goal of this course is to teach the Rust programmers who are interested in distributed systems to know about how to make the distributed systems reliable and how to implement the distributed transaction. ## Who is this for? Distributed Systems in Rust is for experienced _Rust_ programmers, who are familiar with the Rust language. If you are not, you can first learn our [rust] lessons. ## A PingCAP-specific note This course, combined with [Deep Dive TiKV], is intended to be enough to enable programmers to meaningfully contribute to [TiKV]. It is most specifically designed to teach those in the Chinese Rust community enough Rust to work on TiKV. The language used is intended to be simple so that those who read only a little English can follow. If you find any of the language difficult to understand please [file issues]. ## License [CC-BY 4.0](https://opendefinition.org/licenses/cc-by/) [rust]: ../rust/README.md [file issues]: https://github.com/pingcap/talent-plan/issues/ [Deep Dive TiKV]: https://tikv.github.io/deep-dive-tikv/overview/introduction.html [TiKV]: https://github.com/tikv/tikv/ [Rust]: https://www.rust-lang.org/ [Raft consensus algorithm]: raft/README.md [Percolator transaction model]: percolator/README.md ================================================ FILE: courses/dss/labcodec/Cargo.toml ================================================ [package] name = "labcodec" version = "0.1.0" build = "build.rs" edition = "2018" publish = false [dependencies] prost = "0.6" [build-dependencies] prost-build = "0.6" ================================================ FILE: courses/dss/labcodec/build.rs ================================================ fn main() { prost_build::compile_protos(&["proto/fixture.proto"], &["proto"]).unwrap(); println!("cargo:rerun-if-changed=proto"); } ================================================ FILE: courses/dss/labcodec/demonstration/README.md ================================================ # Demonstration Expanded version of generated rust files. Files in the folder are for the sake of understanding how procedural macro works, and they are not compilable. ================================================ FILE: courses/dss/labcodec/demonstration/expanded_fixture.rs ================================================ /// A simple protobuf message. pub struct Msg { #[prost(enumeration = "msg::Type", tag = "1")] pub r#type: i32, #[prost(uint64, tag = "2")] pub id: u64, #[prost(string, tag = "3")] pub name: std::string::String, #[prost(bytes, repeated, tag = "4")] pub paylad: ::std::vec::Vec>, } #[automatically_derived] #[allow(unused_qualifications)] impl ::core::clone::Clone for Msg { #[inline] fn clone(&self) -> Msg { match *self { Msg { r#type: ref __self_0_0, id: ref __self_0_1, name: ref __self_0_2, paylad: ref __self_0_3, } => Msg { r#type: ::core::clone::Clone::clone(&(*__self_0_0)), id: ::core::clone::Clone::clone(&(*__self_0_1)), name: ::core::clone::Clone::clone(&(*__self_0_2)), paylad: ::core::clone::Clone::clone(&(*__self_0_3)), }, } } } impl ::core::marker::StructuralPartialEq for Msg {} #[automatically_derived] #[allow(unused_qualifications)] impl ::core::cmp::PartialEq for Msg { #[inline] fn eq(&self, other: &Msg) -> bool { match *other { Msg { r#type: ref __self_1_0, id: ref __self_1_1, name: ref __self_1_2, paylad: ref __self_1_3, } => match *self { Msg { r#type: ref __self_0_0, id: ref __self_0_1, name: ref __self_0_2, paylad: ref __self_0_3, } => { (*__self_0_0) == (*__self_1_0) && (*__self_0_1) == (*__self_1_1) && (*__self_0_2) == (*__self_1_2) && (*__self_0_3) == (*__self_1_3) } }, } } #[inline] fn ne(&self, other: &Msg) -> bool { match *other { Msg { r#type: ref __self_1_0, id: ref __self_1_1, name: ref __self_1_2, paylad: ref __self_1_3, } => match *self { Msg { r#type: ref __self_0_0, id: ref __self_0_1, name: ref __self_0_2, paylad: ref __self_0_3, } => { (*__self_0_0) != (*__self_1_0) || (*__self_0_1) != (*__self_1_1) || (*__self_0_2) != (*__self_1_2) || (*__self_0_3) != (*__self_1_3) } }, } } } impl ::prost::Message for Msg { #[allow(unused_variables)] fn encode_raw(&self, buf: &mut B) where B: ::prost::bytes::BufMut, { if self.r#type != msg::Type::default() as i32 { ::prost::encoding::int32::encode(1u32, &self.r#type, buf); } if self.id != 0u64 { ::prost::encoding::uint64::encode(2u32, &self.id, buf); } if self.name != "" { ::prost::encoding::string::encode(3u32, &self.name, buf); } ::prost::encoding::bytes::encode_repeated(4u32, &self.paylad, buf); } #[allow(unused_variables)] fn merge_field( &mut self, tag: u32, wire_type: ::prost::encoding::WireType, buf: &mut B, ctx: ::prost::encoding::DecodeContext, ) -> ::std::result::Result<(), ::prost::DecodeError> where B: ::prost::bytes::Buf, { const STRUCT_NAME: &'static str = "Msg"; match tag { 1u32 => { let mut value = &mut self.r#type; ::prost::encoding::int32::merge(wire_type, value, buf, ctx).map_err(|mut error| { error.push(STRUCT_NAME, "r#type"); error }) } 2u32 => { let mut value = &mut self.id; ::prost::encoding::uint64::merge(wire_type, value, buf, ctx).map_err(|mut error| { error.push(STRUCT_NAME, "id"); error }) } 3u32 => { let mut value = &mut self.name; ::prost::encoding::string::merge(wire_type, value, buf, ctx).map_err(|mut error| { error.push(STRUCT_NAME, "name"); error }) } 4u32 => { let mut value = &mut self.paylad; ::prost::encoding::bytes::merge_repeated(wire_type, value, buf, ctx).map_err( |mut error| { error.push(STRUCT_NAME, "paylad"); error }, ) } _ => ::prost::encoding::skip_field(wire_type, tag, buf, ctx), } } #[inline] fn encoded_len(&self) -> usize { 0 + if self.r#type != msg::Type::default() as i32 { ::prost::encoding::int32::encoded_len(1u32, &self.r#type) } else { 0 } + if self.id != 0u64 { ::prost::encoding::uint64::encoded_len(2u32, &self.id) } else { 0 } + if self.name != "" { ::prost::encoding::string::encoded_len(3u32, &self.name) } else { 0 } + ::prost::encoding::bytes::encoded_len_repeated(4u32, &self.paylad) } fn clear(&mut self) { self.r#type = msg::Type::default() as i32; self.id = 0u64; self.name.clear(); self.paylad.clear(); } } impl Default for Msg { fn default() -> Msg { Msg { r#type: msg::Type::default() as i32, id: 0u64, name: ::std::string::String::new(), paylad: ::std::vec::Vec::new(), } } } impl ::std::fmt::Debug for Msg { fn fmt(&self, f: &mut ::std::fmt::Formatter) -> ::std::fmt::Result { let mut builder = f.debug_struct("Msg"); let builder = { let wrapper = { struct ScalarWrapper<'a>(&'a i32); impl<'a> ::std::fmt::Debug for ScalarWrapper<'a> { fn fmt(&self, f: &mut ::std::fmt::Formatter) -> ::std::fmt::Result { match msg::Type::from_i32(*self.0) { None => ::std::fmt::Debug::fmt(&self.0, f), Some(en) => ::std::fmt::Debug::fmt(&en, f), } } } ScalarWrapper(&self.r#type) }; builder.field("r#type", &wrapper) }; let builder = { let wrapper = { fn ScalarWrapper(v: T) -> T { v } ScalarWrapper(&self.id) }; builder.field("id", &wrapper) }; let builder = { let wrapper = { fn ScalarWrapper(v: T) -> T { v } ScalarWrapper(&self.name) }; builder.field("name", &wrapper) }; let builder = { let wrapper = { struct ScalarWrapper<'a>(&'a ::std::vec::Vec<::std::vec::Vec>); impl<'a> ::std::fmt::Debug for ScalarWrapper<'a> { fn fmt(&self, f: &mut ::std::fmt::Formatter) -> ::std::fmt::Result { let mut vec_builder = f.debug_list(); for v in self.0 { fn Inner(v: T) -> T { v } vec_builder.entry(&Inner(v)); } vec_builder.finish() } } ScalarWrapper(&self.paylad) }; builder.field("paylad", &wrapper) }; builder.finish() } } #[allow(dead_code)] impl Msg { ///Returns the enum value of `type`, or the default if the field is set to an invalid enum value. pub fn r#type(&self) -> msg::Type { msg::Type::from_i32(self.r#type).unwrap_or(msg::Type::default()) } ///Sets `type` to the provided enum value. pub fn set_type(&mut self, value: msg::Type) { self.r#type = value as i32; } } pub mod msg { #[repr(i32)] pub enum Type { Unknown = 0, Put = 1, Get = 2, Del = 3, } #[automatically_derived] #[allow(unused_qualifications)] impl ::core::clone::Clone for Type { #[inline] fn clone(&self) -> Type { { *self } } } #[automatically_derived] #[allow(unused_qualifications)] impl ::core::marker::Copy for Type {} #[automatically_derived] #[allow(unused_qualifications)] impl ::core::fmt::Debug for Type { fn fmt(&self, f: &mut ::core::fmt::Formatter) -> ::core::fmt::Result { match (&*self,) { (&Type::Unknown,) => { let mut debug_trait_builder = f.debug_tuple("Unknown"); debug_trait_builder.finish() } (&Type::Put,) => { let mut debug_trait_builder = f.debug_tuple("Put"); debug_trait_builder.finish() } (&Type::Get,) => { let mut debug_trait_builder = f.debug_tuple("Get"); debug_trait_builder.finish() } (&Type::Del,) => { let mut debug_trait_builder = f.debug_tuple("Del"); debug_trait_builder.finish() } } } } impl ::core::marker::StructuralPartialEq for Type {} #[automatically_derived] #[allow(unused_qualifications)] impl ::core::cmp::PartialEq for Type { #[inline] fn eq(&self, other: &Type) -> bool { { let __self_vi = unsafe { ::core::intrinsics::discriminant_value(&*self) } as i32; let __arg_1_vi = unsafe { ::core::intrinsics::discriminant_value(&*other) } as i32; if true && __self_vi == __arg_1_vi { match (&*self, &*other) { _ => true, } } else { false } } } } impl ::core::marker::StructuralEq for Type {} #[automatically_derived] #[allow(unused_qualifications)] impl ::core::cmp::Eq for Type { #[inline] #[doc(hidden)] fn assert_receiver_is_total_eq(&self) -> () { {} } } #[automatically_derived] #[allow(unused_qualifications)] impl ::core::hash::Hash for Type { fn hash<__H: ::core::hash::Hasher>(&self, state: &mut __H) -> () { match (&*self,) { _ => ::core::hash::Hash::hash( &unsafe { ::core::intrinsics::discriminant_value(self) }, state, ), } } } #[automatically_derived] #[allow(unused_qualifications)] impl ::core::cmp::PartialOrd for Type { #[inline] fn partial_cmp(&self, other: &Type) -> ::core::option::Option<::core::cmp::Ordering> { { let __self_vi = unsafe { ::core::intrinsics::discriminant_value(&*self) } as i32; let __arg_1_vi = unsafe { ::core::intrinsics::discriminant_value(&*other) } as i32; if true && __self_vi == __arg_1_vi { match (&*self, &*other) { _ => ::core::option::Option::Some(::core::cmp::Ordering::Equal), } } else { __self_vi.partial_cmp(&__arg_1_vi) } } } } #[automatically_derived] #[allow(unused_qualifications)] impl ::core::cmp::Ord for Type { #[inline] fn cmp(&self, other: &Type) -> ::core::cmp::Ordering { { let __self_vi = unsafe { ::core::intrinsics::discriminant_value(&*self) } as i32; let __arg_1_vi = unsafe { ::core::intrinsics::discriminant_value(&*other) } as i32; if true && __self_vi == __arg_1_vi { match (&*self, &*other) { _ => ::core::cmp::Ordering::Equal, } } else { __self_vi.cmp(&__arg_1_vi) } } } } impl Type { ///Returns `true` if `value` is a variant of `Type`. pub fn is_valid(value: i32) -> bool { match value { 0 => true, 1 => true, 2 => true, 3 => true, _ => false, } } ///Converts an `i32` to a `Type`, or `None` if `value` is not a valid variant. pub fn from_i32(value: i32) -> ::std::option::Option { match value { 0 => ::std::option::Option::Some(Type::Unknown), 1 => ::std::option::Option::Some(Type::Put), 2 => ::std::option::Option::Some(Type::Get), 3 => ::std::option::Option::Some(Type::Del), _ => ::std::option::Option::None, } } } impl ::std::default::Default for Type { fn default() -> Type { Type::Unknown } } impl ::std::convert::From for i32 { fn from(value: Type) -> i32 { value as i32 } } } ================================================ FILE: courses/dss/labcodec/proto/fixture.proto ================================================ syntax = "proto3"; package fixture; // A simple protobuf message. message Msg { enum Type { UNKNOWN = 0; PUT = 1; GET = 2; DEL = 3; } Type type = 1; uint64 id = 2; string name = 3; repeated bytes paylad = 4; } ================================================ FILE: courses/dss/labcodec/src/lib.rs ================================================ //! A thin wrapper of [prost](https://docs.rs/prost/0.6.1/prost/) /// A labcodec message. pub trait Message: prost::Message + Default {} impl Message for T {} /// A message encoding error. pub type EncodeError = prost::EncodeError; /// A message decoding error. pub type DecodeError = prost::DecodeError; /// Encodes the message to a `Vec`. pub fn encode(message: &M, buf: &mut Vec) -> Result<(), EncodeError> { buf.reserve(message.encoded_len()); message.encode(buf)?; Ok(()) } /// Decodes an message from the buffer. pub fn decode(buf: &[u8]) -> Result { M::decode(buf) } #[cfg(test)] mod tests { mod fixture { // The generated rust file: // labs6824/target/debug/build/labcodec-hashhashhashhash/out/fixture.rs // // It looks like: // // ```no_run // /// A simple protobuf message. // #[derive(Clone, PartialEq, Message)] // pub struct Msg { // #[prost(enumeration="msg::Type", tag="1")] // pub type_: i32, // #[prost(uint64, tag="2")] // pub id: u64, // #[prost(string, tag="3")] // pub name: String, // #[prost(bytes, repeated, tag="4")] // pub paylad: ::std::vec::Vec>, // } // pub mod msg { // #[derive(Clone, Copy, Debug, PartialEq, Eq, Hash, PartialOrd, Ord, Enumeration)] // pub enum Type { // Unknown = 0, // Put = 1, // Get = 2, // Del = 3, // } // } // ``` include!(concat!(env!("OUT_DIR"), "/fixture.rs")); } use super::{decode, encode}; #[test] fn test_basic_encode_decode() { let msg = fixture::Msg { r#type: fixture::msg::Type::Put as _, id: 42, name: "the answer".to_owned(), paylad: vec![vec![7; 3]; 2], }; let mut buf = vec![]; encode(&msg, &mut buf).unwrap(); let msg1 = decode(&buf).unwrap(); assert_eq!(msg, msg1); } #[test] fn test_default() { let msg = fixture::Msg::default(); let msg1 = decode(&[]).unwrap(); assert_eq!(msg, msg1); } } ================================================ FILE: courses/dss/labrpc/Cargo.toml ================================================ [package] name = "labrpc" version = "0.1.0" edition = "2018" publish = false [dependencies] async-trait = "0.1" futures = { version = "0.3", features = ["thread-pool"] } futures-timer = "3.0" log = "0.4" prost = "0.6" rand = "0.7" labcodec = { path = "../labcodec" } [dev-dependencies] criterion = "0.3" env_logger = "0.7" prost-derive = "0.6" [[bench]] name = "rpc" path = "benches/rpc.rs" harness = false ================================================ FILE: courses/dss/labrpc/benches/rpc.rs ================================================ use std::sync::{Arc, Mutex}; use criterion::{black_box, criterion_group, criterion_main, Criterion}; use futures::executor::block_on; use prost_derive::Message; use labrpc::{service, Network, Result, Server, ServerBuilder}; service! { /// A simple bench-purpose service. service bench { /// Doc comments. rpc handler(BenchArgs) returns (BenchReply); } } use bench::{add_service, Client as BenchClient, Service}; // Hand-written protobuf messages. #[derive(Clone, PartialEq, Message)] pub struct BenchArgs { #[prost(int64, tag = "1")] pub x: i64, } #[derive(Clone, PartialEq, Message)] pub struct BenchReply { #[prost(string, tag = "1")] pub x: String, } #[derive(Default)] struct BenchInner { log2: Vec, } #[derive(Clone)] pub struct BenchService { inner: Arc>, } impl BenchService { fn new() -> BenchService { BenchService { inner: Arc::default(), } } } #[async_trait::async_trait] impl Service for BenchService { async fn handler(&self, args: BenchArgs) -> Result { self.inner.lock().unwrap().log2.push(args.x); Ok(BenchReply { x: format!("handler-{}", args.x), }) } } fn bench_suit() -> (Network, Server, BenchService) { let net = Network::new(); let server_name = "test_server".to_owned(); let mut builder = ServerBuilder::new(server_name); let bench_server = BenchService::new(); add_service(bench_server.clone(), &mut builder).unwrap(); let server = builder.build(); net.add_server(server.clone()); (net, server, bench_server) } fn bench_rpc(c: &mut Criterion) { let (net, server, _bench_server) = bench_suit(); let server_name = server.name(); let client_name = "client"; let client = BenchClient::new(net.create_client(client_name.to_owned())); net.connect(client_name, server_name); net.enable(client_name, true); c.bench_function("rpc", |b| { b.iter(|| { black_box(block_on(async { client.handler(&BenchArgs { x: 111 }).await.unwrap() })); }) // i7-8650U, 13 microseconds per RPC }); } criterion_group!(benches, bench_rpc); criterion_main!(benches); ================================================ FILE: courses/dss/labrpc/examples/echo.rs ================================================ use futures::executor::block_on; use prost_derive::Message; use labrpc::*; /// A Hand-written protobuf messages #[derive(Clone, PartialEq, Message)] pub struct Echo { #[prost(int64, tag = "1")] pub x: i64, } service! { service echo { rpc ping(Echo) returns (Echo); } } use echo::{add_service, Client, Service}; #[derive(Clone)] struct EchoService; #[async_trait::async_trait] impl Service for EchoService { async fn ping(&self, input: Echo) -> Result { Ok(input) } } fn main() { let rn = Network::new(); let server_name = "echo_server"; let mut builder = ServerBuilder::new(server_name.to_owned()); add_service(EchoService, &mut builder).unwrap(); let server = builder.build(); rn.add_server(server); let client_name = "client"; let client = Client::new(rn.create_client(client_name.to_owned())); rn.enable(client_name, true); rn.connect(client_name, server_name); let reply = block_on(async { client.ping(&Echo { x: 777 }).await.unwrap() }); assert_eq!(reply, Echo { x: 777 }); println!("{:?}", reply); } ================================================ FILE: courses/dss/labrpc/src/client.rs ================================================ use std::fmt; use std::sync::{Arc, Mutex}; use futures::channel::mpsc::UnboundedSender; use futures::channel::oneshot; use futures::executor::ThreadPool; use futures::future::{self, FutureExt}; use crate::error::{Error, Result}; use crate::server::RpcFuture; pub struct Rpc { pub(crate) client_name: String, pub(crate) fq_name: &'static str, pub(crate) req: Option>, pub(crate) resp: Option>>>, pub(crate) hooks: Arc>>>, } impl Rpc { pub(crate) fn take_resp_sender(&mut self) -> Option>>> { self.resp.take() } } impl fmt::Debug for Rpc { fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { f.debug_struct("Rpc") .field("client_name", &self.client_name) .field("fq_name", &self.fq_name) .finish() } } pub trait RpcHooks: Sync + Send + 'static { fn before_dispatch(&self, fq_name: &str, req: &[u8]) -> Result<()>; fn after_dispatch(&self, fq_name: &str, resp: Result>) -> Result>; } #[derive(Clone)] pub struct Client { // this end-point's name pub(crate) name: String, // copy of Network.sender pub(crate) sender: UnboundedSender, pub(crate) hooks: Arc>>>, pub worker: ThreadPool, } impl Client { pub fn call(&self, fq_name: &'static str, req: &Req) -> RpcFuture> where Req: labcodec::Message, Rsp: labcodec::Message + 'static, { let mut buf = vec![]; if let Err(e) = labcodec::encode(req, &mut buf) { return Box::pin(future::err(Error::Encode(e))); } let (tx, rx) = oneshot::channel(); let rpc = Rpc { client_name: self.name.clone(), fq_name, req: Some(buf), resp: Some(tx), hooks: self.hooks.clone(), }; // Sends requests and waits responses. if self.sender.unbounded_send(rpc).is_err() { return Box::pin(future::err(Error::Stopped)); } Box::pin(rx.then(|res| async move { match res { Ok(Ok(resp)) => labcodec::decode(&resp).map_err(Error::Decode), Ok(Err(e)) => Err(e), Err(e) => Err(Error::Recv(e)), } })) } pub fn set_hooks(&self, hooks: Arc) { *self.hooks.lock().unwrap() = Some(hooks); } pub fn clear_hooks(&self) { *self.hooks.lock().unwrap() = None; } } ================================================ FILE: courses/dss/labrpc/src/error.rs ================================================ use std::{error, fmt, result}; use futures::channel::oneshot::Canceled; use labcodec::{DecodeError, EncodeError}; #[derive(Clone, Debug, PartialEq, Eq)] pub enum Error { Unimplemented(String), Encode(EncodeError), Decode(DecodeError), Recv(Canceled), Timeout, Stopped, Other(String), } impl fmt::Display for Error { fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { write!(f, "{:?}", self) } } impl error::Error for Error { fn source(&self) -> Option<&(dyn error::Error + 'static)> { match *self { Error::Encode(ref e) => Some(e), Error::Decode(ref e) => Some(e), Error::Recv(ref e) => Some(e), _ => None, } } } pub type Result = result::Result; ================================================ FILE: courses/dss/labrpc/src/lib.rs ================================================ #![allow(clippy::new_without_default)] mod client; mod error; #[macro_use] mod macros; mod network; mod server; pub use self::client::{Client, Rpc, RpcHooks}; pub use self::error::{Error, Result}; pub use self::network::Network; pub use self::server::{Handler, HandlerFactory, RpcFuture, Server, ServerBuilder}; #[cfg(test)] pub mod tests { use std::sync::atomic::{AtomicBool, Ordering}; use std::sync::{mpsc, Arc, Mutex, Once}; use std::thread; use std::time::{Duration, Instant}; use futures::channel::oneshot::Canceled; use futures::executor::{block_on, ThreadPool}; use futures::stream::StreamExt; use futures_timer::Delay; use prost_derive::Message; use super::*; service! { /// A simple test-purpose service. service junk { /// Doc comments. rpc handler2(JunkArgs) returns (JunkReply); rpc handler3(JunkArgs) returns (JunkReply); rpc handler4(JunkArgs) returns (JunkReply); } } use junk::{add_service, Client as JunkClient, Service as Junk}; // Hand-written protobuf messages. #[derive(Clone, PartialEq, Message)] pub struct JunkArgs { #[prost(int64, tag = "1")] pub x: i64, } #[derive(Clone, PartialEq, Message)] pub struct JunkReply { #[prost(string, tag = "1")] pub x: String, } #[derive(Default)] struct JunkInner { log2: Vec, } #[derive(Clone)] struct JunkService { inner: Arc>, } impl JunkService { fn new() -> JunkService { JunkService { inner: Arc::default(), } } } #[async_trait::async_trait] impl Junk for JunkService { async fn handler2(&self, args: JunkArgs) -> Result { self.inner.lock().unwrap().log2.push(args.x); Ok(JunkReply { x: format!("handler2-{}", args.x), }) } async fn handler3(&self, args: JunkArgs) -> Result { Delay::new(Duration::from_secs(20)).await; Ok(JunkReply { x: format!("handler3-{}", -args.x), }) } async fn handler4(&self, _: JunkArgs) -> Result { Ok(JunkReply { x: "pointer".to_owned(), }) } } fn init_logger() { static LOGGER_INIT: Once = Once::new(); LOGGER_INIT.call_once(env_logger::init); } #[test] fn test_service_dispatch() { init_logger(); let mut builder = ServerBuilder::new("test".to_owned()); let junk = JunkService::new(); add_service(junk.clone(), &mut builder).unwrap(); let prev_len = builder.services.len(); add_service(junk, &mut builder).unwrap_err(); assert_eq!(builder.services.len(), prev_len); let server = builder.build(); let buf = block_on(async { server.dispatch("junk.handler4", &[]).await.unwrap() }); let rsp = labcodec::decode(&buf).unwrap(); assert_eq!( JunkReply { x: "pointer".to_owned(), }, rsp, ); block_on(async { server .dispatch("junk.handler4", b"bad message") .await .unwrap_err(); server.dispatch("badjunk.handler4", &[]).await.unwrap_err(); server.dispatch("junk.badhandler", &[]).await.unwrap_err(); }); } #[test] fn test_network_client_rpc() { init_logger(); let mut builder = ServerBuilder::new("test".to_owned()); let junk = JunkService::new(); add_service(junk, &mut builder).unwrap(); let server = builder.build(); let (net, incoming) = Network::create(); net.add_server(server); let client = JunkClient::new(net.create_client("test_client".to_owned())); let (tx, rx) = mpsc::channel(); let cli = client.clone(); client.spawn(async move { let reply = cli.handler4(&JunkArgs { x: 777 }).await; tx.send(reply).unwrap(); }); let (mut rpc, incoming) = block_on(async { match incoming.into_future().await { (Some(rpc), s) => (rpc, s), _ => panic!("unexpected error"), } }); let reply = JunkReply { x: "boom!!!".to_owned(), }; let mut buf = vec![]; labcodec::encode(&reply, &mut buf).unwrap(); let resp = rpc.take_resp_sender().unwrap(); resp.send(Ok(buf)).unwrap(); assert_eq!(rpc.client_name, "test_client"); assert_eq!(rpc.fq_name, "junk.handler4"); assert!(!rpc.req.as_ref().unwrap().is_empty()); assert_eq!(rx.recv().unwrap(), Ok(reply)); let (tx, rx) = mpsc::channel(); let cli = client.clone(); client.spawn(async move { let reply = cli.handler4(&JunkArgs { x: 777 }).await; tx.send(reply).unwrap(); }); let (rpc, incoming) = block_on(async { match incoming.into_future().await { (Some(rpc), s) => (rpc, s), _ => panic!("unexpected error"), } }); drop(rpc.resp); assert_eq!(rx.recv().unwrap(), Err(Error::Recv(Canceled))); drop(incoming); assert_eq!( block_on(async { client.handler4(&JunkArgs::default()).await }), Err(Error::Stopped) ); } fn junk_suit() -> (Network, Server, JunkService) { let net = Network::new(); let server_name = "test_server".to_owned(); let mut builder = ServerBuilder::new(server_name); let junk_server = JunkService::new(); add_service(junk_server.clone(), &mut builder).unwrap(); let server = builder.build(); net.add_server(server.clone()); (net, server, junk_server) } #[test] fn test_basic() { init_logger(); let (net, _, _) = junk_suit(); let client = JunkClient::new(net.create_client("test_client".to_owned())); net.connect("test_client", "test_server"); net.enable("test_client", true); let rsp = block_on(async { client.handler4(&JunkArgs::default()).await.unwrap() }); assert_eq!( JunkReply { x: "pointer".to_owned(), }, rsp, ); } // does net.Enable(endname, false) really disconnect a client? #[test] fn test_disconnect() { init_logger(); let (net, _, _) = junk_suit(); let client = JunkClient::new(net.create_client("test_client".to_owned())); net.connect("test_client", "test_server"); block_on(async { client.handler4(&JunkArgs::default()).await.unwrap_err() }); net.enable("test_client", true); let rsp = block_on(async { client.handler4(&JunkArgs::default()).await.unwrap() }); assert_eq!( JunkReply { x: "pointer".to_owned(), }, rsp, ); } // test net.GetCount() #[test] fn test_count() { init_logger(); let (net, _, _) = junk_suit(); let client = JunkClient::new(net.create_client("test_client".to_owned())); net.connect("test_client", "test_server"); net.enable("test_client", true); for i in 0..=16 { let reply = block_on(async { client.handler2(&JunkArgs { x: i }).await.unwrap() }); assert_eq!(reply.x, format!("handler2-{}", i)); } assert_eq!(net.count("test_server"), 17); } // test RPCs from concurrent Clients #[test] fn test_concurrent_many() { init_logger(); let (net, server, _) = junk_suit(); let server_name = server.name(); let pool = ThreadPool::new().unwrap(); let (tx, rx) = mpsc::channel::(); let nclients = 20usize; let nrpcs = 10usize; for i in 0..nclients { let net = net.clone(); let sender = tx.clone(); let server_name = server_name.to_string(); pool.spawn_ok(async move { let mut n = 0; let client_name = format!("client-{}", i); let client = JunkClient::new(net.create_client(client_name.clone())); net.enable(&client_name, true); net.connect(&client_name, &server_name); for j in 0..nrpcs { let x = (i * 100 + j) as i64; let reply = client.handler2(&JunkArgs { x }).await.unwrap(); assert_eq!(reply.x, format!("handler2-{}", x)); n += 1; } sender.send(n).unwrap(); }); } let mut total = 0; for _ in 0..nclients { total += rx.recv().unwrap(); } assert_eq!(total, nrpcs * nclients); let n = net.count(server_name); assert_eq!(n, total); } #[test] fn test_unreliable() { init_logger(); let (net, server, _) = junk_suit(); let server_name = server.name(); net.set_reliable(false); let pool = ThreadPool::new().unwrap(); let (tx, rx) = mpsc::channel::(); let nclients = 300; for i in 0..nclients { let sender = tx.clone(); let mut n = 0; let server_name = server_name.to_owned(); let net = net.clone(); pool.spawn_ok(async move { let client_name = format!("client-{}", i); let client = JunkClient::new(net.create_client(client_name.clone())); net.enable(&client_name, true); net.connect(&client_name, &server_name); let x = i * 100; if let Ok(reply) = client.handler2(&JunkArgs { x }).await { assert_eq!(reply.x, format!("handler2-{}", x)); n += 1; } sender.send(n).unwrap(); }); } let mut total = 0; for _ in 0..nclients { total += rx.recv().unwrap(); } assert!( !(total == nclients as _ || total == 0), "all RPCs succeeded despite unreliable total {}, nclients {}", total, nclients ); } // test concurrent RPCs from a single Client #[test] fn test_concurrent_one() { init_logger(); let (net, server, junk_server) = junk_suit(); let server_name = server.name(); let pool = ThreadPool::new().unwrap(); let (tx, rx) = mpsc::channel::(); let nrpcs = 20; for i in 0..20 { let sender = tx.clone(); let client_name = format!("client-{}", i); let client = JunkClient::new(net.create_client(client_name.clone())); net.enable(&client_name, true); net.connect(&client_name, server_name); pool.spawn_ok(async move { let mut n = 0; let x = i + 100; let reply = client.handler2(&JunkArgs { x }).await.unwrap(); assert_eq!(reply.x, format!("handler2-{}", x)); n += 1; sender.send(n).unwrap() }); } let mut total = 0; for _ in 0..nrpcs { total += rx.recv().unwrap(); } assert_eq!( total, nrpcs, "wrong number of RPCs completed, got {}, expected {}", total, nrpcs ); assert_eq!( junk_server.inner.lock().unwrap().log2.len(), nrpcs, "wrong number of RPCs delivered" ); let n = net.count(server.name()); assert_eq!(n, total, "wrong count() {}, expected {}", n, total); } // regression: an RPC that's delayed during Enabled=false // should not delay subsequent RPCs (e.g. after Enabled=true). #[test] fn test_regression1() { init_logger(); let (net, server, junk_server) = junk_suit(); let server_name = server.name(); let client_name = "client"; let client = JunkClient::new(net.create_client(client_name.to_owned())); net.connect(client_name, server_name); // start some RPCs while the Client is disabled. // they'll be delayed. net.enable(client_name, false); let pool = ThreadPool::new().unwrap(); let (tx, rx) = mpsc::channel::(); let nrpcs = 20; for i in 0..20 { let sender = tx.clone(); let cli = client.clone(); pool.spawn_ok(async move { let x = i + 100; // this call ought to return false. let _ = cli.handler2(&JunkArgs { x }); sender.send(true).unwrap(); }); } // FIXME: have to sleep 300ms to pass the test // in my computer (i5-4200U, 4 threads). thread::sleep(Duration::from_millis(100 * 3)); let t0 = Instant::now(); net.enable(client_name, true); let x = 99; let reply = block_on(async { client.handler2(&JunkArgs { x }).await.unwrap() }); assert_eq!(reply.x, format!("handler2-{}", x)); let dur = t0.elapsed(); assert!( dur < Duration::from_millis(30), "RPC took too long ({:?}) after Enable", dur ); for _ in 0..nrpcs { rx.recv().unwrap(); } let len = junk_server.inner.lock().unwrap().log2.len(); assert_eq!( len, 1, "wrong number ({}) of RPCs delivered, expected 1", len ); let n = net.count(server.name()); assert_eq!(n, 1, "wrong count() {}, expected 1", n); } // if an RPC is stuck in a server, and the server // is killed with DeleteServer(), does the RPC // get un-stuck? #[test] fn test_killed() { init_logger(); let (net, server, _junk_server) = junk_suit(); let server_name = server.name(); let client_name = "client"; let client = JunkClient::new(net.create_client(client_name.to_owned())); net.connect(client_name, server_name); net.enable(client_name, true); let (tx, rx) = mpsc::channel(); let cli = client.clone(); client.spawn(async move { let reply = cli.handler3(&JunkArgs { x: 99 }).await; tx.send(reply).unwrap(); }); thread::sleep(Duration::from_secs(1)); rx.recv_timeout(Duration::from_millis(100)).unwrap_err(); net.delete_server(server_name); let reply = rx.recv_timeout(Duration::from_millis(100)).unwrap(); assert_eq!(reply, Err(Error::Stopped)); } struct Hooks { drop_req: AtomicBool, drop_resp: AtomicBool, } impl RpcHooks for Hooks { fn before_dispatch(&self, _: &str, _: &[u8]) -> Result<()> { if self.drop_req.load(Ordering::Relaxed) { Err(Error::Other("reqhook".to_owned())) } else { Ok(()) } } fn after_dispatch(&self, _: &str, resp: Result>) -> Result> { if self.drop_resp.load(Ordering::Relaxed) { Err(Error::Other("resphook".to_owned())) } else { resp } } } #[test] fn test_rpc_hooks() { init_logger(); let (net, _, _) = junk_suit(); let raw_cli = net.create_client("test_client".to_owned()); let hook = Arc::new(Hooks { drop_req: AtomicBool::new(false), drop_resp: AtomicBool::new(false), }); raw_cli.set_hooks(hook.clone()); let client = JunkClient::new(raw_cli); net.connect("test_client", "test_server"); net.enable("test_client", true); let i = 100; let reply = block_on(async { client.handler2(&JunkArgs { x: i }).await.unwrap() }); assert_eq!(reply.x, format!("handler2-{}", i)); hook.drop_req.store(true, Ordering::Relaxed); assert_eq!( block_on(async { client.handler2(&JunkArgs { x: i }).await.unwrap_err() }), Error::Other("reqhook".to_owned()) ); hook.drop_req.store(false, Ordering::Relaxed); hook.drop_resp.store(true, Ordering::Relaxed); assert_eq!( block_on(async { client.handler2(&JunkArgs { x: i }).await.unwrap_err() }), Error::Other("resphook".to_owned()) ); hook.drop_resp.store(false, Ordering::Relaxed); block_on(async { client.handler2(&JunkArgs { x: i }).await.unwrap() }); assert_eq!(reply.x, format!("handler2-{}", i)); } } ================================================ FILE: courses/dss/labrpc/src/macros.rs ================================================ #[macro_export] macro_rules! service { () => { compile_error!("empty service is not allowed"); }; ( $(#[$service_attr:meta])* service $svc_name:ident { $( $(#[$method_attr:meta])* rpc $method_name:ident($input:ty) returns ($output:ty); )* } ) => { $(#[$service_attr])* pub mod $svc_name { // In order to find input and output. use super::*; // $( use super::$input; )* // $( use super::$output;)* extern crate futures as __futures; #[async_trait::async_trait] pub trait Service: Clone + Send + 'static { $( $(#[$method_attr])* async fn $method_name(&self, req: $input) -> $crate::Result<$output>; )* } #[derive(Clone)] pub struct Client { client: $crate::Client, } impl Client { pub fn new(client: $crate::Client) -> Client { Client { client } } pub fn spawn(&self, f: F) where F: __futures::Future + Send + 'static { self.client.worker.spawn_ok(f); } $(pub fn $method_name(&self, args: &$input) -> $crate::RpcFuture<$crate::Result<$output>> { let fq_name = concat!(stringify!($svc_name), ".", stringify!($method_name)); self.client.call(fq_name, args) })* } pub fn add_service(svc: T, builder: &mut $crate::ServerBuilder) -> $crate::Result<()> { use ::std::sync::Mutex; struct Factory { svc: Mutex, } impl $crate::HandlerFactory for Factory { fn handler(&self, name: &'static str) -> Box<$crate::Handler> { let s = self.svc.lock().unwrap().clone(); Box::new(move |req| { match name { $(stringify!($method_name) => { let request = match labcodec::decode(req) { Ok(req) => req, Err(e) => return Box::pin(__futures::future::err( $crate::Error::Decode(e) )), }; Box::pin(async move { let f = s.$method_name(request); let resp = f.await; match resp { Ok(resp) => { let mut rsp = vec![]; labcodec::encode(&resp, &mut rsp).map_err($crate::Error::Encode)?; Ok(rsp) } Err(e) => Err(e), } }) })* other => { Box::pin(__futures::future::err( $crate::Error::Unimplemented( format!("unknown {} in {}", other, stringify!($svc_name)) ) )) } } }) } } let fact = Factory { svc: Mutex::new(svc), }; builder.add_service(stringify!($svc_name), Box::new(fact)) } } }; } ================================================ FILE: courses/dss/labrpc/src/network.rs ================================================ use std::collections::HashMap; use std::future::Future; use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering}; use std::sync::{Arc, Mutex}; use std::time::Duration; use futures::channel::mpsc::{unbounded, UnboundedReceiver, UnboundedSender}; use futures::executor::ThreadPool; use futures::future::FutureExt; use futures::select; use futures::stream::StreamExt; use futures_timer::Delay; use log::{debug, error}; use rand::{thread_rng, Rng}; use crate::client::{Client, Rpc}; use crate::error::{Error, Result}; use crate::server::Server; #[derive(Debug)] struct EndInfo { enabled: bool, reliable: bool, long_reordering: bool, server: Option, } struct Endpoints { // by client name enabled: HashMap, // servers, by name servers: HashMap>, // client_name -> server_name connections: HashMap>, } struct NetworkCore { reliable: AtomicBool, // pause a long time on send on disabled connection long_delays: AtomicBool, // sometimes delay replies a long time long_reordering: AtomicBool, endpoints: Mutex, count: AtomicUsize, sender: UnboundedSender, poller: ThreadPool, worker: ThreadPool, } #[derive(Clone)] pub struct Network { core: Arc, } impl Network { pub fn new() -> Network { let (net, incoming) = Network::create(); net.start(incoming); net } pub fn create() -> (Network, UnboundedReceiver) { let (sender, incoming) = unbounded(); let net = Network { core: Arc::new(NetworkCore { reliable: AtomicBool::new(true), long_delays: AtomicBool::new(false), long_reordering: AtomicBool::new(false), endpoints: Mutex::new(Endpoints { enabled: HashMap::new(), servers: HashMap::new(), connections: HashMap::new(), }), count: AtomicUsize::new(0), poller: ThreadPool::builder().pool_size(2).create().unwrap(), worker: ThreadPool::new().unwrap(), sender, }), }; (net, incoming) } fn start(&self, mut incoming: UnboundedReceiver) { let network = self.clone(); self.core.poller.spawn_ok(async move { while let Some(mut rpc) = incoming.next().await { let resp = rpc.take_resp_sender().unwrap(); let net = network.clone(); network.core.poller.spawn_ok(async move { let res = net.process_rpc(rpc).await; if let Err(e) = resp.send(res) { error!("fail to send resp: {:?}", e); } }) } }); } pub fn add_server(&self, server: Server) { let mut eps = self.core.endpoints.lock().unwrap(); eps.servers.insert(server.core.name.clone(), Some(server)); } pub fn delete_server(&self, name: &str) { let mut eps = self.core.endpoints.lock().unwrap(); if let Some(s) = eps.servers.get_mut(name) { *s = None; } } pub fn create_client(&self, name: String) -> Client { let sender = self.core.sender.clone(); let mut eps = self.core.endpoints.lock().unwrap(); eps.enabled.insert(name.clone(), false); eps.connections.insert(name.clone(), None); Client { name, sender, worker: self.core.worker.clone(), hooks: Arc::new(Mutex::new(None)), } } /// Connects a Client to a server. /// a Client can only be connected once in its lifetime. pub fn connect(&self, client_name: &str, server_name: &str) { let mut eps = self.core.endpoints.lock().unwrap(); eps.connections .insert(client_name.to_owned(), Some(server_name.to_owned())); } /// Enable/disable a Client. pub fn enable(&self, client_name: &str, enabled: bool) { debug!( "client {} is {}", client_name, if enabled { "enabled" } else { "disabled" } ); let mut eps = self.core.endpoints.lock().unwrap(); eps.enabled.insert(client_name.to_owned(), enabled); } pub fn set_reliable(&self, yes: bool) { self.core.reliable.store(yes, Ordering::Release); } pub fn set_long_reordering(&self, yes: bool) { self.core.long_reordering.store(yes, Ordering::Release); } pub fn set_long_delays(&self, yes: bool) { self.core.long_delays.store(yes, Ordering::Release); } pub fn count(&self, server_name: &str) -> usize { let eps = self.core.endpoints.lock().unwrap(); eps.servers[server_name].as_ref().unwrap().count() } pub fn total_count(&self) -> usize { self.core.count.load(Ordering::Relaxed) } fn end_info(&self, client_name: &str) -> EndInfo { let eps = self.core.endpoints.lock().unwrap(); let mut server = None; if let Some(Some(server_name)) = eps.connections.get(client_name) { server = eps.servers[server_name].clone(); } EndInfo { enabled: eps.enabled[client_name], reliable: self.core.reliable.load(Ordering::Acquire), long_reordering: self.core.long_reordering.load(Ordering::Acquire), server, } } fn is_server_dead(&self, client_name: &str, server_name: &str, server_id: usize) -> bool { let eps = self.core.endpoints.lock().unwrap(); !eps.enabled[client_name] || eps.servers.get(server_name).map_or(true, |o| { o.as_ref().map(|s| s.core.id != server_id).unwrap_or(true) }) } async fn process_rpc(&self, rpc: Rpc) -> Result> { self.core.count.fetch_add(1, Ordering::Relaxed); let network = self.clone(); let end_info = self.end_info(&rpc.client_name); debug!("{:?} process with {:?}", rpc, end_info); let EndInfo { enabled, reliable, long_reordering, server, } = end_info; match (enabled, server) { (true, Some(server)) => { let short_delay = if !reliable { // short delay let ms = thread_rng().gen::() % 27; Some(ms) } else { None }; if !reliable && (thread_rng().gen::() % 1000) < 100 { // drop the request, return as if timeout Delay::new(Duration::from_secs(short_delay.unwrap())).await; return Err(Error::Timeout); } let drop_reply = !reliable && thread_rng().gen::() % 1000 < 100; let long_reordering = if long_reordering && thread_rng().gen_range(0, 900) < 600i32 { // delay the response for a while let upper_bound: u64 = 1 + thread_rng().gen_range(0, 2000); Some(200 + thread_rng().gen_range(0, upper_bound)) } else { None }; // Dispatch process_rpc( short_delay, drop_reply, long_reordering, rpc, network, server, ) .await } _ => { // simulate no reply and eventual timeout. let ms = if self.core.long_delays.load(Ordering::Acquire) { // let Raft tests check that leader doesn't send // RPCs synchronously. thread_rng().gen::() % 7000 } else { // many kv tests require the client to try each // server in fairly rapid succession. thread_rng().gen::() % 100 }; debug!("{:?} delay {}ms then timeout", rpc, ms); Delay::new(Duration::from_millis(ms)).await; Err(Error::Timeout) } } } /// Spawns a future to run on this net framework. pub fn spawn(&self, f: F) where F: Future + Send + 'static, { self.core.worker.spawn_ok(f); } /// Spawns a future to run on this net framework. pub fn spawn_poller(&self, f: F) where F: Future + Send + 'static, { self.core.poller.spawn_ok(f); } } async fn process_rpc( mut delay: Option, drop_reply: bool, long_reordering: Option, mut rpc: Rpc, network: Network, server: Server, ) -> Result> { // Dispatch =============================================================== if let Some(delay) = delay { Delay::new(Duration::from_millis(delay)).await; } // We has finished the delay, take it out to prevent polling // twice. delay.take(); let fq_name = rpc.fq_name; let req = rpc.req.take().unwrap(); if let Some(hooks) = rpc.hooks.lock().unwrap().as_ref() { hooks.before_dispatch(fq_name, &req)?; } // Execute the request (call the RPC handler) in a separate thread so that // we can periodically check if the server has been killed and the RPC // should get a failure reply. // // do not reply if DeleteServer() has been called, i.e. the server has been killed. // this is needed to avoid situation in which a client gets a positive reply // to an Append, but the server persisted the update into the old Persister. // config.go is careful to call DeleteServer() before superseding the Persister. let resp = select! { res = server.dispatch(fq_name, &req).fuse() => res, _ = server_dead( Duration::from_millis(100), network.clone(), &rpc.client_name, &server.core.name, server.core.id, ).fuse() => Err(Error::Stopped), }; let resp = if let Some(hooks) = rpc.hooks.lock().unwrap().as_ref() { hooks.after_dispatch(fq_name, resp)? } else { resp? }; // Ongoing ================================================================ let client_name = &rpc.client_name; let server_name = &server.core.name; let server_id = server.core.id; if network.is_server_dead(client_name, server_name, server_id) { return Err(Error::Stopped); } if drop_reply { // drop the reply, return as if timeout. return Err(Error::Timeout); } // Reordering ============================================================= if let Some(reordering) = long_reordering { debug!("{:?} next long reordering {}ms", rpc, reordering); Delay::new(Duration::from_millis(reordering)).await; Ok(resp) } else { Ok(resp) } } /// Checks if the specified server killed. /// /// It will return when the server is killed. async fn server_dead( interval: Duration, net: Network, client_name: &str, server_name: &str, server_id: usize, ) { loop { Delay::new(interval).await; if net.is_server_dead(client_name, server_name, server_id) { debug!("{:?} is dead", server_name); return; } } } ================================================ FILE: courses/dss/labrpc/src/server.rs ================================================ use std::collections::hash_map::{Entry, HashMap}; use std::fmt; use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::Arc; use futures::future::{self, BoxFuture}; use crate::error::{Error, Result}; static ID_ALLOC: AtomicUsize = AtomicUsize::new(0); pub type RpcFuture = BoxFuture<'static, T>; pub type Handler = dyn FnOnce(&[u8]) -> RpcFuture>>; pub trait HandlerFactory: Sync + Send + 'static { fn handler(&self, name: &'static str) -> Box; } pub struct ServerBuilder { name: String, // Service name -> service methods pub(crate) services: HashMap<&'static str, Box>, } impl ServerBuilder { pub fn new(name: String) -> ServerBuilder { ServerBuilder { name, services: HashMap::new(), } } pub fn add_service( &mut self, service_name: &'static str, factory: Box, ) -> Result<()> { match self.services.entry(service_name) { Entry::Occupied(_) => Err(Error::Other(format!( "{} has already registered", service_name ))), Entry::Vacant(entry) => { entry.insert(factory); Ok(()) } } } pub fn build(self) -> Server { Server { core: Arc::new(ServerCore { name: self.name, services: self.services, id: ID_ALLOC.fetch_add(1, Ordering::Relaxed), count: AtomicUsize::new(0), }), } } } pub(crate) struct ServerCore { pub(crate) name: String, pub(crate) id: usize, pub(crate) services: HashMap<&'static str, Box>, pub(crate) count: AtomicUsize, } #[derive(Clone)] pub struct Server { pub(crate) core: Arc, } impl Server { pub fn count(&self) -> usize { self.core.count.load(Ordering::Relaxed) } pub fn name(&self) -> &str { &self.core.name } pub(crate) fn dispatch(&self, fq_name: &'static str, req: &[u8]) -> RpcFuture>> { self.core.count.fetch_add(1, Ordering::Relaxed); let mut names = fq_name.split('.'); let service_name = match names.next() { Some(n) => n, None => { return Box::pin(future::err(Error::Unimplemented(format!( "unknown {}", fq_name )))); } }; let method_name = match names.next() { Some(n) => n, None => { return Box::pin(future::err(Error::Unimplemented(format!( "unknown {}", fq_name )))); } }; if let Some(factory) = self.core.services.get(service_name) { let handle = factory.handler(method_name); handle(req) } else { Box::pin(future::err(Error::Unimplemented(format!( "unknown {}", fq_name )))) } } } impl fmt::Debug for Server { fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { f.debug_struct("Server") .field("name", &self.core.name) .field("id", &self.core.id) .finish() } } ================================================ FILE: courses/dss/linearizability/Cargo.toml ================================================ [package] name = "linearizability" version = "0.1.0" edition = "2018" publish = false [dev-dependencies] regex = "1.3" lazy_static = "1.4" ================================================ FILE: courses/dss/linearizability/src/bitset.rs ================================================ use std::num::Wrapping; #[derive(Clone)] pub struct Bitset(Vec); impl Bitset { pub fn new(bits: usize) -> Self { let extra = if bits % 64 != 0 { 1 } else { 0 }; Bitset(vec![0; bits / 64 + extra]) } pub fn set(&mut self, pos: usize) { let (major, minor) = bitset_index(pos); self.0[major] |= 1 << minor; } pub fn clear(&mut self, pos: usize) { let (major, minor) = bitset_index(pos); self.0[major] &= !(1 << minor); } fn popcnt(&self) -> usize { let mut total = 0; for b in &self.0 { let mut v = *b; v = (v & 0x5555_5555_5555_5555) + ((v & 0xAAAA_AAAA_AAAA_AAAA) >> 1); v = (v & 0x3333_3333_3333_3333) + ((v & 0xCCCC_CCCC_CCCC_CCCC) >> 2); v = (v & 0x0F0F_0F0F_0F0F_0F0F) + ((v & 0xF0F0_F0F0_F0F0_F0F0) >> 4); v = (Wrapping(v) * Wrapping(0x0101_0101_0101_0101)).0; total += ((v >> 56) & 0xFF) as usize; } total } pub fn hash(&self) -> u64 { let mut hash = self.popcnt() as u64; for v in &self.0 { hash ^= v; } hash } pub fn equals(&self, b2: &Bitset) -> bool { let b = &self.0; let b2 = &b2.0; if b.len() != b2.len() { return false; } for i in 0..b.len() { if b[i] != b2[i] { return false; } } true } } fn bitset_index(pos: usize) -> (usize, usize) { (pos / 64, pos % 64) } ================================================ FILE: courses/dss/linearizability/src/lib.rs ================================================ mod bitset; pub mod model; pub mod models; use std::cell::{Ref, RefCell}; use std::collections::HashMap; use std::fmt::Debug; use std::rc::Rc; use std::sync::atomic::{AtomicBool, Ordering}; use std::sync::mpsc::{channel, Receiver, RecvTimeoutError}; use std::sync::Arc; use std::thread; use std::time::Duration; use crate::bitset::Bitset; use crate::model::{Event, EventKind, Events, Model, Operations, Value}; enum EntryKind { CallEntry, ReturnEntry, } struct Entry { pub kind: EntryKind, pub value: T, pub id: usize, pub time: i64, } fn make_entries(history: Operations) -> Vec>> { let mut entries = Vec::new(); for (id, elem) in history.into_iter().enumerate() { entries.push(Entry { kind: EntryKind::CallEntry, value: Value::Input(elem.input), id, time: elem.call, }); entries.push(Entry { kind: EntryKind::ReturnEntry, value: Value::Output(elem.output), id, time: elem.finish, }) } entries.sort_by(|a, b| a.time.partial_cmp(&b.time).unwrap()); entries } struct LinkedNodes { head: Option>, } impl LinkedNodes { pub fn new() -> Self { LinkedNodes { head: None } } pub fn head(&self) -> Option> { self.head.clone() } pub fn from_entries(entries: Vec>) -> Self { let mut matches: HashMap> = HashMap::new(); let mut nodes = Self::new(); for entry in entries.into_iter().rev() { nodes.push_front(match entry.kind { EntryKind::CallEntry => Rc::new(RefCell::new(Node { value: entry.value, matched: matches.get(&entry.id).cloned(), id: entry.id, next: None, prev: None, })), EntryKind::ReturnEntry => { let node = Rc::new(RefCell::new(Node { value: entry.value, matched: None, id: entry.id, next: None, prev: None, })); matches.insert(entry.id, node.clone()); node } }) } nodes } pub fn len(&self) -> usize { let mut len = 0; let mut entry = self.head.clone(); while let Some(e) = entry { entry = e.borrow().next.clone(); len += 1; } len } pub fn push_front(&mut self, new_head: LinkNode) { match self.head.take() { Some(old_head) => { old_head.borrow_mut().prev = Some(new_head.clone()); new_head.borrow_mut().next = Some(old_head); self.head = Some(new_head); } None => { self.head = Some(new_head); } } } } type LinkNode = Rc>>; struct Node { pub value: T, pub matched: Option>, pub id: usize, pub next: Option>, pub prev: Option>, } fn renumber(events: Vec>) -> Vec> { let mut e = Vec::new(); let mut m: HashMap = HashMap::new(); // renumbering let mut id: usize = 0; for event in events { e.push(Event { kind: event.kind, value: event.value, id: *m.entry(event.id).or_insert_with(|| { id += 1; id - 1 }), }); } e } fn convert_entries(events: Vec>) -> Vec> { let mut entries = Vec::new(); for event in events { entries.push(match event.kind { EventKind::CallEvent => Entry { kind: EntryKind::CallEntry, value: event.value, id: event.id, time: -1, }, EventKind::ReturnEvent => Entry { kind: EntryKind::ReturnEntry, value: event.value, id: event.id, time: -1, }, }) } entries } struct CacheEntry { linearized: Bitset, state: T, } fn cache_contains( model: &M, cache: &HashMap>>, entry: &CacheEntry, ) -> bool { if cache.contains_key(&entry.linearized.hash()) { for elem in &cache[&entry.linearized.hash()] { if entry.linearized.equals(&elem.linearized) && model.equal(&entry.state, &elem.state) { return true; } } } false } struct CallsEntry { entry: Option>, state: T, } fn lift(entry: &LinkNode) { let prev = Ref::map(entry.borrow(), |e| e.prev.as_ref().unwrap()); prev.borrow_mut().next = entry.borrow().next.clone(); let next = Ref::map(entry.borrow(), |e| e.next.as_ref().unwrap()); next.borrow_mut().prev = entry.borrow().prev.clone(); let matched = Ref::map(entry.borrow(), |e| e.matched.as_ref().unwrap()); let matched_prev = Ref::map(matched.borrow(), |e| e.prev.as_ref().unwrap()); matched_prev.borrow_mut().next = matched.borrow().next.clone(); if matched.borrow().next.is_some() { let matched_next = Ref::map(matched.borrow(), |e| e.next.as_ref().unwrap()); matched_next.borrow_mut().prev = matched.borrow().prev.clone(); } } fn unlift(entry: &LinkNode) { { let matched = Ref::map(entry.borrow(), |e| e.matched.as_ref().unwrap()); let matched_prev = Ref::map(matched.borrow(), |e| e.prev.as_ref().unwrap()); matched_prev.borrow_mut().next = Some(matched.clone()); if matched.borrow().next.is_some() { let matched_next = Ref::map(matched.borrow(), |e| e.next.as_ref().unwrap()); matched_next.borrow_mut().prev = Some(matched.clone()); } } let prev = Ref::map(entry.borrow(), |e| e.prev.as_ref().unwrap()); prev.borrow_mut().next = Some(entry.clone()); let next = Ref::map(entry.borrow(), |e| e.next.as_ref().unwrap()); next.borrow_mut().prev = Some(entry.clone()); } fn check_single( model: M, mut subhistory: LinkedNodes>, kill: Arc, ) -> bool { let n = subhistory.len() / 2; let mut linearized = Bitset::new(n); let mut cache = HashMap::new(); let mut calls = vec![]; let mut state = model.init(); subhistory.push_front(Rc::new(RefCell::new(Node { value: Value::None, matched: None, id: usize::max_value(), prev: None, next: None, }))); let head_entry = subhistory.head().unwrap(); let mut entry = head_entry.borrow().next.clone(); while head_entry.borrow().next.is_some() { if kill.load(Ordering::SeqCst) { return false; } let matched = entry.as_ref().unwrap().borrow().matched.clone(); entry = if let Some(matching) = matched { // the return entry let res = model.step( &state, entry.as_ref().unwrap().borrow().value.input(), matching.borrow().value.output(), ); match res { (true, new_state) => { let mut new_linearized = linearized.clone(); new_linearized.set(entry.as_ref().unwrap().borrow().id); let new_cache_entry = CacheEntry { linearized: new_linearized.clone(), state: new_state.clone(), }; if !cache_contains(&model, &cache, &new_cache_entry) { let hash = new_linearized.hash(); cache.entry(hash).or_default().push(new_cache_entry); calls.push(CallsEntry { entry: entry.clone(), state, }); state = new_state; linearized.set(entry.as_ref().unwrap().borrow().id); lift(entry.as_ref().unwrap()); head_entry.borrow().next.clone() } else { entry.as_ref().unwrap().borrow().next.clone() } } (false, _) => entry.as_ref().unwrap().borrow().next.clone(), } } else { if calls.is_empty() { return false; } let calls_top = calls.pop().unwrap(); entry = calls_top.entry; state = calls_top.state; linearized.clear(entry.as_ref().unwrap().borrow().id); unlift(entry.as_ref().unwrap()); entry.as_ref().unwrap().borrow().next.clone() } } true } pub fn check_operations(model: M, history: Operations) -> bool { check_operations_timeout(model, history, Duration::new(0, 0)) } // timeout = 0 means no timeout // if this operation times out, then a false positive is possible pub fn check_operations_timeout( model: M, history: Operations, timeout: Duration, ) -> bool { let partitions = model.partition(history); let (tx, rx) = channel(); let mut handles = vec![]; let kill = Arc::new(AtomicBool::new(false)); let count = partitions.len(); for subhistory in partitions { let tx = tx.clone(); let kill = Arc::clone(&kill); let m = model.clone(); let handle = thread::spawn(move || { let l = LinkedNodes::from_entries(make_entries(subhistory)); let _ = tx.send(check_single(m, l, kill)); }); handles.push(handle); } let res = wait_res(rx, kill, count, timeout); for handle in handles { handle.join().unwrap(); } res } pub fn check_events(model: M, history: Events) -> bool { check_events_timeout(model, history, Duration::new(0, 0)) } // timeout = 0 means no timeout // if this operation times out, then a false positive is possible pub fn check_events_timeout( model: M, history: Events, timeout: Duration, ) -> bool { let partitions = model.partition_event(history); let (tx, rx) = channel(); let mut handles = vec![]; let kill = Arc::new(AtomicBool::new(false)); let count = partitions.len(); for subhistory in partitions { let tx = tx.clone(); let kill = Arc::clone(&kill); let m = model.clone(); let handle = thread::spawn(move || { let l = LinkedNodes::from_entries(convert_entries(renumber(subhistory))); let _ = tx.send(check_single(m, l, kill)); }); handles.push(handle); } let res = wait_res(rx, kill, count, timeout); for handle in handles { handle.join().unwrap(); } res } fn wait_res( rx: Receiver, kill: Arc, mut count: usize, timeout: Duration, ) -> bool { let mut ok = true; loop { match if timeout.as_secs() == 0 && timeout.subsec_nanos() == 0 { rx.recv().map_err(From::from) } else { rx.recv_timeout(timeout) } { Ok(res) => { ok = ok && res; if !ok { kill.store(true, Ordering::SeqCst); break; } count -= 1; if count == 0 { break; } } Err(RecvTimeoutError::Timeout) => break, Err(e) => panic!("recv err: {}", e), } } ok } ================================================ FILE: courses/dss/linearizability/src/model.rs ================================================ use std::cmp::PartialEq; use std::fmt::Debug; use std::fmt::Display; use std::marker::Send; #[derive(Debug)] pub enum Value { Input(I), Output(O), None, } impl Value { pub fn input(&self) -> &I { if let Value::Input(i) = self { i } else { panic!("Not a input") } } pub fn output(&self) -> &O { if let Value::Output(o) = self { o } else { panic!("Not a output") } } } #[derive(Debug)] pub struct Operation { pub input: I, pub call: i64, // invocation time pub output: O, pub finish: i64, // response time } pub enum EventKind { CallEvent, ReturnEvent, } pub struct Event { pub kind: EventKind, pub value: T, pub id: usize, } pub type Operations = Vec>; pub type Events = Vec>>; pub trait Model: Clone + Send + 'static { type State: Clone + Display + PartialEq; type Input: Send + Debug + 'static; type Output: Send + Debug + 'static; // Partition functions, such that a history is linearizable if an only // if each partition is linearizable. If you don't want to implement // this, you can always use the `NoPartition` functions implemented // below. fn partition( &self, history: Operations, ) -> Vec> { vec![history] } fn partition_event( &self, history: Events, ) -> Vec> { vec![history] } // Initial state of the system. fn init(&self) -> Self::State; // Step function for the system. Returns whether or not the system // could take this step with the given inputs and outputs and also // returns the new state. This should not mutate the existing state. fn step( &self, state: &Self::State, input: &Self::Input, output: &Self::Output, ) -> (bool, Self::State); // Equality on states. If you are using a simple data type for states, // you can use the `ShallowEqual` function implemented below. fn equal(&self, state1: &Self::State, state2: &Self::State) -> bool { state1 == state2 } } ================================================ FILE: courses/dss/linearizability/src/models.rs ================================================ use std::collections::HashMap; use super::model::{EventKind, Events, Model, Operations}; #[derive(Clone, Debug)] pub enum Op { Get, Put, Append, } #[derive(Clone, Debug)] pub struct KvInput { pub op: Op, pub key: String, pub value: String, } #[derive(Clone, Debug)] pub struct KvOutput { pub value: String, } #[derive(Clone, Default)] pub struct KvModel {} impl Model for KvModel { type State = String; type Input = KvInput; type Output = KvOutput; fn partition( &self, history: Operations, ) -> Vec> { let mut map = HashMap::new(); for op in history { let v = map.entry(op.input.key.clone()).or_insert_with(Vec::new); (*v).push(op); } let mut ret = vec![]; for (_, ops) in map { ret.push(ops); } ret } fn partition_event( &self, history: Events, ) -> Vec> { let mut m = HashMap::new(); let mut matched: HashMap = HashMap::new(); for event in history { match event.kind { EventKind::CallEvent => { let key = event.value.input().key.clone(); matched.insert(event.id, key.clone()); m.entry(key).or_insert_with(Vec::new).push(event); } EventKind::ReturnEvent => { let key = matched[&event.id].clone(); m.entry(key).or_insert_with(Vec::new).push(event); } } } let mut ret = vec![]; for (_, v) in m { ret.push(v); } ret } fn init(&self) -> Self::State { // note: we are modeling a single key's value here; // we're partitioning by key, so this is okay "".to_string() } fn step( &self, state: &Self::State, input: &Self::Input, output: &Self::Output, ) -> (bool, Self::State) { match input.op { Op::Get => (&output.value == state, state.clone()), Op::Put => (true, input.value.clone()), Op::Append => (true, state.clone() + &input.value), } } } #[cfg(test)] mod tests { use std::collections::HashMap; use std::fs::File; use std::io::{BufRead, BufReader, Result}; use super::super::check_events; use super::{KvInput, KvModel, KvOutput, Op}; use crate::model::{Event, EventKind, Events, Model, Value}; use regex::Regex; fn check_kv(log_name: String, correct: bool) { let model = KvModel {}; let file_name = format!("../linearizability/test_data/{}.txt", &log_name); let events = match parse_kv_log(&file_name) { Ok(events) => events, Err(e) => panic!("parse kv log {} failed: {}", &file_name, e), }; assert_eq!(check_events(model, events), correct); } fn parse_kv_log( file_name: &str, ) -> Result::Input, ::Output>> { lazy_static::lazy_static! { static ref INVOKE_GET: Regex = Regex::new( r#"\{:process (\d+), :type :invoke, :f :get, :key "(.*)", :value nil\}"# ) .unwrap(); static ref INVOKE_PUT: Regex = Regex::new( r#"\{:process (\d+), :type :invoke, :f :put, :key "(.*)", :value "(.*)"\}"# ) .unwrap(); static ref INVOKE_APPEND: Regex = Regex::new( r#"\{:process (\d+), :type :invoke, :f :append, :key "(.*)", :value "(.*)"\}"# ) .unwrap(); static ref RETURN_GET: Regex = Regex::new(r#"\{:process (\d+), :type :ok, :f :get, :key ".*", :value "(.*)"\}"#) .unwrap(); static ref RETURN_PUT: Regex = Regex::new(r#"\{:process (\d+), :type :ok, :f :put, :key ".*", :value ".*"\}"#) .unwrap(); static ref RETURN_APPEND: Regex = Regex::new(r#"\{:process (\d+), :type :ok, :f :append, :key ".*", :value ".*"\}"#) .unwrap(); } let f = File::open(file_name)?; let buf_reader = BufReader::new(f); let mut events = vec![]; let mut id = 0; let mut procid_map: HashMap = HashMap::new(); for line in buf_reader.lines() { let contents = line.unwrap(); if let Some(args) = INVOKE_GET.captures(&contents) { events.push(Event { kind: EventKind::CallEvent, value: Value::Input(KvInput { op: Op::Get, key: args[2].to_string(), value: "".to_string(), }), id, }); procid_map.insert(args[1].to_string().parse().unwrap(), id); id += 1; } else if let Some(args) = INVOKE_PUT.captures(&contents) { events.push(Event { kind: EventKind::CallEvent, value: Value::Input(KvInput { op: Op::Put, key: args[2].to_string(), value: args[3].to_string(), }), id, }); procid_map.insert(args[1].to_string().parse().unwrap(), id); id += 1; } else if let Some(args) = INVOKE_APPEND.captures(&contents) { events.push(Event { kind: EventKind::CallEvent, value: Value::Input(KvInput { op: Op::Append, key: args[2].to_string(), value: args[3].to_string(), }), id, }); procid_map.insert(args[1].to_string().parse().unwrap(), id); id += 1; } else if let Some(args) = RETURN_GET.captures(&contents) { let match_id = procid_map .remove(&args[1].to_string().parse().unwrap()) .unwrap(); events.push(Event { kind: EventKind::ReturnEvent, value: Value::Output(KvOutput { value: args[2].to_string(), }), id: match_id, }); } else if let Some(args) = RETURN_PUT.captures(&contents) { let match_id = procid_map .remove(&args[1].to_string().parse().unwrap()) .unwrap(); events.push(Event { kind: EventKind::ReturnEvent, value: Value::Output(KvOutput { value: "".to_string(), }), id: match_id, }); } else if let Some(args) = RETURN_APPEND.captures(&contents) { let match_id = procid_map .remove(&args[1].to_string().parse().unwrap()) .unwrap(); events.push(Event { kind: EventKind::ReturnEvent, value: Value::Output(KvOutput { value: "".to_string(), }), id: match_id, }); } else { unreachable!(); } } for (_, match_id) in procid_map { events.push(Event { kind: EventKind::ReturnEvent, value: Value::Output(KvOutput { value: "".to_string(), }), id: match_id, }) } Ok(events) } #[test] fn test_kv_1client_ok() { check_kv("c01-ok".to_string(), true) } #[test] fn test_kv_1client_bad() { check_kv("c01-bad".to_string(), false) } #[test] fn test_kv_10client_ok() { check_kv("c10-ok".to_string(), true) } #[test] fn test_kv_10client_bad() { check_kv("c10-bad".to_string(), false) } #[test] fn test_kv_50client_ok() { check_kv("c50-ok".to_string(), true) } #[test] fn test_kv_50client_bad() { check_kv("c50-bad".to_string(), false) } } ================================================ FILE: courses/dss/linearizability/test_data/c01-bad.txt ================================================ {:process 0, :type :invoke, :f :append, :key "0", :value "x 0 0 y"} {:process 0, :type :ok, :f :append, :key "0", :value "x 0 0 y"} {:process 0, :type :invoke, :f :get, :key "7", :value nil} {:process 0, :type :ok, :f :get, :key "7", :value ""} {:process 0, :type :invoke, :f :get, :key "6", :value nil} {:process 0, :type :ok, :f :get, :key "6", :value ""} {:process 0, :type :invoke, :f :get, :key "5", :value nil} {:process 0, :type :ok, :f :get, :key "5", :value ""} {:process 0, :type :invoke, :f :get, :key "2", :value nil} {:process 0, :type :ok, :f :get, :key "2", :value ""} {:process 0, :type :invoke, :f :append, :key "0", :value "x 0 1 y"} {:process 0, :type :ok, :f :append, :key "0", :value "x 0 1 y"} {:process 0, :type :invoke, :f :get, :key "2", :value nil} {:process 0, :type :ok, :f :get, :key "2", :value ""} {:process 0, :type :invoke, :f :append, :key "0", :value "x 0 2 y"} {:process 0, :type :ok, :f :append, :key "0", :value "x 0 2 y"} {:process 0, :type :invoke, :f :append, :key "0", :value "x 0 3 y"} {:process 0, :type :ok, :f :append, :key "0", :value "x 0 3 y"} {:process 0, :type :invoke, :f :append, :key "0", :value "x 0 4 y"} {:process 0, :type :ok, :f :append, :key "0", :value "x 0 4 y"} {:process 0, :type :invoke, :f :append, :key "5", :value "x 0 5 y"} {:process 0, :type :ok, :f :append, :key "5", :value "x 0 5 y"} {:process 0, :type :invoke, :f :get, :key "6", :value nil} {:process 0, :type :ok, :f :get, :key "6", :value ""} {:process 0, :type :invoke, :f :append, :key "1", :value "x 0 6 y"} {:process 0, :type :ok, :f :append, :key "1", :value "x 0 6 y"} {:process 0, :type :invoke, :f :get, :key "1", :value nil} {:process 0, :type :ok, :f :get, :key "1", :value "x 0 6 y"} {:process 0, :type :invoke, :f :get, :key "3", :value nil} {:process 0, :type :ok, :f :get, :key "3", :value ""} {:process 0, :type :invoke, :f :append, :key "2", :value "x 0 7 y"} {:process 0, :type :ok, :f :append, :key "2", :value "x 0 7 y"} {:process 0, :type :invoke, :f :get, :key "0", :value nil} {:process 0, :type :ok, :f :get, :key "0", :value "x 0 0 yx 0 1 yx 0 2 yx 0 3 yx 0 4 y"} {:process 0, :type :invoke, :f :append, :key "1", :value "x 0 8 y"} {:process 0, :type :ok, :f :append, :key "1", :value "x 0 8 y"} {:process 0, :type :invoke, :f :append, :key "7", :value "x 0 0 y"} {:process 0, :type :ok, :f :append, :key "7", :value "x 0 0 y"} {:process 0, :type :invoke, :f :get, :key "0", :value nil} {:process 0, :type :ok, :f :get, :key "0", :value "x 0 0 yx 0 1 yx 0 2 yx 0 3 yx 0 4 y"} {:process 0, :type :invoke, :f :get, :key "2", :value nil} {:process 0, :type :ok, :f :get, :key "2", :value "x 0 7 y"} {:process 0, :type :invoke, :f :get, :key "5", :value nil} {:process 0, :type :ok, :f :get, :key "5", :value "x 0 5 y"} {:process 0, :type :invoke, :f :get, :key "2", :value nil} {:process 0, :type :ok, :f :get, :key "2", :value "x 0 7 y"} {:process 0, :type :invoke, :f :append, :key "6", :value "x 0 1 y"} {:process 0, :type :ok, :f :append, :key "6", :value "x 0 1 y"} {:process 0, :type :invoke, :f :get, :key "5", :value nil} {:process 0, :type :ok, :f :get, :key "5", :value "x 0 5 y"} {:process 0, :type :invoke, :f :put, :key "1", :value "x 0 2 y"} {:process 0, :type :ok, :f :put, :key "1", :value "x 0 2 y"} {:process 0, :type :invoke, :f :get, :key "6", :value nil} {:process 0, :type :ok, :f :get, :key "6", :value "x 0 1 y"} {:process 0, :type :invoke, :f :append, :key "7", :value "x 0 3 y"} {:process 0, :type :ok, :f :append, :key "7", :value "x 0 3 y"} {:process 0, :type :invoke, :f :append, :key "3", :value "x 0 4 y"} {:process 0, :type :ok, :f :append, :key "3", :value "x 0 4 y"} {:process 0, :type :invoke, :f :get, :key "7", :value nil} {:process 0, :type :ok, :f :get, :key "7", :value "x 0 0 y"} {:process 0, :type :invoke, :f :append, :key "3", :value "x 0 5 y"} {:process 0, :type :ok, :f :append, :key "3", :value "x 0 5 y"} {:process 0, :type :invoke, :f :append, :key "6", :value "x 0 6 y"} {:process 0, :type :ok, :f :append, :key "6", :value "x 0 6 y"} {:process 0, :type :invoke, :f :append, :key "4", :value "x 0 7 y"} {:process 0, :type :ok, :f :append, :key "4", :value "x 0 7 y"} {:process 0, :type :invoke, :f :append, :key "6", :value "x 0 8 y"} {:process 0, :type :ok, :f :append, :key "6", :value "x 0 8 y"} {:process 0, :type :invoke, :f :append, :key "3", :value "x 0 9 y"} {:process 0, :type :ok, :f :append, :key "3", :value "x 0 9 y"} {:process 0, :type :invoke, :f :get, :key "2", :value nil} {:process 0, :type :ok, :f :get, :key "2", :value "x 0 7 y"} {:process 0, :type :invoke, :f :get, :key "7", :value nil} {:process 0, :type :ok, :f :get, :key "7", :value "x 0 0 yx 0 3 y"} {:process 0, :type :invoke, :f :put, :key "2", :value "x 0 10 y"} {:process 0, :type :ok, :f :put, :key "2", :value "x 0 10 y"} ================================================ FILE: courses/dss/linearizability/test_data/c01-ok.txt ================================================ {:process 0, :type :invoke, :f :append, :key "0", :value "x 0 0 y"} {:process 0, :type :ok, :f :append, :key "0", :value "x 0 0 y"} {:process 0, :type :invoke, :f :append, :key "4", :value "x 0 1 y"} {:process 0, :type :ok, :f :append, :key "4", :value "x 0 1 y"} {:process 0, :type :invoke, :f :append, :key "9", :value "x 0 2 y"} {:process 0, :type :ok, :f :append, :key "9", :value "x 0 2 y"} {:process 0, :type :invoke, :f :append, :key "4", :value "x 0 3 y"} {:process 0, :type :ok, :f :append, :key "4", :value "x 0 3 y"} {:process 0, :type :invoke, :f :get, :key "5", :value nil} {:process 0, :type :ok, :f :get, :key "5", :value ""} {:process 0, :type :invoke, :f :get, :key "0", :value nil} {:process 0, :type :ok, :f :get, :key "0", :value "x 0 0 y"} {:process 0, :type :invoke, :f :append, :key "7", :value "x 0 4 y"} {:process 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34 8 yx 6 12 yx 1 12 yx 4 11 yx 36 18 yx 36 20 yx 10 5 yx 2 12 y"} {:process 5, :type :ok, :f :get, :key "6", :value "x 40 4 yx 0 8 yx 25 5 yx 25 7 yx 44 15 yx 31 7 yx 31 10 yx 14 13 yx 4 16 yx 14 14 yx 33 5 yx 8 17 yx 12 2 y"} ================================================ FILE: courses/dss/percolator/Cargo.toml ================================================ [package] name = "percolator" version = "0.1.0" authors = ["Ryan Leung "] edition = "2018" build = "build.rs" publish = false [dependencies] async-trait = "0.1" futures = "0.3" futures-timer = "3.0" log = "0.4" prost = "0.6" prost-derive = "0.6" labrpc = { path = "../labrpc" } labcodec = { path = "../labcodec" } [build-dependencies] prost-build = "0.6" [dev-dependencies] env_logger = "0.7" ================================================ FILE: courses/dss/percolator/README.md ================================================ # The Percolator lab ## What is Percolator Percolator is a system built by Google for incremental processing on a very large data set. Percolator also provides a distributed transaction protocol with ACID snapshot-isolation semantics. You can find more details in the paper: [Large-scale Incremental Processing Using Distributed Transactions and Notifications](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/36726.pdf). ## Lab prerequisites To start this lab, there are some prerequisites you need to: 1. be familiar with Rust (You can also learn something from our Rust training course) 2. know about how protobuf works 3. have basic knowledge of how RPC works 4. have basic knowledge of what is the distributed transaction ## Concepts of the lab ### Server There are two kinds of servers which provide different services in this lab: the TSO server and the storage server. #### TSO server Percolator relies on a service named *timestamp oracle*. The TSO server implemented by `TimestampOracle` can produce timestamps in a strictly increasing order. All transactions need to get the unique timestamp to indicate the execution order. #### Storage server Percolator is built upon the Bigtable, which presents a multi-dimensional sorted map to users. In this lab, the storage server implemented by `MemoryStorage`, which consists of three columns, is used to simulate the Bigtable. These columns which implemented by `BTreeMap` are similar to the column in the Bigtable. In particular, the `MemoryStorage` has three columns: `Write`, `Data`, `Lock` to keep consistent with the Bigtable. Besides, the storage also needs to provide the basic operations like `read`, `write` and `erase` to manipulate the data stored in it. ### Client The client will `begin` a transaction which contains a set of operations, like `get` and `set`, and call `commit` to commit a transaction. Also, the client will call `get_timestamp` to obtain a timestamp. More implementation details can be found in the paper. ## Writing your own implementation There are some comments leaving in this project such as "Your definitions here" or "Your code here". You need to write the code by yourself according to the paper. There are not many strict restrictions, and thus you can define as many variables in both *struct* and *proto* as required to implement the functionality. ## Testing your work You can directly run the following command in the current directory: ```sh make test_percolator ``` ================================================ FILE: courses/dss/percolator/build.rs ================================================ fn main() { prost_build::compile_protos(&["proto/msg.proto"], &["proto"]).unwrap(); println!("cargo:rerun-if-changed=proto"); } ================================================ FILE: courses/dss/percolator/proto/msg.proto ================================================ // Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data. // You can define how you want your data to be structured. // Details can be found in https://developers.google.com/protocol-buffers/docs/proto3. // Once you have defined the message, the `build.rs` will generate the corresponding data structure in `OUT_DIR`. // You can use the structure by importing the `msg` module. // Example: // use crate::msg::CommitRequest; syntax = "proto3"; package msg; message TimestampRequest {} message TimestampResponse {} message GetRequest {} message GetResponse {} message PrewriteRequest {} message PrewriteResponse {} message CommitRequest { bool is_primary = 1; } message CommitResponse {} ================================================ FILE: courses/dss/percolator/src/client.rs ================================================ use labrpc::*; use crate::service::{TSOClient, TransactionClient}; // BACKOFF_TIME_MS is the wait time before retrying to send the request. // It should be exponential growth. e.g. //| retry time | backoff time | //|--------------|----------------| //| 1 | 100 | //| 2 | 200 | //| 3 | 400 | const BACKOFF_TIME_MS: u64 = 100; // RETRY_TIMES is the maximum number of times a client attempts to send a request. const RETRY_TIMES: usize = 3; /// Client mainly has two purposes: /// One is getting a monotonically increasing timestamp from TSO (Timestamp Oracle). /// The other is do the transaction logic. #[derive(Clone)] pub struct Client { // Your definitions here. } impl Client { /// Creates a new Client. pub fn new(tso_client: TSOClient, txn_client: TransactionClient) -> Client { // Your code here. Client {} } /// Gets a timestamp from a TSO. pub fn get_timestamp(&self) -> Result { // Your code here. unimplemented!() } /// Begins a new transaction. pub fn begin(&mut self) { // Your code here. unimplemented!() } /// Gets the value for a given key. pub fn get(&self, key: Vec) -> Result> { // Your code here. unimplemented!() } /// Sets keys in a buffer until commit time. pub fn set(&mut self, key: Vec, value: Vec) { // Your code here. unimplemented!() } /// Commits a transaction. pub fn commit(&self) -> Result { // Your code here. unimplemented!() } } ================================================ FILE: courses/dss/percolator/src/lib.rs ================================================ #[allow(unused_imports)] #[macro_use] extern crate log; // After you finish the implementation, `#[allow(unused)]` should be removed. #[allow(dead_code, unused)] mod client; #[allow(unused)] mod server; mod service; #[cfg(test)] mod tests; // This is related to protobuf as described in `msg.proto`. mod msg { include!(concat!(env!("OUT_DIR"), "/msg.rs")); } ================================================ FILE: courses/dss/percolator/src/server.rs ================================================ use std::collections::BTreeMap; use std::sync::{Arc, Mutex}; use std::time::Duration; use crate::msg::*; use crate::service::*; use crate::*; // TTL is used for a lock key. // If the key's lifetime exceeds this value, it should be cleaned up. // Otherwise, the operation should back off. const TTL: u64 = Duration::from_millis(100).as_nanos() as u64; #[derive(Clone, Default)] pub struct TimestampOracle { // You definitions here if needed. } #[async_trait::async_trait] impl timestamp::Service for TimestampOracle { // example get_timestamp RPC handler. async fn get_timestamp(&self, _: TimestampRequest) -> labrpc::Result { // Your code here. unimplemented!() } } // Key is a tuple (raw key, timestamp). pub type Key = (Vec, u64); #[derive(Clone, PartialEq)] pub enum Value { Timestamp(u64), Vector(Vec), } #[derive(Debug, Clone)] pub struct Write(Vec, Vec); pub enum Column { Write, Data, Lock, } // KvTable is used to simulate Google's Bigtable. // It provides three columns: Write, Data, and Lock. #[derive(Clone, Default)] pub struct KvTable { write: BTreeMap, data: BTreeMap, lock: BTreeMap, } impl KvTable { // Reads the latest key-value record from a specified column // in MemoryStorage with a given key and a timestamp range. #[inline] fn read( &self, key: Vec, column: Column, ts_start_inclusive: Option, ts_end_inclusive: Option, ) -> Option<(&Key, &Value)> { // Your code here. unimplemented!() } // Writes a record to a specified column in MemoryStorage. #[inline] fn write(&mut self, key: Vec, column: Column, ts: u64, value: Value) { // Your code here. unimplemented!() } #[inline] // Erases a record from a specified column in MemoryStorage. fn erase(&mut self, key: Vec, column: Column, commit_ts: u64) { // Your code here. unimplemented!() } } // MemoryStorage is used to wrap a KvTable. // You may need to get a snapshot from it. #[derive(Clone, Default)] pub struct MemoryStorage { data: Arc>, } #[async_trait::async_trait] impl transaction::Service for MemoryStorage { // example get RPC handler. async fn get(&self, req: GetRequest) -> labrpc::Result { // Your code here. unimplemented!() } // example prewrite RPC handler. async fn prewrite(&self, req: PrewriteRequest) -> labrpc::Result { // Your code here. unimplemented!() } // example commit RPC handler. async fn commit(&self, req: CommitRequest) -> labrpc::Result { // Your code here. unimplemented!() } } impl MemoryStorage { fn back_off_maybe_clean_up_lock(&self, start_ts: u64, key: Vec) { // Your code here. unimplemented!() } } ================================================ FILE: courses/dss/percolator/src/service.rs ================================================ use crate::msg::{ CommitRequest, CommitResponse, GetRequest, GetResponse, PrewriteRequest, PrewriteResponse, TimestampRequest, TimestampResponse, }; labrpc::service! { service timestamp { rpc get_timestamp(TimestampRequest) returns (TimestampResponse); } } pub use timestamp::{add_service as add_tso_service, Client as TSOClient, Service}; labrpc::service! { service transaction { rpc get(GetRequest) returns (GetResponse); rpc prewrite(PrewriteRequest) returns (PrewriteResponse); rpc commit(CommitRequest) returns (CommitResponse); } } pub use transaction::{add_service as add_transaction_service, Client as TransactionClient}; ================================================ FILE: courses/dss/percolator/src/tests.rs ================================================ use std::sync::{ atomic::{AtomicBool, Ordering}, Arc, }; use std::thread; use std::time::Duration; use labrpc::*; use prost::Message; use crate::client::Client; use crate::server::{MemoryStorage, TimestampOracle}; use crate::service::{add_transaction_service, add_tso_service, TSOClient, TransactionClient}; struct CommitHooks { drop_req: AtomicBool, drop_resp: AtomicBool, fail_primary: AtomicBool, } impl RpcHooks for CommitHooks { fn before_dispatch(&self, fq_name: &str, req: &[u8]) -> Result<()> { if self.drop_req.load(Ordering::Relaxed) && fq_name == "transaction.commit" { let m = crate::msg::CommitRequest::decode(req).unwrap(); if m.is_primary && !self.fail_primary.load(Ordering::Relaxed) { return Ok(()); } return Err(Error::Other("reqhook".to_owned())); } Ok(()) } fn after_dispatch(&self, fq_name: &str, resp: Result>) -> Result> { if self.drop_resp.load(Ordering::Relaxed) && fq_name == "transaction.commit" { return Err(Error::Other("resphook".to_owned())); } resp } } fn init_logger() { use std::sync::Once; static LOGGER_INIT: Once = Once::new(); LOGGER_INIT.call_once(env_logger::init); } fn init(num_clinet: usize) -> (Network, Vec, Arc) { init_logger(); let mut clients = vec![]; let rn = Network::new(); let tso_server_name = "tso_server"; let mut tso_server_builder = ServerBuilder::new(tso_server_name.to_owned()); let server_name = "server"; let mut server_builder = ServerBuilder::new(server_name.to_owned()); let tso: TimestampOracle = Default::default(); add_tso_service(tso, &mut tso_server_builder).unwrap(); let store: MemoryStorage = Default::default(); add_transaction_service(store, &mut server_builder).unwrap(); let tso_server = tso_server_builder.build(); let server = server_builder.build(); rn.add_server(tso_server); rn.add_server(server); let hook = Arc::new(CommitHooks { drop_req: AtomicBool::new(false), drop_resp: AtomicBool::new(false), fail_primary: AtomicBool::new(false), }); for i in 0..num_clinet { let txn_name_string = format!("txn{}", i); let txn_name = txn_name_string.as_str(); let cli = rn.create_client(txn_name.to_owned()); cli.set_hooks(hook.clone()); let txn_client = TransactionClient::new(cli); rn.enable(txn_name, true); rn.connect(txn_name, server_name); let tso_name_string = format!("tso{}", i); let tso_name = tso_name_string.as_str(); let cli = rn.create_client(tso_name.to_owned()); let tso_client = TSOClient::new(cli); rn.enable(tso_name, true); rn.connect(tso_name, tso_server_name); clients.push(crate::client::Client::new(tso_client, txn_client)); } (rn, clients, hook) } #[test] fn test_get_timestamp_under_unreliable_network() { let (rn, clients, _) = init(3); let mut children = vec![]; for (i, _) in clients.iter().enumerate() { let client = clients[i].to_owned(); let tso_name_string = format!("tso{}", i); rn.enable(tso_name_string.as_str(), false); children.push(thread::spawn(move || { let res = client.get_timestamp(); if i == 2 { assert_eq!(res, Err(Error::Timeout)); } else { assert!(res.is_ok()); } })); } thread::sleep(Duration::from_millis(100)); rn.enable("tso0", true); thread::sleep(Duration::from_millis(200)); rn.enable("tso1", true); thread::sleep(Duration::from_millis(400)); rn.enable("tso2", true); for child in children { child.join().unwrap(); } } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#predicate-many-preceders-pmp fn test_predicate_many_preceders_read_predicates() { let (_, clients, _) = init(3); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); assert_eq!(client1.get(b"3".to_vec()), Ok(Vec::new())); let mut client2 = clients[2].to_owned(); client2.begin(); client2.set(b"3".to_vec(), b"30".to_vec()); assert_eq!(client2.commit(), Ok(true)); assert_eq!(client1.get(b"3".to_vec()), Ok(Vec::new())); } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#predicate-many-preceders-pmp fn test_predicate_many_preceders_write_predicates() { let (_, clients, _) = init(3); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); let mut client2 = clients[2].to_owned(); client2.begin(); client1.set(b"1".to_vec(), b"20".to_vec()); client1.set(b"2".to_vec(), b"30".to_vec()); assert_eq!(client1.get(b"2".to_vec()), Ok(b"20".to_vec())); client2.set(b"2".to_vec(), b"40".to_vec()); assert_eq!(client1.commit(), Ok(true)); assert_eq!(client2.commit(), Ok(false)); } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#lost-update-p4 fn test_lost_update() { let (_, clients, _) = init(3); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); let mut client2 = clients[2].to_owned(); client2.begin(); assert_eq!(client1.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client2.get(b"1".to_vec()), Ok(b"10".to_vec())); client1.set(b"1".to_vec(), b"11".to_vec()); client2.set(b"1".to_vec(), b"11".to_vec()); assert_eq!(client1.commit(), Ok(true)); assert_eq!(client2.commit(), Ok(false)); } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#read-skew-g-single fn test_read_skew_read_only() { let (_, clients, _) = init(3); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); let mut client2 = clients[2].to_owned(); client2.begin(); assert_eq!(client1.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client2.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client2.get(b"2".to_vec()), Ok(b"20".to_vec())); client2.set(b"1".to_vec(), b"12".to_vec()); client2.set(b"2".to_vec(), b"18".to_vec()); assert_eq!(client2.commit(), Ok(true)); assert_eq!(client1.get(b"2".to_vec()), Ok(b"20".to_vec())); } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#read-skew-g-single fn test_read_skew_predicate_dependencies() { let (_, clients, _) = init(3); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); let mut client2 = clients[2].to_owned(); client2.begin(); assert_eq!(client1.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client1.get(b"2".to_vec()), Ok(b"20".to_vec())); client2.set(b"3".to_vec(), b"30".to_vec()); assert_eq!(client2.commit(), Ok(true)); assert_eq!(client1.get(b"3".to_vec()), Ok(Vec::new())); } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#read-skew-g-single fn test_read_skew_write_predicate() { let (_, clients, _) = init(3); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); let mut client2 = clients[2].to_owned(); client2.begin(); assert_eq!(client1.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client2.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client2.get(b"2".to_vec()), Ok(b"20".to_vec())); client2.set(b"1".to_vec(), b"12".to_vec()); client2.set(b"2".to_vec(), b"18".to_vec()); assert_eq!(client2.commit(), Ok(true)); client1.set(b"2".to_vec(), b"30".to_vec()); assert_eq!(client1.commit(), Ok(false)); } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#write-skew-g2-item fn test_write_skew() { let (_, clients, _) = init(3); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); let mut client2 = clients[2].to_owned(); client2.begin(); assert_eq!(client1.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client1.get(b"2".to_vec()), Ok(b"20".to_vec())); assert_eq!(client2.get(b"1".to_vec()), Ok(b"10".to_vec())); assert_eq!(client2.get(b"2".to_vec()), Ok(b"20".to_vec())); client1.set(b"1".to_vec(), b"11".to_vec()); client2.set(b"2".to_vec(), b"21".to_vec()); assert_eq!(client1.commit(), Ok(true)); assert_eq!(client2.commit(), Ok(true)); } #[test] // https://github.com/ept/hermitage/blob/master/sqlserver.md#anti-dependency-cycles-g2 fn test_anti_dependency_cycles() { let (_, clients, _) = init(4); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"1".to_vec(), b"10".to_vec()); client0.set(b"2".to_vec(), b"20".to_vec()); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); let mut client2 = clients[2].to_owned(); client2.begin(); client1.set(b"3".to_vec(), b"30".to_vec()); client2.set(b"4".to_vec(), b"42".to_vec()); assert_eq!(client1.commit(), Ok(true)); assert_eq!(client2.commit(), Ok(true)); let mut client3 = clients[3].to_owned(); client3.begin(); assert_eq!(client3.get(b"3".to_vec()), Ok(b"30".to_vec())); assert_eq!(client3.get(b"4".to_vec()), Ok(b"42".to_vec())); } #[test] fn test_commit_primary_drop_secondary_requests() { let (_, clients, hook) = init(2); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"3".to_vec(), b"30".to_vec()); client0.set(b"4".to_vec(), b"40".to_vec()); client0.set(b"5".to_vec(), b"50".to_vec()); hook.drop_req.store(true, Ordering::Relaxed); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); assert_eq!(client1.get(b"3".to_vec()).unwrap(), b"30"); assert_eq!(client1.get(b"4".to_vec()).unwrap(), b"40"); assert_eq!(client1.get(b"5".to_vec()).unwrap(), b"50"); } #[test] fn test_commit_primary_success() { let (_, clients, hook) = init(2); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"3".to_vec(), b"30".to_vec()); client0.set(b"4".to_vec(), b"40".to_vec()); client0.set(b"5".to_vec(), b"50".to_vec()); hook.drop_req.store(true, Ordering::Relaxed); assert_eq!(client0.commit(), Ok(true)); let mut client1 = clients[1].to_owned(); client1.begin(); assert_eq!(client1.get(b"3".to_vec()).unwrap(), b"30"); assert_eq!(client1.get(b"4".to_vec()).unwrap(), b"40"); assert_eq!(client1.get(b"5".to_vec()).unwrap(), b"50"); } #[test] fn test_commit_primary_success_without_response() { let (_, clients, hook) = init(2); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"3".to_vec(), b"30".to_vec()); client0.set(b"4".to_vec(), b"40".to_vec()); client0.set(b"5".to_vec(), b"50".to_vec()); hook.drop_resp.store(true, Ordering::Relaxed); assert_eq!(client0.commit(), Err(Error::Other("resphook".to_owned()))); let mut client1 = clients[1].to_owned(); client1.begin(); assert_eq!(client1.get(b"3".to_vec()).unwrap(), b"30"); assert_eq!(client1.get(b"4".to_vec()).unwrap(), b"40"); assert_eq!(client1.get(b"5".to_vec()).unwrap(), b"50"); } #[test] fn test_commit_primary_fail() { let (_, clients, hook) = init(2); let mut client0 = clients[0].to_owned(); client0.begin(); client0.set(b"3".to_vec(), b"30".to_vec()); client0.set(b"4".to_vec(), b"40".to_vec()); client0.set(b"5".to_vec(), b"50".to_vec()); hook.drop_req.store(true, Ordering::Relaxed); hook.fail_primary.store(true, Ordering::Relaxed); assert_eq!(client0.commit(), Ok(false)); let mut client1 = clients[1].to_owned(); client1.begin(); assert_eq!(client1.get(b"3".to_vec()), Ok(Vec::new())); assert_eq!(client1.get(b"4".to_vec()), Ok(Vec::new())); assert_eq!(client1.get(b"5".to_vec()), Ok(Vec::new())); } ================================================ FILE: courses/dss/raft/Cargo.toml ================================================ [package] name = "raft" version = "0.1.0" authors = [ "Neil Shen ", "ShuNing ", "Connor ", "庄天翼 ", "MIT 6.824 <6824-staff@lists.csail.mit.edu>" ] edition = "2018" publish = false [dependencies] async-trait = "0.1" futures = "0.3" futures-timer = "3.0" log = "0.4" prost = "0.6" prost-derive = "0.6" rand = "0.7" labcodec = { path = "../labcodec" } labrpc = { path = "../labrpc" } linearizability = { path = "../linearizability"} [dev-dependencies] env_logger = "0.7" [build-dependencies] prost-build = "0.6" ================================================ FILE: courses/dss/raft/README.md ================================================ # The Raft lab This is a series of labs on a key/value storage system built with the Raft consensus algorithm. These labs are derived from the [lab2:raft][6824lab2] and [lab3:kvraft][6824lab3] from the famous [MIT 6.824][6824] course but rewritten in Rust. The following text material is also very influenced by the text material there. [6824lab2]:http://nil.csail.mit.edu/6.824/2018/labs/lab-raft.html [6824lab3]:http://nil.csail.mit.edu/6.824/2018/labs/lab-kvraft.html [6824]:http://nil.csail.mit.edu/6.824/2018/index.html In these labs you will first implement the raft consensus algorithm in the lab2:raft, and then build a key/value service in the lab3:kvraft. Raft is a consensus algorithm that is designed to be easy to understand.You can read material about the Raft itself at [the Raft site][raftsite], including [the extended Raft paper][raftpaper], an interactive visualization of the Raft, and other resource. Those material should be helpful for you to complete this lab. [raftsite]:https://raft.github.io/ ## Getting started First, please clone this repository with `git` to get the source code of the labs. Then, make sure you have `rustup` installed. Also, to make things simpler you should have `make` installed. Now you can run `make test_others` to check that things are going right. You should see all tests passed. (If you are a Windows user, you may have to figure out how to use `make` on Windows, or type the commands from the makefile in the console manually, or just use the Windows Subsystem for Linux) ## The lab2: Raft In this lab you will implement the Raft consensus algorithm. This lab has 3 parts named with 2A, 2B and 2C. To run all the test in this lab, run `make test_2`. Please run the tests multiple times to mak sure your are not passing the tests just by luck. To run just a single test, run `make cargo_test_`. ### The code structure All your codes in this lab should be in the `src/proto/mod.rs`, `src/proto/raft.proto` and `src/raft/mod.rs`. The `src/raft/mod.rs` file should contains your main implementation of Raft. The tester (and your key/value server in lab3) will call methods in this file to use your Raft module. A service calls `Raft::new` to create a Raft peer, and then calls `Node::new` to start the Raft peer. The `Node::get_state`, `Node::is_leader` and `Node::term` will be called to get the current term of the node and whether it thinks it is leader. The `Node::start` will be called when the server need to append the command into the log. `Node::start` should returns immediately without waiting for the log appends to complete. A channel (`apply_ch`) is passed into `Raft::new` and you should send a `ApplyMsg` to the channel for each newly committed log entry. Your implements should use the provided `labrpc` crate to exchange RPCs. The `labrpc` use channels to simulate sockets internally. This makes it easy to test your code under challenging network conditions. Your definition of the RPCs should in `src/proto/mod.rs` and you should implement the RPC server in `impl RaftService for Node`. A set of RPC clients (`peers`) is pass into `Raft::new` for you to send RPCs to other nodes. ### Part 2A In this part you should implement the leader election and heartbeats (`AppendEntries` RPCs without log entries). You should make a single leader to be elected, make leader to remain leader when there are no failures, and have a new leader when old leader fails or packets to/from old leader is lost. To run all the test in this lab, run `make test_2a`. Here are some hints on this part: - Add any state you need to the `Raft` struct. - The `request_vote` RPC is already defined, you just need to fill the `RequestVoteArgs` and `RequestVoteReply` struct. The lab use `labcodec` crate to encode and decode messages in RPC, which internally use the `prost` external crate. See the [prost document][prost] to know how to define structs that is used as messages with `#[Derive(Message)]` and `#[prost(...)]`. - You need to define the `append_entries` RPC by yourself. `labrpc` use a `labrpc::service!` macro to define RPC service and generate server and client traits from your definition. There is an example in `labrpc/examples/echo.rs` which may help you to define new RPCs. - This lab use things from the `futures` external crate heavily like the channels and the `Future` trait. Read things about futures [here][futures]. - You need to make your code take actions periodically or after delays in time. You can use lots of threads and call `std::thread::sleep` ([doc][sleep]), but you can also use the `futures_timer::Delay` and other utilities from the `futures-timer` external crate ([doc][futures-timer]). - Don't forget that you need to make sure that the election timeouts in different peers don't always fire at the same time, or else all peers will vote only for themselves and no one will become the leader. You can generate random numbers using the `rand` external crate ([doc][rand]). - The tester limits the frequency of RPC calls to 10 times per second for each pair of sender and receiver. Please do not just send RPCs repeatedly without wait for a timeout. - The tester requires your Raft to elect a new leader within five seconds of the failure of the old leader (if a majority of peers can still communicate). However, leader election may require multiple rounds in case of a split vote (which can happen if packets are lost or if candidates unluckily choose the same random backoff times). You must pick election timeouts (and thus heartbeat intervals) that are short enough that it's very likely that an election will complete in less than five seconds even if it requires multiple rounds. - But also, since the tester limits the frequency of RPC calls, your election timeout should not be too small, and larger than the 150~300 milliseconds in the paper's Section 5.2. Choose the values wisely. - In Rust we lock data instead of code. Think carefully about what data should be in the same lock. - The Figure 2 in the [Raft paper][raftpaper] is useful when you are in trouble passing the test. - It's useful to debug by printing log messages. We use the external `log` crate ([doc][log]) to print logs in different levels. you can configure the log level and scope by set LOG_LEVEL environment variable like `LOG_LEVEL=labs6824=debug make test_2a`. This feature is provided by the `env_logger` external crate ([doc][env_logger]), read it's documentation for syntax of the log level. Also, you can collect the output in a file by redirecting the output to a file like `make test_2a 2>test.log` [prost]:https://github.com/danburkert/prost [futures]:https://docs.rs/futures/0.3/futures/index.html [sleep]:https://doc.rust-lang.org/std/thread/fn.sleep.html [futures-timer]:https://docs.rs/futures-timer/3.0/futures_timer/index.html [rand]:https://docs.rs/rand/0.7/rand/index.html [log]:https://docs.rs/log/0.4/log/ [env_logger]:https://docs.rs/env_logger/0.7/env_logger/ ### Part 2B In this part you should implement the log replication. You should implement the `Node::Start` method, complete the rest fields in the `append_entries` RPC and send them, and advance `commit_index` at leader. To run all the test in this lab, run `make test_2b`. You can try to pass the `test_basic_agree_2b` test first. Here are some hints on this part: - Don't forget election restriction, see section 5.4.1 in the [Raft paper][raftpaper]. - Every server commit new entries independently by write to `apply_ch` in the correct order. `apply_ch` is a `UnboundedSender` which will buffering the messages until out of memory, so it is not that easy to create deadlocks as the original go version. - Give yourself enough time to rewrite your implementation because only after writing a first implementation will you realize how to organize your code cleanly. - The `test_count_2b` requires your number of RPCs to be not too much when there is no failure. So you should optimize the number of RPCs to the minimum. - You may need to write code that waits for certain events to occur. In that case you can just use channels and wait on it. ### Part 2C In this part you should implement persistence by first adding code that saves and restores persistent state to `Persister`, like in `Raft::persist` and `Raft::restore` using `labcodec`. You also need to determine what and when to persist, and call `Raft::restore` in `Raft::new`. To run all the test in this lab, run `make test_2c`. You can try to pass the `test_persist1_2c` test first. Here are some hints on this part: - The usage of `labcodec` is covered in the hints of part 2A. - This part also introduce various challenging test that involving servers failing and the network losing RPC requests or replies. Check your implementation carefully to find bugs that only present in this situation. - In order to pass some of the challenging tests towards the end, such as those marked "unreliable", you will need to implement the optimization to allow a follower to back up the leader's nextIndex by more than one entry at a time. See the description in the [Raft paper][raftpaper] starting at the bottom of page 7 and top of page 8 (marked by a gray line). However, the paper do not have many details on this. You will need to fill in the gaps, perhaps with the help of [this 6.824 Raft lectures][optimize-hint]. [optimize-hint]:http://nil.csail.mit.edu/6.824/2018/notes/l-raft2.txt ## The lab3: KvRaft In this lab you will build a fault-tolerant key-value storage service using the Raft module in lab 2. This lab has 2 parts named with 3A and 3B. To run all the test in this lab, run `make test_3`. Please run the tests multiple times to mak sure your are not passing the tests just by luck. To run just a single test, run `make cargo_test_`. ### The code structure All your codes in this lab should be in the `src/proto/mod.rs`, `src/proto/kvraft.proto`, `src/kvraft/server.rs` and `src/kvraft/client.rs`. The file name explains what they are. Also, you need to modify the files you touched in lab2:raft. ### Part 3A In this part you should first implement a solution that works when there are no dropped messages, and no failed servers. Your service must ensure that `get(...)` and `put_append(...)` are [linearizable][linearizable]. [linearizable]:https://en.wikipedia.org/wiki/Linearizability That means, completed application calls to the methods on the `Clerk` struct in `src/kvraft/client.rs` must appear to all clients to have affected the service in the same linear order, even in there are failures and leader changes. A `Clerk::Get` that starts after a completed `Clerk::Put` or `Clerk::Append` should see the value written by the most recent `Clerk::Put` or `Clerk::Append` in the linear order. Completed calls should have exactly-once semantics. A reasonable plan of implementation should be: - Client send RPC request in the `src/kvraft/client.rs` - Enter the operation from client into the Raft log by `raft::Node::start` in the RPC handler of `KvServer` - Execute the operation when the raft log committed, and then reply to RPC After implement that you should pass the basic one client test, run `make cargo_test_basic_3a` to check it. Here are some hints on this part: - You should receive commit message from Raft by `apply_ch` at the same time you receives RPC. - If a leader has called `Raft::start` for a Clerk's RPC, but loses its leadership before the request is committed to the log, you should make the client to re-send the RPC request to other servers until it finds the new leader. You can detect this by check things received from `apply_ch`. - The `Clerk` client should remember who is the last leader, and try the last leader first. This will avoid wasting time searching for the leader on every RPC. - The server should not complete a `get` RPC if it is not part of a majority and do not has up-to-date data. You can just put the get operation into the log, or implement the optimization for read-only operations that is described in Section 8 in the [Raft paper][raftpaper]. - Think how to use lock at the beginning. Then, you should deal with duplicate client requests, including situations where the client sends a request to a server leader in one term, times out waiting for a reply, and re-sends the request to a new leader in another term. The request should always execute just once. After this you should pass all tests in this part. To run all the test in this lab, run `make test_3a`. Here are some hints on this part: - You will need to uniquely identify client operations to ensure that the key/ value service executes each one just once. - Your scheme for duplicate detection should free server memory quickly, like using a hashtable for and only for uncommitted logs. ### Part 3B In your current implementation, a rebooting server replays the complete Raft log in order to restore its state. However, it's not practical for a long-running server to remember the complete Raft log forever. Instead, you'll modify Raft and kvserver to cooperate to save space: from time to time kvserver will persistently store a "snapshot" of its current state, and Raft will discard log entries that precede the snapshot. When a server restarts (or falls far behind the leader and must catch up), the server first installs a snapshot and then replays log entries from after the point at which the snapshot was created. Section 7 of the [Raft paper][raftpaper] outlines the scheme; you will have to design the details. The tester passes a `maxraftstate` to the `KvServer::new` indicating the maximum allowed size of your persistent Raft state in bytes (including the log, but not including snapshots). You should check the size of Raft state and when Raft state size is approaching this threshold, it should save a snapshot, and tell the Raft library that it has snapshotted, so that Raft can discard old log entries. The `maxraftstate` is a `Option` and you do not have to snapshot when it is `None`. First you should modify the Raft implement to accept a compaction request and discard entries before the given index, and continue operating while storing only log entries after that index. The tests from lab2:raft should still pass. Then you should modify the kvserver so that it can hands snapshots to Raft and request compaction when Raft state grows too large. The snapshots should be saved in `raft::Persister` Here are some hints on this part: - You are allowed to add methods to your Raft so that kvserver can manage the process of trimming the Raft log and manage kvserver snapshots. - You can test your Raft and kvserver's ability to operate with a trimmed log, and its ability to re-start from the combination of a kvserver snapshot and persisted Raft state, by running the Lab 3A tests while overriding `maxraftstate` to `Some(1)`. - Think about what should be in the snapshot. You should save new snapshot and restore latest snapshot with `raft::Persister`. - Uncommitted logs can also in snapshots, so your kvserver must still be able to detect duplicated operations under this situation. After that, you should define the `install_snapshot` RPC and the leader should send this RPC when the leader has discarded the log entries the follower needs. When a follower receives an `install_snapshot` RPC, it should send the snapshot to kvserver (maybe in `apply_ch`). After this you should pass all tests in this part. To run all the test in this lab, run `make test_3b`. Here are some hints on this part: - You do not need to send the snapshots in multiple RPCs. Just send the entire snapshot in a single `install_snapshot` RPC and that should be enough for this lab. - You can try `test_snapshot_rpc_3b` first [raftpaper]:https://raft.github.io/raft.pdf ================================================ FILE: courses/dss/raft/build.rs ================================================ fn main() { let includes = &[std::path::PathBuf::from("src/proto")]; let mut protos = Vec::new(); for include in includes { for file in std::fs::read_dir(include).unwrap() { let file = file.unwrap(); if file.file_type().unwrap().is_dir() { continue; } let path = file.path(); if path.extension().unwrap() == "proto" { protos.push(path); } } } prost_build::compile_protos(&protos, includes).unwrap(); for p in protos { println!("cargo:rerun-if-changed={}", p.display()); } } ================================================ FILE: courses/dss/raft/src/kvraft/client.rs ================================================ use std::fmt; use crate::proto::kvraftpb::*; enum Op { Put(String, String), Append(String, String), } pub struct Clerk { pub name: String, pub servers: Vec, // You will have to modify this struct. } impl fmt::Debug for Clerk { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { f.debug_struct("Clerk").field("name", &self.name).finish() } } impl Clerk { pub fn new(name: String, servers: Vec) -> Clerk { // You'll have to add code here. // Clerk { name, servers } crate::your_code_here((name, servers)) } /// fetch the current value for a key. /// returns "" if the key does not exist. /// keeps trying forever in the face of all other errors. // // you can send an RPC with code like this: // if let Some(reply) = self.servers[i].get(args).wait() { /* do something */ } pub fn get(&self, key: String) -> String { // You will have to modify this function. crate::your_code_here(key) } /// shared by Put and Append. // // you can send an RPC with code like this: // let reply = self.servers[i].put_append(args).unwrap(); fn put_append(&self, op: Op) { // You will have to modify this function. crate::your_code_here(op) } pub fn put(&self, key: String, value: String) { self.put_append(Op::Put(key, value)) } pub fn append(&self, key: String, value: String) { self.put_append(Op::Append(key, value)) } } ================================================ FILE: courses/dss/raft/src/kvraft/config.rs ================================================ use std::collections::HashMap; use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::{Arc, Mutex}; use std::time::{Duration, Instant}; use rand::seq::SliceRandom; use crate::kvraft::errors::{Error, Result}; use crate::kvraft::{client, server}; use crate::proto::kvraftpb::*; use crate::proto::raftpb::*; use crate::raft; use crate::raft::persister::*; static ID: AtomicUsize = AtomicUsize::new(300_000); fn uniqstring() -> String { format!("{}", ID.fetch_add(1, Ordering::Relaxed)) } struct Servers { kvservers: Vec>, saved: Vec>, endnames: Vec>, } fn init_logger() { use std::sync::Once; static LOGGER_INIT: Once = Once::new(); LOGGER_INIT.call_once(env_logger::init); } pub struct Config { pub net: labrpc::Network, pub n: usize, servers: Mutex, clerks: Mutex>>, next_client_id: AtomicUsize, maxraftstate: Option, // time at which the Config was created. start: Instant, // begin()/end() statistics // time at which test_test.go called cfg.begin() t0: Mutex, // rpc_total() at start of test rpcs0: AtomicUsize, // number of agreements ops: AtomicUsize, } impl Config { pub fn new(n: usize, unreliable: bool, maxraftstate: Option) -> Config { init_logger(); let servers = Servers { kvservers: vec![None; n], saved: (0..n).map(|_| Arc::new(SimplePersister::new())).collect(), endnames: vec![vec![String::new(); n]; n], }; let cfg = Config { n, net: labrpc::Network::new(), servers: Mutex::new(servers), clerks: Mutex::new(HashMap::new()), // client ids start 1000 above the highest serverid, next_client_id: AtomicUsize::new(n + 1000), maxraftstate, start: Instant::now(), t0: Mutex::new(Instant::now()), rpcs0: AtomicUsize::new(0), ops: AtomicUsize::new(0), }; // create a full set of KV servers. for i in 0..cfg.n { cfg.start_server(i); } cfg.connect_all(); cfg.net.set_reliable(!unreliable); cfg } pub fn op(&self) { self.ops.fetch_add(1, Ordering::Relaxed); } fn rpc_total(&self) -> usize { self.net.total_count() } pub fn check_timeout(&self) { // enforce a two minute real-time limit on each test if self.start.elapsed() > Duration::from_secs(120) { panic!("test took longer than 120 seconds"); } } /// Maximum log size across all servers pub fn log_size(&self) -> usize { let servers = self.servers.lock().unwrap(); let mut logsize = 0; for save in &servers.saved { let n = save.raft_state().len(); if n > logsize { logsize = n; } } logsize } /// Maximum snapshot size across all servers pub fn snapshot_size(&self) -> usize { let mut snapshotsize = 0; let servers = self.servers.lock().unwrap(); for save in &servers.saved { let n = save.snapshot().len(); if n > snapshotsize { snapshotsize = n; } } snapshotsize } /// Attach server i to servers listed in to fn connect(&self, i: usize, to: &[usize], servers: &Servers) { debug!("connect peer {} to {:?}", i, to); // outgoing socket files for j in to { let endname = &servers.endnames[i][*j]; self.net.enable(endname, true); } // incoming socket files for j in to { let endname = &servers.endnames[*j][i]; self.net.enable(endname, true); } } /// Detach server i from the servers listed in from fn disconnect(&self, i: usize, from: &[usize], servers: &Servers) { debug!("disconnect peer {} from {:?}", i, from); // outgoing socket files for j in from { if !servers.endnames[i].is_empty() { let endname = &servers.endnames[i][*j]; self.net.enable(endname, false); } } // incoming socket files for j in from { if !servers.endnames[*j].is_empty() { let endname = &servers.endnames[*j][i]; self.net.enable(endname, false); } } } pub fn all(&self) -> Vec { (0..self.n).collect() } pub fn connect_all(&self) { let servers = self.servers.lock().unwrap(); for i in 0..self.n { self.connect(i, &self.all(), &*servers); } } /// Sets up 2 partitions with connectivity between servers in each partition. pub fn partition(&self, p1: &[usize], p2: &[usize]) { debug!("partition servers into: {:?} {:?}", p1, p2); let servers = self.servers.lock().unwrap(); for i in p1 { self.disconnect(*i, p2, &*servers); self.connect(*i, p1, &*servers); } for i in p2 { self.disconnect(*i, p1, &*servers); self.connect(*i, p2, &*servers); } } // Create a clerk with clerk specific server names. // Give it connections to all of the servers, but for // now enable only connections to servers in to[]. pub fn make_client(&self, to: &[usize]) -> client::Clerk { // a fresh set of ClientEnds. let mut ends = Vec::with_capacity(self.n); let mut endnames = Vec::with_capacity(self.n); for j in 0..self.n { let name = uniqstring(); endnames.push(name.clone()); let cli = self.net.create_client(name.clone()); ends.push(KvClient::new(cli)); self.net.connect(&name, &format!("{}", j)); } ends.shuffle(&mut rand::thread_rng()); let ck_name = uniqstring(); let ck = client::Clerk::new(ck_name.clone(), ends); self.clerks.lock().unwrap().insert(ck_name, endnames); self.next_client_id.fetch_add(1, Ordering::Relaxed); self.connect_client(&ck, to); ck } pub fn delete_client(&self, ck: &client::Clerk) { self.clerks.lock().unwrap().remove(&ck.name); } pub fn connect_client(&self, ck: &client::Clerk, to: &[usize]) { self.connect_client_by_name(&ck.name, to); } pub fn connect_client_by_name(&self, ck_name: &str, to: &[usize]) { debug!("connect_client {:?} to {:?}", ck_name, to); let clerks = self.clerks.lock().unwrap(); let endnames = &clerks[ck_name]; for j in to { let s = &endnames[*j]; self.net.enable(s, true); } } /// Shutdown a server by isolating it pub fn shutdown_server(&self, i: usize) { let mut servers = self.servers.lock().unwrap(); self.disconnect(i, &self.all(), &*servers); // disable client connections to the server. // it's important to do this before creating // the new Persister in saved[i], to avoid // the possibility of the server returning a // positive reply to an Append but persisting // the result in the superseded Persister. self.net.delete_server(&format!("{}", i)); // a fresh persister, in case old instance // continues to update the Persister. // but copy old persister's content so that we always // pass Make() the last persisted state. let p = raft::persister::SimplePersister::new(); p.save_state_and_snapshot(servers.saved[i].raft_state(), servers.saved[i].snapshot()); servers.saved[i] = Arc::new(p); if let Some(kv) = servers.kvservers[i].take() { kv.kill(); } } /// Start a server i. /// If restart servers, first call shutdown_server pub fn start_server(&self, i: usize) { // a fresh set of outgoing ClientEnd names. let mut servers = self.servers.lock().unwrap(); servers.endnames[i] = (0..self.n).map(|_| uniqstring()).collect(); // a fresh set of ClientEnds. let mut ends = Vec::with_capacity(self.n); for (j, name) in servers.endnames[i].iter().enumerate() { let cli = self.net.create_client(name.clone()); ends.push(RaftClient::new(cli)); self.net.connect(name, &format!("{}", j)); } // a fresh persister, so old instance doesn't overwrite // new instance's persisted state. // give the fresh persister a copy of the old persister's // state, so that the spec is that we pass StartKVServer() // the last persisted state. let sp = raft::persister::SimplePersister::new(); sp.save_state_and_snapshot(servers.saved[i].raft_state(), servers.saved[i].snapshot()); let p = Arc::new(sp); servers.saved[i] = p.clone(); let kv = server::KvServer::new(ends, i, Box::new(p), self.maxraftstate); let rf_node = kv.rf.clone(); let kv_node = server::Node::new(kv); servers.kvservers[i] = Some(kv_node.clone()); let mut builder = labrpc::ServerBuilder::new(format!("{}", i)); add_raft_service(rf_node, &mut builder).unwrap(); add_kv_service(kv_node, &mut builder).unwrap(); let srv = builder.build(); self.net.add_server(srv); } pub fn leader(&self) -> Result { let servers = self.servers.lock().unwrap(); for (i, kv) in servers.kvservers.iter().enumerate() { if let Some(kv) = kv { if kv.is_leader() { return Ok(i); } } } Err(Error::NoLeader) } /// Partition servers into 2 groups and put current leader in minority pub fn make_partition(&self) -> (Vec, Vec) { let l = self.leader().unwrap_or(0); let mut p1 = Vec::with_capacity(self.n / 2 + 1); let mut p2 = Vec::with_capacity(self.n / 2); for i in 0..self.n { if i != l { if p1.len() < self.n / 2 + 1 { p1.push(i); } else { p2.push(i); } } } p2.push(l); (p1, p2) } /// Start a Test. /// print the Test message. /// e.g. cfg.begin("Test (2B): RPC counts aren't too high") pub fn begin(&self, description: &str) { println!(); // Force the log starts at a new line. info!("{} ...", description); *self.t0.lock().unwrap() = Instant::now(); self.rpcs0.store(self.rpc_total(), Ordering::Relaxed); self.ops.store(0, Ordering::Relaxed); } /// End a Test -- the fact that we got here means there /// was no failure. /// print the Passed message, /// and some performance numbers. pub fn end(&self) { self.check_timeout(); // real time let t = self.t0.lock().unwrap().elapsed(); // number of Raft peers let npeers = self.n; // number of RPC sends let nrpc = self.rpc_total() - self.rpcs0.load(Ordering::Relaxed); // number of clerk get/put/append calls let nops = self.ops.load(Ordering::Relaxed); info!(" ... Passed --"); info!(" {:?} {} {} {}", t, npeers, nrpc, nops); } } impl Drop for Config { fn drop(&mut self) { let servers = self.servers.lock().unwrap(); for s in servers.kvservers.iter().flatten() { s.kill(); } } } ================================================ FILE: courses/dss/raft/src/kvraft/errors.rs ================================================ use std::{error, fmt, result}; #[derive(Clone, Debug, PartialEq, Eq)] pub enum Error { NoLeader, } impl fmt::Display for Error { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { write!(f, "{:?}", self) } } impl error::Error for Error { fn source(&self) -> Option<&(dyn error::Error + 'static)> { match *self { Error::NoLeader => None, } } } pub type Result = result::Result; ================================================ FILE: courses/dss/raft/src/kvraft/mod.rs ================================================ pub mod client; #[cfg(test)] pub mod config; pub mod errors; pub mod server; #[cfg(test)] mod tests; ================================================ FILE: courses/dss/raft/src/kvraft/server.rs ================================================ use futures::channel::mpsc::unbounded; use crate::proto::kvraftpb::*; use crate::raft; pub struct KvServer { pub rf: raft::Node, me: usize, // snapshot if log grows this big maxraftstate: Option, // Your definitions here. } impl KvServer { pub fn new( servers: Vec, me: usize, persister: Box, maxraftstate: Option, ) -> KvServer { // You may need initialization code here. let (tx, apply_ch) = unbounded(); let rf = raft::Raft::new(servers, me, persister, tx); crate::your_code_here((rf, maxraftstate, apply_ch)) } } impl KvServer { /// Only for suppressing deadcode warnings. #[doc(hidden)] pub fn __suppress_deadcode(&mut self) { let _ = &self.me; let _ = &self.maxraftstate; } } // Choose concurrency paradigm. // // You can either drive the kv server by the rpc framework, // // ```rust // struct Node { server: Arc> } // ``` // // or spawn a new thread runs the kv server and communicate via // a channel. // // ```rust // struct Node { sender: Sender } // ``` #[derive(Clone)] pub struct Node { // Your definitions here. } impl Node { pub fn new(kv: KvServer) -> Node { // Your code here. crate::your_code_here(kv); } /// the tester calls kill() when a KVServer instance won't /// be needed again. you are not required to do anything /// in kill(), but it might be convenient to (for example) /// turn off debug output from this instance. pub fn kill(&self) { // If you want to free some resources by `raft::Node::kill` method, // you should call `raft::Node::kill` here also to prevent resource leaking. // Since the test framework will call kvraft::Node::kill only. // self.server.kill(); // Your code here, if desired. } /// The current term of this peer. pub fn term(&self) -> u64 { self.get_state().term() } /// Whether this peer believes it is the leader. pub fn is_leader(&self) -> bool { self.get_state().is_leader() } pub fn get_state(&self) -> raft::State { // Your code here. raft::State { ..Default::default() } } } #[async_trait::async_trait] impl KvService for Node { // CAVEATS: Please avoid locking or sleeping here, it may jam the network. async fn get(&self, arg: GetRequest) -> labrpc::Result { // Your code here. crate::your_code_here(arg) } // CAVEATS: Please avoid locking or sleeping here, it may jam the network. async fn put_append(&self, arg: PutAppendRequest) -> labrpc::Result { // Your code here. crate::your_code_here(arg) } } ================================================ FILE: courses/dss/raft/src/kvraft/tests.rs ================================================ use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::mpsc; use std::sync::Arc; use std::sync::Mutex; use std::task::Poll; use std::thread; use std::time::{Duration, Instant}; use futures::channel::oneshot; use futures::executor::block_on; use futures::future; use futures::{Future, FutureExt}; use futures_timer::Delay; use rand::{seq::SliceRandom, Rng}; use linearizability::check_operations_timeout; use linearizability::model::Operation; use linearizability::models::{KvInput, KvModel, KvOutput, Op}; use crate::kvraft::client::Clerk; use crate::kvraft::config::Config; /// The tester generously allows solutions to complete elections in one second /// (much more than the paper's range of timeouts). const RAFT_ELECTION_TIMEOUT: Duration = Duration::from_millis(1000); const LINEARIZABILITY_CHECK_TIMEOUT: Duration = Duration::from_millis(1000); // get/put/append that keep counts fn get(cfg: &Config, ck: &Clerk, key: &str) -> String { let v = ck.get(key.to_owned()); cfg.op(); v } fn put(cfg: &Config, ck: &Clerk, key: &str, value: &str) { ck.put(key.to_owned(), value.to_owned()); cfg.op(); } fn append(cfg: &Config, ck: &Clerk, key: &str, value: &str) { ck.append(key.to_owned(), value.to_owned()); cfg.op(); } fn check(cfg: &Config, ck: &Clerk, key: &str, value: &str) { let v = get(cfg, ck, key); if v != value { panic!("get({:?}): expected:\n{:?}\nreceived:\n{:?}", key, value, v); } } // spawn ncli clients and wait until they are all done fn spawn_clients_and_wait( cfg: Arc, ncli: usize, fact: Fact, ) -> impl Future + Send + 'static where Fact: Fn() -> Func + Send + 'static, Func: Fn(usize, &Clerk) + Send + 'static, { let mut cas = Vec::with_capacity(ncli); for cli in 0..ncli { let (tx, rx) = oneshot::channel(); cas.push(rx.map(move |_| { debug!("spawn_clients_and_wait: client {} is done", cli); })); let cfg_ = cfg.clone(); // a client runs the function func and then signals it is done let func = fact(); thread::spawn(move || { let ck = cfg_.make_client(&cfg_.all()); func(cli, &ck); cfg_.delete_client(&ck); tx.send(()) }); } debug!("spawn_clients_and_wait: waiting for clients"); future::join_all(cas).map(|_| ()) } // predict effect of append(k, val) if old value is prev. fn next_value(prev: String, val: &str) -> String { prev + val } // check that for a specific client all known appends are present in a value, // and in order fn check_clnt_appends(clnt: usize, v: String, count: usize) { let mut lastoff = None; for j in 0..count { let wanted = format!("x {} {} y", clnt, j); if let Some(off) = v.find(&wanted) { let off1 = v.rfind(&wanted).unwrap(); assert_eq!(off1, off, "duplicate element {:?} in Append result", wanted); if let Some(lastoff) = lastoff { assert!( off > lastoff, "wrong order for element {:?} in Append result", wanted ); } lastoff = Some(off); } else { panic!( "{:?} missing element {:?} in Append result {:?}", clnt, wanted, v ) } } } // check that all known appends are present in a value, // and are in order for each concurrent client. #[allow(clippy::needless_range_loop)] fn check_concurrent_appends(v: String, counts: &[usize]) { let nclients = counts.len(); for i in 0..nclients { let mut lastoff = None; for j in 0..counts[i] { let wanted = format!("x {} {} y", i, j); if let Some(off) = v.find(&wanted) { let off1 = v.rfind(&wanted).unwrap(); assert_eq!(off1, off, "duplicate element {:?} in Append result", wanted); if let Some(lastoff) = lastoff { assert!( off > lastoff, "wrong order for element {:?} in Append result", wanted ); } lastoff = Some(off); } else { panic!( "{:?} missing element {:?} in Append result {:?}", i, wanted, v ) } } } } // repartition the servers periodically fn partitioner( cfg: Arc, ch: mpsc::Sender, done: Arc, ) -> impl Future + Send + 'static { fn delay(r: u64) -> Delay { Delay::new(RAFT_ELECTION_TIMEOUT + Duration::from_millis(r % 200)) } // Context of the poll_fn. let mut all = cfg.all(); let mut sleep = None; let mut is_parked = false; future::poll_fn(move |cx| { let mut rng = rand::thread_rng(); while done.load(Ordering::Relaxed) == 0 { if !is_parked { all.shuffle(&mut rng); let offset = rng.gen_range(0, cfg.n); cfg.partition(&all[..offset], &all[offset..]); sleep = Some(delay(rng.gen::())); } is_parked = true; let sleep = sleep.as_mut().unwrap(); futures::pin_mut!(sleep); futures::ready!(sleep.poll(cx)); is_parked = false; } ch.send(true).unwrap(); Poll::Ready(()) }) } // Basic test is as follows: one or more clients submitting Append/Get // operations to set of servers for some period of time. After the period is // over, test checks that all appended values are present and in order for a // particular key. If unreliable is set, RPCs may fail. If crash is set, the // servers crash after the period is over and restart. If partitions is set, // the test repartitions the network concurrently with the clients and servers. If // maxraftstate is a positive number, the size of the state for Raft (i.e., log // size) shouldn't exceed 2*maxraftstate. fn generic_test( part: &str, nclients: usize, unreliable: bool, crash: bool, partitions: bool, maxraftstate: Option, ) { let mut title = "Test: ".to_owned(); if unreliable { // the network drops RPC requests and replies. title += "unreliable net, "; } if crash { // peers re-start, and thus persistence must work. title += "restarts, "; } if partitions { // the network may partition title += "partitions, "; } if maxraftstate.is_some() { title += "snapshots, "; } if nclients > 1 { title += "many clients"; } else { title += "one client"; } title = format!("{} ({})", title, part); // 3A or 3B const NSERVERS: usize = 5; let cfg = Arc::new(Config::new(NSERVERS, unreliable, maxraftstate)); cfg.begin(&title); let ck = cfg.make_client(&cfg.all()); let done_partitioner = Arc::new(AtomicUsize::new(0)); let done_clients = Arc::new(AtomicUsize::new(0)); let mut clnt_txs = vec![]; let mut clnt_rxs = vec![]; for _ in 0..nclients { let (tx, rx) = mpsc::channel(); clnt_txs.push(tx); clnt_rxs.push(rx); } for i in 0..3 { let (partitioner_tx, partitioner_rx) = mpsc::channel(); debug!("Iteration {}", i); done_clients.store(0, Ordering::Relaxed); done_partitioner.store(0, Ordering::Relaxed); let clnt_txs_ = clnt_txs.clone(); let cfg_ = cfg.clone(); let done_clients_ = done_clients.clone(); thread::spawn(move || { block_on(async { spawn_clients_and_wait(cfg_.clone(), nclients, move || { let cfg1 = cfg_.clone(); let clnt_txs1 = clnt_txs_.clone(); let done_clients1 = done_clients_.clone(); move |cli, myck| { // TODO: change the closure to a future. let mut j = 0; let mut rng = rand::thread_rng(); let mut last = String::new(); let key = format!("{}", cli); put(&cfg1, myck, &key, &last); while done_clients1.load(Ordering::Relaxed) == 0 { if (rng.gen::() % 1000) < 500 { let nv = format!("x {} {} y", cli, j); debug!("{}: client new append {}", cli, nv); last = next_value(last, &nv); append(&cfg1, myck, &key, &nv); j += 1; } else { debug!("{}: client new get {:?}", cli, key); let v = get(&cfg1, myck, &key); if v != last { panic!( "get wrong value, key {:?}, wanted:\n{:?}\n, got\n{:?}", key, last, v ); } } } clnt_txs1[cli].send(j).unwrap(); } }) .await }) }); if partitions { // Allow the clients to perform some operations without interruption thread::sleep(Duration::from_secs(1)); cfg.net.spawn_poller(partitioner( cfg.clone(), partitioner_tx, done_partitioner.clone(), )); } thread::sleep(Duration::from_secs(5)); // tell clients to quit done_clients.store(1, Ordering::Relaxed); // tell partitioner to quit done_partitioner.store(1, Ordering::Relaxed); if partitions { debug!("wait for partitioner"); partitioner_rx.recv().unwrap(); // reconnect network and submit a request. A client may // have submitted a request in a minority. That request // won't return until that server discovers a new term // has started. cfg.connect_all(); // wait for a while so that we have a new term thread::sleep(RAFT_ELECTION_TIMEOUT); } if crash { debug!("shutdown servers"); for i in 0..NSERVERS { cfg.shutdown_server(i) } // Wait for a while for servers to shutdown, since // shutdown isn't a real crash and isn't instantaneous thread::sleep(RAFT_ELECTION_TIMEOUT); debug!("restart servers"); // crash and re-start all for i in 0..NSERVERS { cfg.start_server(i); } cfg.connect_all(); } debug!("wait for clients"); for (i, clnt_rx) in clnt_rxs.iter().enumerate() { debug!("read from clients {}", i); let j = clnt_rx.recv().unwrap(); if j < 10 { debug!( "Warning: client {} managed to perform only {} put operations in 1 sec?", i, j ); } let key = format!("{}", i); debug!("Check {:?} for client {}", j, i); let v = get(&cfg, &ck, &key); check_clnt_appends(i, v, j); } if let Some(maxraftstate) = maxraftstate { // Check maximum after the servers have processed all client // requests and had time to checkpoint. if cfg.log_size() > 2 * maxraftstate { panic!( "logs were not trimmed ({} > 2*{})", cfg.log_size(), maxraftstate ) } } } cfg.check_timeout(); cfg.end(); } fn generic_test_linearizability( part: &str, nclients: usize, nservers: usize, unreliable: bool, crash: bool, partitions: bool, maxraftstate: Option, ) { let mut title = "Test: ".to_owned(); if unreliable { // the network drops RPC requests and replies. title += "unreliable net, "; } if crash { // peers re-start, and thus persistence must work. title += "restarts, "; } if partitions { // the network may partition title += "partitions, "; } if maxraftstate.is_some() { title += "snapshots, "; } if nclients > 1 { title += "many clients"; } else { title += "one client"; } title = format!("{}, linearizability checks ({})", title, part); // 3A or 3B let cfg = Arc::new(Config::new(nservers, unreliable, maxraftstate)); cfg.begin(&title); let begin = Instant::now(); let operations = Arc::new(Mutex::new(vec![])); let done_partitioner = Arc::new(AtomicUsize::new(0)); let done_clients = Arc::new(AtomicUsize::new(0)); let mut clnt_txs = vec![]; let mut clnt_rxs = vec![]; for _ in 0..nclients { let (tx, rx) = mpsc::channel(); clnt_txs.push(tx); clnt_rxs.push(rx); } for i in 0..3 { let (partitioner_tx, partitioner_rx) = mpsc::channel(); debug!("Iteration {}", i); done_clients.store(0, Ordering::Relaxed); done_partitioner.store(0, Ordering::Relaxed); let clnt_txs_ = clnt_txs.clone(); let cfg_ = cfg.clone(); let done_clients_ = done_clients.clone(); let operations_ = operations.clone(); cfg.net .spawn_poller(spawn_clients_and_wait(cfg.clone(), nclients, move || { let cfg1 = cfg_.clone(); let clnt_txs1 = clnt_txs_.clone(); let done_clients1 = done_clients_.clone(); let operations1 = operations_.clone(); move |cli, myck| { // TODO: change the closure to a future. let mut j = 0; let mut rng = rand::thread_rng(); while done_clients1.load(Ordering::Relaxed) == 0 { let key = format!("{}", rng.gen::() % nclients); let nv = format!("x {} {} y", cli, j); let start = begin.elapsed().as_nanos() as i64; let (inp, out) = if rng.gen::() % 1000 < 500 { append(&cfg1, myck, &key, &nv); j += 1; ( KvInput { op: Op::Append, key, value: nv, }, KvOutput { value: "".to_string(), }, ) } else if rng.gen::() % 1000 < 100 { put(&cfg1, myck, &key, &nv); j += 1; ( KvInput { op: Op::Put, key, value: nv, }, KvOutput { value: "".to_string(), }, ) } else { let v = get(&cfg1, myck, &key); ( KvInput { op: Op::Get, key, value: "".to_string(), }, KvOutput { value: v }, ) }; let end = begin.elapsed().as_nanos() as i64; let op = Operation { input: inp, call: start, output: out, finish: end, }; let mut data = operations1.lock().unwrap(); data.push(op); } clnt_txs1[cli].send(j).unwrap(); } })); if partitions { // Allow the clients to perform some operations without interruption thread::sleep(Duration::from_secs(1)); cfg.net.spawn_poller(partitioner( cfg.clone(), partitioner_tx, done_partitioner.clone(), )); } thread::sleep(Duration::from_secs(5)); // tell clients to quit done_clients.store(1, Ordering::Relaxed); // tell partitioner to quit done_partitioner.store(1, Ordering::Relaxed); if partitions { debug!("wait for partitioner"); partitioner_rx.recv().unwrap(); // reconnect network and submit a request. A client may // have submitted a request in a minority. That request // won't return until that server discovers a new term // has started. cfg.connect_all(); // wait for a while so that we have a new term thread::sleep(RAFT_ELECTION_TIMEOUT); } if crash { debug!("shutdown servers"); for i in 0..nservers { cfg.shutdown_server(i) } // Wait for a while for servers to shutdown, since // shutdown isn't a real crash and isn't instantaneous thread::sleep(RAFT_ELECTION_TIMEOUT); debug!("restart servers"); // crash and re-start all for i in 0..nservers { cfg.start_server(i); } cfg.connect_all(); } // wait for clients. for clnt_rx in &clnt_rxs { clnt_rx.recv().unwrap(); } if let Some(maxraftstate) = maxraftstate { // Check maximum after the servers have processed all client // requests and had time to checkpoint. if cfg.log_size() > 2 * maxraftstate { panic!( "logs were not trimmed ({} > 2*{})", cfg.log_size(), maxraftstate ) } } } cfg.check_timeout(); cfg.end(); if !check_operations_timeout( KvModel {}, Arc::try_unwrap(operations).unwrap().into_inner().unwrap(), LINEARIZABILITY_CHECK_TIMEOUT, ) { panic!("history is not linearizable"); } } #[test] fn test_basic_3a() { // Test: one client (3A) ... generic_test("3A", 1, false, false, false, None) } #[test] fn test_concurrent_3a() { // Test: many clients (3A) ... generic_test("3A", 5, false, false, false, None) } #[test] fn test_unreliable_3a() { // Test: unreliable net, many clients (3A) ... generic_test("3A", 5, true, false, false, None) } #[test] fn test_unreliable_one_key_3a() { let nservers = 3; let cfg = { let cfg = Config::new(nservers, true, None); cfg.begin("Test: concurrent append to same key, unreliable (3A)"); Arc::new(cfg) }; let all = cfg.all(); let ck = cfg.make_client(&all); put(&cfg, &ck, "k", ""); let cfg_ = cfg.clone(); let nclient = 5; let upto = 10; block_on(async { spawn_clients_and_wait(cfg.clone(), nclient, move || { let cfg1 = cfg_.clone(); move |me, myck| { for n in 0..upto { append(&cfg1, myck, "k", &format!("x {} {} y", me, n)); } } }) .await }); let counts = vec![upto; nclient]; let vx = get(&cfg, &ck, "k"); check_concurrent_appends(vx, &counts); cfg.check_timeout(); cfg.end(); } // Submit a request in the minority partition and check that the requests // doesn't go through until the partition heals. The leader in the original // network ends up in the minority partition. #[test] fn test_one_partition_3a() { let nservers = 5; let cfg = Config::new(nservers, false, None); let all = cfg.all(); let ck = cfg.make_client(&all); put(&cfg, &ck, "1", "13"); cfg.begin("Test: progress in majority (3A)"); let (p1, p2) = cfg.make_partition(); cfg.partition(&p1, &p2); // connect ckp1 to p1 let ckp1 = cfg.make_client(&p1); // connect ckp2a to p2 let ckp2a = cfg.make_client(&p2); let ckp2a_name = ckp2a.name.clone(); // connect ckp2b to p2 let ckp2b = cfg.make_client(&p2); let ckp2b_name = ckp2b.name.clone(); put(&cfg, &ckp1, "1", "14"); check(&cfg, &ckp1, "1", "14"); cfg.end(); let (done0_tx, done0_rx) = oneshot::channel::<&'static str>(); let (done1_tx, done1_rx) = oneshot::channel::<&'static str>(); cfg.begin("Test: no progress in minority (3A)"); cfg.net.spawn(future::lazy(move |_| { ckp2a.put("1".to_owned(), "15".to_owned()); done0_tx .send("put") .map_err(|e| { warn!("done0 send failed: {:?}", e); }) .unwrap(); })); let done0_rx = done0_rx.map(|op| { cfg.op(); op }); cfg.net.spawn(future::lazy(move |_| { // different clerk in p2 ckp2b.get("1".to_owned()); done1_tx .send("get") .map_err(|e| { warn!("done0 send failed: {:?}", e); }) .unwrap(); })); let done1_rx = done1_rx.map(|op| { cfg.op(); op }); let timeout = Delay::new(Duration::from_secs(1)); let dones = block_on( future::select(timeout, future::select(done0_rx, done1_rx)).map(|res| match res { future::Either::Left((_, dones)) => dones, future::Either::Right((future::Either::Left((op, _)), _)) => { panic!("{} in minority completed", op.unwrap()) } future::Either::Right((future::Either::Right((op, _)), _)) => { panic!("{} in minority completed", op.unwrap()) } }), ); check(&cfg, &ckp1, "1", "14"); put(&cfg, &ckp1, "1", "16"); check(&cfg, &ckp1, "1", "16"); cfg.end(); cfg.begin("Test: completion after heal (3A)"); cfg.connect_all(); cfg.connect_client_by_name(&ckp2a_name, &all); cfg.connect_client_by_name(&ckp2b_name, &all); thread::sleep(RAFT_ELECTION_TIMEOUT); let timeout = Delay::new(Duration::from_secs(3)); let (timeout, next) = block_on(async { future::select(timeout, dones) .map(|res| match res { future::Either::Left(_) => panic!("put/get did not complete"), future::Either::Right((future::Either::Left((op, next)), timeout)) => { info!("{} completes", op.unwrap()); (timeout, future::Either::Left(next)) } future::Either::Right((future::Either::Right((op, next)), timeout)) => { info!("{} completes", op.unwrap()); (timeout, future::Either::Right(next)) } }) .await }); block_on(async { future::select(timeout, next) .map(|res| match res { future::Either::Left(_) => panic!("put/get did not complete"), future::Either::Right((op, _)) => info!("{} completes", op.unwrap()), }) .await }); check(&cfg, &ck, "1", "15"); cfg.end(); } #[test] fn test_many_partitions_one_client_3a() { // Test: partitions, one client (3A) ... generic_test("3A", 1, false, false, true, None) } #[test] fn test_many_partitions_many_clients_3a() { // Test: partitions, many clients (3A) ... generic_test("3A", 5, false, false, true, None) } #[test] fn test_persist_one_client_3a() { // Test: restarts, one client (3A) ... generic_test("3A", 1, false, true, false, None) } #[test] fn test_persist_concurrent_3a() { // Test: restarts, many clients (3A) ... generic_test("3A", 5, false, true, false, None) } #[test] fn test_persist_concurrent_unreliable_3a() { // Test: unreliable net, restarts, many clients (3A) ... generic_test("3A", 5, true, true, false, None) } #[test] fn test_persist_partition_3a() { // Test: restarts, partitions, many clients (3A) ... generic_test("3A", 5, false, true, true, None) } #[test] fn test_persist_partition_unreliable_3a() { // Test: unreliable net, restarts, partitions, many clients (3A) ... generic_test("3A", 5, true, true, true, None) } #[test] fn test_persist_partition_unreliable_linearizable_3a() { // Test: unreliable net, restarts, partitions, linearizability checks (3A) ... generic_test_linearizability("3A", 15, 7, true, true, true, None) } // if one server falls behind, then rejoins, does it // recover by using the InstallSnapshot RPC? // also checks that majority discards committed log entries // even if minority doesn't respond. #[test] fn test_snapshot_rpc_3b() { let nservers = 3; let maxraftstate = 1000; let cfg = Config::new(nservers, false, Some(maxraftstate)); let all = cfg.all(); let ck = cfg.make_client(&all); cfg.begin("Test: InstallSnapshot RPC (3B)"); put(&cfg, &ck, "a", "A"); check(&cfg, &ck, "a", "A"); // a bunch of puts into the majority partition. cfg.partition(&[0, 1], &[2]); { let ck1 = cfg.make_client(&[0, 1]); for i in 0..50 { put(&cfg, &ck1, &format!("{}", i), &format!("{}", i)); } thread::sleep(RAFT_ELECTION_TIMEOUT); put(&cfg, &ck1, "b", "B"); } // check that the majority partition has thrown away // most of its log entries. if cfg.log_size() > 2 * maxraftstate { panic!( "logs were not trimmed ({} > 2*{})", cfg.log_size(), maxraftstate ); } // now make group that requires participation of // lagging server, so that it has to catch up. cfg.partition(&[0, 2], &[1]); { let ck1 = cfg.make_client(&[0, 2]); put(&cfg, &ck1, "c", "C"); put(&cfg, &ck1, "d", "D"); check(&cfg, &ck1, "a", "A"); check(&cfg, &ck1, "b", "B"); check(&cfg, &ck1, "1", "1"); check(&cfg, &ck1, "49", "49"); } // now everybody cfg.partition(&[0, 1, 2], &[]); put(&cfg, &ck, "e", "E"); check(&cfg, &ck, "c", "C"); check(&cfg, &ck, "e", "E"); check(&cfg, &ck, "1", "1"); cfg.check_timeout(); cfg.end(); } // are the snapshots not too huge? 500 bytes is a generous bound for the // operations we're doing here. #[test] fn test_snapshot_size_3b() { let nservers = 3; let maxraftstate = 1000; let maxsnapshotstate = 500; let cfg = Config::new(nservers, false, Some(maxraftstate)); let all = cfg.all(); let ck = cfg.make_client(&all); cfg.begin("Test: snapshot size is reasonable (3B)"); for _ in 0..200 { put(&cfg, &ck, "x", "0"); check(&cfg, &ck, "x", "0"); put(&cfg, &ck, "x", "1"); check(&cfg, &ck, "x", "1"); } // check that servers have thrown away most of their log entries if cfg.log_size() > 2 * maxraftstate { panic!( "logs were not trimmed ({} > 2*{})", cfg.log_size(), maxraftstate, ) } // check that the snapshots are not unreasonably large if cfg.snapshot_size() > maxsnapshotstate { panic!( "snapshot too large ({} > {})", cfg.snapshot_size(), maxsnapshotstate, ) } cfg.check_timeout(); cfg.end(); } #[test] fn test_snapshot_recover_3b() { // Test: restarts, snapshots, one client (3B) ... generic_test("3B", 1, false, true, false, Some(1000)) } #[test] fn test_snapshot_recover_many_clients_3b() { // Test: restarts, snapshots, many clients (3B) ... generic_test("3B", 20, false, true, false, Some(1000)) } #[test] fn test_snapshot_unreliable_3b() { // Test: unreliable net, snapshots, many clients (3B) ... generic_test("3B", 5, true, false, false, Some(1000)) } #[test] fn test_snapshot_unreliable_recover_3b() { // Test: unreliable net, restarts, snapshots, many clients (3B) ... generic_test("3B", 5, true, true, false, Some(1000)) } #[test] fn test_snapshot_unreliable_recover_concurrent_partition_3b() { // Test: unreliable net, restarts, partitions, snapshots, many clients (3B) ... generic_test("3B", 5, true, true, true, Some(1000)) } #[test] fn test_snapshot_unreliable_recover_concurrent_partition_linearizable_3b() { // Test: unreliable net, restarts, partitions, snapshots, linearizability checks (3B) ... generic_test_linearizability("3B", 15, 7, true, true, true, Some(1000)) } ================================================ FILE: courses/dss/raft/src/lib.rs ================================================ #[allow(unused_imports)] #[macro_use] extern crate log; #[allow(unused_imports)] #[macro_use] extern crate prost_derive; pub mod kvraft; mod proto; pub mod raft; /// A place holder for suppressing unused_variables warning. fn your_code_here(_: T) -> ! { unimplemented!() } ================================================ FILE: courses/dss/raft/src/proto/kvraft.proto ================================================ syntax = "proto3"; package kvraftpb; enum Op { Unknown = 0; Put = 1; Append = 2; } /// Put or Append message PutAppendRequest { string key = 1; string value = 2; // "Put" or "Append" Op op = 3; // You'll have to add definitions here. } message PutAppendReply { bool wrong_leader = 1; string err = 2; } message GetRequest { string key = 1; // You'll have to add definitions here. } message GetReply { bool wrong_leader = 1; string err = 2; string value = 3; } ================================================ FILE: courses/dss/raft/src/proto/mod.rs ================================================ pub mod raftpb { include!(concat!(env!("OUT_DIR"), "/raftpb.rs")); labrpc::service! { service raft { rpc request_vote(RequestVoteArgs) returns (RequestVoteReply); // Your code here if more rpc desired. // rpc xxx(yyy) returns (zzz) } } pub use self::raft::{ add_service as add_raft_service, Client as RaftClient, Service as RaftService, }; } pub mod kvraftpb { include!(concat!(env!("OUT_DIR"), "/kvraftpb.rs")); labrpc::service! { service kv { rpc get(GetRequest) returns (GetReply); rpc put_append(PutAppendRequest) returns (PutAppendReply); // Your code here if more rpc desired. // rpc xxx(yyy) returns (zzz) } } pub use self::kv::{add_service as add_kv_service, Client as KvClient, Service as KvService}; } ================================================ FILE: courses/dss/raft/src/proto/raft.proto ================================================ syntax = "proto3"; package raftpb; // Example RequestVote RPC arguments structure. message RequestVoteArgs { // Your data here (2A, 2B). } // Example RequestVote RPC reply structure. message RequestVoteReply { // Your data here (2A). } ================================================ FILE: courses/dss/raft/src/raft/config.rs ================================================ use std::collections::HashMap; use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::{Arc, Mutex}; use std::thread; use std::time::{Duration, Instant}; use futures::channel::mpsc::unbounded; use futures::future; use futures::stream::StreamExt; use rand::Rng; use crate::proto::raftpb::*; use crate::raft; use crate::raft::persister::*; pub const SNAPSHOT_INTERVAL: u64 = 10; fn uniqstring() -> String { static ID: AtomicUsize = AtomicUsize::new(0); format!("{}", ID.fetch_add(1, Ordering::Relaxed)) } /// A log entry. #[derive(Clone, PartialEq, Message)] pub struct Entry { #[prost(uint64, tag = "100")] pub x: u64, } pub struct Storage { // copy of each server's committed entries logs: Vec>, max_index: u64, max_index0: u64, } impl Storage { /// how many servers think a log entry is committed? pub fn n_committed(&self, index: u64) -> (usize, Option) { let mut count = 0; let mut cmd = None; for log in &self.logs { let cmd1 = log.get(&index).cloned(); if cmd1.is_some() { if count > 0 && cmd != cmd1 { panic!( "committed values do not match: index {:?}, {:?}, {:?}", index, cmd, cmd1 ); } count += 1; cmd = cmd1; } } (count, cmd) } } fn init_logger() { use std::sync::Once; static LOGGER_INIT: Once = Once::new(); LOGGER_INIT.call_once(env_logger::init); } pub struct Config { pub net: labrpc::Network, n: usize, // use boxed slice to prohibit grow capacity. pub rafts: Arc]>>>, // whether each server is on the net pub connected: Box<[bool]>, saved: Box<[Arc]>, // the port file names each sends to endnames: Box<[Box<[String]>]>, pub storage: Arc>, // time at which make_config() was called start: Instant, // begin()/end() statistics // time at which test_test.go called cfg.begin() t0: Instant, // rpc_total() at start of test rpcs0: usize, // number of agreements cmds0: usize, } impl Config { pub fn new(n: usize) -> Config { Config::new_with(n, false, false) } pub fn new_with(n: usize, unreliable: bool, snapshot: bool) -> Config { init_logger(); let net = labrpc::Network::new(); net.set_reliable(!unreliable); net.set_long_delays(true); let storage = Storage { logs: vec![HashMap::new(); n], max_index: 0, max_index0: 0, }; let mut saved = vec![]; let mut endnames = vec![]; for _ in 0..n { endnames.push(vec![String::new(); n].into_boxed_slice()); saved.push(Arc::new(SimplePersister::new())); } let mut cfg = Config { net, n, rafts: Arc::new(Mutex::new(vec![None; n].into_boxed_slice())), connected: vec![true; n].into_boxed_slice(), saved: saved.into_boxed_slice(), endnames: endnames.into_boxed_slice(), storage: Arc::new(Mutex::new(storage)), start: Instant::now(), t0: Instant::now(), rpcs0: 0, cmds0: 0, }; for i in 0..n { cfg.start1_ext(i, snapshot); } for i in 0..n { cfg.connect(i); } cfg } pub fn rpc_count(&self, server: usize) -> usize { self.net.count(&format!("{}", server)) } fn rpc_total(&self) -> usize { self.net.total_count() } /// Maximum log size across all servers pub fn log_size(&self) -> usize { self.saved .iter() .map(|s| s.raft_state().len()) .max() .unwrap() } // check that there's exactly one leader. // try a few times in case re-elections are needed. pub fn check_one_leader(&self) -> usize { let mut random = rand::thread_rng(); let mut leaders = HashMap::new(); for _iters in 0..10 { let ms = 450 + (random.gen::() % 100); thread::sleep(Duration::from_millis(ms)); for (i, connected) in self.connected.iter().enumerate() { if *connected { let state = self.rafts.lock().unwrap()[i] .as_ref() .unwrap() .get_state() .clone(); let term = state.term(); let is_leader = state.is_leader(); if is_leader { leaders.entry(term).or_insert_with(Vec::new).push(i); } } } let mut last_term_with_leader = 0; for (term, leaders) in &leaders { if leaders.len() > 1 { panic!("term {} has {:?} (>1) leaders", term, leaders); } if *term > last_term_with_leader { last_term_with_leader = *term; } } if !leaders.is_empty() { return leaders[&last_term_with_leader][0]; } } panic!("expected one leader, got none") } /// check that everyone agrees on the term. pub fn check_terms(&self) -> u64 { let mut term = 0; for (i, connected) in self.connected.iter().enumerate() { if *connected { let xterm = self.rafts.lock().unwrap()[i].as_ref().unwrap().term(); if term == 0 { term = xterm; } else if term != xterm { panic!("servers disagree on term"); } } } term } /// check that there's no leader pub fn check_no_leader(&self) { for (i, connected) in self.connected.iter().enumerate() { if *connected { let is_leader = self.rafts.lock().unwrap()[i].as_ref().unwrap().is_leader(); if is_leader { panic!("expected no leader, but {} claims to be leader", i); } } } } pub fn check_timeout(&self) { // enforce a two minute real-time limit on each test if self.start.elapsed() > Duration::from_secs(120) { panic!("test took longer than 120 seconds"); } } /// how many servers think a log entry is committed? pub fn n_committed(&self, index: u64) -> (usize, Option) { let s = self.storage.lock().unwrap(); s.n_committed(index) } // wait for at least n servers to commit. // but don't wait forever. pub fn wait(&self, index: u64, n: usize, start_term: Option) -> Option { let mut to = Duration::from_millis(10); for _ in 0..30 { let (nd, _) = self.n_committed(index); if nd >= n { break; } thread::sleep(to); if to < Duration::from_secs(1) { to *= 2; } if let Some(start_term) = start_term { let rafts = self.rafts.lock().unwrap(); for r in rafts.iter().flatten() { let term = r.term(); if term > start_term { // someone has moved on // can no longer guarantee that we'll "win" return None; } } } } let (nd, cmd) = self.n_committed(index); if nd < n { panic!("only {} decided for index {}; wanted {}", nd, index, n); } cmd } /// do a complete agreement. /// it might choose the wrong leader initially, /// and have to re-submit after giving up. /// entirely gives up after about 10 seconds. /// indirectly checks that the servers agree on the /// same value, since n_committed() checks this, /// as do the threads that read from applyCh. /// returns index. /// if retry==true, may submit the command multiple /// times, in case a leader fails just after Start(). /// if retry==false, calls start() only once, in order /// to simplify the early Lab 2B tests. pub fn one(&self, cmd: Entry, expected_servers: usize, retry: bool) -> u64 { let t0 = Instant::now(); let mut starts = 0; while t0.elapsed() < Duration::from_secs(10) { // try all the servers, maybe one is the leader. let mut index = None; for _ in 0..self.n { starts = (starts + 1) % self.n; if self.connected[starts] { let rafts = self.rafts.lock().unwrap(); if let Some(ref rf) = &rafts[starts] { match rf.start(&cmd) { Ok((index1, _)) => { index = Some(index1); break; } Err(e) => debug!("start cmd {:?} failed: {:?}", cmd, e), } } } } if let Some(index) = index { // somebody claimed to be the leader and to have // submitted our command; wait a while for agreement. let t1 = Instant::now(); while t1.elapsed() < Duration::from_secs(2) { let (nd, cmd1) = self.n_committed(index); if nd > 0 && nd >= expected_servers { // committed if let Some(cmd2) = cmd1 { if cmd2 == cmd { // and it was the command we submitted. return index; } } } thread::sleep(Duration::from_millis(20)); } if !retry { panic!("one({:?}) failed to reach agreement", cmd); } } else { thread::sleep(Duration::from_millis(50)); } } panic!("one({:?}) failed to reach agreement", cmd); } /// start a Test. /// print the Test message. /// e.g. cfg.begin("Test (2B): RPC counts aren't too high") pub fn begin(&mut self, description: &str) { println!(); // Force the log starts at a new line. info!("{} ...", description); self.t0 = Instant::now(); self.rpcs0 = self.rpc_total(); self.cmds0 = 0; let mut s = self.storage.lock().unwrap(); s.max_index0 = s.max_index; } /// end a Test -- the fact that we got here means there was no failure. /// print the Passed message, and some performance numbers. pub fn end(&self) { self.check_timeout(); // real time let t = self.t0.elapsed(); // number of Raft peers let npeers = self.n; // number of RPC sends let nrpc = self.rpc_total() - self.rpcs0; // number of Raft agreements reported let s = self.storage.lock().unwrap(); let ncmds = s.max_index - s.max_index0; info!(" ... Passed --"); info!(" {:?} {} {} {}", t, npeers, nrpc, ncmds); } /// start or re-start a Raft. /// if one already exists, "kill" it first. /// allocate new outgoing port file names, and a new /// state persister, to isolate previous instance of /// this server. since we cannot really kill it. pub fn start1(&mut self, i: usize) { self.start1_ext(i, false); } pub fn start1_snapshot(&mut self, i: usize) { self.start1_ext(i, true); } fn start1_ext(&mut self, i: usize, snapshot: bool) { self.crash1(i); // a fresh set of outgoing ClientEnd names. // so that old crashed instance's ClientEnds can't send. self.endnames[i] = vec![String::new(); self.n].into_boxed_slice(); for j in 0..self.n { self.endnames[i][j] = uniqstring(); } // a fresh set of ClientEnds. let mut clients = Vec::with_capacity(self.n); for (j, name) in self.endnames[i].iter().enumerate() { let cli = self.net.create_client(name.to_string()); let client = RaftClient::new(cli); clients.push(client); self.net.connect(name, &format!("{}", j)); } let (tx, apply_ch) = unbounded(); let rf = raft::Raft::new(clients, i, Box::new(self.saved[i].clone()), tx); let node = raft::Node::new(rf); self.rafts.lock().unwrap()[i] = Some(node.clone()); // listen to messages from Raft indicating newly committed messages. let storage = self.storage.clone(); let rafts = self.rafts.clone(); let apply = apply_ch.for_each(move |cmd: raft::ApplyMsg| match cmd { raft::ApplyMsg::Command { data, index } => { // debug!("apply {}", index); let entry = labcodec::decode(&data).expect("committed command is not an entry"); let mut s = storage.lock().unwrap(); for (j, log) in s.logs.iter().enumerate() { if let Some(old) = log.get(&index) { if *old != entry { // some server has already committed a different value for this entry! panic!( "commit index={:?} server={:?} {:?} != server={:?} {:?}", index, i, entry, j, old ); } } } let log = &mut s.logs[i]; if index > 1 && log.get(&(index - 1)).is_none() { panic!("server {} apply out of order {}", i, index); } log.insert(index, entry); if index > s.max_index { s.max_index = index; } if snapshot && (index + 1) % SNAPSHOT_INTERVAL == 0 { rafts.lock().unwrap()[i] .as_ref() .unwrap() .snapshot(index, &data); } future::ready(()) } raft::ApplyMsg::Snapshot { data, index, term } if snapshot => { // debug!("install snapshot {}", index); if rafts.lock().unwrap()[i] .as_ref() .unwrap() .cond_install_snapshot(term, index, &data) { let mut s = storage.lock().unwrap(); let log = &mut s.logs[i]; log.clear(); let entry = labcodec::decode(&data).unwrap(); log.insert(index, entry); } future::ready(()) } // ignore other types of ApplyMsg _ => future::ready(()), }); self.net.spawn_poller(apply); let mut builder = labrpc::ServerBuilder::new(format!("{}", i)); raft::add_raft_service(node, &mut builder).unwrap(); let srv = builder.build(); self.net.add_server(srv); } /// shut down a Raft server but save its persistent state. pub fn crash1(&mut self, i: usize) { self.disconnect(i); // disable client connections to the server. self.net.delete_server(&format!("{}", i)); // a fresh persister, in case old instance // continues to update the Persister. // but copy old persister's content so that we always // pass Make() the last persisted state. let raft_state = self.saved[i].raft_state(); let snapshot = self.saved[i].snapshot(); let p = SimplePersister::new(); p.save_state_and_snapshot(raft_state, snapshot); self.saved[i] = Arc::new(p); if let Some(rf) = self.rafts.lock().unwrap()[i].take() { rf.kill(); } } /// detach server i from the net. pub fn disconnect(&mut self, i: usize) { debug!("disconnect({})", i); self.connected[i] = false; // outgoing ClientEnds for endname in &*self.endnames[i] { self.net.enable(endname, false); } // incoming ClientEnds for names in &*self.endnames { let endname = &names[i]; self.net.enable(endname, false); } } /// attach server i to the net. pub fn connect(&mut self, i: usize) { debug!("connect({})", i); self.connected[i] = true; // outgoing ClientEnds for (j, connected) in self.connected.iter().enumerate() { if *connected { let endname = &*self.endnames[i][j]; self.net.enable(endname, true); } } // incoming ClientEnds for (j, connected) in self.connected.iter().enumerate() { if *connected { let endname = &*self.endnames[j][i]; self.net.enable(endname, true); } } } } impl Drop for Config { fn drop(&mut self) { if let Ok(rafts) = self.rafts.try_lock() { for r in rafts.iter().flatten() { r.kill(); } } // FIXME: we should not panic in a drop method. self.check_timeout(); } } ================================================ FILE: courses/dss/raft/src/raft/errors.rs ================================================ use std::{error, fmt, result}; #[derive(Clone, Debug, PartialEq, Eq)] pub enum Error { Encode(labcodec::EncodeError), Decode(labcodec::DecodeError), Rpc(labrpc::Error), NotLeader, } impl fmt::Display for Error { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { write!(f, "{:?}", self) } } impl error::Error for Error { fn source(&self) -> Option<&(dyn error::Error + 'static)> { match *self { Error::Encode(ref e) => Some(e), Error::Decode(ref e) => Some(e), Error::Rpc(ref e) => Some(e), _ => None, } } } pub type Result = result::Result; ================================================ FILE: courses/dss/raft/src/raft/mod.rs ================================================ use std::sync::mpsc::{sync_channel, Receiver}; use std::sync::Arc; use futures::channel::mpsc::UnboundedSender; #[cfg(test)] pub mod config; pub mod errors; pub mod persister; #[cfg(test)] mod tests; use self::errors::*; use self::persister::*; use crate::proto::raftpb::*; /// As each Raft peer becomes aware that successive log entries are committed, /// the peer should send an `ApplyMsg` to the service (or tester) on the same /// server, via the `apply_ch` passed to `Raft::new`. pub enum ApplyMsg { Command { data: Vec, index: u64, }, // For 2D: Snapshot { data: Vec, term: u64, index: u64, }, } /// State of a raft peer. #[derive(Default, Clone, Debug)] pub struct State { pub term: u64, pub is_leader: bool, } impl State { /// The current term of this peer. pub fn term(&self) -> u64 { self.term } /// Whether this peer believes it is the leader. pub fn is_leader(&self) -> bool { self.is_leader } } // A single Raft peer. pub struct Raft { // RPC end points of all peers peers: Vec, // Object to hold this peer's persisted state persister: Box, // this peer's index into peers[] me: usize, state: Arc, // Your data here (2A, 2B, 2C). // Look at the paper's Figure 2 for a description of what // state a Raft server must maintain. } impl Raft { /// the service or tester wants to create a Raft server. the ports /// of all the Raft servers (including this one) are in peers. this /// server's port is peers[me]. all the servers' peers arrays /// have the same order. persister is a place for this server to /// save its persistent state, and also initially holds the most /// recent saved state, if any. apply_ch is a channel on which the /// tester or service expects Raft to send ApplyMsg messages. /// This method must return quickly. pub fn new( peers: Vec, me: usize, persister: Box, apply_ch: UnboundedSender, ) -> Raft { let raft_state = persister.raft_state(); // Your initialization code here (2A, 2B, 2C). let mut rf = Raft { peers, persister, me, state: Arc::default(), }; // initialize from state persisted before a crash rf.restore(&raft_state); crate::your_code_here((rf, apply_ch)) } /// save Raft's persistent state to stable storage, /// where it can later be retrieved after a crash and restart. /// see paper's Figure 2 for a description of what should be persistent. fn persist(&mut self) { // Your code here (2C). // Example: // labcodec::encode(&self.xxx, &mut data).unwrap(); // labcodec::encode(&self.yyy, &mut data).unwrap(); // self.persister.save_raft_state(data); } /// restore previously persisted state. fn restore(&mut self, data: &[u8]) { if data.is_empty() { // bootstrap without any state? } // Your code here (2C). // Example: // match labcodec::decode(data) { // Ok(o) => { // self.xxx = o.xxx; // self.yyy = o.yyy; // } // Err(e) => { // panic!("{:?}", e); // } // } } /// example code to send a RequestVote RPC to a server. /// server is the index of the target server in peers. /// expects RPC arguments in args. /// /// The labrpc package simulates a lossy network, in which servers /// may be unreachable, and in which requests and replies may be lost. /// This method sends a request and waits for a reply. If a reply arrives /// within a timeout interval, This method returns Ok(_); otherwise /// this method returns Err(_). Thus this method may not return for a while. /// An Err(_) return can be caused by a dead server, a live server that /// can't be reached, a lost request, or a lost reply. /// /// This method is guaranteed to return (perhaps after a delay) *except* if /// the handler function on the server side does not return. Thus there /// is no need to implement your own timeouts around this method. /// /// look at the comments in ../labrpc/src/lib.rs for more details. fn send_request_vote( &self, server: usize, args: RequestVoteArgs, ) -> Receiver> { // Your code here if you want the rpc becomes async. // Example: // ``` // let peer = &self.peers[server]; // let peer_clone = peer.clone(); // let (tx, rx) = channel(); // peer.spawn(async move { // let res = peer_clone.request_vote(&args).await.map_err(Error::Rpc); // tx.send(res); // }); // rx // ``` let (tx, rx) = sync_channel::>(1); crate::your_code_here((server, args, tx, rx)) } fn start(&self, command: &M) -> Result<(u64, u64)> where M: labcodec::Message, { let index = 0; let term = 0; let is_leader = true; let mut buf = vec![]; labcodec::encode(command, &mut buf).map_err(Error::Encode)?; // Your code here (2B). if is_leader { Ok((index, term)) } else { Err(Error::NotLeader) } } fn cond_install_snapshot( &mut self, last_included_term: u64, last_included_index: u64, snapshot: &[u8], ) -> bool { // Your code here (2D). crate::your_code_here((last_included_term, last_included_index, snapshot)); } fn snapshot(&mut self, index: u64, snapshot: &[u8]) { // Your code here (2D). crate::your_code_here((index, snapshot)); } } impl Raft { /// Only for suppressing deadcode warnings. #[doc(hidden)] pub fn __suppress_deadcode(&mut self) { let _ = self.start(&0); let _ = self.cond_install_snapshot(0, 0, &[]); self.snapshot(0, &[]); let _ = self.send_request_vote(0, Default::default()); self.persist(); let _ = &self.state; let _ = &self.me; let _ = &self.persister; let _ = &self.peers; } } // Choose concurrency paradigm. // // You can either drive the raft state machine by the rpc framework, // // ```rust // struct Node { raft: Arc> } // ``` // // or spawn a new thread runs the raft state machine and communicate via // a channel. // // ```rust // struct Node { sender: Sender } // ``` #[derive(Clone)] pub struct Node { // Your code here. } impl Node { /// Create a new raft service. pub fn new(raft: Raft) -> Node { // Your code here. crate::your_code_here(raft) } /// the service using Raft (e.g. a k/v server) wants to start /// agreement on the next command to be appended to Raft's log. if this /// server isn't the leader, returns [`Error::NotLeader`]. otherwise start /// the agreement and return immediately. there is no guarantee that this /// command will ever be committed to the Raft log, since the leader /// may fail or lose an election. even if the Raft instance has been killed, /// this function should return gracefully. /// /// the first value of the tuple is the index that the command will appear /// at if it's ever committed. the second is the current term. /// /// This method must return without blocking on the raft. pub fn start(&self, command: &M) -> Result<(u64, u64)> where M: labcodec::Message, { // Your code here. // Example: // self.raft.start(command) crate::your_code_here(command) } /// The current term of this peer. pub fn term(&self) -> u64 { // Your code here. // Example: // self.raft.term crate::your_code_here(()) } /// Whether this peer believes it is the leader. pub fn is_leader(&self) -> bool { // Your code here. // Example: // self.raft.leader_id == self.id crate::your_code_here(()) } /// The current state of this peer. pub fn get_state(&self) -> State { State { term: self.term(), is_leader: self.is_leader(), } } /// the tester calls kill() when a Raft instance won't be /// needed again. you are not required to do anything in /// kill(), but it might be convenient to (for example) /// turn off debug output from this instance. /// In Raft paper, a server crash is a PHYSICAL crash, /// A.K.A all resources are reset. But we are simulating /// a VIRTUAL crash in tester, so take care of background /// threads you generated with this Raft Node. pub fn kill(&self) { // Your code here, if desired. } /// A service wants to switch to snapshot. /// /// Only do so if Raft hasn't have more recent info since it communicate /// the snapshot on `apply_ch`. pub fn cond_install_snapshot( &self, last_included_term: u64, last_included_index: u64, snapshot: &[u8], ) -> bool { // Your code here. // Example: // self.raft.cond_install_snapshot(last_included_term, last_included_index, snapshot) crate::your_code_here((last_included_term, last_included_index, snapshot)); } /// The service says it has created a snapshot that has all info up to and /// including index. This means the service no longer needs the log through /// (and including) that index. Raft should now trim its log as much as /// possible. pub fn snapshot(&self, index: u64, snapshot: &[u8]) { // Your code here. // Example: // self.raft.snapshot(index, snapshot) crate::your_code_here((index, snapshot)); } } #[async_trait::async_trait] impl RaftService for Node { // example RequestVote RPC handler. // // CAVEATS: Please avoid locking or sleeping here, it may jam the network. async fn request_vote(&self, args: RequestVoteArgs) -> labrpc::Result { // Your code here (2A, 2B). crate::your_code_here(args) } } ================================================ FILE: courses/dss/raft/src/raft/persister.rs ================================================ //! Support for Raft and kvraft to save persistent //! Raft state (log &c) and k/v server snapshots. //! //! we will use the original persister.rs to test your code for grading. //! so, while you can modify this code to help you debug, please //! test with the original before submitting. use std::sync::{Arc, Mutex}; pub trait Persister: Send + 'static { fn raft_state(&self) -> Vec; fn save_raft_state(&self, state: Vec); fn save_state_and_snapshot(&self, state: Vec, snapshot: Vec); fn snapshot(&self) -> Vec; } impl Persister for Box { fn raft_state(&self) -> Vec { (**self).raft_state() } fn save_raft_state(&self, state: Vec) { (**self).save_raft_state(state) } fn save_state_and_snapshot(&self, state: Vec, snapshot: Vec) { (**self).save_state_and_snapshot(state, snapshot) } fn snapshot(&self) -> Vec { (**self).snapshot() } } impl Persister for Arc { fn raft_state(&self) -> Vec { (**self).raft_state() } fn save_raft_state(&self, state: Vec) { (**self).save_raft_state(state) } fn save_state_and_snapshot(&self, state: Vec, snapshot: Vec) { (**self).save_state_and_snapshot(state, snapshot) } fn snapshot(&self) -> Vec { (**self).snapshot() } } #[derive(Default)] pub struct SimplePersister { states: Mutex<( Vec, // raft state Vec, // snapshot )>, } impl SimplePersister { pub fn new() -> SimplePersister { SimplePersister { states: Mutex::default(), } } } impl Persister for SimplePersister { fn raft_state(&self) -> Vec { self.states.lock().unwrap().0.clone() } fn save_raft_state(&self, state: Vec) { self.states.lock().unwrap().0 = state; } fn save_state_and_snapshot(&self, state: Vec, snapshot: Vec) { self.states.lock().unwrap().0 = state; self.states.lock().unwrap().1 = snapshot; } fn snapshot(&self) -> Vec { self.states.lock().unwrap().1.clone() } } #[cfg(test)] mod tests { use super::*; #[test] fn test_object_safety() { let sp = SimplePersister::new(); sp.save_raft_state(vec![111]); let obj: Box = Box::new(sp); assert_eq!(obj.raft_state(), vec![111]); obj.save_state_and_snapshot(vec![222], vec![123]); assert_eq!(obj.raft_state(), vec![222]); assert_eq!(obj.snapshot(), vec![123]); let cloneable_obj: Arc = Arc::new(obj); assert_eq!(cloneable_obj.raft_state(), vec![222]); assert_eq!(cloneable_obj.snapshot(), vec![123]); let cloneable_obj_ = cloneable_obj.clone(); cloneable_obj.save_raft_state(vec![233]); assert_eq!(cloneable_obj_.raft_state(), vec![233]); assert_eq!(cloneable_obj_.snapshot(), vec![123]); let sp = SimplePersister::new(); let obj: Arc = Arc::new(sp); let _box_obj: Box = Box::new(obj); } } ================================================ FILE: courses/dss/raft/src/raft/tests.rs ================================================ #![allow(clippy::identity_op)] use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::mpsc::{channel, Sender}; use std::sync::{Arc, Mutex}; use std::thread; use std::time::Duration; use futures::channel::oneshot; use futures::executor::block_on; use futures::future; use rand::{rngs::ThreadRng, Rng}; use crate::raft::config::{Config, Entry, Storage, SNAPSHOT_INTERVAL}; use crate::raft::Node; /// The tester generously allows solutions to complete elections in one second /// (much more than the paper's range of timeouts). const RAFT_ELECTION_TIMEOUT: Duration = Duration::from_millis(1000); fn random_entry(rnd: &mut ThreadRng) -> Entry { Entry { x: rnd.gen::(), } } #[test] fn test_initial_election_2a() { let servers = 3; let mut cfg = Config::new(servers); cfg.begin("Test (2A): initial election"); // is a leader elected? cfg.check_one_leader(); // sleep a bit to avoid racing with followers learning of the // election, then check that all peers agree on the term. thread::sleep(Duration::from_millis(50)); let term1 = cfg.check_terms(); // does the leader+term stay the same if there is no network failure? thread::sleep(2 * RAFT_ELECTION_TIMEOUT); let term2 = cfg.check_terms(); if term1 != term2 { warn!("warning: term changed even though there were no failures") } // there should still be a leader. cfg.check_one_leader(); cfg.end(); } #[test] fn test_reelection_2a() { let servers = 3; let mut cfg = Config::new(servers); cfg.begin("Test (2A): election after network failure"); let leader1 = cfg.check_one_leader(); // if the leader disconnects, a new one should be elected. cfg.disconnect(leader1); cfg.check_one_leader(); // if the old leader rejoins, that shouldn't // disturb the new leader. cfg.connect(leader1); let leader2 = cfg.check_one_leader(); // if there's no quorum, no leader should // be elected. cfg.disconnect(leader2); cfg.disconnect((leader2 + 1) % servers); thread::sleep(2 * RAFT_ELECTION_TIMEOUT); cfg.check_no_leader(); // if a quorum arises, it should elect a leader. cfg.connect((leader2 + 1) % servers); cfg.check_one_leader(); // re-join of last node shouldn't prevent leader from existing. cfg.connect(leader2); cfg.check_one_leader(); cfg.end(); } #[test] fn test_many_election_2a() { let servers = 7; let iters = 10; let mut cfg = Config::new(servers); cfg.begin("Test (2A): multiple elections"); cfg.check_one_leader(); let mut random = rand::thread_rng(); for _ in 0..iters { // disconnect three nodes let i1 = random.gen::() % servers; let i2 = random.gen::() % servers; let i3 = random.gen::() % servers; cfg.disconnect(i1); cfg.disconnect(i2); cfg.disconnect(i3); // either the current leader should still be alive, // or the remaining four should elect a new one. cfg.check_one_leader(); cfg.connect(i1); cfg.connect(i2); cfg.connect(i3); } cfg.check_one_leader(); cfg.end(); } #[test] fn test_basic_agree_2b() { let servers = 5; let mut cfg = Config::new(servers); cfg.begin("Test (2B): basic agreement"); let iters = 3; for index in 1..=iters { let (nd, _) = cfg.n_committed(index); if nd > 0 { panic!("some have committed before start()"); } let xindex = cfg.one(Entry { x: index * 100 }, servers, false); if xindex != index { panic!("got index {} but expected {}", xindex, index); } } cfg.end() } #[test] fn test_fail_agree_2b() { let servers = 3; let mut cfg = Config::new(servers); cfg.begin("Test (2B): agreement despite follower disconnection"); cfg.one(Entry { x: 101 }, servers, false); // follower network disconnection let leader = cfg.check_one_leader(); cfg.disconnect((leader + 1) % servers); // agree despite one disconnected server? cfg.one(Entry { x: 102 }, servers - 1, false); cfg.one(Entry { x: 103 }, servers - 1, false); thread::sleep(RAFT_ELECTION_TIMEOUT); cfg.one(Entry { x: 104 }, servers - 1, false); cfg.one(Entry { x: 105 }, servers - 1, false); // re-connect cfg.connect((leader + 1) % servers); // agree with full set of servers? cfg.one(Entry { x: 106 }, servers, true); thread::sleep(RAFT_ELECTION_TIMEOUT); cfg.one(Entry { x: 107 }, servers, true); cfg.end(); } #[test] fn test_fail_no_agree_2b() { let servers = 5; let mut cfg = Config::new(servers); cfg.begin("Test (2B): no agreement if too many followers disconnect"); cfg.one(Entry { x: 10 }, servers, false); // 3 of 5 followers disconnect let leader = cfg.check_one_leader(); cfg.disconnect((leader + 1) % servers); cfg.disconnect((leader + 2) % servers); cfg.disconnect((leader + 3) % servers); let (index, _) = cfg.rafts.lock().unwrap()[leader] .as_ref() .unwrap() .start(&Entry { x: 20 }) .expect("leader rejected start"); if index != 2 { panic!("expected index 2, got {}", index); } thread::sleep(2 * RAFT_ELECTION_TIMEOUT); let (n, _) = cfg.n_committed(index); if n > 0 { panic!("{} committed but no majority", n); } // repair cfg.connect((leader + 1) % servers); cfg.connect((leader + 2) % servers); cfg.connect((leader + 3) % servers); // the disconnected majority may have chosen a leader from // among their own ranks, forgetting index 2. let leader2 = cfg.check_one_leader(); let (index2, _) = cfg.rafts.lock().unwrap()[leader2] .as_ref() .unwrap() .start(&Entry { x: 30 }) .expect("leader2 rejected start"); if !(2..=3).contains(&index2) { panic!("unexpected index {}", index2); } cfg.one(Entry { x: 1000 }, servers, true); cfg.end(); } #[test] fn test_concurrent_starts_2b() { let servers = 3; let mut cfg = Config::new(servers); cfg.begin("Test (2B): concurrent start()s"); let mut success = false; 'outer: for tried in 0..5 { if tried > 0 { // give solution some time to settle thread::sleep(Duration::from_secs(3)); } let leader = cfg.check_one_leader(); let term = match cfg.rafts.lock().unwrap()[leader] .as_ref() .unwrap() .start(&Entry { x: 1 }) { Err(err) => { warn!("start leader {} meet error {:?}", leader, err); continue; } Ok((_, term)) => term, }; let mut idx_rxs = vec![]; for ii in 0..5 { let (tx, rx) = oneshot::channel(); idx_rxs.push(rx); let node = cfg.rafts.lock().unwrap()[leader].clone().unwrap(); cfg.net.spawn(future::lazy(move |_| { let idx = match node.start(&Entry { x: 100 + ii }) { Err(err) => { warn!("start leader {} meet error {:?}", leader, err); None } Ok((idx, term1)) => { if term1 != term { None } else { Some(idx) } } }; tx.send(idx) .map_err(|e| panic!("send failed: {:?}", e)) .unwrap(); })); } let idxes = block_on(async { future::join_all(idx_rxs) .await .into_iter() .map(|idx_rx| idx_rx.unwrap()) .collect::>() }); for j in 0..servers { let t = cfg.rafts.lock().unwrap()[j].as_ref().unwrap().term(); if t != term { // term changed -- can't expect low RPC counts continue 'outer; } } let mut cmds = vec![]; for index in idxes.into_iter().flatten() { if let Some(cmd) = cfg.wait(index, servers, Some(term)) { cmds.push(cmd.x); } else { // peers have moved on to later terms // so we can't expect all Start()s to // have succeeded continue; } } for ii in 0..5 { let x = 100 + ii; let mut ok = false; for cmd in &cmds { if *cmd == x { ok = true; } } assert!(ok, "cmd {} missing in {:?}", x, cmds) } success = true; break; } assert!(success, "term changed too often"); cfg.end(); } #[test] fn test_rejoin_2b() { let servers = 3; let mut cfg = Config::new(servers); cfg.begin("Test (2B): rejoin of partitioned leader"); cfg.one(Entry { x: 101 }, servers, true); // leader network failure let leader1 = cfg.check_one_leader(); cfg.disconnect(leader1); // make old leader try to agree on some entries let _ = cfg.rafts.lock().unwrap()[leader1] .as_ref() .unwrap() .start(&Entry { x: 102 }); let _ = cfg.rafts.lock().unwrap()[leader1] .as_ref() .unwrap() .start(&Entry { x: 103 }); let _ = cfg.rafts.lock().unwrap()[leader1] .as_ref() .unwrap() .start(&Entry { x: 104 }); // new leader commits, also for index=2 cfg.one(Entry { x: 103 }, 2, true); // new leader network failure let leader2 = cfg.check_one_leader(); cfg.disconnect(leader2); // old leader connected again cfg.connect(leader1); cfg.one(Entry { x: 104 }, 2, true); // all together now cfg.connect(leader2); cfg.one(Entry { x: 105 }, servers, true); cfg.end(); } #[test] fn test_backup_2b() { let servers = 5; let mut cfg = Config::new(servers); cfg.begin("Test (2B): leader backs up quickly over incorrect follower logs"); let mut random = rand::thread_rng(); cfg.one(random_entry(&mut random), servers, true); // put leader and one follower in a partition let leader1 = cfg.check_one_leader(); cfg.disconnect((leader1 + 2) % servers); cfg.disconnect((leader1 + 3) % servers); cfg.disconnect((leader1 + 4) % servers); // submit lots of commands that won't commit for _i in 0..50 { let _ = cfg.rafts.lock().unwrap()[leader1] .as_ref() .unwrap() .start(&random_entry(&mut random)); } thread::sleep(RAFT_ELECTION_TIMEOUT / 2); cfg.disconnect((leader1 + 0) % servers); cfg.disconnect((leader1 + 1) % servers); // allow other partition to recover cfg.connect((leader1 + 2) % servers); cfg.connect((leader1 + 3) % servers); cfg.connect((leader1 + 4) % servers); // lots of successful commands to new group. for _i in 0..50 { cfg.one(random_entry(&mut random), 3, true); } // now another partitioned leader and one follower let leader2 = cfg.check_one_leader(); let mut other = (leader1 + 2) % servers; if leader2 == other { other = (leader2 + 1) % servers; } cfg.disconnect(other); // lots more commands that won't commit for _i in 0..50 { let _ = cfg.rafts.lock().unwrap()[leader2] .as_ref() .unwrap() .start(&random_entry(&mut random)); } thread::sleep(RAFT_ELECTION_TIMEOUT / 2); // bring original leader back to life, for i in 0..servers { cfg.disconnect(i); } cfg.connect((leader1 + 0) % servers); cfg.connect((leader1 + 1) % servers); cfg.connect(other); // lots of successful commands to new group. for _i in 0..50 { cfg.one(random_entry(&mut random), 3, true); } // now everyone for i in 0..servers { cfg.connect(i); } cfg.one(random_entry(&mut random), servers, true); cfg.end(); } #[test] fn test_count_2b() { const SERVERS: usize = 3; fn rpcs(cfg: &Config) -> usize { let mut n: usize = 0; for j in 0..SERVERS { n += cfg.rpc_count(j); } n } let mut cfg = Config::new(SERVERS); cfg.begin("Test (2B): RPC counts aren't too high"); cfg.check_one_leader(); let mut total1 = rpcs(&cfg); if !(1..=30).contains(&total1) { panic!("too many or few RPCs ({}) to elect initial leader", total1); } let mut total2 = 0; let mut success = false; 'outer: for tried in 0..5 { if tried > 0 { // give solution some time to settle thread::sleep(Duration::from_secs(3)); } let leader = cfg.check_one_leader(); total1 = rpcs(&cfg); let iters = 10; let (starti, term) = match cfg.rafts.lock().unwrap()[leader] .as_ref() .unwrap() .start(&Entry { x: 1 }) { Ok((starti, term)) => (starti, term), Err(err) => { warn!("start leader {} meet error {:?}", leader, err); continue; } }; let mut cmds = vec![]; let mut random = rand::thread_rng(); for i in 1..iters + 2 { let x = random.gen::(); cmds.push(x); match cfg.rafts.lock().unwrap()[leader] .as_ref() .unwrap() .start(&Entry { x }) { Ok((index1, term1)) => { if term1 != term { // Term changed while starting continue 'outer; } if starti + i != index1 { panic!("start failed"); } } Err(err) => { warn!("start leader {} meet error {:?}", leader, err); continue 'outer; } } } for i in 1..=iters { if let Some(ix) = cfg.wait(starti + i, SERVERS, Some(term)) { if ix.x != cmds[(i - 1) as usize] { panic!( "wrong value {:?} committed for index {}; expected {:?}", ix, starti + i, cmds ); } } } let mut failed = false; total2 = 0; for j in 0..SERVERS { let t = cfg.rafts.lock().unwrap()[j].as_ref().unwrap().term(); if t != term { // term changed -- can't expect low RPC counts // need to keep going to update total2 failed = true; } total2 += cfg.rpc_count(j); } if failed { continue 'outer; } if total2 - total1 > (iters as usize + 1 + 3) * 3 { panic!("too many RPCs ({}) for {} entries", total2 - total1, iters); } success = true; break; } if !success { panic!("term changed too often"); } thread::sleep(RAFT_ELECTION_TIMEOUT); let mut total3 = 0; for j in 0..SERVERS { total3 += cfg.rpc_count(j); } if total3 - total2 > 3 * 20 { panic!( "too many RPCs ({}) for 1 second of idleness", total3 - total2 ); } cfg.end(); } #[test] fn test_persist1_2c() { let servers = 3; let mut cfg = Config::new(servers); cfg.begin("Test (2C): basic persistence"); cfg.one(Entry { x: 11 }, servers, true); // crash and re-start all for i in 0..servers { cfg.start1(i); } for i in 0..servers { cfg.disconnect(i); cfg.connect(i); } cfg.one(Entry { x: 12 }, servers, true); let leader1 = cfg.check_one_leader(); cfg.disconnect(leader1); cfg.start1(leader1); cfg.connect(leader1); cfg.one(Entry { x: 13 }, servers, true); let leader2 = cfg.check_one_leader(); cfg.disconnect(leader2); cfg.one(Entry { x: 14 }, servers - 1, true); cfg.start1(leader2); cfg.connect(leader2); cfg.wait(4, servers, None); // wait for leader2 to join before killing i3 let i3 = (cfg.check_one_leader() + 1) % servers; cfg.disconnect(i3); cfg.one(Entry { x: 15 }, servers - 1, true); cfg.start1(i3); cfg.connect(i3); cfg.one(Entry { x: 16 }, servers, true); cfg.end(); } #[test] fn test_persist2_2c() { let servers = 5; let mut cfg = Config::new(servers); cfg.begin("Test (2C): more persistence"); let mut index = 1; for _ in 0..5 { cfg.one(Entry { x: 10 + index }, servers, true); index += 1; let leader1 = cfg.check_one_leader(); cfg.disconnect((leader1 + 1) % servers); cfg.disconnect((leader1 + 2) % servers); cfg.one(Entry { x: 10 + index }, servers - 2, true); index += 1; cfg.disconnect((leader1 + 0) % servers); cfg.disconnect((leader1 + 3) % servers); cfg.disconnect((leader1 + 4) % servers); cfg.start1((leader1 + 1) % servers); cfg.start1((leader1 + 2) % servers); cfg.connect((leader1 + 1) % servers); cfg.connect((leader1 + 2) % servers); thread::sleep(RAFT_ELECTION_TIMEOUT); cfg.start1((leader1 + 3) % servers); cfg.connect((leader1 + 3) % servers); cfg.one(Entry { x: 10 + index }, servers - 2, true); index += 1; cfg.connect((leader1 + 4) % servers); cfg.connect((leader1 + 0) % servers); } cfg.one(Entry { x: 1000 }, servers, true); cfg.end(); } #[test] fn test_persist3_2c() { let servers = 3; let mut cfg = Config::new(servers); cfg.begin("Test (2C): partitioned leader and one follower crash, leader restarts"); cfg.one(Entry { x: 101 }, 3, true); let leader = cfg.check_one_leader(); cfg.disconnect((leader + 2) % servers); cfg.one(Entry { x: 102 }, 2, true); cfg.crash1((leader + 0) % servers); cfg.crash1((leader + 1) % servers); cfg.connect((leader + 2) % servers); cfg.start1((leader + 0) % servers); cfg.connect((leader + 0) % servers); cfg.one(Entry { x: 103 }, 2, true); cfg.start1((leader + 1) % servers); cfg.connect((leader + 1) % servers); cfg.one(Entry { x: 104 }, servers, true); cfg.end(); } // Test the scenarios described in Figure 8 of the extended Raft paper. Each // iteration asks a leader, if there is one, to insert a command in the Raft // log. If there is a leader, that leader will fail quickly with a high // probability (perhaps without committing the command), or crash after a while // with low probability (most likey committing the command). If the number of // alive servers isn't enough to form a majority, perhaps start a new server. // The leader in a new term may try to finish replicating log entries that // haven't been committed yet. #[test] fn test_figure_8_2c() { let servers = 5; let mut cfg = Config::new(servers); cfg.begin("Test (2C): Figure 8"); let mut random = rand::thread_rng(); cfg.one(random_entry(&mut random), 1, true); let mut nup = servers; for _iters in 0..1000 { let mut leader = None; for i in 0..servers { let mut rafts = cfg.rafts.lock().unwrap(); if let Some(Some(raft)) = rafts.get_mut(i) { if raft.start(&random_entry(&mut random)).is_ok() { leader = Some(i); } } } if (random.gen::() % 1000) < 100 { let ms = random.gen::() % ((RAFT_ELECTION_TIMEOUT.as_millis() / 2) as u64); thread::sleep(Duration::from_millis(ms)); } else { let ms = random.gen::() % 13; thread::sleep(Duration::from_millis(ms)); } if let Some(leader) = leader { cfg.crash1(leader); nup -= 1; } if nup < 3 { let s = random.gen::() % servers; if cfg.rafts.lock().unwrap().get(s).unwrap().is_none() { cfg.start1(s); cfg.connect(s); nup += 1; } } } for i in 0..servers { if cfg.rafts.lock().unwrap().get(i).unwrap().is_none() { cfg.start1(i); cfg.connect(i); } } cfg.one(random_entry(&mut random), servers, true); cfg.end(); } #[test] fn test_unreliable_agree_2c() { let servers = 5; let cfg = { let mut cfg = Config::new_with(servers, true, false); cfg.begin("Test (2C): unreliable agreement"); Arc::new(cfg) }; let mut dones = vec![]; for iters in 1..50 { for j in 0..4 { let c = cfg.clone(); let (tx, rx) = oneshot::channel(); thread::spawn(move || { c.one( Entry { x: (100 * iters) + j, }, 1, true, ); tx.send(()).map_err(|e| panic!("send failed: {:?}", e)) }); dones.push(rx); } cfg.one(Entry { x: iters }, 1, true); } cfg.net.set_reliable(true); block_on(async { future::join_all(dones) .await .into_iter() .for_each(|done| done.unwrap()); }); cfg.one(Entry { x: 100 }, servers, true); cfg.end(); } #[test] fn test_figure_8_unreliable_2c() { let servers = 5; let mut cfg = Config::new_with(servers, true, false); cfg.begin("Test (2C): Figure 8 (unreliable)"); let mut random = rand::thread_rng(); cfg.one( Entry { x: random.gen::() % 10000, }, 1, true, ); let mut nup = servers; for iters in 0..1000 { if iters == 200 { cfg.net.set_long_reordering(true); } let mut leader = None; for i in 0..servers { if cfg.rafts.lock().unwrap()[i] .as_ref() .unwrap() .start(&Entry { x: random.gen::() % 10000, }) .is_ok() && cfg.connected[i] { leader = Some(i); } } if (random.gen::() % 1000) < 100 { let ms = random.gen::() % (RAFT_ELECTION_TIMEOUT.as_millis() as u64 / 2); thread::sleep(Duration::from_millis(ms as u64)); } else { let ms = random.gen::() % 13; thread::sleep(Duration::from_millis(ms)); } if let Some(leader) = leader { if (random.gen::() % 1000) < (RAFT_ELECTION_TIMEOUT.as_millis() as usize) / 2 { cfg.disconnect(leader); nup -= 1; } } if nup < 3 { let s = random.gen::() % servers; if !cfg.connected[s] { cfg.connect(s); nup += 1; } } } for i in 0..servers { if !cfg.connected[i] { cfg.connect(i); } } cfg.one( Entry { x: random.gen::() % 10000, }, servers, true, ); cfg.end(); } fn internal_churn(unreliable: bool) { let servers = 5; let mut cfg = Config::new_with(servers, unreliable, false); if unreliable { cfg.begin("Test (2C): unreliable churn") } else { cfg.begin("Test (2C): churn") } let stop = Arc::new(AtomicUsize::new(0)); // create concurrent clients // TODO: change it a future fn cfn( me: usize, stop_clone: Arc, tx: Sender>>, rafts: Arc]>>>, storage: Arc>, ) { let mut values = vec![]; while stop_clone.load(Ordering::SeqCst) == 0 { let mut random = rand::thread_rng(); let x = random.gen::(); let mut index: i64 = -1; let mut ok = false; // try them all, maybe one of them is a leader let rafts: Vec<_> = rafts.lock().unwrap().iter().cloned().collect(); for raft in &rafts { match raft { Some(rf) => { match rf.start(&Entry { x }) { Ok((index1, _)) => { index = index1 as i64; ok = true; } Err(_) => continue, }; } None => continue, } } if ok { // maybe leader will commit our value, maybe not. // but don't wait forever. for to in &[10, 20, 50, 100, 200] { let (nd, cmd) = storage.lock().unwrap().n_committed(index as u64); if nd > 0 { match cmd { Some(xx) => { if xx.x == x { values.push(xx.x); } } None => panic!("wrong command type"), } break; } thread::sleep(Duration::from_millis(*to)); } } else { thread::sleep(Duration::from_millis((79 + me * 17) as u64)); } } if !values.is_empty() { tx.send(Some(values)).unwrap(); } else { tx.send(None).unwrap(); } } let ncli = 3; let mut nrec = vec![]; for i in 0..ncli { let stop_clone = stop.clone(); let (tx, rx) = channel(); let storage = cfg.storage.clone(); let rafts = cfg.rafts.clone(); thread::spawn(move || { cfn(i, stop_clone, tx, rafts, storage); }); nrec.push(rx); } let mut random = rand::thread_rng(); for _iters in 0..20 { if (random.gen::() % 1000) < 200 { let i = random.gen::() % servers; cfg.disconnect(i); } if (random.gen::() % 1000) < 500 { let i = random.gen::() % servers; if cfg.rafts.lock().unwrap().get(i).unwrap().is_none() { cfg.start1(i); } cfg.connect(i); } if (random.gen::() % 1000) < 200 { let i = random.gen::() % servers; if cfg.rafts.lock().unwrap().get(i).unwrap().is_some() { cfg.crash1(i); } } // Make crash/restart infrequent enough that the peers can often // keep up, but not so infrequent that everything has settled // down from one change to the next. Pick a value smaller than // the election timeout, but not hugely smaller. thread::sleep((RAFT_ELECTION_TIMEOUT * 7) / 10) } thread::sleep(RAFT_ELECTION_TIMEOUT); cfg.net.set_reliable(true); for i in 0..servers { if cfg.rafts.lock().unwrap().get(i).unwrap().is_none() { cfg.start1(i); } cfg.connect(i); } stop.store(1, Ordering::SeqCst); let mut values = vec![]; for rx in &nrec { let mut vv = rx.recv().unwrap().unwrap(); values.append(&mut vv); } thread::sleep(RAFT_ELECTION_TIMEOUT); let last_index = cfg.one(random_entry(&mut random), servers, true); let mut really = vec![]; for index in 1..=last_index { let v = cfg.wait(index, servers, None).unwrap(); really.push(v.x); } for v1 in &values { let mut ok = false; for v2 in &really { if v1 == v2 { ok = true; } } assert!(ok, "didn't find a value"); } cfg.end() } #[test] fn test_reliable_churn_2c() { internal_churn(false); } #[test] fn test_unreliable_churn_2c() { internal_churn(true); } fn snap_common(name: &str, disconnect: bool, reliable: bool, crash: bool) { const MAX_LOG_SIZE: usize = 2000; let iters = 30; let servers = 3; let mut cfg = Config::new_with(servers, !reliable, true); cfg.begin(name); let mut random = rand::thread_rng(); cfg.one(random_entry(&mut random), servers, true); let mut leader1 = cfg.check_one_leader(); for i in 0..iters { let mut victim = (leader1 + 1) % servers; let mut sender = leader1; if i % 3 == 1 { sender = (leader1 + 1) % servers; victim = leader1; } if disconnect { cfg.disconnect(victim); cfg.one(random_entry(&mut random), servers - 1, true); } if crash { cfg.crash1(victim); cfg.one(random_entry(&mut random), servers - 1, true); } // send enough to get a snapshot for _ in 0..=SNAPSHOT_INTERVAL { let _ = cfg.rafts.lock().unwrap()[sender] .as_ref() .unwrap() .start(&random_entry(&mut random)); } // let applier threads catch up with the Start()'s cfg.one(random_entry(&mut random), servers - 1, true); assert!(cfg.log_size() < MAX_LOG_SIZE, "log size too large"); if disconnect { // reconnect a follower, who maybe behind and // needs to receive a snapshot to catch up. cfg.connect(victim); cfg.one(random_entry(&mut random), servers, true); leader1 = cfg.check_one_leader(); } if crash { cfg.start1_snapshot(victim); cfg.connect(victim); cfg.one(random_entry(&mut random), servers, true); leader1 = cfg.check_one_leader(); } } cfg.end(); } #[test] fn test_snapshot_basic_2d() { snap_common("Test (2D): snapshots basic", false, true, false); } #[test] fn test_snapshot_install_2d() { snap_common( "Test (2D): install snapshots (disconnect)", true, true, false, ); } #[test] fn test_snapshot_install_unreliable_2d() { snap_common( "Test (2D): install snapshots (disconnect+unreliable)", true, false, false, ); } #[test] fn test_snapshot_install_crash_2d() { snap_common("Test (2D): install snapshots (crash)", false, true, true); } #[test] fn test_snapshot_install_unreliable_crash_2d() { snap_common( "Test (2D): install snapshots (unreliable+crash)", false, false, true, ); } ================================================ FILE: courses/rust/.gitignore ================================================ *~ target/ ================================================ FILE: courses/rust/CONTRIBUTING.md ================================================ # Contributing to PNA Rust Contributions of any kind are welcome. File bugs on the [issue tracker], no matter how small. If something in the course didn't make sense to you then it won't make sense to somebody else and needs to be fixed. That includes the language: this course is intended to be accessible to those with modest English-language comprehension. Non-technical words should be simple, and grammar should be easy to follow. General feedback and suggestions can be submitted to the issue tracker or to the #rust-training channel on the [TiKV Slack]. When you see something inconsistent or confusing, consider fixing it directly and sending a pull request. For those looking for something to contribute, on the issue tracker, issues for the Rust course are tagged `p: rust`. The `help wanted` and `good first issue` tags may help you find something interesting. [issue tracker]: https://github.com/pingcap/talent-plan/issues/ [TiKV Slack]: https://join.slack.com/t/tikv-wg/shared_invite/enQtNTUyODE4ODU2MzI0LWVlMWMzMDkyNWE5ZjY1ODAzMWUwZGVhNGNhYTc3MzJhYWE0Y2FjYjliYzY1OWJlYTc4OWVjZWM1NDkwN2QxNDE ## Developing a new project Each project expands the scope of the previous, and builds off of learnings from previous projects. Each project lends itself to being extended by the next section's project. When writing a project, look for steps where the design could be specified in multiple ways, where there are multiple solutions, where there is deeper understanding to be gained, and ask questions formulated to get the reader to think more deeply. Projects should be written to take between 2 - 4 hours to implement. When writing a project, look for optional "extension" steps that teach additional practical subjects, but which either aren't necessary to complete the project or require more time and skill to implement. Extension steps usually go at the end of a project. Project text doesn't link directly to documentation resources containing solutions - students should learn where to get the answers from the previous "building blocks" sections. Project text may include inline links to pages that offer explanatios of terms and concepts. Some subjects are revisited multiple times. In particular it is common for one project to introduce a subject with basic tasks, then the subsequent project to expand on that same subject with deeper tasks. ## Style notes Building blocks pages generally begin with the same encouraging phrase, and project pages generally end with the same encouraging phrase. Headers do not capitalize every word; words after a colon are capitalized: ``` ## Project spec ## Lesson: Tools and good bones ``` In projects, be clear on when the student should start hacking, and what they should be hacking, by writing an imperative statement. Format that command in italics: ``` _Try it now._ ``` If there are project extension sections, the first one is preceeded by a thematic break (`---`). For markdown readability headers are always preceeded by two line breaks. One-paragraph side-notes are in italics and preceeded with "Note:", like `_Note: whatever._` Larger tangents that don't move the project forward are in their own sections, with their own headers, named "Aside: ...". They should be related to the subject matter and be interesting enough to justify the large detour. Internal hyperlinks are relative to the current directory, not absolute. For building blocks exercises, if the description spans multiple paragraphs, begin the description in a paragraph separate from the exercise name: ``` - **Exercise: Write a thread pool**. A [thread pool] runs jobs (functions) on a set of reusable threads, which can be more efficient than spawning a new thread for every job. Create a simple thread pool with the following type signature: ``` ## Maintenace notes Keep the project summary (the `**Task**`, `**Goals**`, etc. text) synced between plan.md and the project description. New documentation files that are not part of a project or building-blocks, and not part of standard top-level project files go in `docs/` to keep the GitHub directory listing clean, and keep the rendered README above "the fold". Miscellaneous files that are not part of the user-visible projcet live in `docs/etc`. ================================================ FILE: courses/rust/README.md ================================================ # Practical Networked Applications in Rust A training course about practical systems software construction in [Rust]. Over a series of projects, you will build a single networked, multithreaded, and asynchronous Rust application. Creating this application, a [key-value database][kv], will provide opportunities to exercise the best of the crate ecosystem, a variety of concurrent data types, the world of async Rust, interesting language features, and important Rust tools. In between projects are small lessons and exercises on the subjects necessary to complete the next project. Subjects covered include: - Structuring and maintaining Rust programs - Applying common tools like [clippy] and [rustfmt] - Best practices in Rust error handling - Serialization with [serde] - Simple log-structured storage, inspired by [bitcask] - Network programming with std and [tokio] - Benchmarking with [criterion] - Fun and foolproof parallel programming with [crossbeam] and more - Asyncronous programming with Rust [futures] - How to learn what you don't know about Rust and find the documentation and crates you need to succeed After completing this course you will have the knowledge and experience to begin writing high performance, reliable, systems software in Rust. And you might discover that doing so is simpler than you expected. _**Important note: Practical Networked Applications in Rust is in an alpha state**. It contains bugs and its scope is limited. If you are taking it now you are brave, but you are also an early tester and your feedback is greatly appreciated. As you are following along please [file issues]. You are also encouraged to fix problems on your own and submit pull requests. See [CONTRIBUTING.md] for details._ **[View the lesson plan][plan]**. ## The goal of this course The goal of this course is to teach new Rust programmers how to build real-world [systems programs][sp], with all the desirable Rust characteristics, including high-performance, reliability, and easy concurrency; and to do so using the best practices that might not be evident to newcomers. Non-goals of this course include teaching installation, syntax, and other Rust basics; teaching basic data structures and algorithms; teaching basic parallel and asynchronous programming concepts; and being a comprehensive resource on the Rust language. That information is easily found in [The Rust Book] and elsewhere. **[View the lesson plan][plan]**. ## Who is this for? Practical Networked Applications in Rust is for novice _Rust_ programmers, but it is not for novice programmers. The primary audience of this course is recent graduates and near-graduates of an undergraduate computer science program who are considering starting a career as a Rust systems programmer. Others will also likely benefit, including experienced developers without systems programming experience. ## Prerequisites Those taking this course should: - [ ] have the equivalent of an undergraduate computer science education, - [ ] have intermediate-level experience in some programming language, - [ ] be comfortable working in the terminal and command line, - [ ] know how to use [git], - [ ] have novice-level experience with [parallel programming] in some language, - [ ] have novice-level experience with [asynchronous programming] in some language, - [ ] have novice-level experience writing code to query a database, [SQL], [NoSQL], [NewSQL], [key-value][kv], or otherwise. - [ ] **have read [The Rust Book] in its entirety**, - [ ] have written _some_ Rust code, including the projects from the book: - [programming a guessing game], - [building a command-line program] and - [building a multithreaded web server]. To reiterate — read [The Rust Book] _before_ taking this course. It is not necessary to have more than novice-level knowledge or experience with Rust, but this course does not teach Rust basics. If you can check all the above boxes then you are ready for this course. If not, we have some [suggestions][pre] for how to learn the prerequisites. Get started now - **[view the lesson plan][plan]**. ## Other courses in this series This course is part of a [series of courses] initiated by [PingCAP] to train students, contributors, new hires, and existing employees in Rust for distributed systems. Those who complete this one may wish to continue to [Distributed Systems in Rust]. ## A PingCAP-specific note This course, combined with [Deep Dive TiKV], and the [Distributed Systems in Rust] course is intended to be enough to enable programmers to meaningfully contribute to [TiKV]. It is most specifically designed to teach those in the Chinese Rust community enough Rust to work on TiKV. The language used is intended to be simple so that those who read only a little English can follow. If you find any of the language difficult to understand please [file issues]. ## Contributing See [CONTRIBUTING.md]. ## License All text and code for this course is dual licensed [CC-BY 4.0] and [MIT]. You may freely reuse any material here under the terms of either or both, at your discretion. [CONTRIBUTING.md]: CONTRIBUTING.md [CC-BY 4.0]: https://opendefinition.org/licenses/cc-by/ [MIT]: https://opensource.org/licenses/MIT [Deep Dive TiKV]: https://tikv.org/deep-dive/introduction/ [Distributed Systems in Rust]: https://github.com/pingcap/talent-plan/tree/master/courses/dss [NewSQL]: https://en.wikipedia.org/wiki/NewSQL [NoSQL]: https://www.thoughtworks.com/insights/blog/nosql-databases-overview [PingCAP]: https://pingcap.com/ [SQL]: https://en.wikipedia.org/wiki/SQL [The Rust Book]: https://doc.rust-lang.org/book/ [The Rust Book]: https://doc.rust-lang.org/stable/book/ [TiKV]: https://github.com/tikv/tikv/ [asynchronous programming]: todo [bitcask]: https://github.com/basho/bitcask/blob/develop/doc/bitcask-intro.pdf [building a command-line program]: https://doc.rust-lang.org/stable/book/ch12-00-an-io-project.html [building a multithreaded web server]: https://doc.rust-lang.org/stable/book/ch20-00-final-project-a-web-server.html [clippy]: https://github.com/rust-lang/rust-clippy/ [criterion]: https://github.com/bheisler/criterion.rs [crossbeam]: https://github.com/crossbeam-rs/crossbeam [file issues]: https://github.com/pingcap/talent-plan/issues/ [futures]: https://docs.rs/futures/0.1.27/futures/ [git]: https://git-scm.com/ [kv]: https://en.wikipedia.org/wiki/Key-value_database [parallel programming]: todo [plan]: ./docs/lesson-plan.md [post-project surveys]: ./docs/lesson-plan.md#user-content-making-pna-rust-better [pre]: ./docs/prerequisites.md [programming a guessing game]: https://doc.rust-lang.org/stable/book/ch02-00-guessing-game-tutorial.html [rustfmt]: https://github.com/rust-lang/rustfmt/ [serde]: https://github.com/serde-rs/serde [series of courses]: https://github.com/pingcap/talent-plan/ [sp]: https://en.wikipedia.org/wiki/System_programming [the roadmap]: ./docs/roadmap.md [tokio]: https://github.com/tokio-rs/tokio [Rust]: https://www.rust-lang.org/ ================================================ FILE: courses/rust/building-blocks/bb-1.md ================================================ # PNA Rust — Building Blocks 1 Let's learn some building blocks! Put your other projects and concerns aside. Take a breath and relax. Here are some fun resources for you to explore. Read all the readings and perform all the exercises. - **[Exercise: Write a Good CLI Program]**. Writing a CLI program in Rust. This is a good warmup to the CLI program you'll be writing in this course, and the techniques used by this author may provide an interesting contrast to those we suggest. Follow along and write the same code. Can you reproduce their results? - **[Reading: The Cargo manifest format]**. A single page in [The Cargo Book], this will give you an idea of how your project can be customized a bit if you so choose. This is a page you will come back to repeatedly as a Rust programmer. - **[Reading: Cargo environment variables]**. Also from The Cargo Book, and also a page that you will see many times in the future. Environment variables are one way that it communicates with rustc, allowing it to set the various [`env!`] macros at build time, in both your program source code and build scripts. It is also a way for scripts and other systems to communicate to Cargo. - **[Reading: Rust API Guidelines: Documentation]**. The Rust project is opinionated about how Rust source is written. This page is on how to document Rust projects, but the whole book is worth reading. These are written by experienced Rust developers, but are in an incomplete state. Note the GitHub organization it belongs to — [`rust-lang-nursery`]. It contains many interesting projects. [Reading: Rust API Guidelines: Documentation]: https://rust-lang-nursery.github.io/api-guidelines/documentation.html [Reading: The Cargo manifest format]: https://doc.rust-lang.org/cargo/reference/manifest.html [Reading: Cargo environment variables]: https://doc.rust-lang.org/cargo/reference/environment-variables.html [The Cargo Book]: https://doc.rust-lang.org/cargo/reference/manifest.html [`env!`]: https://doc.rust-lang.org/std/macro.env.html [`rust-lang-nursery`]: https://github.com/rust-lang-nursery [Reading: The rustup documentation]: https://github.com/rust-lang/rustup.rs/blob/master/README.md [Exercise: Write a Good CLI Program]: https://qiita.com/tigercosmos/items/678f39b1209e60843cc3 ================================================ FILE: courses/rust/building-blocks/bb-2.md ================================================ # PNA Rust — Building Blocks 2 Let's learn some building blocks! Put your other projects and concerns aside. Take a breath and relax. Here are some fun resources for you to explore. Read all the readings and perform all the exercises. - **[Reading: Damn Cool Algorithms: Log structured storage][lss]**. A simple overview of the basic concept of log-structured storage. There are many log-structured storage algorithms, and the particular one described here is not the one you will be using. - **[Reading: The Design and Implementation of a Log-Structured File System][lsfs]**. The influential paper. - **[Reading: Bitcask: A Log-Structured Hash Table for Fast Key/Value Data][bc]**. A simple but effective design for a key-value database, and one that uses log-structured storage. - **[Reading: Error Handling in Rust][e]**. Rust error handling is powerful, and many Rust programmers adore it once they have gotten the hang of it. But it is complex, and has a complex history of trial and error. This is a classic in-depth article on best-practices for error handling in Rust. It is from 2015, and there have been some minor changes to error handling since then, but there is a lot of wisdom in here. The author, [BurntSushi], has done much experimenting with Rust error handling, and is considered an authority on that and [other things]. - **[Reading: `std::collections`][c]**. As a systems programmer it is crucial to know the behavior of a variety of data structures well, if not their implementations. The standard library's `collections` module has a pretty amazing overview of the tradeoffs between a number of the most common collection types in computer science. For this, you only need to read the module docs. - **[Reading: `std::io`][io]**. Again, you need to know your I/O tools, and again the Rust `io` module docs, while not as brilliant reading as the `collections` docs, provide a good overview of your toolset. You only need to read the module docs. - **Exercise: Serialize and deserialize a data structure with `serde` (JSON)**. This exercise and the next two will introduce basic serialization and deserialization with [`serde`]. `serde` serializes data quickly and is easy to use, while also being extensible and expressive. For your serializable data structure, imagine a flat game-playing surface covered in a grid of squares, like a chess board. Imagine you have a game character that every turn may move any number of squares in a single direction. Define a type, `Move` that represents a single move of that character. Derive the [`Debug`] trait so `Move` is easily printable with the `{:?}` format specifier. Write a `main` function that defines a variable, `a`, of type `Move`, serializes it with [`serde`] to a [`File`], then deserializes it back again to a variable, `b`, also of type `Move`. Use [JSON] as the serialization format. Print `a` and `b` with `println!` and the `{:?}` format specifier to verify successful deserialization. Note that the `serde` book has many [examples] to work off of. - **Exercise: Serialize and deserialize a data structure to a buffer with `serde` (RON)**. Do the same as above, except this time, instead of serializing to a `File`, serialize to a `Vec` buffer, and after that try using [RON] instead of JSON as the format. Are there any differences in serialization to a `Vec` instead of a `File`? What about in using the RON crate vs the JSON crate? Convert the `Vec` to `String` with [`str::from_utf8`], unwrapping the result, then print that serialized string representation to see what `Move` looks like serialized to RON. - **Exercise: Serialize and deserialize 1000 data structures with `serde` (BSON)**. This one is slightly different. Where the previous exercises serialized and deserialized a single value to a buffer, in this one serialize 1000 different `Move` values to a single file, back-to-back, then deserialize them again. This time use the [BSON] format. Things to discover here are whether serde automatically maintains the correct file offsets (the "cursor") to deserialize multiple values in sequence, or if you need to parse your own "frames" around each value to define their size, and how to detect that there are no more values to parse at the end of the file. After you've succeeded at serializing and deserializing multiple values to a file, try it again with a `Vec`. Serializing and deserializing generally requires the destination implement the [`Write`] and [`Read`] traits. Does `Vec` implement either or both? What is the behavior of those implementations? You may need to wrap your buffer in wrapper types that implement these traits in order to get the correct behavior — the API docs for the traits list all their implementors in the standard library, and whatever you need will be in there somewhere. [`File`]: https://doc.rust-lang.org/std/fs/struct.File.html [`Write`]: https://doc.rust-lang.org/std/io/trait.Write.html [`Read`]: https://doc.rust-lang.org/std/io/trait.Read.html [BSON]: https://github.com/zonyitoo/bson-rs [RON]: https://github.com/ron-rs/ron [`str::from_utf8`]: https://doc.rust-lang.org/std/str/fn.from_utf8.html [JSON]: https://github.com/serde-rs/json [`Debug`]: https://doc.rust-lang.org/std/fmt/trait.Debug.html [examples]: https://serde.rs/examples.html [`serde`]: https://serde.rs/ [lss]: http://blog.notdot.net/2009/12/Damn-Cool-Algorithms-Log-structured-storage [lsfs]: https://people.eecs.berkeley.edu/~brewer/cs262/LFS.pdf [io]: https://doc.rust-lang.org/std/io/ [c]: https://doc.rust-lang.org/std/collections/ [e]: https://blog.burntsushi.net/rust-error-handling/ [bc]: https://github.com/basho/bitcask/blob/develop/doc/bitcask-intro.pdf [BurntSushi]: https://github.com/BurntSushi [other things]: https://github.com/BurntSushi/ripgrep ================================================ FILE: courses/rust/building-blocks/bb-3.md ================================================ # PNA Rust — Building Blocks 3 Let's learn some building blocks! Put your other projects and concerns aside. Take a breath and relax. Here are some fun resources for you to explore. Read all the readings and perform all the exercises. - **[Reading: `log` crate API][l]**. The original Rust logging crate. Just read the crate-level documentation (the front page). You may need to click little `[+]` or `[-]` buttons to make the crate docs visible. This will give you an idea about how logging works in Rust. - **[Reading: `slog` crate API][sl]**. Another popular logging crate, designed for "structured logging". Again, just read the crate-level docs, to compare to `log`. You might also want to look at ["Introduction to structured logging with slog"][sli]. - **[Reading: Benefits of Structured Logging vs basic logging][lvsl]**. A StackOverflow discussion about the differences between traditional, text-oriented, line logging and structured logging. - **[Reading: Redis Protocol specification][rp]**. The protocol spec for [Redis], an in-memory key-value store. Think about what their design priorities were. When reading this it also helps to have the Redis [commands] on hand. - **Exercise: Write a Redis ping-pong client and server using `std::io`**. Write a simple client and server that speaks the Redis protocol, with the client issuing [PING] commands and the server responding appropriately. Use the [`std::io`] APIs to read and write bytes directly. Does your client work with an actual Redis server? - **Exercise: Write a Redis ping-pong client and server with serialized messages**. Same as above, but this time define the protocol with types and write a [`serde` data format][df] to indirectly read and write messages through serialization. - **[Reading: Statistically Rigorous Java Performance Evaluation][pe]**. Although it is specifically about Java, and discusses topics relevant to garbage-collected languages, it is a good example of the kind of thinking necessary to create effective benchmarks. [pe]: https://dri.es/files/oopsla07-georges.pdf [df]: https://serde.rs/data-format.html [`std::io`]: https://doc.rust-lang.org/std/io/ [PING]: https://redis.io/commands/ping [commands]: https://redis.io/commands [Redis]: https://redis.io/ [rp]: https://redis.io/topics/protocol [l]: https://docs.rs/log/ [sl]: https://docs.rs/slog/ [sli]: https://github.com/slog-rs/slog/wiki/Introduction-to-structured-logging-with-slog [lvsl]: https://softwareengineering.stackexchange.com/questions/312197/benefits-of-structured-logging-vs-basic-logging ================================================ FILE: courses/rust/building-blocks/bb-4.md ================================================ # PNA Rust — Building Blocks 4 Let's learn some building blocks! Put your other projects and concerns aside. Take a breath and relax. Here are some fun resources for you to explore. Read all the readings and perform all the exercises. Also watch the video. - **[Reading: Fearless Concurrency with Rust][f]**. This is a classic Rust blog post from [Aaron Turon][at] that clearly explains why concurrency is so easy in Rust. The title is also the origin of using the word "fearless" to describe various Rust properties. - **[Reading: What is the difference between concurrency and parallelism?][d]**. This is a 10 second read, but something to keep in mind. The two words are often used interchangably. We'll mostly use the word "concurrent" since it is more general than "parallel". Sometimes we'll use the word "parallel" to be more specific, sometimes because it sounds better… - **[Reading: Rust: A unique perspective][ru]**. An explanation of the dangers of mutable aliasing and how Rust solves the problem. This one is by [Matt Brubeck][mb], from the [Servo] team. - **[Video: Rust Concurrency Explained][ex]**. A more in-depth talk by [Alex Crichton][ac]. Aaron and Alex wrote many of the concurrent data structures in the standard library. Alex has given versions of this talk for years, and it is a pretty great overview of what Rust can do. - **[Reading: `std::sync`][ss]**. Once again, the standard library documentation provides not only good documentation about the library, but about the subject in general. This provides an overview of most of the concurrent types provided by the standard library. - **[Exercise: Basic multithreading][bmt]**. This is a simple multithreading exercise from the [rustlings] project. It is small enough that it can be completed on [play.rust-lang.org]. - **Exercise: Write a thread pool**. A [thread pool] runs jobs (functions) on a set of reusable threads, which can be more efficient than spawning a new thread for every job. Create a simple thread pool with the following type signature: ```rust impl ThreadPool { fn new(threads: u32) -> Result; fn spawn(&self, job: F) where F: FnOnce() + Send + 'static; } ``` The `new` function should immediately spawn `threads` number of threads, and then those threads will wait for jobs to be spawned. When a thread recieves a job, it runs it to completion, then waits for the next job. The [`threadpool`][tp1] crate and Rayon's [`ThreadPool`][tp2] may provide inspiration. - **[Reading: Lock-free vs wait-free concurrency][lf]**. It seems like everybody wants their code to be "lock-free". What's that mean? [lf]: https://rethinkdb.com/blog/lock-free-vs-wait-free-concurrency/ [play.rust-lang.org]: https://play.rust-lang.org/ [tp1]: https://docs.rs/threadpool/1.7.1/threadpool/struct.ThreadPool.html [tp2]: https://docs.rs/rayon/1.0.3/rayon/struct.ThreadPool.html [thread pool]: https://softwareengineering.stackexchange.com/questions/173575/what-is-a-thread-pool#173581 [ss]: https://doc.rust-lang.org/std/sync/index.html [Servo]: https://github.com/servo/servo [mb]: https://github.com/mbrubeck/ [ru]: https://limpet.net/mbrubeck/2019/02/07/rust-a-unique-perspective.html [ac]: https://github.com/alexcrichton/ [ex]: https://www.youtube.com/watch?v=Dbytx0ivH7Q [f]: https://blog.rust-lang.org/2015/04/10/Fearless-Concurrency.html [d]: https://stackoverflow.com/questions/1050222/what-is-the-difference-between-concurrency-and-parallelism#1050257 [at]: https://github.com/aturon [bmt]: https://github.com/rust-lang/rustlings/blob/master/exercises/threads/threads1.rs [rustlings]: https://github.com/rust-lang/rustlings/ ================================================ FILE: courses/rust/building-blocks/bb-5.md ================================================ # PNA Rust — Building Blocks 5 Let's learn some building blocks! Put your other projects and concerns aside. Take a breath and relax. Here are some fun resources for you to explore. Read all the readings and perform all the exercises. Coming soon! ================================================ FILE: courses/rust/docs/etc/notes.md ================================================ # Implementors' notes ## Desired subjects This is a more full list of topics to cover than in the README. - error handling - simple vs. complex, Fail vs StdError, etc - `fn main() -> Result` - `panic!` and unwinding - logging w/ log and slog - how env_logger works? - trees vs maps - async vs sync networking - `std` networking - TCP vs UDP - `reqwest` - blocking HTTP serving w/ Iron - sync file io and solutions to blocking - buffered vs unbuffered i/o - benchmarking, criterion and critcmp, black_box - RUST_BACKTRACE - where to ask questions - futures - tokio - mio? - async/await? - maybe future iterations - Pin? - generic placeholder idiom - let foo: Vec<_> = - construction w/ iterators idiom - semver trick - impl trait, the Into> trick - Rust history, culture, design principles - rustfmt, clippy, configuring both - rust 2018? - we'll just asume rust 2018 and not mention 2015 unless necessary - tools most rust programmers should know - build scripts - protobuf compilation example - getting rustc version - in-depth examples of crates that rely on build scripts - using RUSTFLAGS - debugging - profiling - how not to write Rust (bad practices from other languages) - Ana likes this - variable shadowing - DSTs - configuring clippy / rustfmt - scripting clippy / rustfmt for CI - CI setup - when to use which struct types, impls, ctor patterns, dtors, reprs, padding demo, packed structs, size and alignment in depth, enum implementation and optimizations - importing crates, features, debugging and fixing dependencies, std vs crate philosophy and history, finding crates - how does testing work? - what does `cargo run` do? - cargo / rustc wrapping pattern in depth (ex rustup, `RUSTC_WRAPPER`) - formatting tips, derive Debug in depth, how does `format!` work? - mutable aliasing bugs, how ownership prevents mutable aliasing - Sync / Send, uniq / shared vs immutable / mutable - `Rc` and `Arc`, interior mutability in depth - when to use pass-by-value, the performance impact of moves - reference-bearing structs - sharing vs message passing - thread pools - workspaces - refactoring - https://github.com/altsysrq/proptest - fuzzing - dbg! - shadowing ## Sources - https://pdos.csail.mit.edu/6.824/schedule.html - The MIT distributed systems course this course is inspired by and intended to precede - https://github.com/ferrous-systems/rust-three-days-course - https://github.com/nrc/talks - RustBridge ## Pedagogy - https://launchschool.com/pedagogy - https://launchschool.com/is_this_for_me ## Reading sources - previous reading ideas https://github.com/pingcap/talent-plan/blob/32311e6999a2a5b7db25cd2b4dd96491d5181165/rust/plan.md - http://highscalability.com/blog/2011/1/10/riaks-bitcask-a-log-structured-hash-table-for-fast-keyvalue.html - https://github.com/brson/rust-anthology/blob/master/master-list.md - https://github.com/ctjhoa/rust-learning - https://github.com/basho/bitcask/blob/develop/doc/bitcask-intro.pdf - https://rust-lang-nursery.github.io/failure/ - https://serde.rs/ - https://doc.rust-lang.org/cargo/ - https://medium.com/rabiprasadpadhy/google-spanner-a-newsql-journey-or-beginning-of-the-end-of-the-nosql-era-3785be8e5c38 - https://github.com/Hexilee/async-io-demo - https://stjepang.github.io/2019/01/29/lock-free-rust-crossbeam-in-2019.html - https://limpet.net/mbrubeck/2019/02/07/rust-a-unique-perspective.html - https://doc.rust-lang.org/nomicon/aliasing.html - https://manishearth.github.io/blog/2015/05/17/the-problem-with-shared-mutability/ - https://www.youtube.com/watch?v=9_3krAQtD2k (futures async await) - https://shipilev.net/blog/2014/java-scala-divided-we-fail/ - https://www.internalpointers.com/post/lock-free-multithreading-atomic-operations ## Exercise sources - https://github.com/rust-lang/rustlings - https://exercism.io/tracks/rust - https://doc.rust-lang.org/rust-by-example/index.html ## Subjects to potentially cut - Parallelism section - Formatting lesson - Build time lesson - Collections and iterators ## Grading - automated text-based cheat detection - automated grading of test cases - automated grading of non-unit-test requirements via python script - how to grade freeform answers? ## TODO - do survey of other sources' subject progression - lessons and labs pose questions - have a chinese native identify and remove 'hard' words and phrases - mention somewhere that we're using rust 2018 only, how to verify - change slides.html URLS to link to the hosted file - add more description of how to treat the projects - note that improvements beyond the scope of the project are encouraged - comment them - add TOC to each project - use fail-rs for consistency tests - mention the test names that should be focused on each part of each project - find a way to use specialization via the KvsEngine trait - use imperative "part" titles? "creating" vs "create" - add explanation of "blocking" to parallelism / thread pool project - per readme, make parallelism project "fun and foolproof" - per readme, incorporate critcmp - deleted from readme: - Build scripts and the interaction between build-time and run-time - Insights into inner workings of the language and libraries - to look "under the hood" and understand how and why Rust works like it does - the course can be delivered offline - _lessons_ - focused coverage of subjects required for writing practical software of the type developed in the corresponding projects, including advanced tips, best practices, and deep dives. This are in the form of slides, speaker notes, and short _writeups_. - removed goal of teaching how to find information on your own about rust - it's now an implicit goal - be clearer about crate deps - consistent formatting for crate names (code or not?) (yes, to offset them as crates when not explicitly mentioned) - do better at identifing and explaining the individual problems being solved - add tips for finding documentation and crates - mention mdbook when first linking to a book - rustup doc and cargo doc and where both draw their content from - make project contents more consistent - projects contain sections that are unrelated to the main subject - change project.md to description.md, to get rid of the path stuttering - replace wikipedia, docs.rs, official rust, readings with blog posts, papers and other more specific, harder to find resources - create place to submit solutions - compare criterion to bench - move all links to ends of documents and explain in contributing.md - sort lines of links - how to find the names and descriptions of all lints - consider adding links to project source code somewhere - add note encouraging reading the rustfmt / rustclippy docs - replace "_Note: ..." with "_**Note**: ..." - describe in more depth the final product - put a reminder about building blocks at top of every project - add back-links in some non-intrusive way, somehow - to p1 just add a list of useful Rust cli tools! - sort deps in manifests - after p1 link first uses of crate names to docs.rs - say why we're doing each exercise or diversion - publishing on crates.io - critcmp # Future projects - 5 - use futures + http, use standard http bench tools - 6 - use async/await - 7 - use grpc - 8 - focus on data integrity - 9 - try to match performance of the production components - ? - streaming scan operation with lifetimes and streaming network api # survey - time to complete ================================================ FILE: courses/rust/docs/etc/parallel-diagrams.txt ================================================ Used in p4. Edited with asciiflow.com. --> read/write reqs over time --> --> read/write reqs over time --> thread thread + +--------+--------+--------+--------+ + +--------+ T1 | | R1 | R2 | W1 | W2 | T1 | | R1 | + +--------+--------+--------+--------+ | +-----------------+ T2 | | R2 | --> read/write reqs over time --> | +-----------------+ thread T3 | | W1 | + +--------+ | +-----------------+ T1 | | R1 | T4 | | W2 | | +--------+ + +--------+ T2 | | R2 | | +-----------------+ T3 | | W1 | --> read/write reqs over time --> | +-----------------+ thread T4 | | W2 | + +--------+ + +--------+ T1 | | R1 | | +--------+ --> read/write reqs over time --> T2 | | R2 | thread | +--------+ + +--------+ T3 | | W1 | T1 | | R1 | | +-----------------+ | +--------+ T4 | | W2 | T2 | | R2 | + +--------+ | +--------+ T3 | | W1 | | +--------+ T4 | | W2 | + +--------+ ================================================ FILE: courses/rust/docs/lesson-plan.md ================================================ # PNA Rust Lesson plan A training course about practical systems software construction in Rust. Over a series of projects, you will build a networked [key-value database][kv], with multithreading and asynchronous I/O. In between projects you will study and practice individual subjects necessary to complete the next project. Along the way you will explore multiple designs and their tradeoffs. See [README.md] for the overview, goals, audience, and prerequisites. - [Prerequisites](#user-content-prerequisites) - [Getting the materials](#user-content-getting-the-materials) - [Course structure](#user-content-course-structure) - [Getting help](#user-content-getting-help) - [Making PNA Rust Better](#user-content-making-pna-rust-better) - [Practical Networked Applications in Rust](#user-content-practical-networked-applications-in-rust) - [Building Blocks 1](#user-content-building-blocks-1) - [Project 1: The Rust toolbox](#user-content-project-1-the-rust-toolbox) - [Building Blocks 2](#user-content-building-blocks-2) - [Project 2: Log-structured file I/O](#user-content-project-2-log-structured-file-io) - [Building Blocks 3](#user-content-building-blocks-3) - [Project 3: Synchronous client-server networking](#user-content-project-3-synchronous-client-server-networking) - [Building Blocks 4](#user-content-building-blocks-4) - [Project 4: Concurrency and Parallelism](#user-content-project-4-concurrency-and-parallelism) - [Building Blocks 5](#user-content-building-blocks-5) - [Project 5: Asynchronous programming in Rust](#user-content-project-5-asynchronous-programming-in-rust) - [What next?](#user-content-what-next) ## Prerequisites As [described in the README.md][pre], this is not a course for novice programmers, and there are significant prerequisites. Ensure that you meet them all before proceeding. ## Getting the materials All material for this course is in the > https://github.com/pingcap/talent-plan git repository on GitHub, in the [`rust` subdirectory][rs]. You will want a copy of it on your local computer, particularly for easy access to the conformance tests for each project. ## Course structure The overall arc of the course is defined by a series of coding projects that incrementally introduce new subjects important to systems programming in Rust. Each project extends the previous project, so it is reasonable to simply start your work on each project in the same git repository where you left off on the previous (though you may want to add a [git tag] indicating where the previous project ended). [git tag]: https://git-scm.com/book/en/v2/Git-Basics-Tagging Because building an entire database from scratch while also learning all the concepts involved is a daunting task, each project is preceded by a "building blocks" section, where individual concepts are explored individually. These building blocks will consist of external readings, external programming problems, and other single-subject content. The building blocks sections are an opportunity to clear your mind, step away from the larger project, and focus your attention on learning and practicing a single subject in isolation. **Do not pass them up**. Each project builds on the last — the APIs, command-line interfaces, and parts of the implementation will often remain the same between projects, while you only integrate new features and improvements related to a project's subject matter. As such, it is ok to begin each project by copying your source code from the last. The projects live in the [`projects` subdirectory][psd], each in their own directories, and consist of a project description in `README.md`, and a Cargo project containing a complete example solution, and the project test suite. Each project comes with a test suite, and the project should not be considered finished until it passes with `cargo test`. **You should not read the example code for any project until completing the project yourself** — good learning requires trying on your own and failing, over and over until you succeed. You are encouraged though to learn from and apply techniques they contain to your own projects retroactively. Keep in mind though that the example projects are not the only way — or even the best way — to solve the problems. Trust yourself and your own creativity. You will receive further instruction about setting up the source code and test suite, as well as project specifications, as you progress through the individual projects. The expected time to complete each section is not currently well-estimated, but both "building blocks" and "project" will probably take hours, not days, with the projects taking more time. If you are spending much less time than that, or are spending more time, don't worry: these are just bad estimates, and everybody's experience is different. ## Getting help You will run into problems that you don't know how to solve. Don't suffer in silence. Everybody needs help sometimes. And fortunately the Rust community is amazing and welcoming, and wants to help you. As you are progressing through this course, you are _strongly_ encouraged to join the Rust community experience. Here are the resources you should consider turning to first: - The #rust-training channel on the [TiKV Slack]. This channel exists just for this course. Please consider joining to support your fellow students and other course-takers. There will always be someone there to answer questions, but there may be a delay due to time zones and other factors. Both English and Chinese languages are welcome here. - The `#beginners` channel on the official [Rust Discord]. You are almost guaranteed to get some answer here, and if not, don't hesitate to ask again. The people who hang out here are there specifically to help. Because of time zone differences it may take time for somebody to respond. Only English will be consistently understood here. - The QQ Rust group #1 ([QR code][qq]). For Chinese students, this is one of the major Rust communities in China. This is a great place to hang out generally, and for those unconfident in their English skills, a great place to ask for help. There are also WeChat groups, but with their low population caps and invite requirements, they are more difficult to deal with here. - The QQ Rust group #2 ([QR code][qq2]). Like the above. If group 1 is at capacity you can get into this one. These resources may also be helpful: - The official [users forum]. Apply the "help" tag to your post. Questions usually receive an answer here, but the responses can be limited. - [StackOverflow]. Apply the "rust" tag. You may or may not receive a satisfying answer. You are also welcome to email the primary author of this course, [Brian Anderson][brson], at brian@pingcap.com. I will happily answer questions, and am eager to hear your experience with the course. Finally, if there is a [Rust meetup] near you, go check it out. As a Rust programmer these groups are where you will build some of your strongest connections. (Note that that link goes to the old Rust website and may not be up to date). ## Making PNA Rust better As you work through the course content, please be on the lookout for things you would improve about the course, and either [submit issues][si] explaining, or [submit pull requests][spr] with improvements. (If you are being graded, accepted pull requests to this or any other repo used in the course _may_ count toward extra credit during final evaluation — let your instructor or evaluator know!). This is an opportunity to gain experience contributing to an open-source Rust project. Make this a better course for the next person to take it than it was for you. See [CONTRIBUTING.md] for more. ## Practical Networked Applications in Rust This is an outline of the course. Clicking each header will take you to the instructions for that section. ### [Building Blocks 1][b1] **Topics**: CLI programming, the cargo manifest and environment variables, documenting Rust projects. ### [Project 1: The Rust toolbox][p1] **Task**: Create an in-memory key/value store that passes simple tests and responds to command-line arguments. **Goals**: - Install the Rust compiler and tools - Learn the project structure used throughout this course - Use `cargo init` / `run` / `test` / `clippy` / `fmt` - Learn how to find and import crates from crates.io - Define an appropriate data type for a key-value store **Topics**: testing, the `clap` crate, `CARGO_VERSION` etc., the `clippy` and `rustfmt` tools. **Extensions**: the `structopt` crate. ### [Building Blocks 2][b2] **Topics**: log-structured file I/O, the bitcask algorithm, Rust error handling, comparing collection types. ### [Project 2: Log-structured file I/O][p2] **Task**: Create a persistent key/value store that can be accessed from the command line. **Goals**: - Handle and report errors robustly - Use serde for serialization - Write data to disk as a log using standard file APIs - Read the state of the key/value store from disk - Map in-memory key-indexes to on-disk values - Periodically compact the log to remove stale data **Topics**: log-structured file I/O, bitcask, the `failure` crate, `Read` / `Write` traits, the `serde` crate. ### [Building Blocks 3][b3] **Topics**: unstructured vs. structured logging, the Redis protocol, benchmarking. ### [Project 3: Synchronous client-server networking][p3] **Task**: Create a single-threaded, persistent key/value store server and client with synchronous networking over a custom protocol. **Goals**: - Create a client-server application - Write a custom protocol with `std` networking APIs - Introduce logging to the server - Implement pluggable backends with traits - Benchmark the hand-written backend against `sled` **Topics**: `std::net`, logging, traits, benchmarking. ### [Building Blocks 4][b4] **Topics**: multithreading, thread pools, aliasing and mutability, concurrent data types. ### [Project 4: Concurrency and parallelism][p4] **Task**: Create a multithreaded, persistent key/value store server and client with synchronous networking over a custom protocol. **Goals**: - Write a simple thread pool - Use channels for cross-thread communication - Share data structures with locks - Perform read operations without locks - Benchmark single-threaded vs multithreaded **Topics**: thread pools, channels, locks, lock-free data structures, atomics, parameterized benchmarking. ### Building Blocks 5 Coming soon! ([preview][b5]) ### Project 5: Asynchronous programming in Rust Coming soon! ([preview][p5]) ## What next? So you have completed Practical Networked Applications in Rust. That's a Rusty accomplishment! Now you are on the path to being a great Rust programmer. Want to know where to go next on that path? We've got [some ideas][n]. [b1]: ../building-blocks/bb-1.md [b2]: ../building-blocks/bb-2.md [b3]: ../building-blocks/bb-3.md [b4]: ../building-blocks/bb-4.md [b5]: ../building-blocks/bb-5.md [p1]: ../projects/project-1/README.md [p2]: ../projects/project-2/README.md [p3]: ../projects/project-3/README.md [p4]: ../projects/project-4/README.md [p5]: ../projects/project-5/README.md [CONTRIBUTING.md]: ../CONTRIBUTING.md [README.md]: ../README.md [Rust Discord]: https://discord.gg/rust-lang [Rust meetup]: https://www.meetup.com/topics/rust [StackOverflow]: https://stackoverflow.com/questions/tagged/rust [TiKV Slack]: https://join.slack.com/t/tikv-wg/shared_invite/enQtNTUyODE4ODU2MzI0LWVlMWMzMDkyNWE5ZjY1ODAzMWUwZGVhNGNhYTc3MzJhYWE0Y2FjYjliYzY1OWJlYTc4OWVjZWM1NDkwN2QxNDE [author]: https://github.com/brson/ [brson]: https://github.com/brson/ [kv]: https://en.wikipedia.org/wiki/Key-value_database [pre]: ../README.md#user-content-prerequisites [psd]: https://github.com/pingcap/talent-plan/tree/master/courses/rust/projects [qq]: ./qq-qr.jpg [qq2]: ./qq2-qr.jpg [rs]: https://github.com/pingcap/talent-plan/tree/master/courses/rust [si]: https://github.com/pingcap/talent-plan/issues [spr]: https://github.com/pingcap/talent-plan/pulls [users forum]: https://users.rust-lang.org/ [n]: ./what-next.md ================================================ FILE: courses/rust/docs/prerequisites.md ================================================ # PNA Rust Prerequisites Don't meet all the [prerequisites][pre] to take this course? Here are some ideas for how to proceed. * A crash course on Rust by Michael Snoyman (Oct 2018) - [blog series][snoyman-blog] | [print friendly][snoyman-html] [pre]: ../README.md#user-content-prerequisites [snoyman-blog]: https://www.snoyman.com/blog/2018/10/introducing-rust-crash-course [snoyman-html]: https://www.snoyman.com/series/rust-crash-course ================================================ FILE: courses/rust/docs/roadmap.md ================================================ # PNA Rust Roadmap We've got a lot of ideas about how to extend and expand this course. But the roadmap isn't written yet. In the meantime, [notes.md] contains a bunch of unorganized thoughts about the matter. [notes.md]: ./etc/notes.md ================================================ FILE: courses/rust/docs/what-next.md ================================================ # What's next now that you've completed PNA Rust? Coming soon! ================================================ FILE: courses/rust/projects/project-1/Cargo.toml ================================================ [package] name = "kvs" version = "0.1.0" authors = ["Yilin Chen "] description = "A key-value store" edition = "2018" [dependencies] clap = "2.32.0" [dev-dependencies] assert_cmd = "0.11.0" predicates = "1.0.0" ================================================ FILE: courses/rust/projects/project-1/README.md ================================================ # PNA Rust Project 1: The Rust toolbox **Task**: Create an in-memory key/value store that passes simple tests and responds to command-line arguments. **Goals**: - Install the Rust compiler and tools - Learn the project structure used throughout this course - Use `cargo init` / `run` / `test` / `clippy` / `fmt` - Learn how to find and import crates from crates.io - Define an appropriate data type for a key-value store **Topics**: testing, the `clap` crate, `CARGO_VERSION` etc., the `clippy` and `rustfmt` tools. **Extensions**: the `structopt` crate. - [Introduction](#user-content-introduction) - [Project spec](#user-content-project-spec) - [Installation](#user-content-installation) - [Project setup](#user-content-project-setup) - [Part 1: Make the tests compile](#user-content-part-1-make-the-tests-compile) - [Aside: Testing tips](#user-content-aside-testing-tips) - [Part 2: Accept command line arguments](#user-content-part-2-accept-command-line-arguments) - [Part 3: Cargo environment variables](#user-content-part-3-cargo-environment-variables) - [Part 4: Store values in memory](#user-content-part-4-store-values-in-memory) - [Part 5: Documentation](#user-content-part-5-documentation) - [Part 6: Ensure good style with `clippy` and `rustfmt`](#user-content-part-6-ensure-good-style-with-clippy-and-rustfmt) - [Extension 1: `structopt`](#user-content-extension-1-structopt) ## Introduction In this project you will create a simple in-memory key/value store that maps strings to strings, and that passes some tests and responds to command line arguments. The focus of this project is on the tooling and setup that goes into a typical Rust project. If this sounds basic to you, please do the project anyway as it discusses some general patterns that will be used throughout the course. ## Project spec The cargo project, `kvs`, builds a command-line key-value store client called `kvs`, which in turn calls into a library called `kvs`. The `kvs` executable supports the following command line arguments: - `kvs set ` Set the value of a string key to a string - `kvs get ` Get the string value of a given string key - `kvs rm ` Remove a given key - `kvs -V` Print the version The `kvs` library contains a type, `KvStore`, that supports the following methods: - `KvStore::set(&mut self, key: String, value: String)` Set the value of a string key to a string - `KvStore::get(&self, key: String) -> Option` Get the string value of the a string key. If the key does not exist, return `None`. - `KvStore::remove(&mut self, key: String)` Remove a given key. The `KvStore` type stores values in-memory, and thus the command-line client can do little more than print the version. The `get`/ `set` / `rm` commands will return an "unimplemented" error when run from the command line. Future projects will store values on disk and have a working command line interface. ## Installation At this point in your Rust programming experience you should know how to install Rust via [rustup]. [rustup]: https://www.rustup.rs If you haven't already, do so now by running ``` curl https://sh.rustup.rs -sSf | sh ``` (If you are running Windows then follow the instructions on rustup.rs. Note though that you will face more challenges than others during this course, as it was developed on Unix. In general, Rust development on Windows is a less polished experience than on Unix). Verify that the toolchain works by typing `rustc -V`. If that doesn't work, log out and log in again so that changes to the login profile made during installation can take effect. ## Project setup You will do the work for this project in your own git repository, with your own Cargo project. You will import the test cases for the project from the [source repository for this course][course]. [course]: https://github.com/pingcap/talent-plan Note that within that repository, all content related to this course is within the `rust` subdirectory. You may ignore any other directories. The projects in this course contain both libraries and executables. They are executables because we are developing an application that can be run. They are libraries because the supplied test cases must link to them. We'll use the same setup for each project in this course. The directory layout we will use is: ``` ├── Cargo.toml ├── src │   ├── bin │   │   └── kvs.rs │   └── lib.rs └── tests └── tests.rs ``` The `Cargo.toml`, `lib.rs` and `kvs.rs` files look as follows: `Cargo.toml`: ```toml [package] name = "kvs" version = "0.1.0" authors = ["Brian Anderson "] description = "A key-value store" edition = "2018" ``` `lib.rs`: ```rust // just leave it empty for now ``` `kvs.rs`: ```rust fn main() { println!("Hello, world!"); } ``` The author should be yourself, but the name needs to be `kvs` in order for the test cases to work. That's because the project name is also the name of the library it contains. Likewise the name of the binary (the command line application) needs to be `kvs`. In the above setup it will be `kvs` implicitly based on the file name, but you could name the file whatever you wanted by putting the appropriate information in the manifest (`Cargo.toml`). You may set up this project with `cargo new --lib`, `cargo init --lib` (in a clean directory), or manually. You'll probably also want to initialize a git repository in the same directory. Finally, the `tests` directory is copied from the course materials. In this case, copy from the course repository the file `rust/projects/project-1/tests` into your own repository, as `tests`. At this point you should be able to run the program with `cargo run`. _Try it now._ You are set up for this project and ready to start hacking. ## Part 1: Make the tests compile You've been provided with a suite of unit tests in `tests/tests.rs`. Open it up and take a look. _Try to run the tests with `cargo test`._ What happens? Why? Your first task for this project is to make the tests _compile_. Fun! If your project is like mine you probably saw a huge spew of build errors. Look at the first few. In general, when you see a bunch of errors, the first are the most important — `rustc` will keep trying to compile even after hitting errors, so errors can cascade, the later ones being pretty meaningless. Your first few errors probably look like: ``` error[E0433]: failed to resolve: use of undeclared type or module `assert_cmd` --> tests/tests.rs:1:5 | 1 | use assert_cmd::prelude::*; | ^^^^^^^^^^ use of undeclared type or module `assert_cmd` error[E0432]: unresolved import --> tests/tests.rs:3:5 | 3 | use predicates::str::contains; | ^^^^^^^^^^^^^^^^^^^^^^^^^ ``` (If you are seeing something else, please file an issue). These two errors are quite hard to diagnose to a new Rust programmer so I'll just tell you what's going on here: you are missing [dev-dependency] crates in your manifest. [dev-dependency]: https://doc.rust-lang.org/cargo/reference/specifying-dependencies.html#development-dependencies For this project your `Cargo.toml` file needs to contain these lines: ```toml [dev-dependencies] assert_cmd = "0.11.0" predicates = "1.0.0" ``` The details of these dependencies are not important to you completing the project, but you might want to investigate them on your own. We didn't tell you about the need for dev-deps earlier just so you would experience these errors yourself. In future projects, the setup text will tell you the dev-deps you need. One quick note: how can you figure out that these errors are due to missing dependencies in your manifest and not due to errors in your source code? Here's one big clue, from the error shown previously: ``` 1 | use assert_cmd::prelude::*; | ^^^^^^^^^^ use of undeclared type or module `assert_cmd` ``` In `use` statements the first path element is always the name of a crate. The exception to this is when the first path element references a name that was previously brought into scope with _another_ `use` statement. In other words, if there had been another `use` statement in this file like `use foo::assert_cmd`, then use `assert_cmd::prelude::*` would refer to _that_ `assert_cmd`. There is more that could be said about this but we shouldn't go deeper into the nuances of path resolution here. Just know that, in general, in a `use` statement, if the first element in the path isn't found (i.e. cannot be resolved), the problem is probably that the crate hasn't been named in the manifest. Whew. That is an unfortunate diversion in the very first project. But hopefully instructive. _Go ahead and add the appropriate dev-deps to your manifest._ Try again to run the tests with `cargo test`. What happens? Why? Hopefully those _previous_ errors are gone. Now the errors are all about the test cases not being able to find all the code it expects in your own code. _So now your task is to outline all the types, methods, etc. necessary to make the tests build._ During this course you will read the test cases a lot. The test cases tell you exactly what is expected of your code. If the text and the tests don't agree, the tests are right (file a bug!). This is true in the real world too. The test cases demonstrate what the software _actually_ does. They are reality. Get used to reading test cases. And, bonus — test cases are often the poorest-written code in any project, sloppy and undocumented. Again, try to run the tests with `cargo test`. What happens? Why? In `src/lib.rs` write the type and method definitions necessary to make `cargo test --no-run` complete successfully. Don't write any method bodies yet — instead write `panic!()`. This is the way to sketch out your APIs without knowing or caring about the implementation (there's also the [`unimplemented!`] macro, but since typing it is longer, it's common to simply use `panic!`, a possible exception being if you are releasing software that contains unimplemented methods). [`unimplemented!`]: https://doc.rust-lang.org/std/macro.unimplemented.html _Do that now before moving on._ Once that is done, if you run `cargo test` (without `--no-run`), you should see that some of your tests are failing, like ``` Finished dev [unoptimized + debuginfo] target(s) in 2.32s Running target/debug/deps/kvs-b03a01e7008067f6 running 0 tests test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out Running target/debug/deps/kvs-a3b5a004932c6715 running 0 tests test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out Running target/debug/deps/tests-5e1c2e20bd1fa377 running 13 tests test cli_get ... FAILED test cli_invalid_get ... FAILED test cli_invalid_rm ... FAILED test cli_invalid_set ... FAILED test cli_no_args ... FAILED test cli_invalid_subcommand ... FAILED ... more lines of spew ... ``` ... followed by many more lines. That's great! That's all we need right now. You'll make those pass throughout the rest of this project. ### Aside: Testing tips If you look again at the output from `cargo test` you'll see something interesting: ``` Running target/debug/deps/kvs-b03a01e7008067f6 running 0 tests test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out Running target/debug/deps/kvs-a3b5a004932c6715 running 0 tests test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out Running target/debug/deps/tests-5e1c2e20bd1fa377 running 13 tests test cli_get ... FAILED ``` Cargo says "Running ..." three times. And the first two of those times it in fact did not run any tests. And furthermore, if all those tests hadn't failed, cargo would have run _yet another_ set of tests. Why is this? Well, it is because there are many places you can write tests in Rust: - Inside the source of your library - Inside the source of each of your binaries - Inside each test file - In the doc comments of your library And cargo doesn't know which of these actually contain tests, so it just builds and runs them all. So those two sets of empty tests: ``` Running target/debug/deps/kvs-b03a01e7008067f6 running 0 tests Running target/debug/deps/kvs-a3b5a004932c6715 running 0 tests ``` Well, this is a bit confusing, but one of them is your library, compiled for testing, and the other is your binary, compiled for testing. Neither contains any tests. The reason both have "kvs" in their names is because both your library and your binary are called "kvs". All this test spew gets annoying, and there are two ways to quiet cargo: with command line arguments, and with changes to the manifest. Here are the relevant command line flags: - `cargo test --lib` — test just the tests inside the library - `cargo test --doc` — test the doc tests in the library - `cargo test --bins` — test all the bins in the project - `cargo test --bin foo` — test just the `foo` bin - `cargo test --test foo` — test the tests in test file `foo` These are convenient to quickly hide test spew, but if a project doesn't contain a type of tests it's probably best to just never deal with them. If you recall from The Cargo Book's [manifest description][m], there are two keys that can be applied: `test = false` and `doctest = false`. They go in the `[lib]` and `[[bin]]` sections. Consider updating your manifest. [m]: https://doc.rust-lang.org/cargo/reference/manifest.html Another quick thing to do if you haven't before. Run this: ``` cargo test -- --help ``` Just do it. It's cool. What you are seeing there is the help information for _the executable containing your compiled tests_ (that `--` surrounded by spaces tells cargo to pass all following arguments to the test binary). It's not the same info displayed when you run `cargo test --help`. They are two different things: cargo is running your test bin by passing it all these various arguments. If you want you can do exactly the same thing. Let's go back one more time to our `cargo test` example. We saw this line: ``` Running target/debug/deps/kvs-b03a01e7008067f6 ``` That's cargo telling you the name of the test binary. You can run it yourself, like `target/debug/deps/kvs-b03a01e7008067f6 --help`. The `target` directory contains lots of cool stuff. Digging through it can teach you a lot about what the Rust toolchain is actually doing. In practice, particularly with large projects, you won't run the entire test suite while developing a single feature. To narrow down the set of tests to the ones we care about, run the following: ``` cargo test cli_no_args ``` This will run the test called `cli_no_args`. In fact, it will run any test containing `cli_no_args` in the name, so if, e.g., you want to run all the CLI tests, you can run `cargo test cli`. That's probably how you will be running the tests yourself as you work through the project, otherwise you will be distracted by the many failing tests that you have not yet fixed. Unfortunately that pattern is a simple substring match, not something fancy like a regular expression. Note that, as of this writing, the test cases for the projects in this course are not organized in a way that makes it clear which test cases should complete for any particular section of a project — only that by the end the entire suite should pass. You'll need to read the names and implementations of the tests to figure out which you _think_ should pass at any particular time. ## Part 2: Accept command line arguments The key / value stores throughout this course are all controlled through a command-line client. In this project the command-line client is very simple because the state of the key-value store is only stored in memory, not persisted to disk. In this part you will make the `cli_*` test cases pass. Recall how to run individual test cases from previous sections of Again, the interface for the CLI is: - `kvs set ` Set the value of a string key to a string - `kvs get ` Get the string value of a given string key - `kvs rm ` Remove a given key - `kvs -V` Print the version In this iteration though, the `get` and `set` commands will print to stderr the string, "unimplemented", and exiting with a non-zero exit code, indicating an error. You will use the `clap` crate to handle command-line arguments. _Find the latest version of the `clap` crate and add it to your dependencies in `Cargo.toml`._ There are a number of ways to find and import a crate, but pro-tip: check out the built-in [`cargo search`] and the plug-in [`cargo edit`]. [`cargo search`]: https://doc.rust-lang.org/cargo/commands/cargo-search.html [`cargo edit`]: https://github.com/killercup/cargo-edit Next use [crates.io], [lib.rs], or [docs.rs] to find the documentation for the `clap` crate, and implement the command line interface such that the `cli_*` test cases pass. When you are testing, use `cargo run`; do not run the executable directly from the `target/` directory. When passing arguments to the program, separate them from the `cargo run` command with two dashes, `--`, like `cargo run -- get key1`. [crates.io]: https://crates.io [lib.rs]: https://lib.rs [docs.rs]: https://docs.rs ## Part 3: Cargo environment variables When you set up `clap` to parse your command line arguments, you probably set the name, version, authors, and description (if not, do so). This information is redundant w/ values provided in `Cargo.toml`. Cargo sets environment variables that can be accessed through Rust source code, at build time. _Modify your `clap` setup to set these values from standard cargo environment variables._ ## Part 4: Store values in memory Now that your command line scaffolding is done, let's turn to the implementation of `KvStore`, and make the remaining test cases pass. The behavior of `KvStore`'s methods are fully-defined through the test cases themselves — you don't need any further description to complete the code for this project. _Make the remaining test cases pass by implementing methods on `KvStore`._ ## Part 5: Documentation You have implemented the project's functionality, but there are still a few more things to do before it is a polished piece of Rust software, ready for contributions or publication. First, public items should generally have doc comments. Doc comments are displayed in a crate's API documentation. API documentation can be generated with the command, `cargo doc`, which will render them as HTML to the `target/doc` folder. Note though that `target/doc` folder does not contain an `index.html`. In this project, your crate's documentation will be located at `target/doc/kvs/index.html`. You can launch a web browser at that location with `cargo doc --open`. `cargo doc --open` doesn't always work, e.g. if you are ssh'd into a cloud instance. If it doesn't though the command will print the name of the html file it couldn't open — useful simply for finding the location of your API docs. [Good doc comments][gdc] do not just repeat the name of the function, nor repeat information gathered from the type signature. They explain why and how one would use a function, what the return value is on both success and failure, error and panic conditions. The library you have written is very simple so the documentation can be simple as well. If you truly cannot think of anything useful to add through doc comments then it can be ok to not add a doc comment (this is a matter of preference). With no doc comments it should be obvious how the type or function is used from the name and type signature alone. Doc comments contain examples, and those examples can be tested with `cargo test --doc`. _Add `#![deny(missing_docs)]` to the top of `src/lib.rs` to enforce that all public items have doc comments. Then add doc comments to the types and methods in your library. Follow the [documentation guidelines][gdc]. Give each an example and make sure they pass `cargo test --doc`._ [gdc]: https://rust-lang-nursery.github.io/api-guidelines/documentation.html ## Part 6: Ensure good style with `clippy` and `rustfmt` [`clippy`] and [`rustfmt`] are tools for enforcing common Rust style. `clippy` helps ensure that code uses modern idioms, and prevents patterns that commonly lead to errors. `rustfmt` enforces that code is formatted consistently. It's not necessary right now, but you might click those links and read their documentation. They are both sophisticated tools capable of much more than described below. [`clippy`]: https://github.com/rust-lang/rust-clippy [`rustfmt`]: https://github.com/rust-lang/rustfmt Both tools are included in the Rust toolchain, but not installed by default. They can be installed with the following [`rustup`] commands: ``` rustup component add clippy rustup component add rustfmt ``` [`rustup`]: https://github.com/rust-lang/rustup.rs/blob/master/README.md _Do that now._ Both tools are invoked as cargo subcommands, `clippy` as `cargo clippy` and `rustfmt` as `cargo fmt`. Note that `cargo fmt` modifies your source code, so commit your work before making before running it to avoid accidentally making unwanted changes, after which you can either include the changes as part of the previous commit with `git commit --amend`. Or just commit them as their own formatting commit — it's common to rust both `clippy` and `rustfmt` after a series of commits, e.g. before submitting a pull request. _Run `cargo clippy` against your project and make any suggested changes. Run `cargo fmt` against your project and commit any changes it makes._ It's worth reading the [`rustup`], [`clippy`], and [`rustfmt`] documentation, as these are tools you will be using frequently. Congratulations, you are done with your first project! If you like you may complete the remaining "extensions". They are optional. Nice coding, friend. Enjoy a nice break. --- ## Extension 1: `structopt` In this project we used `clap` to parse command line arguments. It's typical to represent a program's parsed command line arguments as a struct, perhaps named `Config` or `Options`. Doing so requires calling the appropriate methods on `clap`'s `ArgMatches` type. Both steps, for larger programs, require _a lot_ of boilerplate code. The `structopt` crate greatly reduces boilerplate by allowing you to define a `Config` struct, annotated to automatically produce a `clap` command line parser that produces that struct. Some find this approach nicer than writing the `clap` code explicitly. _Modify your program to use `structopt` for parsing command line arguments instead of using `clap` directly._ ================================================ FILE: courses/rust/projects/project-1/src/bin/kvs.rs ================================================ use clap::{App, AppSettings, Arg, SubCommand}; use std::process::exit; fn main() { let matches = App::new(env!("CARGO_PKG_NAME")) .version(env!("CARGO_PKG_VERSION")) .author(env!("CARGO_PKG_AUTHORS")) .about(env!("CARGO_PKG_DESCRIPTION")) .setting(AppSettings::DisableHelpSubcommand) .setting(AppSettings::SubcommandRequiredElseHelp) .setting(AppSettings::VersionlessSubcommands) .subcommand( SubCommand::with_name("set") .about("Set the value of a string key to a string") .arg(Arg::with_name("KEY").help("A string key").required(true)) .arg( Arg::with_name("VALUE") .help("The string value of the key") .required(true), ), ) .subcommand( SubCommand::with_name("get") .about("Get the string value of a given string key") .arg(Arg::with_name("KEY").help("A string key").required(true)), ) .subcommand( SubCommand::with_name("rm") .about("Remove a given key") .arg(Arg::with_name("KEY").help("A string key").required(true)), ) .get_matches(); match matches.subcommand() { ("set", Some(_matches)) => { eprintln!("unimplemented"); exit(1); } ("get", Some(_matches)) => { eprintln!("unimplemented"); exit(1); } ("rm", Some(_matches)) => { eprintln!("unimplemented"); exit(1); } _ => unreachable!(), } } ================================================ FILE: courses/rust/projects/project-1/src/kv.rs ================================================ use std::collections::HashMap; /// The `KvStore` stores string key/value pairs. /// /// Key/value pairs are stored in a `HashMap` in memory and not persisted to disk. /// /// Example: /// /// ```rust /// # use kvs::KvStore; /// let mut store = KvStore::new(); /// store.set("key".to_owned(), "value".to_owned()); /// let val = store.get("key".to_owned()); /// assert_eq!(val, Some("value".to_owned())); /// ``` #[derive(Default)] pub struct KvStore { map: HashMap, } impl KvStore { /// Creates a `KvStore`. pub fn new() -> KvStore { KvStore { map: HashMap::new(), } } /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. pub fn set(&mut self, key: String, value: String) { self.map.insert(key, value); } /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. pub fn get(&self, key: String) -> Option { self.map.get(&key).cloned() } /// Remove a given key. pub fn remove(&mut self, key: String) { self.map.remove(&key); } } ================================================ FILE: courses/rust/projects/project-1/src/lib.rs ================================================ #![deny(missing_docs)] //! A simple key/value store. pub use kv::KvStore; mod kv; ================================================ FILE: courses/rust/projects/project-1/tests/tests.rs ================================================ use assert_cmd::prelude::*; use kvs::KvStore; use predicates::str::contains; use std::process::Command; // `kvs` with no args should exit with a non-zero code. #[test] fn cli_no_args() { Command::cargo_bin("kvs").unwrap().assert().failure(); } // `kvs -V` should print the version #[test] fn cli_version() { Command::cargo_bin("kvs") .unwrap() .args(&["-V"]) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } // `kvs get ` should print "unimplemented" to stderr and exit with non-zero code #[test] fn cli_get() { Command::cargo_bin("kvs") .unwrap() .args(&["get", "key1"]) .assert() .failure() .stderr(contains("unimplemented")); } // `kvs set ` should print "unimplemented" to stderr and exit with non-zero code #[test] fn cli_set() { Command::cargo_bin("kvs") .unwrap() .args(&["set", "key1", "value1"]) .assert() .failure() .stderr(contains("unimplemented")); } // `kvs rm ` should print "unimplemented" to stderr and exit with non-zero code #[test] fn cli_rm() { Command::cargo_bin("kvs") .unwrap() .args(&["rm", "key1"]) .assert() .failure() .stderr(contains("unimplemented")); } #[test] fn cli_invalid_get() { Command::cargo_bin("kvs") .unwrap() .args(&["get"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["get", "extra", "field"]) .assert() .failure(); } #[test] fn cli_invalid_set() { Command::cargo_bin("kvs") .unwrap() .args(&["set"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["set", "missing_field"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["set", "extra", "extra", "field"]) .assert() .failure(); } #[test] fn cli_invalid_rm() { Command::cargo_bin("kvs") .unwrap() .args(&["rm"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["rm", "extra", "field"]) .assert() .failure(); } #[test] fn cli_invalid_subcommand() { Command::cargo_bin("kvs") .unwrap() .args(&["unknown", "subcommand"]) .assert() .failure(); } // Should get previously stored value #[test] fn get_stored_value() { let mut store = KvStore::new(); store.set("key1".to_owned(), "value1".to_owned()); store.set("key2".to_owned(), "value2".to_owned()); assert_eq!(store.get("key1".to_owned()), Some("value1".to_owned())); assert_eq!(store.get("key2".to_owned()), Some("value2".to_owned())); } // Should overwrite existent value #[test] fn overwrite_value() { let mut store = KvStore::new(); store.set("key1".to_owned(), "value1".to_owned()); assert_eq!(store.get("key1".to_owned()), Some("value1".to_owned())); store.set("key1".to_owned(), "value2".to_owned()); assert_eq!(store.get("key1".to_owned()), Some("value2".to_owned())); } // Should get `None` when getting a non-existent key #[test] fn get_non_existent_value() { let mut store = KvStore::new(); store.set("key1".to_owned(), "value1".to_owned()); assert_eq!(store.get("key2".to_owned()), None); } #[test] fn remove_key() { let mut store = KvStore::new(); store.set("key1".to_owned(), "value1".to_owned()); store.remove("key1".to_owned()); assert_eq!(store.get("key1".to_owned()), None); } ================================================ FILE: courses/rust/projects/project-2/Cargo.toml ================================================ [package] name = "kvs" version = "0.1.0" authors = ["Yilin Chen "] description = "A key-value store" edition = "2018" [dependencies] clap = "2.32.0" failure = "0.1.5" serde = { version = "1.0.89", features = ["derive"] } serde_json = "1.0.39" [dev-dependencies] assert_cmd = "0.11.0" predicates = "1.0.0" tempfile = "3.0.7" walkdir = "2.2.7" ================================================ FILE: courses/rust/projects/project-2/README.md ================================================ # PNA Rust Project 2: Log-structured file I/O **Task**: Create a _persistent_ key/value store that _can be accessed from the command line_. **Goals**: - Handle and report errors robustly - Use serde for serialization - Write data to disk as a log using standard file APIs - Read the state of the key/value store from disk - Map in-memory key-indexes to on-disk values - Periodically compact the log to remove stale data **Topics**: log-structured file I/O, bitcask, the `failure` crate, `Read` / `Write` traits, the `serde` crate. - [Introduction](#user-content-introduction) - [Terminology](#user-content-terminology) - [Project spec](#user-content-project-spec) - [Project setup](#user-content-project-setup) - [Part 1: Error handling](#user-content-part-1-error-handling) - [Part 2: How the log behaves](#user-content-part-2-how-the-log-behaves) - [Part 3: Writing to the log](#user-content-part-3-writing-to-the-log) - [Part 4: Reading from the log](#user-content-part-4-reading-from-the-log) - [Part 5: Storing log pointers in the index](#user-content-part-5-storing-log-pointers-in-the-index) - [Part 6: Stateless vs. stateful `KvStore`](#user-content-part-6-stateless-vs-stateful-kvstore) - [Part 7: Compacting the log](#user-content-part-7-compacting-the-log) ## Introduction In this project you will create a simple on-disk key/value store that can be modified and queried from the command line. It will use a simplification of the storage algorithm used by [bitcask], chosen for its combination of simplicity and effectiveness. You will start by maintaining a _log_ (sometimes called a ["write-ahead log"][wal] or "WAL") on disk of previous write commands that is evaluated on startup to re-create the state of the database in memory. Then you will extend that by storing only the keys in memory, along with offsets into the on-disk log. Finally, you will introduce log compaction so that it does not grow indefinitely. At the end of this project you will have built a simple, but well-architected database using Rust file APIs. [wal]: https://en.wikipedia.org/wiki/Write-ahead_logging [bitcask]: https://github.com/basho/bitcask ## Terminology Some terminology we will use in this course. It is the same as or inspired by [bitcask]. Different databases will have slightly different terminology. - _command_ - A request or the representation of a request made to the database. These are issued on the command line or over the network. They have an in-memory representation, a textual representation, and a machine-readable serialized representation. - _log_ - An on-disk sequence of commands, in the order originally received and executed. Our database's on-disk format is almost entirely made up of logs. It will be simple, but also surprisingly efficient. - _log pointer_ - A file offset into the log. Sometimes we'll just call this a "file offset". - _log compaction_ - As writes are issued to the database they sometimes invalidate old log entries. For example, writing key/value `a = 0` then writing `a = 1`, makes the first log entry for "a" useless. Compaction — in our database at least — is the process of reducing the size of the database by remove stale commands from the log. - _in-memory index_ (or _index_) - A map of keys to log pointers. When a read request is issued, the in-memory index is searched for the appropriate log pointer, and when it is found the value is retrieved from the on-disk log. In our key/value store, like in bitcask, the index for the _entire database_ is stored in memory. - _index file_ - The on-disk representation of the in-memory index. Without this the log would need to be completely replayed to restore the state of the in-memory index each time the database is started. ## Project spec The cargo project, `kvs`, builds a command-line key-value store client called `kvs`, which in turn calls into a library called `kvs`. The `kvs` executable supports the following command line arguments: - `kvs set ` Set the value of a string key to a string. Print an error and return a non-zero exit code on failure. - `kvs get ` Get the string value of a given string key. Print an error and return a non-zero exit code on failure. - `kvs rm ` Remove a given key. Print an error and return a non-zero exit code on failure. - `kvs -V` Print the version The `kvs` library contains a type, `KvStore`, that supports the following methods: - `KvStore::set(&mut self, key: String, value: String) -> Result<()>` Set the value of a string key to a string. Return an error if the value is not written successfully. - `KvStore::get(&mut self, key: String) -> Result>` Get the string value of a string key. If the key does not exist, return `None`. Return an error if the value is not read successfully. - `KvStore::remove(&mut self, key: String) -> Result<()>` Remove a given key. Return an error if the key does not exist or is not removed successfully. - `KvStore::open(path: impl Into) -> Result` Open the KvStore at a given path. Return the KvStore. When setting a key to a value, `kvs` writes the `set` command to disk in a sequential log, then stores the log pointer (file offset) of that command in the in-memory index from key to pointer. When removing a key, similarly, `kvs` writes the `rm` command in the log, then removes the key from the in-memory index. When retrieving a value for a key with the `get` command, it searches the index, and if found then loads from the log the command at the corresponding log pointer, evaluates the command and returns the result. On startup, the commands in the log are traversed from oldest to newest, and the in-memory index rebuilt. When the size of the uncompacted log entries reach a given threshold, `kvs` compacts it into a new log, removing redundent entries to reclaim disk space. Note that our `kvs` project is both a stateless command-line program, and a library containing a stateful `KvStore` type: for CLI use the `KvStore` type will load the index, execute the command, then exit; for library use it will load the index, then execute multiple commands, maintaining the index state, until it is dropped. ## Project setup Continuing from your previous project, delete your previous `tests` directory and copy this project's `tests` directory into its place. Like the previous project, this project should contain a library and an executable, both named `kvs`. You need the following dev-dependencies in your `Cargo.toml`: ```toml [dev-dependencies] assert_cmd = "0.11.0" predicates = "1.0.0" tempfile = "3.0.7" walkdir = "2.2.7" ``` As with the previous project, go ahead and write enough empty or panicking definitions to make the test cases build. _Do that now._ ## Part 1: Error handling In this project it will be possible for the code to fail due to I/O errors. So before we get started implementing a database we need to do one more thing that is crucial to Rust projects: decide on an error handling strategy. Rust's error handling is powerful, but involves a lot of boilerplate to use correctly. For this project the [`failure`] crate will provide the tools to easily handle errors of all kinds. [`failure`]: https://docs.rs/failure/0.1.5/failure/ The [failure guide][fg] describes [several] error handling patterns. [fg]: https://boats.gitlab.io/failure/ [several]: https://boats.gitlab.io/failure/guidance.html Pick one of those strategies and, in your library, either define your own error type or import `failure`s `Error`. This is the error type you will use in all of your `Result`s, converting error types from other crates to your own with the `?` operator. After that, define a type alias for `Result` that includes your concrete error type, so that you don't need to type `Result` everywhere, but can simply type `Result`. This is a common Rust pattern. Finally, import those types into your executable with `use` statements, and change `main`s function signature to return `Result<()>`. All functions in your library that may fail will pass these `Results` back down the stack all the way to `main`, and then to the Rust runtime, which will print an error. Run `cargo check` to look for compiler errors, then fix them. For now it's ok to end `main` with `panic!()` to make the project build. _Set up your error handling strategy before continuing._ As with the previous project, you'll want to create placeholder data structures and methods so that the tests compile. Now that you have defined an error type this should be straightforward. Add panics anywhere necessary to get the test suite to compile (`cargo test --no-run`). _Note: Error-handling practices in Rust are still evolving. This course currently uses the [`failure`] crate to make defining error types easier. While `failure` has a good design, its use is [arguably not a best practice][nbp]. It may not continue to be viewed favorably by Rust experts. Future iterations of the course will likely not use `failure`. In the meantime, it is fine, and presents an opportunity to learn more of the history and nuance of Rust error handling._ [nbp]: https://github.com/rust-lang-nursery/rust-cookbook/issues/502#issue-387418261 ## Part 2: How the log behaves Now we are finally going to begin implementing the beginnings of a real database by reading and writing from disk. You will use [`serde`] to serialize the "set" and "rm" commands to a string, and the standard file I/O APIs to write it to disk. [`serde`]: https://serde.rs/ This is the basic behavior of `kvs` with a log: - "set" - The user invokes `kvs set mykey myvalue` - `kvs` creates a value representing the "set" command, containing its key and value - It then serializes that command to a `String` - It then appends the serialized command to a file containing the log - If that succeeds, it exits silently with error code 0 - If it fails, it exits by printing the error and returning a non-zero error code - "get" - The user invokes `kvs get mykey` - `kvs` reads the entire log, one command at a time, recording the affected key and file offset of the command to an in-memory _key -> log pointer_ map - It then checks the map for the log pointer - If it fails, it prints "Key not found", and exits with exit code 0 - If it succeeds - It deserializes the command to get the last recorded value of the key - It prints the value to stdout and exits with exit code 0 - "rm" - The user invokes `kvs rm mykey` - Same as the "get" command, `kvs` reads the entire log to build the in-memory index - It then checks the map if the given key exists - If the key does not exist, it prints "Key not found", and exits with a non-zero error code - If it succeeds - It creates a value representing the "rm" command, containing its key - It then appends the serialized command to the log - If that succeeds, it exits silently with error code 0 The log is a record of the transactions committed to the database. By "replaying" the records in the log on startup we reconstruct the previous state of the database. In this iteration you may store the value of the keys directly in memory (and thus never read from the log after initial startup and log replay). In a future iteration you will store only "log pointers" (file offsets) into the log. ## Part 3: Writing to the log You will start by implementing the "set" flow. There are a number of steps here. Most of them are straightforward to implement and you can verify you've done so by running the appropriate `cli_*` test cases. `serde` is a large library, with many options, and supporting many serialization formats. Basic serialization and deserialization only requires annotating your data structure correctly, and calling a function to write it either to a `String` or a stream implementing `Write`. You need to pick a serialization format. Think about the properties you want in your serialization format — do you want to prioritize performance? Do you want to be able to read the content of the log in plain text? It's your choice, but maybe you should include a comment in the code explaining it. Other things to consider include: where is the system performing buffering and where do you need buffering? What is the impact of buffering on subsequent reads? When should you open and close file handles? For each command? For the lifetime of the `KvStore`? Some of the APIs you will call may fail, and return a `Result` of some error type. Make sure that your calling functions return a `Result` of _your own_ error type, and that you convert between the two with `?`. It is similar to implementing the "rm" command, but you should additionally check if the key exists before writing the command to the log. As we have two different commands that must be distinguished, you may use variants of a single enum type to represent each command. `serde` just works perfectly with enums. You may implement the "set" and "rm" commands now, focusing on the `set` / `rm` test cases, or you can proceed to the next section to read about the "get" command. It may help to keep both in mind, or to implement them both simultaneously. It is your choice. ## Part 4: Reading from the log Now it's time to implement "get". In this part, you don't need to store log pointers in the index, we will leave the work to the next part. Instead, just read each command in the log on startup, executing them to save every key and value in the memory. Then read from the memory. Should you read all records in the log into memory at once and then replay them into your map type; or should you read them one at a time while replaying them into your map? Should you read into a buffer before deserializing or deserialize from a file stream? Think about the memory usage of your approach. Think about the way reading from I/O streams interacts with the kernel. Remember that "get" may not find a value and that case has to be handled specially. Here, our API returns `None` and our command line client prints a particular message and exits with a zero exit code. There's one complication to reading the log, and you may have already considered it while writing the "set" code: how do you distinguish between each record in the log? That is, how do you know when to stop reading one record, and start reading the next? Do you even need to? Maybe serde will deserialize a record directly from an I/O stream and stop reading when it's done, leaving the file cursor in the correct place to read subsequent records. Maybe serde will report an error when it sees two records back-to-back. Maybe you need to insert additional information to distinguish the length of each record. Maybe not. [`serde`]: https://serde.rs/ _Implement "get" now_. ## Part 5: Storing log pointers in the index At this point most, if not all (besides the compaction test), other test suite should all pass. The changes introduced in the next steps are simple optimizations, necessary for fast performance and reduced storage. As you implement them, pay attention to what exactly they are optimizing for. As we've described, the database you are building maintains an in-memory index of all keys in the database. That index maps from string keys to log pointers, not the values themselves. This change introduces the need to perform reads from the log at arbitrary offsets. Consider how that might impact the way you manage file handles. _If, in the previous steps, you elected to store the string values directly in memory, now is the time to update your code to store log pointers instead, loading from disk on demand._ ## Part 6: Stateless vs. stateful `KvStore` Remember that our project is both a library and a command-line program. They have sligtly different requirements: the `kvs` CLI commits a single change to disk, then exits (it is stateless); the `KvStore` type commits changes to disk, then stays resident in memory to service future queries (it is stateful). Is your `KvStore` stateful or stateless? _Make your `KvStore` retain the index in memory so it doesn't need to re-evaluate it for every call to `get`._ ## Part 7: Compacting the log At this point the database works just fine, but the log grows indefinitely. That is appropriate for some databases, but not the one we're building — we want to minimize disk usage as much as we can. So the final step in creating your database is to compact the log. Consider that as the log grows that multiple entries may set the value of a given key. Consider also that only the most recent command that modified a given key has any effect on the current value of that key: | idx | command | |:---:|:--------| | 0 | ~Command::Set("key-1", "value-1a")~ | | 20 | Command::Set("key-2", "value-2") | | | ... | | 100 | Command::Set("key-1", "value-1b") | In this example obviously the command at index 0 is redundant, so it doesn't need to be stored. Log compaction then is about rebuilding the log to remove redundancy: | idx | command | |:---:|:--------| | 0 | Command::Set("key-2", "value-2") | | | ... | | 99 | Command::Set("key-1", "value-1b") | Here's the basic algorithm you will use: _How_ you re-build the log is up to you. Consider questions like: what is the naive solution? How much memory do you need? What is the minimum amount of copying necessary to compact the log? Can the compaction be done in-place? How do you maintain data-integrity if compaction fails? So far we've been refering to "the log", but in actuallity it is common for a database to store many logs, in different files. You may find it easier to compact the log if you split your log across files. _Implement log compaction for your database._ Congratulations! You have written a fully-functional database. If you are curious, now is a good time to start comparing the performance of your key/value store to others, like [sled], [bitcask], [badger], or [RocksDB]. You might enjoy investigating their architectures, thinking about how theirs compare to yours, and how architecture affects performance. The next few projects will give you opportunities to optimize. [sled]: https://github.com/spacejam/sled [badger]: https://github.com/dgraph-io/badger [RocksDB]: https://rocksdb.org/ Nice coding, friend. Enjoy a nice break. ================================================ FILE: courses/rust/projects/project-2/src/bin/kvs.rs ================================================ use clap::{App, AppSettings, Arg, SubCommand}; use kvs::{KvStore, KvsError, Result}; use std::env::current_dir; use std::process::exit; fn main() -> Result<()> { let matches = App::new(env!("CARGO_PKG_NAME")) .version(env!("CARGO_PKG_VERSION")) .author(env!("CARGO_PKG_AUTHORS")) .about(env!("CARGO_PKG_DESCRIPTION")) .setting(AppSettings::DisableHelpSubcommand) .setting(AppSettings::SubcommandRequiredElseHelp) .setting(AppSettings::VersionlessSubcommands) .subcommand( SubCommand::with_name("set") .about("Set the value of a string key to a string") .arg(Arg::with_name("KEY").help("A string key").required(true)) .arg( Arg::with_name("VALUE") .help("The string value of the key") .required(true), ), ) .subcommand( SubCommand::with_name("get") .about("Get the string value of a given string key") .arg(Arg::with_name("KEY").help("A string key").required(true)), ) .subcommand( SubCommand::with_name("rm") .about("Remove a given key") .arg(Arg::with_name("KEY").help("A string key").required(true)), ) .get_matches(); match matches.subcommand() { ("set", Some(matches)) => { let key = matches.value_of("KEY").unwrap(); let value = matches.value_of("VALUE").unwrap(); let mut store = KvStore::open(current_dir()?)?; store.set(key.to_string(), value.to_string())?; } ("get", Some(matches)) => { let key = matches.value_of("KEY").unwrap(); let mut store = KvStore::open(current_dir()?)?; if let Some(value) = store.get(key.to_string())? { println!("{}", value); } else { println!("Key not found"); } } ("rm", Some(matches)) => { let key = matches.value_of("KEY").unwrap(); let mut store = KvStore::open(current_dir()?)?; match store.remove(key.to_string()) { Ok(()) => {} Err(KvsError::KeyNotFound) => { println!("Key not found"); exit(1); } Err(e) => return Err(e), } } _ => unreachable!(), } Ok(()) } ================================================ FILE: courses/rust/projects/project-2/src/error.rs ================================================ use failure::Fail; use std::io; /// Error type for kvs. #[derive(Fail, Debug)] pub enum KvsError { /// IO error. #[fail(display = "{}", _0)] Io(#[cause] io::Error), /// Serialization or deserialization error. #[fail(display = "{}", _0)] Serde(#[cause] serde_json::Error), /// Removing non-existent key error. #[fail(display = "Key not found")] KeyNotFound, /// Unexpected command type error. /// It indicated a corrupted log or a program bug. #[fail(display = "Unexpected command type")] UnexpectedCommandType, } impl From for KvsError { fn from(err: io::Error) -> KvsError { KvsError::Io(err) } } impl From for KvsError { fn from(err: serde_json::Error) -> KvsError { KvsError::Serde(err) } } /// Result type for kvs. pub type Result = std::result::Result; ================================================ FILE: courses/rust/projects/project-2/src/kv.rs ================================================ use std::collections::{BTreeMap, HashMap}; use std::fs::{self, File, OpenOptions}; use std::io::{self, BufReader, BufWriter, Read, Seek, SeekFrom, Write}; use std::ops::Range; use std::path::{Path, PathBuf}; use serde::{Deserialize, Serialize}; use serde_json::Deserializer; use crate::{KvsError, Result}; use std::ffi::OsStr; const COMPACTION_THRESHOLD: u64 = 1024 * 1024; /// The `KvStore` stores string key/value pairs. /// /// Key/value pairs are persisted to disk in log files. Log files are named after /// monotonically increasing generation numbers with a `log` extension name. /// A `BTreeMap` in memory stores the keys and the value locations for fast query. /// /// ```rust /// # use kvs::{KvStore, Result}; /// # fn try_main() -> Result<()> { /// use std::env::current_dir; /// let mut store = KvStore::open(current_dir()?)?; /// store.set("key".to_owned(), "value".to_owned())?; /// let val = store.get("key".to_owned())?; /// assert_eq!(val, Some("value".to_owned())); /// # Ok(()) /// # } /// ``` pub struct KvStore { // directory for the log and other data. path: PathBuf, // map generation number to the file reader. readers: HashMap>, // writer of the current log. writer: BufWriterWithPos, current_gen: u64, index: BTreeMap, // the number of bytes representing "stale" commands that could be // deleted during a compaction. uncompacted: u64, } impl KvStore { /// Opens a `KvStore` with the given path. /// /// This will create a new directory if the given one does not exist. /// /// # Errors /// /// It propagates I/O or deserialization errors during the log replay. pub fn open(path: impl Into) -> Result { let path = path.into(); fs::create_dir_all(&path)?; let mut readers = HashMap::new(); let mut index = BTreeMap::new(); let gen_list = sorted_gen_list(&path)?; let mut uncompacted = 0; for &gen in &gen_list { let mut reader = BufReaderWithPos::new(File::open(log_path(&path, gen))?)?; uncompacted += load(gen, &mut reader, &mut index)?; readers.insert(gen, reader); } let current_gen = gen_list.last().unwrap_or(&0) + 1; let writer = new_log_file(&path, current_gen, &mut readers)?; Ok(KvStore { path, readers, writer, current_gen, index, uncompacted, }) } /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. /// /// # Errors /// /// It propagates I/O or serialization errors during writing the log. pub fn set(&mut self, key: String, value: String) -> Result<()> { let cmd = Command::set(key, value); let pos = self.writer.pos; serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Set { key, .. } = cmd { if let Some(old_cmd) = self .index .insert(key, (self.current_gen, pos..self.writer.pos).into()) { self.uncompacted += old_cmd.len; } } if self.uncompacted > COMPACTION_THRESHOLD { self.compact()?; } Ok(()) } /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. /// /// # Errors /// /// It returns `KvsError::UnexpectedCommandType` if the given command type unexpected. pub fn get(&mut self, key: String) -> Result> { if let Some(cmd_pos) = self.index.get(&key) { let reader = self .readers .get_mut(&cmd_pos.gen) .expect("Cannot find log reader"); reader.seek(SeekFrom::Start(cmd_pos.pos))?; let cmd_reader = reader.take(cmd_pos.len); if let Command::Set { value, .. } = serde_json::from_reader(cmd_reader)? { Ok(Some(value)) } else { Err(KvsError::UnexpectedCommandType) } } else { Ok(None) } } /// Removes a given key. /// /// # Errors /// /// It returns `KvsError::KeyNotFound` if the given key is not found. /// /// It propagates I/O or serialization errors during writing the log. pub fn remove(&mut self, key: String) -> Result<()> { if self.index.contains_key(&key) { let cmd = Command::remove(key); serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Remove { key } = cmd { let old_cmd = self.index.remove(&key).expect("key not found"); self.uncompacted += old_cmd.len; } Ok(()) } else { Err(KvsError::KeyNotFound) } } /// Clears stale entries in the log. pub fn compact(&mut self) -> Result<()> { // increase current gen by 2. current_gen + 1 is for the compaction file. let compaction_gen = self.current_gen + 1; self.current_gen += 2; self.writer = self.new_log_file(self.current_gen)?; let mut compaction_writer = self.new_log_file(compaction_gen)?; let mut new_pos = 0; // pos in the new log file. for cmd_pos in &mut self.index.values_mut() { let reader = self .readers .get_mut(&cmd_pos.gen) .expect("Cannot find log reader"); if reader.pos != cmd_pos.pos { reader.seek(SeekFrom::Start(cmd_pos.pos))?; } let mut entry_reader = reader.take(cmd_pos.len); let len = io::copy(&mut entry_reader, &mut compaction_writer)?; *cmd_pos = (compaction_gen, new_pos..new_pos + len).into(); new_pos += len; } compaction_writer.flush()?; // remove stale log files. let stale_gens: Vec<_> = self .readers .keys() .filter(|&&gen| gen < compaction_gen) .cloned() .collect(); for stale_gen in stale_gens { self.readers.remove(&stale_gen); fs::remove_file(log_path(&self.path, stale_gen))?; } self.uncompacted = 0; Ok(()) } /// Create a new log file with given generation number and add the reader to the readers map. /// /// Returns the writer to the log. fn new_log_file(&mut self, gen: u64) -> Result> { new_log_file(&self.path, gen, &mut self.readers) } } /// Create a new log file with given generation number and add the reader to the readers map. /// /// Returns the writer to the log. fn new_log_file( path: &Path, gen: u64, readers: &mut HashMap>, ) -> Result> { let path = log_path(&path, gen); let writer = BufWriterWithPos::new( OpenOptions::new() .create(true) .write(true) .append(true) .open(&path)?, )?; readers.insert(gen, BufReaderWithPos::new(File::open(&path)?)?); Ok(writer) } /// Returns sorted generation numbers in the given directory. fn sorted_gen_list(path: &Path) -> Result> { let mut gen_list: Vec = fs::read_dir(&path)? .flat_map(|res| -> Result<_> { Ok(res?.path()) }) .filter(|path| path.is_file() && path.extension() == Some("log".as_ref())) .flat_map(|path| { path.file_name() .and_then(OsStr::to_str) .map(|s| s.trim_end_matches(".log")) .map(str::parse::) }) .flatten() .collect(); gen_list.sort_unstable(); Ok(gen_list) } /// Load the whole log file and store value locations in the index map. /// /// Returns how many bytes can be saved after a compaction. fn load( gen: u64, reader: &mut BufReaderWithPos, index: &mut BTreeMap, ) -> Result { // To make sure we read from the beginning of the file. let mut pos = reader.seek(SeekFrom::Start(0))?; let mut stream = Deserializer::from_reader(reader).into_iter::(); let mut uncompacted = 0; // number of bytes that can be saved after a compaction. while let Some(cmd) = stream.next() { let new_pos = stream.byte_offset() as u64; match cmd? { Command::Set { key, .. } => { if let Some(old_cmd) = index.insert(key, (gen, pos..new_pos).into()) { uncompacted += old_cmd.len; } } Command::Remove { key } => { if let Some(old_cmd) = index.remove(&key) { uncompacted += old_cmd.len; } // the "remove" command itself can be deleted in the next compaction. // so we add its length to `uncompacted`. uncompacted += new_pos - pos; } } pos = new_pos; } Ok(uncompacted) } fn log_path(dir: &Path, gen: u64) -> PathBuf { dir.join(format!("{}.log", gen)) } /// Struct representing a command. #[derive(Serialize, Deserialize, Debug)] enum Command { Set { key: String, value: String }, Remove { key: String }, } impl Command { fn set(key: String, value: String) -> Command { Command::Set { key, value } } fn remove(key: String) -> Command { Command::Remove { key } } } /// Represents the position and length of a json-serialized command in the log. struct CommandPos { gen: u64, pos: u64, len: u64, } impl From<(u64, Range)> for CommandPos { fn from((gen, range): (u64, Range)) -> Self { CommandPos { gen, pos: range.start, len: range.end - range.start, } } } struct BufReaderWithPos { reader: BufReader, pos: u64, } impl BufReaderWithPos { fn new(mut inner: R) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufReaderWithPos { reader: BufReader::new(inner), pos, }) } } impl Read for BufReaderWithPos { fn read(&mut self, buf: &mut [u8]) -> io::Result { let len = self.reader.read(buf)?; self.pos += len as u64; Ok(len) } } impl Seek for BufReaderWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.reader.seek(pos)?; Ok(self.pos) } } struct BufWriterWithPos { writer: BufWriter, pos: u64, } impl BufWriterWithPos { fn new(mut inner: W) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufWriterWithPos { writer: BufWriter::new(inner), pos, }) } } impl Write for BufWriterWithPos { fn write(&mut self, buf: &[u8]) -> io::Result { let len = self.writer.write(buf)?; self.pos += len as u64; Ok(len) } fn flush(&mut self) -> io::Result<()> { self.writer.flush() } } impl Seek for BufWriterWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.writer.seek(pos)?; Ok(self.pos) } } ================================================ FILE: courses/rust/projects/project-2/src/lib.rs ================================================ #![deny(missing_docs)] //! A simple key/value store. pub use error::{KvsError, Result}; pub use kv::KvStore; mod error; mod kv; ================================================ FILE: courses/rust/projects/project-2/tests/tests.rs ================================================ use assert_cmd::prelude::*; use kvs::{KvStore, Result}; use predicates::ord::eq; use predicates::str::{contains, is_empty, PredicateStrExt}; use std::process::Command; use tempfile::TempDir; use walkdir::WalkDir; // `kvs` with no args should exit with a non-zero code. #[test] fn cli_no_args() { Command::cargo_bin("kvs").unwrap().assert().failure(); } // `kvs -V` should print the version #[test] fn cli_version() { Command::cargo_bin("kvs") .unwrap() .args(&["-V"]) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } // `kvs get ` should print "Key not found" for a non-existent key and exit with zero. #[test] fn cli_get_non_existent_key() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs") .unwrap() .args(&["get", "key1"]) .current_dir(&temp_dir) .assert() .success() .stdout(eq("Key not found").trim()); } // `kvs rm ` should print "Key not found" for an empty database and exit with non-zero code. #[test] fn cli_rm_non_existent_key() { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); Command::cargo_bin("kvs") .unwrap() .args(&["rm", "key1"]) .current_dir(&temp_dir) .assert() .failure() .stdout(eq("Key not found").trim()); } // `kvs set ` should print nothing and exit with zero. #[test] fn cli_set() { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); Command::cargo_bin("kvs") .unwrap() .args(&["set", "key1", "value1"]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); } #[test] fn cli_get_stored() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; store.set("key2".to_owned(), "value2".to_owned())?; drop(store); Command::cargo_bin("kvs") .unwrap() .args(&["get", "key1"]) .current_dir(&temp_dir) .assert() .success() .stdout(eq("value1").trim()); Command::cargo_bin("kvs") .unwrap() .args(&["get", "key2"]) .current_dir(&temp_dir) .assert() .success() .stdout(eq("value2").trim()); Ok(()) } // `kvs rm ` should print nothing and exit with zero. #[test] fn cli_rm_stored() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; drop(store); Command::cargo_bin("kvs") .unwrap() .args(&["rm", "key1"]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs") .unwrap() .args(&["get", "key1"]) .current_dir(&temp_dir) .assert() .success() .stdout(eq("Key not found").trim()); Ok(()) } #[test] fn cli_invalid_get() { Command::cargo_bin("kvs") .unwrap() .args(&["get"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["get", "extra", "field"]) .assert() .failure(); } #[test] fn cli_invalid_set() { Command::cargo_bin("kvs") .unwrap() .args(&["set"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["set", "missing_field"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["set", "extra", "extra", "field"]) .assert() .failure(); } #[test] fn cli_invalid_rm() { Command::cargo_bin("kvs") .unwrap() .args(&["rm"]) .assert() .failure(); Command::cargo_bin("kvs") .unwrap() .args(&["rm", "extra", "field"]) .assert() .failure(); } #[test] fn cli_invalid_subcommand() { Command::cargo_bin("kvs") .unwrap() .args(&["unknown", "subcommand"]) .assert() .failure(); } // Should get previously stored value. #[test] fn get_stored_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; store.set("key2".to_owned(), "value2".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); assert_eq!(store.get("key2".to_owned())?, Some("value2".to_owned())); // Open from disk again and check persistent data. drop(store); let mut store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); assert_eq!(store.get("key2".to_owned())?, Some("value2".to_owned())); Ok(()) } // Should overwrite existent value. #[test] fn overwrite_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); store.set("key1".to_owned(), "value2".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value2".to_owned())); // Open from disk again and check persistent data. drop(store); let mut store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key1".to_owned())?, Some("value2".to_owned())); store.set("key1".to_owned(), "value3".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value3".to_owned())); Ok(()) } // Should get `None` when getting a non-existent key. #[test] fn get_non_existent_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert_eq!(store.get("key2".to_owned())?, None); // Open from disk again and check persistent data. drop(store); let mut store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key2".to_owned())?, None); Ok(()) } #[test] fn remove_non_existent_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; assert!(store.remove("key1".to_owned()).is_err()); Ok(()) } #[test] fn remove_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert!(store.remove("key1".to_owned()).is_ok()); assert_eq!(store.get("key1".to_owned())?, None); Ok(()) } // Insert data until total size of the directory decreases. // Test data correctness after compaction. #[test] fn compaction() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; let dir_size = || { let entries = WalkDir::new(temp_dir.path()).into_iter(); let len: walkdir::Result = entries .map(|res| { res.and_then(|entry| entry.metadata()) .map(|metadata| metadata.len()) }) .sum(); len.expect("fail to get directory size") }; let mut current_size = dir_size(); for iter in 0..1000 { for key_id in 0..1000 { let key = format!("key{}", key_id); let value = format!("{}", iter); store.set(key, value)?; } let new_size = dir_size(); if new_size > current_size { current_size = new_size; continue; } // Compaction triggered. drop(store); // reopen and check content. let mut store = KvStore::open(temp_dir.path())?; for key_id in 0..1000 { let key = format!("key{}", key_id); assert_eq!(store.get(key)?, Some(format!("{}", iter))); } return Ok(()); } panic!("No compaction detected"); } ================================================ FILE: courses/rust/projects/project-3/Cargo.toml ================================================ [package] name = "kvs" version = "0.1.0" authors = ["Yilin Chen "] description = "A key-value store" edition = "2018" [dependencies] clap = "2.33.0" structopt = "0.2.15" failure = "0.1.5" serde = { version = "1.0.89", features = ["derive"] } serde_json = "1.0.39" log = "0.4.6" env_logger = "0.6.1" sled = "0.34.6" [dev-dependencies] assert_cmd = "0.11" criterion = "0.3" predicates = "1.0.0" rand = "0.6.5" tempfile = "3.0.7" walkdir = "2.2.7" [[bench]] name = "engine_bench" harness = false ================================================ FILE: courses/rust/projects/project-3/README.md ================================================ # PNA Rust Project 3: Synchronous client-server networking **Task**: Create a _single-threaded_, persistent key/value store _server and client with synchronous networking over a custom protocol_. **Goals**: - Create a client-server application - Write a custom protocol with `std` networking APIs - Introduce logging to the server - Implement pluggable backends with traits - Benchmark the hand-written backend against `sled` **Topics**: `std::net`, logging, traits, benchmarking. - [Introduction](#user-content-introduction) - [Project spec](#user-content-project-spec) - [Project setup](#user-content-project-setup) - [Part 1: Command line parsing](#user-content-part-1-command-line-parsing) - [Part 2: Logging](#user-content-part-2-logging) - [Part 3: Client-server networking setup](#user-content-part-3-client-server-networking-setup) - [Part 4: Implementing commands across the network](#user-content-part-4-implementing-commands-across-the-network) - [Part 5: Pluggable storage engines](#user-content-part-5-pluggable-storage-engines) - [Part 6: Benchmarking](#user-content-part-6-benchmarking) ## Introduction In this project you will create a simple key/value server and client. They will communicate with a custom networking protocol of your design. You will emit logs using standard logging crates, and handle errors correctly across the network boundary. Once you have a working client-server architecture, then you will abstract the storage engine behind traits, and compare the performance of yours to the [`sled`] engine. ## Project spec The cargo project, `kvs`, builds a command-line key-value store client called `kvs-client`, and a key-value store server called `kvs-server`, both of which in turn call into a library called `kvs`. The client speaks to the server over a custom protocol. The `kvs-server` executable supports the following command line arguments: - `kvs-server [--addr IP-PORT] [--engine ENGINE-NAME]` Start the server and begin listening for incoming connections. `--addr` accepts an IP address, either v4 or v6, and a port number, with the format `IP:PORT`. If `--addr` is not specified then listen on `127.0.0.1:4000`. If `--engine` is specified, then `ENGINE-NAME` must be either "kvs", in which case the built-in engine is used, or "sled", in which case sled is used. If this is the first run (there is no data previously persisted) then the default value is "kvs"; if there is previously persisted data then the default is the engine already in use. If data was previously persisted with a different engine than selected, print an error and exit with a non-zero exit code. Print an error and return a non-zero exit code on failure to bind a socket, if `ENGINE-NAME` is invalid, if `IP-PORT` does not parse as an address. - `kvs-server -V` Print the version. The `kvs-client` executable supports the following command line arguments: - `kvs-client set [--addr IP-PORT]` Set the value of a string key to a string. `--addr` accepts an IP address, either v4 or v6, and a port number, with the format `IP:PORT`. If `--addr` is not specified then connect on `127.0.0.1:4000`. Print an error and return a non-zero exit code on server error, or if `IP-PORT` does not parse as an address. - `kvs-client get [--addr IP-PORT]` Get the string value of a given string key. `--addr` accepts an IP address, either v4 or v6, and a port number, with the format `IP:PORT`. If `--addr` is not specified then connect on `127.0.0.1:4000`. Print an error and return a non-zero exit code on server error, or if `IP-PORT` does not parse as an address. - `kvs-client rm [--addr IP-PORT]` Remove a given string key. `--addr` accepts an IP address, either v4 or v6, and a port number, with the format `IP:PORT`. If `--addr` is not specified then connect on `127.0.0.1:4000`. Print an error and return a non-zero exit code on server error, or if `IP-PORT` does not parse as an address. A "key not found" is also treated as an error in the "rm" command. - `kvs-client -V` Print the version. All error messages should be printed to stderr. The `kvs` library contains four types: - `KvsClient` - implements the functionality required for `kvs-client` to speak to `kvs-server` - `KvsServer` - implements the functionality to serve responses to `kvs-client` from `kvs-server` - `KvsEngine` trait - defines the storage interface called by `KvsServer` - `KvStore` - implements by hand the `KvsEngine` trait - `SledKvsEngine` - implements `KvsEngine` for the [`sled`] storage engine. [`sled`]: https://github.com/spacejam/sled The design of `KvsClient` and `KvsServer` are up to you, and will be informed by the design of your network protocol. The test suite does not directly use either type, but only exercises them via the CLI. The `KvsEngine` trait supports the following methods: - `KvsEngine::set(&mut self, key: String, value: String) -> Result<()>` Set the value of a string key to a string. Return an error if the value is not written successfully. - `KvsEngine::get(&mut self, key: String) -> Result>` Get the string value of a string key. If the key does not exist, return `None`. Return an error if the value is not read successfully. - `KvsEngine::remove(&mut self, key: String) -> Result<()>` Remove a given string key. Return an error if the key does not exit or value is not read successfully. When setting a key to a value, `KvStore` writes the `set` command to disk in a sequential log. When removing a key, `KvStore` writes the `rm` command to the log. On startup, the commands in the log are re-evaluated and the log pointer (file offset) of the last command to set each key recorded in the in-memory index. When retrieving a value for a key with the `get` command, it searches the index, and if found then loads from the log, and evaluates, the command at the corresponding log pointer. When the size of the uncompacted log entries reach a given threshold, `KvStore` compacts it into a new log, removing redundant entries to reclaim disk space. ## Project setup Continuing from your previous project, delete your previous `tests` directory and copy this project's `tests` directory into its place. This project should contain a library named `kvs`, and two executables, `kvs-server` and `kvs-client`. You need the following dev-dependencies in your `Cargo.toml`: ```toml [dev-dependencies] assert_cmd = "0.11" criterion = "0.3" predicates = "1.0.0" rand = "0.6.5" tempfile = "3.0.7" walkdir = "2.2.7" ``` As with previous projects, add enough definitions that the test suite builds. ## Part 1: Command line parsing There's little new about the command line parsing in this project compared to previous projects. The `kvs-client` binary accepts the same command line arguments as in previous projects. And now `kvs-server` has its own set of command line arguments to handle, as described previously in the spec. _Stub out the `kvs-server` command line handling._ ## Part 2: Logging Production server applications tend to have robust and configurable logging. So now we're going to add logging to `kvs-server`, and as we continue will look for useful information to log. During development it is common to use logging at the `debug!` and `trace!` levels for "println debugging". There are two prominent logging systems in Rust: [`log`] and [`slog`]. Both export similar macros for logging at different levels, like `error!`, `info!` etc. Both are extensible, supporting different backends, for logging to the console, logging to file, logging to the system log, etc. [`log`]: https://docs.rs/log/ [`slog`]: https://docs.rs/slog/ The major difference is that `log` is fairly simple, logging only formatted strings; `slog` is feature-rich, and supports "structured logging", where log entries are typed and serialized in easily-parsed formats. `log` dates from the very earliest days of Rust, where it was part of the compiler, then part of the standard library, and finally released as its own crate. It is maintained by the Rust Project. `slog` is newer and maintained independently. Both are widely used. For both systems, one needs to select a "sink" crate, one that the logger sends logs to for display or storage. _Read about both of them, choose the one that appeals to you, add them as dependencies, then modify `kvs-server` to initialize logging on startup, prior to command-line parsing._ Set it up to output to stderr (sending the logs elsewhere additionally is fine, but they must go to stderr to pass the tests in this project). On startup log the server's version number. Also log the configuration. For now that means the IP address and port, and the name of the storage engine. ## Part 3: Client-server networking setup Next we're going to set up the networking. For this project you are going to be using the basic TCP/IP networking APIs in `std::net`: [`TcpListener`] and [`TcpStream`]. [`TcpListener`]: https://doc.rust-lang.org/std/net/struct.TcpListener.html [`TcpStream`]: https://doc.rust-lang.org/std/net/struct.TcpStream.html For this project, the server is synchronous and single-threaded. That means that you will listen on a socket, then accept connections, and execute and respond to commands one at a time. In the future we will re-visit this decision multiple times on our journey toward an asynchronous, multi-threaded, and high-performance database. Think about your manual testing workflow. Now that there are two executables to deal with, you'll need a way to run them both at the same time. If you are like many, you will use two terminals, running `cargo run --bin kvs-server` in one, where it runs until you press CTRL-D, and `cargo run --bin kvs-client` in the other. This is a good opportunity to use the logging macros for debugging. Go ahead and log information about every accepted connection. _Before thinking about the protocol, modify `kvs-server` to listen for and accept connections, and `kvs-client` to initiate connections._ ## Part 4: Implementing commands across the network In the last project you defined the commands your database accepts, and learned how to serialize and deserialize them to and from the log with `serde`. Now it's time to implement the key/value store over the network, remotely executing commands that until now have been implemented within a single process. As with the file I/O you worked on in the last project to create the log, you will be serializing and streaming commands with the `Read` and `Write` traits. You are going to design a network protocol. There are a number of ways to get data in and out of a TCP stream, and a number of decisions to make. Is it a text-based protocol, binary? How is the data translated from its format in memory to its format byte-stream format? Is there a single request per connection, or many? Keep in mind that it must support successful results and errors, and there are two kinds of errors now: the ones generated by your storage engine, as well as network errors. All the details of the protocol are up to you. The test suite does not care at all how the data gets from one end to the other, just that the results are correct. _Write your network protocol._ ## Part 5: Pluggable storage engines Your database has a storage engine, `KvStore`, implemented by you. Now you are going to add a second storage engine. There are multiple reasons to do so: - Different workloads require different performance characteristics. Some storage engines may work better than other based on the workload. - It creates a familiar framework for comparing different backends. - It gives us an excuse to create and work with traits. - It gives us an excuse to write some comparative benchmarks! So you are going to _extract_ a new trait, `KvsEngine`, from the `KvStore` interface. This is a classic _refactoring_, where existing code is transformed into a new form incrementally. When refactoring you will generally want to break the work up into the smallest changes that will continue to build and work. Here is the API you need to end up with: - `trait KvsEngine` has `get`, `set` and `remove` methods with the same signatures as `KvStore`. - `KvStore` implements `KvsEngine`, and no longer has `get`, `set` and `remove` methods of its own. - There is a new implementation of `KvsEngine`, `SledKvsEngine`. You need to fill its `get` and `set` methods using the `sled` library later. It's likely that you have already stubbed out the definitions for these if your tests are building. _Now is the time to fill them in._ Break down your refactoring into an intentional sequence of changes, and make sure the project continues to build and pass previously-passing tests before continuing. As one final step, you need to consider what happens when `kvs-server` is started with one engine, is killed, then restarted with a different engine. This case can only result in an error, and you need to figure out how to detect the case to report the error. The test `cli_wrong_engine` reflects this scenario. ## Part 6: Benchmarking As the course progresses we will increasingly concern ourselves with the performance of the database, exploring the impact of different architectures. You are encouraged to go beyond the model described herein and experiment with your own optimizations. Performance work requires benchmarking, so now we're going to get started on that. There are many ways to benchmark databases, with standard test suites like [ycsb] and [sysbench]. In Rust benchmarking starts with the builtin tooling, so we will start there. [ycsb]: https://github.com/brianfrankcooper/YCSB [sysbench]: https://github.com/akopytov/sysbench Cargo supports benchmarking with `cargo bench`. The benchmarks may either be written using Rust's built in benchmark harness, or an external one. The built-in harness creates benchmarks from functions with the `#[bench]` attribute. It cannot be used on the Rust stable channel though, and is only documented briefly in [the unstable book][tb] and the [`test` crate docs][tc]. It is though widely used throughout the Rust ecosystem — crates that use it, even if they compile with stable releases, do benchmarking with nightly releases. [tb]: https://doc.rust-lang.org/stable/unstable-book/library-features/test.html [tc]: https://doc.rust-lang.org/stable/test/index.html That system though is effectively deprecated — it is not being updated and will seemingly never be promoted to the stable release channel. There are better benchmark harnesses for Rust anyway. The one you will use is [criterion]. And you will use it to satisfy your curiosity about the performance of your `kvs` engine compared to the `sled` engine. These benchmarking tools work by defining a benchmarking function, and within that function iterating through a loop that performs the operation to be benchmarking. The benchmarking tool will iterate as many times as it needs to in order to know the duration of the operation with statistical significance. See this basic example from the criterion guide: ```rust fn criterion_benchmark(c: &mut Criterion) { c.bench_function("fib 20", |b| { b.iter(|| { fibonacci(20) }); }); } ``` The call to `bench_function` defines the benchmark, and the call to `iter` defines the code that is run for the benchmark. Code before and after the call to `iter` is not timed. [criterion]: https://docs.rs/criterion Prepare for writing benchmarks by creating a file called `benches/benches.rs`. Like `tests/tests.rs`, cargo will automatically find this file and compile it as a benchmark. Start by writing the following benchmarks: - `kvs_write` - With the kvs engine, write 100 values with random keys of length 1-100000 bytes and random values of length 1-100000 bytes. - `sled_write`- With the sled engine, write 100 values with random keys of length 1-100000 bytes and random values of length 1-100000 bytes. - `kvs_read` - With the kvs engine, read 1000 values from previously written keys, with keys and values of random length. - `sled_read` - With the sled engine, read 1000 values from previously written keys, with keys and values of random length. (As an alternative to writing 4 benchmarks, you may also choose to write 2 benchmarks parameterized over the engine, as [described in the criterion manual][pb]). [pb]: https://bheisler.github.io/criterion.rs/book/user_guide/benchmarking_with_inputs.html These are underspecified, and there's a fair bit of nuance to implementing them in a useful way. We need to consider at least three factors: - What code should be timed (and be written inside the benchmark loop), and what code should not (and be written outside the benchmark loop)? - How to make the loop run identically for each iteration, despite using "random" numbers. - In the "read" benchmarks, how to read from the same set of "random" keys that were written previously. These are all inter-related: some code needs to be carefully selected as un-timed setup code, and the seed values for random number generators need to be re-used appropriately. In all cases, operations that may return errors should assert (with `assert!`) that they did not return an error; and in the read case, "get" operations should assert that the key was found. Random numbers can be generated with the [`rand`] crate. [`rand`]: https://docs.rs/crate/rand/ Once you have your benchmarks, run them with `cargo bench`. _Write the above benchmarks, and compare the results between `kvs` and `sled`._ _Note: please run the benchmarks on an otherwise unloaded machine. Benchmark results are very sensitive to the environment they are run in, and while the criterion library does its best to compensate for "noise", benchmarks are best done on a clean machine without other active processes. If you have a spare machine just for development, use that. If not, an AWS or other cloud instance may produce more consistent results than your local desktop._ Nice coding, friend. Enjoy a nice break. ================================================ FILE: courses/rust/projects/project-3/benches/engine_bench.rs ================================================ use criterion::{criterion_group, criterion_main, BatchSize, Criterion}; use kvs::{KvStore, KvsEngine, SledKvsEngine}; use rand::prelude::*; use sled; use tempfile::TempDir; fn set_bench(c: &mut Criterion) { let mut group = c.benchmark_group("set_bench"); group.bench_function("kvs", |b| { b.iter_batched( || { let temp_dir = TempDir::new().unwrap(); (KvStore::open(temp_dir.path()).unwrap(), temp_dir) }, |(mut store, _temp_dir)| { for i in 1..(1 << 12) { store.set(format!("key{}", i), "value".to_string()).unwrap(); } }, BatchSize::SmallInput, ) }); group.bench_function("sled", |b| { b.iter_batched( || { let temp_dir = TempDir::new().unwrap(); (SledKvsEngine::new(sled::open(&temp_dir).unwrap()), temp_dir) }, |(mut db, _temp_dir)| { for i in 1..(1 << 12) { db.set(format!("key{}", i), "value".to_string()).unwrap(); } }, BatchSize::SmallInput, ) }); group.finish(); } fn get_bench(c: &mut Criterion) { let mut group = c.benchmark_group("get_bench"); for i in &vec![8, 12, 16, 20] { group.bench_with_input(format!("kvs_{}", i), i, |b, i| { let temp_dir = TempDir::new().unwrap(); let mut store = KvStore::open(temp_dir.path()).unwrap(); for key_i in 1..(1 << i) { store .set(format!("key{}", key_i), "value".to_string()) .unwrap(); } let mut rng = SmallRng::from_seed([0; 16]); b.iter(|| { store .get(format!("key{}", rng.gen_range(1, 1 << i))) .unwrap(); }) }); } for i in &vec![8, 12, 16, 20] { group.bench_with_input(format!("sled_{}", i), i, |b, i| { let temp_dir = TempDir::new().unwrap(); let mut db = SledKvsEngine::new(sled::open(&temp_dir).unwrap()); for key_i in 1..(1 << i) { db.set(format!("key{}", key_i), "value".to_string()) .unwrap(); } let mut rng = SmallRng::from_seed([0; 16]); b.iter(|| { db.get(format!("key{}", rng.gen_range(1, 1 << i))).unwrap(); }) }); } group.finish(); } criterion_group!(benches, set_bench, get_bench); criterion_main!(benches); ================================================ FILE: courses/rust/projects/project-3/src/bin/kvs-client.rs ================================================ use clap::AppSettings; use kvs::{KvsClient, Result}; use std::net::SocketAddr; use std::process::exit; use structopt::StructOpt; const DEFAULT_LISTENING_ADDRESS: &str = "127.0.0.1:4000"; const ADDRESS_FORMAT: &str = "IP:PORT"; #[derive(StructOpt, Debug)] #[structopt( name = "kvs-client", raw(global_settings = "&[\ AppSettings::DisableHelpSubcommand,\ AppSettings::VersionlessSubcommands]") )] struct Opt { #[structopt(subcommand)] command: Command, } #[derive(StructOpt, Debug)] enum Command { #[structopt(name = "get", about = "Get the string value of a given string key")] Get { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt( long, help = "Sets the server address", raw(value_name = "ADDRESS_FORMAT"), raw(default_value = "DEFAULT_LISTENING_ADDRESS"), parse(try_from_str) )] addr: SocketAddr, }, #[structopt(name = "set", about = "Set the value of a string key to a string")] Set { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt(name = "VALUE", help = "The string value of the key")] value: String, #[structopt( long, help = "Sets the server address", raw(value_name = "ADDRESS_FORMAT"), raw(default_value = "DEFAULT_LISTENING_ADDRESS"), parse(try_from_str) )] addr: SocketAddr, }, #[structopt(name = "rm", about = "Remove a given string key")] Remove { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt( long, help = "Sets the server address", raw(value_name = "ADDRESS_FORMAT"), raw(default_value = "DEFAULT_LISTENING_ADDRESS"), parse(try_from_str) )] addr: SocketAddr, }, } fn main() { let opt = Opt::from_args(); if let Err(e) = run(opt) { eprintln!("{}", e); exit(1); } } fn run(opt: Opt) -> Result<()> { match opt.command { Command::Get { key, addr } => { let mut client = KvsClient::connect(addr)?; if let Some(value) = client.get(key)? { println!("{}", value); } else { println!("Key not found"); } } Command::Set { key, value, addr } => { let mut client = KvsClient::connect(addr)?; client.set(key, value)?; } Command::Remove { key, addr } => { let mut client = KvsClient::connect(addr)?; client.remove(key)?; } } Ok(()) } ================================================ FILE: courses/rust/projects/project-3/src/bin/kvs-server.rs ================================================ use clap::arg_enum; use kvs::*; use log::LevelFilter; use log::{error, info, warn}; use std::env::current_dir; use std::fs; use std::net::SocketAddr; use std::process::exit; use structopt::StructOpt; const DEFAULT_LISTENING_ADDRESS: &str = "127.0.0.1:4000"; const DEFAULT_ENGINE: Engine = Engine::kvs; #[derive(StructOpt, Debug)] #[structopt(name = "kvs-server")] struct Opt { #[structopt( long, help = "Sets the listening address", value_name = "IP:PORT", raw(default_value = "DEFAULT_LISTENING_ADDRESS"), parse(try_from_str) )] addr: SocketAddr, #[structopt( long, help = "Sets the storage engine", value_name = "ENGINE-NAME", raw(possible_values = "&Engine::variants()") )] engine: Option, } arg_enum! { #[allow(non_camel_case_types)] #[derive(Debug, Copy, Clone, PartialEq, Eq)] enum Engine { kvs, sled } } fn main() { env_logger::builder().filter_level(LevelFilter::Info).init(); let mut opt = Opt::from_args(); let res = current_engine().and_then(move |curr_engine| { if opt.engine.is_none() { opt.engine = curr_engine; } if curr_engine.is_some() && opt.engine != curr_engine { error!("Wrong engine!"); exit(1); } run(opt) }); if let Err(e) = res { error!("{}", e); exit(1); } } fn run(opt: Opt) -> Result<()> { let engine = opt.engine.unwrap_or(DEFAULT_ENGINE); info!("kvs-server {}", env!("CARGO_PKG_VERSION")); info!("Storage engine: {}", engine); info!("Listening on {}", opt.addr); // write engine to engine file fs::write(current_dir()?.join("engine"), format!("{}", engine))?; match engine { Engine::kvs => run_with_engine(KvStore::open(current_dir()?)?, opt.addr), Engine::sled => run_with_engine(SledKvsEngine::new(sled::open(current_dir()?)?), opt.addr), } } fn run_with_engine(engine: E, addr: SocketAddr) -> Result<()> { let server = KvsServer::new(engine); server.run(addr) } fn current_engine() -> Result> { let engine = current_dir()?.join("engine"); if !engine.exists() { return Ok(None); } match fs::read_to_string(engine)?.parse() { Ok(engine) => Ok(Some(engine)), Err(e) => { warn!("The content of engine file is invalid: {}", e); Ok(None) } } } ================================================ FILE: courses/rust/projects/project-3/src/client.rs ================================================ use crate::common::{GetResponse, RemoveResponse, Request, SetResponse}; use crate::{KvsError, Result}; use serde::Deserialize; use serde_json::de::{Deserializer, IoRead}; use std::io::{BufReader, BufWriter, Write}; use std::net::{TcpStream, ToSocketAddrs}; /// Key value store client pub struct KvsClient { reader: Deserializer>>, writer: BufWriter, } impl KvsClient { /// Connect to `addr` to access `KvsServer`. pub fn connect(addr: A) -> Result { let tcp_reader = TcpStream::connect(addr)?; let tcp_writer = tcp_reader.try_clone()?; Ok(KvsClient { reader: Deserializer::from_reader(BufReader::new(tcp_reader)), writer: BufWriter::new(tcp_writer), }) } /// Get the value of a given key from the server. pub fn get(&mut self, key: String) -> Result> { serde_json::to_writer(&mut self.writer, &Request::Get { key })?; self.writer.flush()?; let resp = GetResponse::deserialize(&mut self.reader)?; match resp { GetResponse::Ok(value) => Ok(value), GetResponse::Err(msg) => Err(KvsError::StringError(msg)), } } /// Set the value of a string key in the server. pub fn set(&mut self, key: String, value: String) -> Result<()> { serde_json::to_writer(&mut self.writer, &Request::Set { key, value })?; self.writer.flush()?; let resp = SetResponse::deserialize(&mut self.reader)?; match resp { SetResponse::Ok(_) => Ok(()), SetResponse::Err(msg) => Err(KvsError::StringError(msg)), } } /// Remove a string key in the server. pub fn remove(&mut self, key: String) -> Result<()> { serde_json::to_writer(&mut self.writer, &Request::Remove { key })?; self.writer.flush()?; let resp = RemoveResponse::deserialize(&mut self.reader)?; match resp { RemoveResponse::Ok(_) => Ok(()), RemoveResponse::Err(msg) => Err(KvsError::StringError(msg)), } } } ================================================ FILE: courses/rust/projects/project-3/src/common.rs ================================================ use serde::{Deserialize, Serialize}; #[derive(Debug, Serialize, Deserialize)] pub enum Request { Get { key: String }, Set { key: String, value: String }, Remove { key: String }, } #[derive(Debug, Serialize, Deserialize)] pub enum GetResponse { Ok(Option), Err(String), } #[derive(Debug, Serialize, Deserialize)] pub enum SetResponse { Ok(()), Err(String), } #[derive(Debug, Serialize, Deserialize)] pub enum RemoveResponse { Ok(()), Err(String), } ================================================ FILE: courses/rust/projects/project-3/src/engines/kvs.rs ================================================ use std::collections::{BTreeMap, HashMap}; use std::fs::{self, File, OpenOptions}; use std::io::{self, BufReader, BufWriter, Read, Seek, SeekFrom, Write}; use std::ops::Range; use std::path::{Path, PathBuf}; use serde::{Deserialize, Serialize}; use serde_json::Deserializer; use super::KvsEngine; use crate::{KvsError, Result}; use std::ffi::OsStr; const COMPACTION_THRESHOLD: u64 = 1024 * 1024; /// The `KvStore` stores string key/value pairs. /// /// Key/value pairs are persisted to disk in log files. Log files are named after /// monotonically increasing generation numbers with a `log` extension name. /// A `BTreeMap` in memory stores the keys and the value locations for fast query. /// /// ```rust /// # use kvs::{KvStore, Result}; /// # fn try_main() -> Result<()> { /// use std::env::current_dir; /// use kvs::KvsEngine; /// let mut store = KvStore::open(current_dir()?)?; /// store.set("key".to_owned(), "value".to_owned())?; /// let val = store.get("key".to_owned())?; /// assert_eq!(val, Some("value".to_owned())); /// # Ok(()) /// # } /// ``` pub struct KvStore { // directory for the log and other data path: PathBuf, // map generation number to the file reader readers: HashMap>, // writer of the current log writer: BufWriterWithPos, current_gen: u64, index: BTreeMap, // the number of bytes representing "stale" commands that could be // deleted during a compaction uncompacted: u64, } impl KvStore { /// Opens a `KvStore` with the given path. /// /// This will create a new directory if the given one does not exist. /// /// # Errors /// /// It propagates I/O or deserialization errors during the log replay. pub fn open(path: impl Into) -> Result { let path = path.into(); fs::create_dir_all(&path)?; let mut readers = HashMap::new(); let mut index = BTreeMap::new(); let gen_list = sorted_gen_list(&path)?; let mut uncompacted = 0; for &gen in &gen_list { let mut reader = BufReaderWithPos::new(File::open(log_path(&path, gen))?)?; uncompacted += load(gen, &mut reader, &mut index)?; readers.insert(gen, reader); } let current_gen = gen_list.last().unwrap_or(&0) + 1; let writer = new_log_file(&path, current_gen, &mut readers)?; Ok(KvStore { path, readers, writer, current_gen, index, uncompacted, }) } /// Clears stale entries in the log. pub fn compact(&mut self) -> Result<()> { // increase current gen by 2. current_gen + 1 is for the compaction file let compaction_gen = self.current_gen + 1; self.current_gen += 2; self.writer = self.new_log_file(self.current_gen)?; let mut compaction_writer = self.new_log_file(compaction_gen)?; let mut new_pos = 0; // pos in the new log file for cmd_pos in &mut self.index.values_mut() { let reader = self .readers .get_mut(&cmd_pos.gen) .expect("Cannot find log reader"); if reader.pos != cmd_pos.pos { reader.seek(SeekFrom::Start(cmd_pos.pos))?; } let mut entry_reader = reader.take(cmd_pos.len); let len = io::copy(&mut entry_reader, &mut compaction_writer)?; *cmd_pos = (compaction_gen, new_pos..new_pos + len).into(); new_pos += len; } compaction_writer.flush()?; // remove stale log files let stale_gens: Vec<_> = self .readers .keys() .filter(|&&gen| gen < compaction_gen) .cloned() .collect(); for stale_gen in stale_gens { self.readers.remove(&stale_gen); fs::remove_file(log_path(&self.path, stale_gen))?; } self.uncompacted = 0; Ok(()) } /// Create a new log file with given generation number and add the reader to the readers map. /// /// Returns the writer to the log. fn new_log_file(&mut self, gen: u64) -> Result> { new_log_file(&self.path, gen, &mut self.readers) } } impl KvsEngine for KvStore { /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. /// /// # Errors /// /// It propagates I/O or serialization errors during writing the log. fn set(&mut self, key: String, value: String) -> Result<()> { let cmd = Command::set(key, value); let pos = self.writer.pos; serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Set { key, .. } = cmd { if let Some(old_cmd) = self .index .insert(key, (self.current_gen, pos..self.writer.pos).into()) { self.uncompacted += old_cmd.len; } } if self.uncompacted > COMPACTION_THRESHOLD { self.compact()?; } Ok(()) } /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. fn get(&mut self, key: String) -> Result> { if let Some(cmd_pos) = self.index.get(&key) { let reader = self .readers .get_mut(&cmd_pos.gen) .expect("Cannot find log reader"); reader.seek(SeekFrom::Start(cmd_pos.pos))?; let cmd_reader = reader.take(cmd_pos.len); if let Command::Set { value, .. } = serde_json::from_reader(cmd_reader)? { Ok(Some(value)) } else { Err(KvsError::UnexpectedCommandType) } } else { Ok(None) } } /// Removes a given key. /// /// # Error /// /// It returns `KvsError::KeyNotFound` if the given key is not found. /// /// It propagates I/O or serialization errors during writing the log. fn remove(&mut self, key: String) -> Result<()> { if self.index.contains_key(&key) { let cmd = Command::remove(key); serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Remove { key } = cmd { let old_cmd = self.index.remove(&key).expect("key not found"); self.uncompacted += old_cmd.len; } Ok(()) } else { Err(KvsError::KeyNotFound) } } } /// Create a new log file with given generation number and add the reader to the readers map. /// /// Returns the writer to the log. fn new_log_file( path: &Path, gen: u64, readers: &mut HashMap>, ) -> Result> { let path = log_path(&path, gen); let writer = BufWriterWithPos::new( OpenOptions::new() .create(true) .write(true) .append(true) .open(&path)?, )?; readers.insert(gen, BufReaderWithPos::new(File::open(&path)?)?); Ok(writer) } /// Returns sorted generation numbers in the given directory fn sorted_gen_list(path: &Path) -> Result> { let mut gen_list: Vec = fs::read_dir(&path)? .flat_map(|res| -> Result<_> { Ok(res?.path()) }) .filter(|path| path.is_file() && path.extension() == Some("log".as_ref())) .flat_map(|path| { path.file_name() .and_then(OsStr::to_str) .map(|s| s.trim_end_matches(".log")) .map(str::parse::) }) .flatten() .collect(); gen_list.sort_unstable(); Ok(gen_list) } /// Load the whole log file and store value locations in the index map. /// /// Returns how many bytes can be saved after a compaction. fn load( gen: u64, reader: &mut BufReaderWithPos, index: &mut BTreeMap, ) -> Result { // To make sure we read from the beginning of the file let mut pos = reader.seek(SeekFrom::Start(0))?; let mut stream = Deserializer::from_reader(reader).into_iter::(); let mut uncompacted = 0; // number of bytes that can be saved after a compaction while let Some(cmd) = stream.next() { let new_pos = stream.byte_offset() as u64; match cmd? { Command::Set { key, .. } => { if let Some(old_cmd) = index.insert(key, (gen, pos..new_pos).into()) { uncompacted += old_cmd.len; } } Command::Remove { key } => { if let Some(old_cmd) = index.remove(&key) { uncompacted += old_cmd.len; } // the "remove" command itself can be deleted in the next compaction // so we add its length to `uncompacted` uncompacted += new_pos - pos; } } pos = new_pos; } Ok(uncompacted) } fn log_path(dir: &Path, gen: u64) -> PathBuf { dir.join(format!("{}.log", gen)) } /// Struct representing a command #[derive(Serialize, Deserialize, Debug)] enum Command { Set { key: String, value: String }, Remove { key: String }, } impl Command { fn set(key: String, value: String) -> Command { Command::Set { key, value } } fn remove(key: String) -> Command { Command::Remove { key } } } /// Represents the position and length of a json-serialized command in the log struct CommandPos { gen: u64, pos: u64, len: u64, } impl From<(u64, Range)> for CommandPos { fn from((gen, range): (u64, Range)) -> Self { CommandPos { gen, pos: range.start, len: range.end - range.start, } } } struct BufReaderWithPos { reader: BufReader, pos: u64, } impl BufReaderWithPos { fn new(mut inner: R) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufReaderWithPos { reader: BufReader::new(inner), pos, }) } } impl Read for BufReaderWithPos { fn read(&mut self, buf: &mut [u8]) -> io::Result { let len = self.reader.read(buf)?; self.pos += len as u64; Ok(len) } } impl Seek for BufReaderWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.reader.seek(pos)?; Ok(self.pos) } } struct BufWriterWithPos { writer: BufWriter, pos: u64, } impl BufWriterWithPos { fn new(mut inner: W) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufWriterWithPos { writer: BufWriter::new(inner), pos, }) } } impl Write for BufWriterWithPos { fn write(&mut self, buf: &[u8]) -> io::Result { let len = self.writer.write(buf)?; self.pos += len as u64; Ok(len) } fn flush(&mut self) -> io::Result<()> { self.writer.flush() } } impl Seek for BufWriterWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.writer.seek(pos)?; Ok(self.pos) } } ================================================ FILE: courses/rust/projects/project-3/src/engines/mod.rs ================================================ //! This module provides various key value storage engines. use crate::Result; /// Trait for a key value storage engine. pub trait KvsEngine { /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. fn set(&mut self, key: String, value: String) -> Result<()>; /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. fn get(&mut self, key: String) -> Result>; /// Removes a given key. /// /// # Errors /// /// It returns `KvsError::KeyNotFound` if the given key is not found. fn remove(&mut self, key: String) -> Result<()>; } mod kvs; mod sled; pub use self::kvs::KvStore; pub use self::sled::SledKvsEngine; ================================================ FILE: courses/rust/projects/project-3/src/engines/sled.rs ================================================ use super::KvsEngine; use crate::{KvsError, Result}; use sled::{Db, Tree}; /// Wrapper of `sled::Db` #[derive(Clone)] pub struct SledKvsEngine(Db); impl SledKvsEngine { /// Creates a `SledKvsEngine` from `sled::Db`. pub fn new(db: Db) -> Self { SledKvsEngine(db) } } impl KvsEngine for SledKvsEngine { fn set(&mut self, key: String, value: String) -> Result<()> { let tree: &Tree = &self.0; tree.insert(key, value.into_bytes()).map(|_| ())?; tree.flush()?; Ok(()) } fn get(&mut self, key: String) -> Result> { let tree: &Tree = &self.0; Ok(tree .get(key)? .map(|i_vec| AsRef::<[u8]>::as_ref(&i_vec).to_vec()) .map(String::from_utf8) .transpose()?) } fn remove(&mut self, key: String) -> Result<()> { let tree: &Tree = &self.0; tree.remove(key)?.ok_or(KvsError::KeyNotFound)?; tree.flush()?; Ok(()) } } ================================================ FILE: courses/rust/projects/project-3/src/error.rs ================================================ use failure::Fail; use std::io; use std::string::FromUtf8Error; /// Error type for kvs #[derive(Fail, Debug)] pub enum KvsError { /// IO error #[fail(display = "IO error: {}", _0)] Io(#[cause] io::Error), /// Serialization or deserialization error #[fail(display = "serde_json error: {}", _0)] Serde(#[cause] serde_json::Error), /// Removing non-existent key error #[fail(display = "Key not found")] KeyNotFound, /// Unexpected command type error. /// It indicated a corrupted log or a program bug. #[fail(display = "Unexpected command type")] UnexpectedCommandType, /// Key or value is invalid UTF-8 sequence #[fail(display = "UTF-8 error: {}", _0)] Utf8(#[cause] FromUtf8Error), /// Sled error #[fail(display = "sled error: {}", _0)] Sled(#[cause] sled::Error), /// Error with a string message #[fail(display = "{}", _0)] StringError(String), } impl From for KvsError { fn from(err: io::Error) -> KvsError { KvsError::Io(err) } } impl From for KvsError { fn from(err: serde_json::Error) -> KvsError { KvsError::Serde(err) } } impl From for KvsError { fn from(err: FromUtf8Error) -> KvsError { KvsError::Utf8(err) } } impl From for KvsError { fn from(err: sled::Error) -> KvsError { KvsError::Sled(err) } } /// Result type for kvs pub type Result = std::result::Result; ================================================ FILE: courses/rust/projects/project-3/src/lib.rs ================================================ #![deny(missing_docs)] //! A simple key/value store. pub use client::KvsClient; pub use engines::{KvStore, KvsEngine, SledKvsEngine}; pub use error::{KvsError, Result}; pub use server::KvsServer; mod client; mod common; mod engines; mod error; mod server; ================================================ FILE: courses/rust/projects/project-3/src/server.rs ================================================ use crate::common::{GetResponse, RemoveResponse, Request, SetResponse}; use crate::{KvsEngine, Result}; use log::{debug, error}; use serde_json::Deserializer; use std::io::{BufReader, BufWriter, Write}; use std::net::{TcpListener, TcpStream, ToSocketAddrs}; /// The server of a key value store. pub struct KvsServer { engine: E, } impl KvsServer { /// Create a `KvsServer` with a given storage engine. pub fn new(engine: E) -> Self { KvsServer { engine } } /// Run the server listening on the given address pub fn run(mut self, addr: A) -> Result<()> { let listener = TcpListener::bind(addr)?; for stream in listener.incoming() { match stream { Ok(stream) => { if let Err(e) = self.serve(stream) { error!("Error on serving client: {}", e); } } Err(e) => error!("Connection failed: {}", e), } } Ok(()) } fn serve(&mut self, tcp: TcpStream) -> Result<()> { let peer_addr = tcp.peer_addr()?; let reader = BufReader::new(&tcp); let mut writer = BufWriter::new(&tcp); let req_reader = Deserializer::from_reader(reader).into_iter::(); macro_rules! send_resp { ($resp:expr) => {{ let resp = $resp; serde_json::to_writer(&mut writer, &resp)?; writer.flush()?; debug!("Response sent to {}: {:?}", peer_addr, resp); };}; } for req in req_reader { let req = req?; debug!("Receive request from {}: {:?}", peer_addr, req); match req { Request::Get { key } => send_resp!(match self.engine.get(key) { Ok(value) => GetResponse::Ok(value), Err(e) => GetResponse::Err(format!("{}", e)), }), Request::Set { key, value } => send_resp!(match self.engine.set(key, value) { Ok(_) => SetResponse::Ok(()), Err(e) => SetResponse::Err(format!("{}", e)), }), Request::Remove { key } => send_resp!(match self.engine.remove(key) { Ok(_) => RemoveResponse::Ok(()), Err(e) => RemoveResponse::Err(format!("{}", e)), }), }; } Ok(()) } } ================================================ FILE: courses/rust/projects/project-3/tests/cli.rs ================================================ use assert_cmd::prelude::*; use predicates::str::{contains, is_empty}; use std::fs::{self, File}; use std::process::Command; use std::sync::mpsc; use std::thread; use std::time::Duration; use tempfile::TempDir; // `kvs-client` with no args should exit with a non-zero code. #[test] fn client_cli_no_args() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-client").unwrap(); cmd.current_dir(&temp_dir).assert().failure(); } #[test] fn client_cli_invalid_get() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "extra", "field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_set() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "missing_field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key", "value", "extra_field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key", "value", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_rm() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "extra", "field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_subcommand() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["unknown"]) .current_dir(&temp_dir) .assert() .failure(); } // `kvs-client -V` should print the version #[test] fn client_cli_version() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-client").unwrap(); cmd.args(&["-V"]) .current_dir(&temp_dir) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } // `kvs-server -V` should print the version #[test] fn server_cli_version() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["-V"]) .current_dir(&temp_dir) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } #[test] fn cli_log_configuration() { let temp_dir = TempDir::new().unwrap(); let stderr_path = temp_dir.path().join("stderr"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "kvs", "--addr", "127.0.0.1:4001"]) .current_dir(&temp_dir) .stderr(File::create(&stderr_path).unwrap()) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let content = fs::read_to_string(&stderr_path).expect("unable to read from stderr file"); assert!(content.contains(env!("CARGO_PKG_VERSION"))); assert!(content.contains("kvs")); assert!(content.contains("127.0.0.1:4001")); } #[test] fn cli_wrong_engine() { // sled first, kvs second { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "sled", "--addr", "127.0.0.1:4002"]) .current_dir(&temp_dir) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["--engine", "kvs", "--addr", "127.0.0.1:4003"]) .current_dir(&temp_dir) .assert() .failure(); } // kvs first, sled second { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "kvs", "--addr", "127.0.0.1:4002"]) .current_dir(&temp_dir) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["--engine", "sled", "--addr", "127.0.0.1:4003"]) .current_dir(&temp_dir) .assert() .failure(); } } fn cli_access_server(engine: &str, addr: &str) { let (sender, receiver) = mpsc::sync_channel(0); let temp_dir = TempDir::new().unwrap(); let mut server = Command::cargo_bin("kvs-server").unwrap(); let mut child = server .args(&["--engine", engine, "--addr", addr]) .current_dir(&temp_dir) .spawn() .unwrap(); let handle = thread::spawn(move || { let _ = receiver.recv(); // wait for main thread to finish child.kill().expect("server exited before killed"); }); thread::sleep(Duration::from_secs(1)); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key1", "value1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout("value1\n"); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key1", "value2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout("value2\n"); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("Key not found")); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .failure() .stderr(contains("Key not found")); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key2", "value3", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); sender.send(()).unwrap(); handle.join().unwrap(); // Reopen and check value let (sender, receiver) = mpsc::sync_channel(0); let mut server = Command::cargo_bin("kvs-server").unwrap(); let mut child = server .args(&["--engine", engine, "--addr", addr]) .current_dir(&temp_dir) .spawn() .unwrap(); let handle = thread::spawn(move || { let _ = receiver.recv(); // wait for main thread to finish child.kill().expect("server exited before killed"); }); thread::sleep(Duration::from_secs(1)); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("value3")); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("Key not found")); sender.send(()).unwrap(); handle.join().unwrap(); } #[test] fn cli_access_server_kvs_engine() { cli_access_server("kvs", "127.0.0.1:4004"); } #[test] fn cli_access_server_sled_engine() { cli_access_server("sled", "127.0.0.1:4005"); } ================================================ FILE: courses/rust/projects/project-3/tests/kv_store.rs ================================================ use kvs::{KvStore, KvsEngine, Result}; use tempfile::TempDir; use walkdir::WalkDir; // Should get previously stored value #[test] fn get_stored_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; store.set("key2".to_owned(), "value2".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); assert_eq!(store.get("key2".to_owned())?, Some("value2".to_owned())); // Open from disk again and check persistent data drop(store); let mut store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); assert_eq!(store.get("key2".to_owned())?, Some("value2".to_owned())); Ok(()) } // Should overwrite existent value #[test] fn overwrite_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); store.set("key1".to_owned(), "value2".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value2".to_owned())); // Open from disk again and check persistent data drop(store); let mut store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key1".to_owned())?, Some("value2".to_owned())); store.set("key1".to_owned(), "value3".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value3".to_owned())); Ok(()) } // Should get `None` when getting a non-existent key #[test] fn get_non_existent_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert_eq!(store.get("key2".to_owned())?, None); // Open from disk again and check persistent data drop(store); let mut store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key2".to_owned())?, None); Ok(()) } #[test] fn remove_non_existent_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; assert!(store.remove("key1".to_owned()).is_err()); Ok(()) } #[test] fn remove_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert!(store.remove("key1".to_owned()).is_ok()); assert_eq!(store.get("key1".to_owned())?, None); Ok(()) } // Insert data until total size of the directory decreases. // Test data correctness after compaction. #[test] fn compaction() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let mut store = KvStore::open(temp_dir.path())?; let dir_size = || { let entries = WalkDir::new(temp_dir.path()).into_iter(); let len: walkdir::Result = entries .map(|res| { res.and_then(|entry| entry.metadata()) .map(|metadata| metadata.len()) }) .sum(); len.expect("fail to get directory size") }; let mut current_size = dir_size(); for iter in 0..1000 { for key_id in 0..1000 { let key = format!("key{}", key_id); let value = format!("{}", iter); store.set(key, value)?; } let new_size = dir_size(); if new_size > current_size { current_size = new_size; continue; } // Compaction triggered drop(store); // reopen and check content let mut store = KvStore::open(temp_dir.path())?; for key_id in 0..1000 { let key = format!("key{}", key_id); assert_eq!(store.get(key)?, Some(format!("{}", iter))); } return Ok(()); } panic!("No compaction detected"); } ================================================ FILE: courses/rust/projects/project-4/Cargo.toml ================================================ [package] name = "kvs" version = "0.1.0" authors = ["Yilin Chen "] description = "A key-value store" edition = "2018" [dependencies] clap = "2.33.0" structopt = "0.2.15" failure = "0.1.5" serde = { version = "1.0.89", features = ["derive"] } serde_json = "1.0.39" log = "0.4.6" env_logger = "0.6.1" sled = "0.34.6" crossbeam = "0.7.1" rayon = "1.0.3" num_cpus = "1.10.0" crossbeam-skiplist = { git = "https://github.com/crossbeam-rs/crossbeam.git", branch = "master" } [dev-dependencies] assert_cmd = "0.11" criterion = "0.3" crossbeam-utils = "0.6.5" predicates = "1.0.0" rand = "0.6.5" tempfile = "3.0.7" walkdir = "2.2.7" panic-control = "0.1.4" ================================================ FILE: courses/rust/projects/project-4/README.md ================================================ # PNA Rust Project 4: Concurrency and parallelism **Task**: Create a _multi-threaded_, persistent key/value store server and client with synchronous networking over a custom protocol. **Goals**: - Write a simple thread pool - Use channels for cross-thread communication - Share data structures with locks - Perform read operations without locks - Benchmark single-threaded vs multithreaded **Topics**: thread pools, channels, locks, lock-free data structures, atomics, parameterized benchmarking. - [Introduction](#user-content-introduction) - [Project spec](#user-content-project-spec) - [Project setup](#user-content-project-setup) - [Background: blocking and multithreading](#user-content-background-blocking-and-multithreading) - [Part 1: Multithreading](#user-content-part-1-multithreading) - [Part 2: Creating a shared `KvsEngine`](#user-content-part-2-creating-a-shared-kvsengine) - [Part 3: Adding multithreading to `KvServer`](#user-content-part-3-adding-multithreading-to-kvserver) - [Part 4: Creating a real thread pool](#user-content-part-4-creating-a-real-thread-pool) - [So how do you build a thread pool?](#user-content-so-how-do-you-build-a-thread-pool) - [Part 5: Abstracted thread pools](#user-content-part-5-abstracted-thread-pools) - [Part 6: Evaluating your thread pool](#user-content-part-6-evaluating-your-thread-pool) - [Ok, now to the first two benchmarks](#user-content-ok-now-to-the-first-two-benchmarks) - [Part 7: Evaluating other thread pools and engines](#user-content-part-7-evaluating-other-thread-pools-and-engines) - [Extension 1: Comparing functions](#user-content-extension-1-comparing-functions) - [Background: The limits of locks](#user-content-background-the-limits-of-locks) - [Part 8: Lock-free readers](#user-content-part-8-lock-free-readers) - [Explaining our example data structure](#user-content-explaining-our-example-data-structure) - [Strategies for breaking up locks](#user-content-strategies-for-breaking-up-locks) - [Understand and maintain sequential consistency](#user-content-understand-and-maintain-sequential-consistency) - [Identify immutable values](#user-content-identify-immutable-values) - [Duplicate values instead of sharing](#user-content-duplicate-values-instead-of-sharing) - [Break up data structures by role](#user-content-break-up-data-structures-by-role) - [Use specialized concurrent data structures](#user-content-use-specialized-concurrent-data-structures) - [Postpone cleanup until later](#user-content-postpone-cleanup-until-later) - [Share flags and counters with atomics](#user-content-share-flags-and-counters-with-atomics) - [Implement lock-free readers](#user-content-implement-lock-free-readers) ## Introduction In this project you will create a simple key/value server and client that communicate over a custom protocol. The server will use synchronous networking, and will respond to multiple requests using increasingly sophisticated concurrent implementations. The in-memory index will become a concurrent data structure, shared by all threads, and compaction will be done on a dedicated thread, to reduce latency of individual requests. ## Project spec The cargo project, `kvs`, builds a command-line key-value store client called `kvs-client`, and a key-value store server called `kvs-server`, both of which in turn call into a library called `kvs`. The client speaks to the server over a custom protocol. The interface to the CLI is the same as in the [previous project]. The difference this time is in the concurrent implementation, which will be described as we work through it. [previous project]: ../project-3/README.md The library interface is nearly the same except for two things. First this time all the `KvsEngine`, `KvStore`, etc. methods take `&self` instead of `&mut self`, and now it implements `Clone`. This is common with concurrent data structures. Why is that? It's not that we're not going to be writing immutable code. It _is_ though going to be shared across threads. Why might that preclude using `&mut self` in the method signatures? If you don't know now, it will become obvious by the end of this project. The second is that the library in this project contains a new _trait_, `ThreadPool`. It contains the following methods: - `ThreadPool::new(threads: u32) -> Result` Creates a new thread pool, immediately spawning the specified number of threads. Returns an error if any thread fails to spawn. All previously-spawned threads are terminated. - `ThreadPool::spawn(&self, job: F) where F: FnOnce() + Send + 'static` Spawn a function into the threadpool. Spawning always succeeds, but if the function panics the threadpool continues to operate with the same number of threads — the thread count is not reduced nor is the thread pool destroyed, corrupted or invalidated. By the end of this project there will be several implementations of this trait, and you will again perform benchmarking to compare them. This project should not require any changes at all to the client code. ## Project setup Continuing from your previous project, delete your previous `tests` directory and copy this project's `tests` directory into its place. This project should contain a library named `kvs`, and two executables, `kvs-server` and `kvs-client`. You need the following dev-dependencies in your `Cargo.toml`: ```toml [dev-dependencies] assert_cmd = "0.11" criterion = "0.2.11" crossbeam-utils = "0.6.5" predicates = "1.0.0" rand = "0.6.5" tempfile = "3.0.7" walkdir = "2.2.7" panic-control = "0.1.4" ``` As with previous projects, add enough definitions that the test suite builds. ## Background: blocking and multithreading Until now you have serviced all of your requests, both read and write (e.g. "get" and "set"), on a single thread. In other words, all the requests in your database are _serialized_. Using a diagram we are going to repeat through this project, the flow of time looks like this: ``` thread + +--------+--------+--------+--------+ T1 | | R1 | R2 | W1 | W2 | + +--------+--------+--------+--------+ --> read/write reqs over time --> ``` Both read and write operations may require _blocking_. Blocking is when a thread stops execution while waiting for access to a resource, like data from a file, or a variable protected by a lock. While a thread is blocked on one task it can't make progress on another task. So in an I/O heavy system, any particular request might spend _most_ of its time just waiting on the operating system and memory control to move data to and from the disk: ``` +---------+----------------------------+---------+ R1 | working | waiting for data ... | working | +---------+----------------------------+---------+ --> time --> ``` The simplest way to put the CPU back to work while one request is blocked is to service requests on multiple threads, so that ideally our requests are all processed concurrently, and — if we have enough CPUs — in parallel: ``` thread + +--------+ T1 | | R1 | | +--------+ T2 | | R2 | | +--------+ T3 | | W1 | | +--------+ T4 | | W2 | + +--------+ --> read/write reqs over time --> ``` So that will be the focus of this project — to process requests in parallel. ## Part 1: Multithreading Your first try at introducing concurrency is going to be the simplest: spawning a new thread per incoming connection, and responding to the request on that connection, then letting the thread exit. What performance benefits will distributing work across threads provide? How do you expect latency will be affected? What about throughput? The first step is to write a `ThreadPool` implementation for this naive approach, where `ThreadPool::spawn` will create a new thread for each spawned job. Call it `NaiveThreadPool` (it's not _really_ even a thread _pool_ since this implementation is not going to reuse threads between jobs, but it needs to conform to our trait for later comparisons). We aren't focusing on a more sophisticated implementation now because simply integrating this solution into our existing design is going to take some effort. Note that the `ThreadPool::new` constructor takes a `threads` argument specifying the number of threads in the pool. In this implementation it will be unused. _Go ahead and implement this version of `ThreadPool` now_, then we'll integrate it into the new `KvStore`. **Test cases to complete**: - `thread_pool::naive_thread_pool_*` ## Part 2: Creating a shared `KvsEngine` Before we can integrate the `NaiveThreadPool` into `KvServer` we have to make the `KvsEngine` trait and the `KvStore` implementation (for now you can ignore the `SledKvsEngine` from the previous project, but you can optionally re-implement it as an extension to this project). Recall from the project spec that, this time, our `KvsEngine` takes `self` as `&self` instead of `&mut self` as previously, It also implements `Clone`, which must be done explicitly for each implementation, as well as `Send + 'static`, implicit properties of the definition of each implementation. More concretely, it looks like ```rust pub trait KvsEngine: Clone + Send + 'static { fn set(&self, key: String, value: String) -> Result<()>; fn get(&self, key: String) -> Result>; fn remove(&self, key: String) -> Result<()>; } ``` This gives us a lot of clues about the implementation strategy we're pursuing. First, think about why the engine needs to implement `Clone` when we have a multithreaded implementation. Consider the design of other concurrent data types in Rust, like [`Arc`]. Now think about why that makes us use `&self` instead of `&mut self`. What do you know about shared mutable state? By the end of this project be sure you understand the implications here — _this is what Rust is all about_. [`Arc`]: https://doc.rust-lang.org/std/sync/struct.Arc.html In this model, `KvsEngine` behaves like a _handle_ to another object, and because that object is shared between threads, it probably needs to live on the [heap], and because that shared state can't be mutable it needs to be protected by some synchronization primitive. [heap]: https://stackoverflow.com/questions/79923/what-and-where-are-the-stack-and-heap So, _move the data inside your implementation of `KvsEngine`, `KvStore` onto the heap using a thread-safe shared pointer type and protect it behind a lock of your choosing_. Since `SledKvsEngine` implements `KvsEngine` it may also need to change. At this point your single-threaded `kvs-server` should work once again, but now with a `KvsEngine` that can later be shared across threads. **Test cases to complete**: - `kv_store::concurrent_*` ## Part 3: Adding multithreading to `KvServer` Let's quickly review our architecture here: `KvServer` sets up a TCP socket and begins listening on it; when it receives a request it deserializes it and calls some implementation of the `KvsEngine` trait to store or retrieve data; then it sends back the response. The details of how `KvsEngine` works don't matter to `KvServer`. So in the last project you probably created a loop vaguelly like: ```rust let listener = TcpListener::bind(addr)?; for stream in listener.incoming() { let cmd = self.read_cmd(&stream); let resp = self.process_cmd(cmd); self.respond(&stream, resp); } ``` _Well, now you just need to do the same thing, but spawn all the work inside the loop into your `NaiveThreadPool`_. The database query and the response are both handled on a different thread than the TCP listener. This offloads most of the hard work to other threads, allowing the recieving thread to process more requests. It should increase throughput, at least on multi-core machines. Again, you should still have a working client/server key-value store, now multithreaded. ## Part 4: Creating a real thread pool So now that you've got your multithreaded architecture in place, it's time to write a real thread pool. You probably wouldn't write your own thread pool in practice as there exist thread pool crates that are well-tested, but it is a useful exercise to gain experience with concurrency in general. Later in this project you will, as we did with the engine in the previous project, abstract the thread pool and compare the performance of yours with an existing. So, what is a thread pool? It's nothing complicated. Instead of creating a new thread for every multithreaded job to be performed, a thread pool maintains a "pool" of threads, and reuses those threads instead of creating a new one. But why? It's entirely about performance. Reusing threads saves a small amount of performance, but when writing high-performance applications, every bit counts. Imagine what it takes to make a new thread: You've got to have a call stack for that thread to run on. That call stack must be allocated. Allocations are pretty cheap, but not as cheap as no allocation. How that call stack is allocated depends on details of the operating system and runtime, but can involve locks and syscalls. Syscalls again are not _that_ expensive, but they are expensive when we're dealing with Rust levels of performance — reducing syscalls is a common source of easy optimizations. That stack then has to be carefully initialized so that first [stack frame] contains the appropriate values for the base pointer and whatever else is needed in the stack's initial [function prologue][fp]. In Rust the stack needs to be configured with a [guard page] to prevent stack overflows, preserving memory safety. That takes two more syscalls, [to `mmap` and to `mprotect`][mp] (though on Linux in particular, those two syscalls are avoided). [guard page]: https://docs.microsoft.com/en-us/windows/desktop/Memory/creating-guard-pages [fp]: https://en.wikipedia.org/wiki/Function_prologue [stack frame]: https://en.wikipedia.org/wiki/Stack_frame [2mb]: https://github.com/rust-lang/rust/blob/6635fbed4ca8c65822f99e994735bd1877fb063e/src/libstd/sys/unix/thread.rs#L12 [mp]: https://github.com/rust-lang/rust/blob/6635fbed4ca8c65822f99e994735bd1877fb063e/src/libstd/sys/unix/thread.rs#L315 That's just setting up the callstack. It's at least another syscall to create the new thread, at which point the kernel must do its own internal accounting for the new thread. In Rust, the C [libpthread] library handles most of this complexity. Then at some point the OS performs a [context switch] onto the new stack, and the thread runs. When the thread terminates all that work needs to be undone again. With a thread pool, all that setup overhead is only done for a few threads, and subsequent jobs are simply context switches into existing threads in the pool. [libpthread]: https://www.gnu.org/software/hurd/libpthread.html [context switch]: https://en.wikipedia.org/wiki/Context_switch ### So how do you build a thread pool? There are many strategies and tradeoffs, but for this exercise you are going to use a single shared queue to distribute work to idle threads. That means that your "producer", the thread that accepts network connections, sends jobs to a single queue (or channel), and the "consumers", every idle thread in the pool, read from that channel waiting for a job to execute. This is the very simplest work scheduling strategy, but it can be effective. What are the downsides? You have three important considerations here: 1) _which data structure to use to distribute the work_ — it's going to be a queue, and there is going to be one sender ("producer"), the thread listening for TCP connections, and many recievers ("consumers"), the threads in the pool. 2) _how to deal with panicking jobs_ — your pool runs arbitrary work items. If a thread panics, the thread pool needs to recover in some way. 3) _how to deal with shutdown_ — when the `ThreadPool` object goes out of scope it needs to shut down every thread. It must not leave them idle. These concerns are all intertwined since dealing with each of them may involve communication and synchronization between threads. Some solutions will be simple, the solutions to each of these working together gracefully; some solutions will be complex, the solutions being independent and convoluted. Choose your data structures carefully and use their capabilities wisely. You will distribute work by sending messages over some concurrent queue type (a concurrent queue in Rust typically being a data structure with two connected types: sender types, and reciever types; and that can send between the two types any type that implements `Send` + `'static`). Messages in Rust are typically represented as enums, with variants for each possible message that can be sent, like: ```rust enum ThreadPoolMessage { RunJob(Box), Shutdown, } ``` This tends to be a simpler and more efficient solution than trying to "juggle" multiple channels for different purposes. Of course, if there is only one type of message, an enum is not necessary. Now, the above example may or may not be the full set of messages you need to manage your thread pool, depending on the design. In particular, shutting down can often be done implicitly if your queue returns a result indicating that the sender has been destroyed. There are many types of multithreaded queues. In Rust the most common is the [`mpsc`] channel, because it lives in Rust's standard library. This is a multi-producer, single consumer queue, so using it for your single-queue thread pool will require a lock of some kind. What's the downside of using a lock here? There are many other concurrent queue types in Rust, and each has pros and cons. If you are willing to take a lock on both producer and consumer sides, then you could even use a `Mutex`, but there's probably no reason to do that in production when better solutions exist. [`mpsc`]: https://doc.rust-lang.org/std/sync/mpsc/index.html _Historical note: the existence of channels in Rust's standard library is a bit of a curiosity, and is considered a mistake by some, as it betrays Rust's general philosophy of keeping the standard library minimal, focused on abstracting the operating system, and letting the crate ecosystem experiment with advanced data structures. Their presence is an artifact of Rust's development history and origins as a message-passing language like Go. Other libraries like [`crossbeam`] provide more sophisticated alternatives, and sometimes more suitable options_ 😉. [`crossbeam`]: https://github.com/crossbeam-rs/crossbeam Your thread pool will need to deal with the case where the spawned function panics — simply letting panics destroy the threads in your pool would quickly deplete its available threads. So if a thread in your pool panics you need to make sure that the total number of threads doesn't decrease. So what should you do? You have at least two options: let the thread die and spawn another, or catch the panic and keep the existing thread running. What are the tradeoffs? You've got to pick one, but leave a comment in your code explaining your choice. Some of the tools at your disposal are [`thread::spawn`], [`thread::panicking`], [`catch_unwind`], [`mpsc`] channels, [`Mutex`], [crossbeam's MPMC channels][mpmc], and `thread`s [`JoinHandle`]. You may use any of these, but probably not all. [`thread::spawn`]: https://doc.rust-lang.org/std/thread/fn.spawn.html [`thread::panicking`]: https://doc.rust-lang.org/std/thread/fn.panicking.html [`catch_unwind`]: https://doc.rust-lang.org/std/panic/fn.catch_unwind.html [`mpsc`]: https://doc.rust-lang.org/std/sync/mpsc/index.html [`Mutex`]: https://doc.rust-lang.org/std/sync/struct.Mutex.html [mpmc]: https://docs.rs/crossbeam/0.7.1/crossbeam/channel/index.html [`JoinHandle`]: https://doc.rust-lang.org/std/thread/struct.JoinHandle.html _Create the `SharedQueueThreadPool` type, implementing `ThreadPool`_. **Test cases to complete**: - `shared_queue_thread_pool_*` Replace the `NaiveThreadPool` used by `KvServer` with `SharedQueueThreadPool`. Again your `kvs-server` should still work the same as previously, now with a slightly more clever multithreading model. This time you'll want to call the thread pool constructor with an appropriate number of threads. For now you can create a thread per CPU, using the [`num_cpus`] crate. We'll revisit the number of threads later. [`num_cpus`]: https://docs.rs/num_cpus/ ## Part 5: Abstracted thread pools As in the previous project where you created a `KvsEngine` abstraction to compare different implementations, now you are going to use the `ThreadPool` abstraction to do the same. If you haven't already, add a second type parameter to `KvServer` to represent the `ThreadPool` implementation, the constructor to accept the thread pool as its second argument, and use that threadpool to distribute the work. Finally create one more `ThreadPool` implementation, `RayonThreadPool`, using the `ThreadPool` type from the [`rayon`] crate. Rayon's thread pool uses a more sophisticated scheduling strategy called ["work stealing"][ws], and we'll expect it to perform better than ours, but who knows until we try! [`rayon`]: https://docs.rs/rayon/ [ws]: https://www.dre.vanderbilt.edu/~schmidt/PDF/work-stealing-dequeue.pdf ## Part 6: Evaluating your thread pool Now you are going to write _six_ benchmarks, one write-heavy workload comparing performance of `SharedQueueThreadPool` with varying numbers of threads, one read-heavy workload comparing the performance of `SharedQueueThreadPool` with varying number of threads; two more that use `RayonThreadPool` instead of of `SharedQueueThreadPool`, and finally, yet two more that use `RayonThreadPool` in conjunction with `SledKvsEngine`. It's not as much as work as it sounds — four of them are essentially duplicates of the first two. _Note: the next two sections describe a fairly complex set of benchmarks. They can be written (probably… nobody has done it yet), but it may be challenging both to understand and to write efficiently. These sections do introduce some useful criterion features, but if it's too overwhelming it's ok to skip [forward] (and file a bug about what didn't work for you). On the other hand, the difficulty here may present a good learning opportunity. Finally, implementing these benchmarks as described requires a way to shutdown `KvsServer` programmatically (i.e. without sending `SIGKILL` and letting the OS do it), which we have not previously discussed._ [forward]: #user-content-background-the-limit-of-locks So as part of this you will need to make sure the `SledKvsEngine` implementation you wrote as part of the previous project works again in this multithreaded context. It should be trivial as sled can be cloned and sent between threads, just like your engine. Hopefully the results will be interesting. Again you will use criterion. These are going to be _parameterized_ benchmarks, that is, single benchmarks that are run multiple times with different parameters. Criterion calls these [benchmarking with inputs][bi]. And the parameter to you benchmarks will be the number of threads in the thread pool. What you are attempting to test is the throughput of your server under various conditions. You will be sending many requests concurrently, waiting for the responses, then ending. One thing you should be curious about here is how the number of threads affects your throughput compared to the number of CPUs on your machine; how your threadpool compares to rayon's; and how your `KvStore` compares to `SledKvsEngine` in a multithreaded context. This will be somewhat complicated by the fact that your `KvsClient` is (probably) blocking, that is, it sends a request then waits for a response. If it was non-blocking, then you could send _many_ requests without waiting for responses, then collect the responses later. With a blocking `KvsClient` you will need to send each request in its own thread in order to saturate the server's capacity. When benchmarking it is important to understand exactly what code you are trying to measure, and to the greatest extent possible only measure that code. A benchmarker like criterion runs a single piece of code many times in a loop, measuring the time it takes through each loop. As such we want to put only the code we want to measure in the loop, and leave as much outside of the loop as we can. [bi]: https://bheisler.github.io/criterion.rs/book/user_guide/benchmarking_with_inputs.html So take this simple example of a criterion benchmark with inputs: ```rust let c = Criterion::default(); let inputs = &[1, 2, 3, 4, 5]; c.bench_function_over_inputs("example", |b, &&num| { b.iter(|| { // important measured work goes here }); }, inputs); ``` That `iter` calls your closure many times, measuring each iteration. But since you are going to need to set up a lot of threads beforehand, that is work that you don't want to measure. If you can do the setup only once for multiple iterations then the setup can go outside the closure, like ```rust let c = Criterion::default(); let inputs = &[1, 2, 3, 4, 5]; c.bench_function_over_inputs("example", |b, &&num| { // do setup here b.iter(|| { // important measured work goes here }); }, inputs); ``` The code inside the `b.iter` closure is what is measured, setup goes before. If the setup can't go before the loop, then another strategy is to make the amount of setup work for smaller than the amount of work you actually want to measure, by e.g. adding loops. Also consider that "teardown" of the benchmark, which will often mostly consist of running `drop` implementations, also has a cost. If you have a blocking client, you are going to need many threads for your clients, and you only have the opportunities to create those threads once, prior to the many iterations of your loop. So you'll need to set up a bunch of reusable threads before you iterate over the benchmark. Fortunately you have the perfect tool for that in your `SharedQueueThreadPool`. Set that up with a thread per request, and pair it with some channels to report back that the response is received, and you will have a suitable benchmark harness. ### Ok, now to the first two benchmarks We have said that this is a parameterized benchmark, and the parameter to the benchmark is the number of CPUs to use in the server's thread pool. We want to see what the throughput is like with just 1 thread, with 2, with 4, and then for every even number up to 2x the number of cores in your computer. Why 2x? Well, there may be benefits to having more threads than cores, and you are going to find out experimentally. For the write-heavy workload, during setup (the part that runs before the call to `b.iter(...)`), create the `KvServer`, with the thread pool containing the parameterized number of threads. Then write a workload that sets 1000 unique keys of the same length, all to the same value. Note that though the keys are different, for consistent results they need to be the same keys every benchmark loop. Then after each thread sets a value they should also `assert!` that the call was successful (to ensure there are no bugs under load), then indicate that it is done. When all threads are done the benchmarking thread continues and finishes that iteration. An obvious way to implement this signaling of completion is for each thread to send a message back to the benchmarking thread, but keep in mind that the signaling code is overhead unrelated to the code you are trying to measure, so it needs to do a minimal amount of work. Can you do it with only one message, or maybe with some other concurrent type that only signals the benchmarking thread once? Call this benchmark `write_queued_kvstore` (or whatever). For the read-heavy workload, during setup, create the `KvServer`, with the thread pool containing the parameterized number of threads, and create your client thread pool containing 1000 threads. Still in the setup phase, create yet another client and initialize 1000 unique keys of the same length, all to identical values. Then, during the benchmarking loop, from the client, spawn 1000 jobs that retrieve those same key/value pars, and then `assert!` that the result is correct. Finally, as before, send a message back to the benchmarking thread indicating that read is complete. Call this benchmark `read_queued_kvstore` (or whatever). **Whew. That was a lot of work**. So you can run this set of criterion benchmarks as usual with `cargo bench`. But this time you are going to do more. Since you are running the same benchmark over multiple parameters, representing the number of threads in your threadpool, what would be really nice is if we could see the effect of different thread counts in a nice graph. Oh, hey — criterion does that! Go back and read about [benchmarking with inputs][bi]. It explains how to see the graph of your benchmark against its inputs. What do you notice? What happens as your number of threads approaches the number of CPUs on your machine? What happens as the number of threads exceeds the number of threads on your machine? What do you think accounts for the trend you see? The results depend on many factors, so your results might be different from anybody elses. That's a good reason to always benchmark, and not speculate about performance. We can make educated guesses, but we don't know until we test. ## Part 7: Evaluating other thread pools and engines Ok. You've gotten the most difficult part of this benchmarking exercise out of the way. Now you've just got to do almost the same thing in a few more configurations. Take those two benchmarks you wrote previously, and just copy-and-past them three times. In all of them, change `SharedQueueThreadPool` to `RayonThreadPool`. The third and fourth, name `read/write_rayon_kvstore` (or whatever). These you will compare to the first two `SharedQueueThreadPool` implementations, to see the difference between yours and `RayonThreadPool`. The fourth and fifth, name `read/write_rayon_sledkvengine`, and change the engine to `SledKvsEngine`. These you will compare to the previous two to see how your `KvsEngine` compares to sled's in a multithreaded environment. As before, run and chart all these benchmarks. Compare them to each other as described above. How does your scheduler compare to rayon under various thread counts? How does your storage engine compare to sled under various thread counts? Are the results surprising? Can you imagine why the differences exist? ### Extension 1: Comparing functions Now you have identical benchmarks for three different thread pools, and you have run them and compared their performance yourself. Criterion has built-in support for comparing multiple implementations. Check out ["comparing functions"][cp] in the Criterion User Guide and modify your benchmarks so that criterion does the comparison itself. Check out those gorgeous graphs. [cp]: https://bheisler.github.io/criterion.rs/book/user_guide/comparing_functions.html ### Background: The limits of locks Earlier in this project, we suggested making your `KvsEngine` thread-safe by putting its internals behind a lock, on the heap. You probably realized immediately that this wasn't going to improve throughput because it traded one type of blocking for another — instead of _maybe_ blocking on disk access, it is now _definitely_ blocking on mutex access. So all we've achieved so far is this: ``` thread + +--------+ T1 | | R1 | | +-----------------+ T2 | | R2 | | +-----------------+ T3 | | W1 | | +-----------------+ T4 | | W2 | + +--------+ --> read/write reqs over time --> ``` In the previous section you benchmarked the multithreaded throughput of your engine vs. the `SledKvsEngine`. Hopefully what you discovered is that your multithreaded implementation performed significantly worse than the `sled` multithreaded implementation (if not, well, either you are super-awesome or `sled` has some problems). Adding multithreading has so far resulted in performance that is strictly worse than the single-threaded implementation — now you've got the added work of context switching between threads, and the guaranteed blocking imposed by the mutex. So for this part of the project, you are going to get a bit more sophisticated. Protecting the entire state behind a lock is easy — the entire state is always read and written atomically because only one client at a time has access to the entire state. But that also means that two threads that want to access the shared state must wait on each other. In other words, when `KvsEngine` is protected by a mutex then there is very little actual concurrency in the server, despite being multithreaded. High-performance, scalable, parallel software tends to avoid locks and lock contention as much as possible. Rust makes sophisticated and high-performance concurrency patterns easier than most languages (because you don't need to worry about data races and crashes), but it _does not_ protect you from making logical mistakes that would result in incorrect behavior. So you've still got to do some hard thinking about concurrency. Fortunately there are many sophisticated parallel-programming tools in the Rust crate ecosystem, so your task is usually just to understand what they are and how to put them together, not to understand how to write complex lock-free data structures of your own. Let's look at some progressively more sophisticated examples. We'll take an example single-threaded `KvStore` and consider how to make it thread-safe. Here's an example single-threaded `KvStore` like you might have created in earlier projects (this is a simplified version of the one in the course example project): ```rust pub struct KvStore { /// Directory for the log and other data path: PathBuf, /// The log reader reader: BufReaderWithPos, /// The log writer writer: BufWriterWithPos, /// The in-memory index from key to log pointer index: BTreeMap, /// The number of bytes representing "stale" commands that could be /// deleted during a compaction uncompacted: u64, } ``` And here's the simple multithreaded version, protecting everything with a lock. Hopefully what you've already written for this project looks something like this: ```rust #[derive(Clone)] pub struct KvStore(Arc>); #[derive(Clone)] pub struct SharedKvStore { /// Directory for the log and other data path: PathBuf, /// The log reader reader: BufReaderWithPos, /// The log writer writer: BufWriterWithPos, /// The in-memory index from key to log pointer index: BTreeMap, /// The number of bytes representing "stale" commands that could be /// deleted during a compaction uncompacted: u64, } ``` This `Arc>` solution is trivial, correct, and common: - The [`Arc`] puts the value on the heap so it can be shared between threads, and provides a `clone` method to create a "handle" to it for each thread. - The [`Mutex`] provides a way to regain write access to the value without having an existing `&mut` reference. [`Arc`]: https://doc.rust-lang.org/std/sync/struct.Arc.html [`Mutex`]: https://doc.rust-lang.org/std/sync/struct.Mutex.html This is a perfectly reasonable solution for many cases. But in this case that mutex will be a source of _contention_ under load: the `Mutex` doesn't only serialize write access to `SharedKvStore`, but read access as well. Any thread that wants to work with `KvStore` needs to wait for the `Mutex` to be unlocked by another thread. Any requests will block any other concurrent request. What we _really_ want is to not have to take locks, or — if locks are necessary — for them to rarely contend with other threads. The next step up in sophistication from a `Mutex` is the [`RwLock`], the "reader-writer lock". This is another common type of lock that every programmer of parallel software must know. The improvement that a reader-writer lock makes over a mutex is that it allows _either_ any number of readers, _or_ a single writer. So in Rust terms, a `RwLock` will hand out any number of `&` pointers simultaneously, or a single `&mut` pointer. Readers still block on writers and writers still block on readers and other writers. [`RwLock`]: https://doc.rust-lang.org/std/sync/struct.RwLock.html In our database that means that all read requests can be satisfied concurrently, but when a single write request comes in, all other activity in the system stops and waits for it. Implementing this is basically as simple as swapping the `Mutex` for `RwLock`. And, considering our multi-threading diagram again, the resulting process flow looks like: ``` thread + +--------+ T1 | | R1 | | +--------+ T2 | | R2 | | +-----------------+ T3 | | W1 | | +-----------------+ T4 | | W2 | + +--------+ --> read/write reqs over time --> ``` It's better, since the readers never block each other, but you can do better than that still. ## Part 8: Lock-free readers for this project you are challenged to create readers that never take a lock, even with a concurrent writer. A read request can always be serviced, regardless of write requests. (Writers can still block on other writers for now — besides being a challenging parallel programming problem, the question of whether it even makes sense to write in parallel is a difficult one to answer). You want to end up with ``` thread + +--------+ T1 | | R1 | | +--------+ T2 | | R2 | | +--------+ T3 | | W1 | | +-----------------+ T4 | | W2 | + +--------+ --> read/write reqs over time --> ``` If we can acheive that then our readers will be lock-free: even while a single reader is blocked waiting for data from the filesystems all types of other operations, reads and writes, can proceed. Unfortunately, this will still not be enough to guarantee that the system can always service read requests. Think about what would happen if there are `N` blocked write requests on our thread pool of size `N`. You'll have to solve that later. For now, you are focused on removing the locks from readers. Unlike `Mutex` and `RwLock`, there is no single wrapper type that we can apply to the entire arbitrary shared state to achieve the goal of reading and writing concurrently (at least, not while also being performant). That means that we need to consider how each one of the fields of `SharedKvStore` is used, and pick the right synchronization scheme to allow all threads to make as much progress as we can, while still maintaining logical consistency of the data. This is where the difficult reasoning with multithreading really begins. If you remove that big lock, Rust is still going to protect you from [_data races_], but it is not going to help you maintain the logical consistency between the fields necessary to maintain the invariants of your data store. [_data races_]: https://blog.regehr.org/archives/490 So before thinking about the solution, let's think about our requirements. We need to: - Read from the index and from the disk, on multiple threads at a time; - Write commands to disk, while maintaining the index; - Read in parallel with writing, thus - In general, to guarantee that readers will always see a consistent state while reading in parallel with a writer, which means, - Maintaining an invariant that log pointers in the index always point to a valid command in the log, - Maintaining appropriant invariants for other bookkeeping, like the `uncompacted` variable in the following example; - Periodically compact our on-disk data, again while maintaining invariants for readers. The rest of this section is background on a variety of subjects that will be helpful to achieve the above, but that is the entire goal for the remaining project: modify `KvStore` to perform reads concurrently with writes. ### Explaining our example data structure In order to talk about this concretely, we're going to need an example of the data we're trying to protect and the invariants we're trying to maintain. So here's an example of a `KvStore` implementation and its fields. ```rust pub struct KvStore { /// Directory for the log and other data path: PathBuf, /// The log reader reader: BufReaderWithPos, /// The log writer writer: BufWriterWithPos, /// The in-memory index from key to log pointer index: BTreeMap, /// The number of bytes representing "stale" commands that could be /// deleted during a compaction uncompacted: u64, } ``` This is a simplified version of the example for this project. The purpose of the fields should be fairly clear: `path: PathBuf` is just the path to the directory where logs are stored. It never changes — it is immutable, and immutable types are `Sync` in Rust, so it doesn't even need any protection at all. Every thread can read it at once through a shared reference. `readers: HashMap>` is the read handle to the current log file. It needs to change to a new log file after compaction. `writer: BufWriterWithPos` is the write handle to the current log file. So any write needs mutable access to `writer`, and the compaction process needs to change the `writer` and the `current_gen`. `index: BTreeMap` is the in-memory index of every key in the database to its location in the index file. It is read from every reading thread, and written from every writing thread, potentially including during compaction. `uncompacted: u64` simply counts the number of "stale" commands in the logs that have been superceded by subsequent write commands, to know when to trigger compaction. In previous projects we didn't have to worry much about the interaction between writing, reading, and compaction producing inconsistent results, since they all happened on the same thread. Now if you are not careful with your data structure selection and their usage, it will be easy to corrupt the state of your database. ### Strategies for breaking up locks The key to advanced parallel programming is to know the tools available and when to use them. Here are some techniques we found useful while implementing this project, some of which you will need as well. They are discussed in the context of the example data structure presented above. #### Understand and maintain sequential consistency (Note that "sequential consistency" has a precise meaning, but here we're just talking generally about ensuring that things that need to happen in a specific sequence do so). Reasoning about parallel programs is mostly about understanding the "happens-before" relationships in your code. In this thread, what changes to shared data structures do I need to see before others? What changes to shared data structures do I need to expose to other threads before others? How do I ensure that? In single-threaded code reasoning about what happens before any particular line of code is trivial — if the code is written to happen before, then it happens before, if not, it happens after. But this isn't actually true at all, even in single-threaded code: both the CPU and the compiler will reorder code to make it run faster, the CPU operating on machine code, and the compiler operating on its internal representation prior to generating the machine code. In reality the actual code executed happens in a different order than you wrote it to execute, and it only appears to run the way you wrote it because both the CPU and compiler track _data dependencies_ and don't reorder any operations that depend on another. In multi-threaded code the compiler and CPU will _still_ reorder code under the same assumptions as single-threaded code, and your code will break entirely unless you tell the compiler via synchronized types and operations that it must not allow reordering. Any operation that must occur before or after another must be exlicitly arranged to do so with synchronized types or operations, whether they be locks, atomics or otherwise. In our example it's clear that the write to the file and the write to the index must be seen to occur in a specific order — what would happen if the index was updated before the file? Likewise, our example contains another bit of state, `uncompacted`. What's the impact of miscalculating the uncompacted size? It may not be so bad if the value of `uncompacted` can be seen to change before the data is committed to file, but it's a decision that has to be made for each value that is synchronized independently. #### Identify immutable values You've probably read a lot about immutability in Rust, and about how immutable values can be shared trivially between theads (they are `Sync`). Immutable values are the best for concurrency — just throw them behind an `Arc` and don't think about them again. In our example, `PathBuf` is immutable. #### Duplicate values instead of sharing Cloning sometimes has a bad reputation in Rust, particularly cloning types with arbitrary size, like `String`, and `Vec`. But cloning is often perfectly reasonable: it can be quite difficult to avoid clones in some situations, and CPUs are _very good_ at copying buffers of memory. Furthermore, considering our use case, the number of state copies needed to support the server is bounded by the number of threads in the threadpool. In our example, again `PathBuf` is easily clonable. Less obviously though, consider how to share access to files across threads. The [`File`] type requires mutable access for both reads and writes. So to share it across threads would require a lock that grants that mutable access. What is a `File` though? It's not actually a file — it's just a handle to the physical resource on disk, and it's fine to have multiple handles to the same file open at once. Note the API for `File` though — it doesn't implement `Clone`, and while it does have this enticing [`try_clone`] method, its semantics have some complex implications for multi-threaded applications. Does seeking a `File` affect another `File` that created by `try_clone` ? Please consider the differences between `File`s from `File::open` and `try_clone`. Using `try_clone` or `File::open`, it's your choice. [`pread`] may help. [`File`]: https://doc.rust-lang.org/std/fs/struct.File.html [`try_clone`]: https://doc.rust-lang.org/std/fs/struct.File.html#method.try_clone [`pread`]: https://stackoverflow.com/questions/1687275/what-is-the-difference-between-read-and-pread-in-unix #### Break up data structures by role In our use case we have two clear roles: readers, and writers (and maybe a third for compactors). The logical separation of readers and writers into their own concurrent types is a common in Rust. Readers have their own data set to work with, and writers their own, and that provides a good opportunity for encapsulation, with all read operations beloning to one type and all write operations another. Making this distinction will further make it very obvious which resources are accessed by both, since the reader and writer will both carry shared handles to those resources. #### Use specialized concurrent data structures Just knowing what tools are available and in which scenarios to use them may be the most difficult part of parallel programming. Beyond the basic lock types tought to everybody in school, synchronized data types become increasingly specialized. In this project, since the in-memory index is some type of associative data structure (a.k.a. a "map"), like a tree or hash table, it's natural to ask whether there exist concurrent associative data structures. There are, and using them is key to completing this project. But how can you know that? The first step is ask whether concurrent maps exist. You could do this in `#beginners` on the [Rust Discord], but in this case searching "concurrent map" on the web will definitely give the answer. That's the easy part, finding the right concurrent map _in Rust_ is harder. A good first step is to learch [libs.rs]. libs.rs is like crates.io but where crates.io contains all published libraries, libs.rs is curated to contain only libraries that are well-regarded by ... well, somebody. So if it's on libs.rs then that's one indication that the library is usable, another is the download count on [crates.io] — in general, more downloaded crates are more tested than less downloaded crates. The download count can be seen as a rough proxy for the number of people who "vouch" for the crate. And finally, asking in chat is always a good idea. [Rust Discord]: https://doc.rust-lang.org/std/fs/struct.File.html#method.try_clone [libs.rs]: https://libs.rs [crates.io]: https://crates.io #### Postpone cleanup until later Like cloning, garbage collection is often frowned upon in Rust — avoiding GC is almost the entire reason Rust exists. But it's no secret that, actually, garbage collection can't be avoided, "garbage collection" and "memory reclaimation" are practically synonymous, and every language uses a mixture of garbage collection strategies. On one end of the GC spectrum, in languages with no automatic memory management, like C, the garbage collection is left entirely up to the programmer, e.g. via `malloc` and `free`. On the other end are garbage collected languages, like Java, where all memory is collected by a single general-purpose garbage collector. In practice though, neither is all memory management and reclaimation in C done with `malloc`/`free`, nor is all memory management in Java done with the GC. Just as a trivial example, it is common for high-performance applications in both to rely on specialized [arenas], in which allocations can both be reused as well as deallocated in large batches, to optimize their memory access patterns. [arenas]: https://www.quora.com/In-C++-what-is-a-memory-arena Likewise in Rust, not all memory is freed deterministically. Trivial examples are in the [`Rc`] and [`Arc`] types that implement [resource counting], a simple kind of GC. [`Rc`]: https://doc.rust-lang.org/std/rc/struct.Rc.html [`Arc`]: https://doc.rust-lang.org/std/sync/struct.Arc.html [reference counting]: https://en.wikipedia.org/wiki/Reference_counting One of the greatest benefits of global garbage collectors is that they make many lock-free data structures possible. Many of the lock-free data structures described in academic literature rely on the GC for their operation. The need to adapt lock-free algorithms to not rely on a GC is the original motivation for the [`crossbeam`] library and its [`epoch`] type. [`crossbeam`]: https://github.com/crossbeam-rs/crossbeam [`epoch`]: https://docs.rs/crossbeam/0.7.1/crossbeam/epoch/index.html All this is to say that garbage collection comes in many forms, and its basic strategy of delaying the cleanup of resources until some future time is powerful in many scenarios. When you can't figure out how to perform some concurrent work _right now_, it can be useful to ask "can I just do this later?" #### Share flags and counters with atomics Under the hood, most concurrent data structures are implemented using [atomic operations], or "atomics". Atomics operate on a single cell of memory, usually between 8 and 128 bytes, commonly word size (the same number of bytes as a pointer, and as the Rust `usize` type). If two threads use atomics correctly then the result of a write in one thread is visible immediately to a read in the other thread. In addition to making reads or writes immediately visible, atomic operations also constrain how the compiler and CPU may reorder instructions, in Rust via the [`Ordering`] flag. [atomic operations]: https://preshing.com/20130618/atomic-vs-non-atomic-operations/ [`atomic`]: https://doc.rust-lang.org/std/sync/atomic/ [`Ordering`]: https://doc.rust-lang.org/std/sync/atomic/enum.Ordering.html When moving from the course-grained parallelism of locks to more fine-grain parallelism, its often necessary to augment off-the-shelf concurrent data structures with atomics. ### Implement lock-free readers That's a lot of background. Hopefully there is a lot there to think about and guide you in the right direction. Now it's your turn: _Modify `KvStore` to perform reads concurrently with writes._ And afterward… Nice coding, friend. Enjoy a nice break. ================================================ FILE: courses/rust/projects/project-4/src/bin/kvs-client.rs ================================================ use clap::AppSettings; use kvs::{KvsClient, Result}; use std::net::SocketAddr; use std::process::exit; use structopt::StructOpt; #[derive(StructOpt, Debug)] #[structopt( name = "kvs-client", raw(global_settings = "&[\ AppSettings::DisableHelpSubcommand,\ AppSettings::VersionlessSubcommands]") )] struct Opt { #[structopt(subcommand)] command: Command, } #[derive(StructOpt, Debug)] enum Command { #[structopt(name = "get", about = "Get the string value of a given string key")] Get { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt( long, help = "Sets the server address", value_name = "IP:PORT", default_value = "127.0.0.1:4000", parse(try_from_str) )] addr: SocketAddr, }, #[structopt(name = "set", about = "Set the value of a string key to a string")] Set { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt(name = "VALUE", help = "The string value of the key")] value: String, #[structopt( long, help = "Sets the server address", value_name = "IP:PORT", default_value = "127.0.0.1:4000", parse(try_from_str) )] addr: SocketAddr, }, #[structopt(name = "rm", about = "Remove a given string key")] Remove { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt( long, help = "Sets the server address", value_name = "IP:PORT", default_value = "127.0.0.1:4000", parse(try_from_str) )] addr: SocketAddr, }, } fn main() { let opt = Opt::from_args(); if let Err(e) = run(opt) { eprintln!("{}", e); exit(1); } } fn run(opt: Opt) -> Result<()> { match opt.command { Command::Get { key, addr } => { let mut client = KvsClient::connect(addr)?; if let Some(value) = client.get(key)? { println!("{}", value); } else { println!("Key not found"); } } Command::Set { key, value, addr } => { let mut client = KvsClient::connect(addr)?; client.set(key, value)?; } Command::Remove { key, addr } => { let mut client = KvsClient::connect(addr)?; client.remove(key)?; } } Ok(()) } ================================================ FILE: courses/rust/projects/project-4/src/bin/kvs-server.rs ================================================ use clap::arg_enum; use kvs::thread_pool::*; use kvs::*; use log::LevelFilter; use log::{error, info, warn}; use std::env; use std::env::current_dir; use std::fs; use std::net::SocketAddr; use std::process::exit; use structopt::StructOpt; const DEFAULT_LISTENING_ADDRESS: &str = "127.0.0.1:4000"; const DEFAULT_ENGINE: Engine = Engine::kvs; #[derive(StructOpt, Debug)] #[structopt(name = "kvs-server")] struct Opt { #[structopt( long, help = "Sets the listening address", value_name = "IP:PORT", raw(default_value = "DEFAULT_LISTENING_ADDRESS"), parse(try_from_str) )] addr: SocketAddr, #[structopt( long, help = "Sets the storage engine", value_name = "ENGINE-NAME", raw(possible_values = "&Engine::variants()") )] engine: Option, } arg_enum! { #[allow(non_camel_case_types)] #[derive(Debug, Copy, Clone, PartialEq, Eq)] enum Engine { kvs, sled } } fn main() { env_logger::builder() .filter_level(LevelFilter::Info) .init(); let mut opt = Opt::from_args(); let res = current_engine().and_then(move |curr_engine| { if opt.engine.is_none() { opt.engine = curr_engine; } if curr_engine.is_some() && opt.engine != curr_engine { error!("Wrong engine!"); exit(1); } run(opt) }); if let Err(e) = res { error!("{}", e); exit(1); } } fn run(opt: Opt) -> Result<()> { let engine = opt.engine.unwrap_or(DEFAULT_ENGINE); info!("kvs-server {}", env!("CARGO_PKG_VERSION")); info!("Storage engine: {}", engine); info!("Listening on {}", opt.addr); // write engine to engine file fs::write(current_dir()?.join("engine"), format!("{}", engine))?; let pool = RayonThreadPool::new(num_cpus::get() as u32)?; match engine { Engine::kvs => run_with(KvStore::open(env::current_dir()?)?, pool, opt.addr), Engine::sled => run_with( SledKvsEngine::new(sled::open(env::current_dir()?)?), pool, opt.addr, ), } } pub fn run_with(engine: E, pool: P, addr: SocketAddr) -> Result<()> { let server = KvsServer::new(engine, pool); server.run(addr) } fn current_engine() -> Result> { let engine = current_dir()?.join("engine"); if !engine.exists() { return Ok(None); } match fs::read_to_string(engine)?.parse() { Ok(engine) => Ok(Some(engine)), Err(e) => { warn!("The content of engine file is invalid: {}", e); Ok(None) } } } ================================================ FILE: courses/rust/projects/project-4/src/client.rs ================================================ use crate::common::{GetResponse, RemoveResponse, Request, SetResponse}; use crate::{KvsError, Result}; use serde::Deserialize; use serde_json::de::{Deserializer, IoRead}; use std::io::{BufReader, BufWriter, Write}; use std::net::{TcpStream, ToSocketAddrs}; /// Key value store client pub struct KvsClient { reader: Deserializer>>, writer: BufWriter, } impl KvsClient { /// Connect to `addr` to access `KvsServer`. pub fn connect(addr: A) -> Result { let tcp_reader = TcpStream::connect(addr)?; let tcp_writer = tcp_reader.try_clone()?; Ok(KvsClient { reader: Deserializer::from_reader(BufReader::new(tcp_reader)), writer: BufWriter::new(tcp_writer), }) } /// Get the value of a given key from the server. pub fn get(&mut self, key: String) -> Result> { serde_json::to_writer(&mut self.writer, &Request::Get { key })?; self.writer.flush()?; let resp = GetResponse::deserialize(&mut self.reader)?; match resp { GetResponse::Ok(value) => Ok(value), GetResponse::Err(msg) => Err(KvsError::StringError(msg)), } } /// Set the value of a string key in the server. pub fn set(&mut self, key: String, value: String) -> Result<()> { serde_json::to_writer(&mut self.writer, &Request::Set { key, value })?; self.writer.flush()?; let resp = SetResponse::deserialize(&mut self.reader)?; match resp { SetResponse::Ok(_) => Ok(()), SetResponse::Err(msg) => Err(KvsError::StringError(msg)), } } /// Remove a string key in the server. pub fn remove(&mut self, key: String) -> Result<()> { serde_json::to_writer(&mut self.writer, &Request::Remove { key })?; self.writer.flush()?; let resp = RemoveResponse::deserialize(&mut self.reader)?; match resp { RemoveResponse::Ok(_) => Ok(()), RemoveResponse::Err(msg) => Err(KvsError::StringError(msg)), } } } ================================================ FILE: courses/rust/projects/project-4/src/common.rs ================================================ use serde::{Deserialize, Serialize}; #[derive(Debug, Serialize, Deserialize)] pub enum Request { Get { key: String }, Set { key: String, value: String }, Remove { key: String }, } #[derive(Debug, Serialize, Deserialize)] pub enum GetResponse { Ok(Option), Err(String), } #[derive(Debug, Serialize, Deserialize)] pub enum SetResponse { Ok(()), Err(String), } #[derive(Debug, Serialize, Deserialize)] pub enum RemoveResponse { Ok(()), Err(String), } ================================================ FILE: courses/rust/projects/project-4/src/engines/kvs.rs ================================================ use std::cell::RefCell; use std::collections::BTreeMap; use std::ffi::OsStr; use std::fs::{self, File, OpenOptions}; use std::io::{self, BufReader, BufWriter, Read, Seek, SeekFrom, Write}; use std::ops::Range; use std::path::{Path, PathBuf}; use std::sync::atomic::{AtomicU64, Ordering}; use std::sync::{Arc, Mutex}; use crossbeam_skiplist::SkipMap; use log::error; use serde::{Deserialize, Serialize}; use serde_json::Deserializer; use super::KvsEngine; use crate::{KvsError, Result}; const COMPACTION_THRESHOLD: u64 = 1024 * 1024; /// The `KvStore` stores string key/value pairs. /// /// Key/value pairs are persisted to disk in log files. Log files are named after /// monotonically increasing generation numbers with a `log` extension name. /// A skip list in memory stores the keys and the value locations for fast query. /// /// ```rust /// # use kvs::{KvStore, Result}; /// # fn try_main() -> Result<()> { /// use std::env::current_dir; /// use kvs::KvsEngine; /// let mut store = KvStore::open(current_dir()?)?; /// store.set("key".to_owned(), "value".to_owned())?; /// let val = store.get("key".to_owned())?; /// assert_eq!(val, Some("value".to_owned())); /// # Ok(()) /// # } /// ``` #[derive(Clone)] pub struct KvStore { // directory for the log and other data path: Arc, // map generation number to the file reader index: Arc>, reader: KvStoreReader, writer: Arc>, } impl KvStore { /// Opens a `KvStore` with the given path. /// /// This will create a new directory if the given one does not exist. /// /// # Errors /// /// It propagates I/O or deserialization errors during the log replay. pub fn open(path: impl Into) -> Result { let path = Arc::new(path.into()); fs::create_dir_all(&*path)?; let mut readers = BTreeMap::new(); let index = Arc::new(SkipMap::new()); let gen_list = sorted_gen_list(&path)?; let mut uncompacted = 0; for &gen in &gen_list { let mut reader = BufReaderWithPos::new(File::open(log_path(&path, gen))?)?; uncompacted += load(gen, &mut reader, &*index)?; readers.insert(gen, reader); } let current_gen = gen_list.last().unwrap_or(&0) + 1; let writer = new_log_file(&path, current_gen)?; let safe_point = Arc::new(AtomicU64::new(0)); let reader = KvStoreReader { path: Arc::clone(&path), safe_point, readers: RefCell::new(readers), }; let writer = KvStoreWriter { reader: reader.clone(), writer, current_gen, uncompacted, path: Arc::clone(&path), index: Arc::clone(&index), }; Ok(KvStore { path, reader, index, writer: Arc::new(Mutex::new(writer)), }) } } impl KvsEngine for KvStore { /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. /// /// # Errors /// /// It propagates I/O or serialization errors during writing the log. fn set(&self, key: String, value: String) -> Result<()> { self.writer.lock().unwrap().set(key, value) } /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. fn get(&self, key: String) -> Result> { if let Some(cmd_pos) = self.index.get(&key) { if let Command::Set { value, .. } = self.reader.read_command(*cmd_pos.value())? { Ok(Some(value)) } else { Err(KvsError::UnexpectedCommandType) } } else { Ok(None) } } /// Removes a given key. /// /// # Error /// /// It returns `KvsError::KeyNotFound` if the given key is not found. /// /// It propagates I/O or serialization errors during writing the log. fn remove(&self, key: String) -> Result<()> { self.writer.lock().unwrap().remove(key) } } /// A single thread reader. /// /// Each `KvStore` instance has its own `KvStoreReader` and /// `KvStoreReader`s open the same files separately. So the user /// can read concurrently through multiple `KvStore`s in different /// threads. struct KvStoreReader { path: Arc, // generation of the latest compaction file safe_point: Arc, readers: RefCell>>, } impl KvStoreReader { /// Close file handles with generation number less than safe_point. /// /// `safe_point` is updated to the latest compaction gen after a compaction finishes. /// The compaction generation contains the sum of all operations before it and the /// in-memory index contains no entries with generation number less than safe_point. /// So we can safely close those file handles and the stale files can be deleted. fn close_stale_handles(&self) { let mut readers = self.readers.borrow_mut(); while !readers.is_empty() { let first_gen = *readers.keys().next().unwrap(); if self.safe_point.load(Ordering::SeqCst) <= first_gen { break; } readers.remove(&first_gen); } } /// Read the log file at the given `CommandPos`. fn read_and(&self, cmd_pos: CommandPos, f: F) -> Result where F: FnOnce(io::Take<&mut BufReaderWithPos>) -> Result, { self.close_stale_handles(); let mut readers = self.readers.borrow_mut(); // Open the file if we haven't opened it in this `KvStoreReader`. // We don't use entry API here because we want the errors to be propogated. if !readers.contains_key(&cmd_pos.gen) { let reader = BufReaderWithPos::new(File::open(log_path(&self.path, cmd_pos.gen))?)?; readers.insert(cmd_pos.gen, reader); } let reader = readers.get_mut(&cmd_pos.gen).unwrap(); reader.seek(SeekFrom::Start(cmd_pos.pos))?; let cmd_reader = reader.take(cmd_pos.len); f(cmd_reader) } // Read the log file at the given `CommandPos` and deserialize it to `Command`. fn read_command(&self, cmd_pos: CommandPos) -> Result { self.read_and(cmd_pos, |cmd_reader| { Ok(serde_json::from_reader(cmd_reader)?) }) } } impl Clone for KvStoreReader { fn clone(&self) -> KvStoreReader { KvStoreReader { path: Arc::clone(&self.path), safe_point: Arc::clone(&self.safe_point), // don't use other KvStoreReader's readers readers: RefCell::new(BTreeMap::new()), } } } struct KvStoreWriter { reader: KvStoreReader, writer: BufWriterWithPos, current_gen: u64, // the number of bytes representing "stale" commands that could be // deleted during a compaction uncompacted: u64, path: Arc, index: Arc>, } impl KvStoreWriter { fn set(&mut self, key: String, value: String) -> Result<()> { let cmd = Command::set(key, value); let pos = self.writer.pos; serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Set { key, .. } = cmd { if let Some(old_cmd) = self.index.get(&key) { self.uncompacted += old_cmd.value().len; } self.index .insert(key, (self.current_gen, pos..self.writer.pos).into()); } if self.uncompacted > COMPACTION_THRESHOLD { self.compact()?; } Ok(()) } fn remove(&mut self, key: String) -> Result<()> { if self.index.contains_key(&key) { let cmd = Command::remove(key); let pos = self.writer.pos; serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Remove { key } = cmd { let old_cmd = self.index.remove(&key).expect("key not found"); self.uncompacted += old_cmd.value().len; // the "remove" command itself can be deleted in the next compaction // so we add its length to `uncompacted` self.uncompacted += self.writer.pos - pos; } if self.uncompacted > COMPACTION_THRESHOLD { self.compact()?; } Ok(()) } else { Err(KvsError::KeyNotFound) } } /// Clears stale entries in the log. fn compact(&mut self) -> Result<()> { // increase current gen by 2. current_gen + 1 is for the compaction file let compaction_gen = self.current_gen + 1; self.current_gen += 2; self.writer = new_log_file(&self.path, self.current_gen)?; let mut compaction_writer = new_log_file(&self.path, compaction_gen)?; let mut new_pos = 0; // pos in the new log file for entry in self.index.iter() { let len = self.reader.read_and(*entry.value(), |mut entry_reader| { Ok(io::copy(&mut entry_reader, &mut compaction_writer)?) })?; self.index.insert( entry.key().clone(), (compaction_gen, new_pos..new_pos + len).into(), ); new_pos += len; } compaction_writer.flush()?; self.reader .safe_point .store(compaction_gen, Ordering::SeqCst); self.reader.close_stale_handles(); // remove stale log files // Note that actually these files are not deleted immediately because `KvStoreReader`s // still keep open file handles. When `KvStoreReader` is used next time, it will clear // its stale file handles. On Unix, the files will be deleted after all the handles // are closed. On Windows, the deletions below will fail and stale files are expected // to be deleted in the next compaction. let stale_gens = sorted_gen_list(&self.path)? .into_iter() .filter(|&gen| gen < compaction_gen); for stale_gen in stale_gens { let file_path = log_path(&self.path, stale_gen); if let Err(e) = fs::remove_file(&file_path) { error!("{:?} cannot be deleted: {}", file_path, e); } } self.uncompacted = 0; Ok(()) } } /// Create a new log file with given generation number and add the reader to the readers map. /// /// Returns the writer to the log. fn new_log_file(path: &Path, gen: u64) -> Result> { let path = log_path(&path, gen); let writer = BufWriterWithPos::new( OpenOptions::new() .create(true) .write(true) .append(true) .open(&path)?, )?; Ok(writer) } /// Returns sorted generation numbers in the given directory fn sorted_gen_list(path: &Path) -> Result> { let mut gen_list: Vec = fs::read_dir(&path)? .flat_map(|res| -> Result<_> { Ok(res?.path()) }) .filter(|path| path.is_file() && path.extension() == Some("log".as_ref())) .flat_map(|path| { path.file_name() .and_then(OsStr::to_str) .map(|s| s.trim_end_matches(".log")) .map(str::parse::) }) .flatten() .collect(); gen_list.sort_unstable(); Ok(gen_list) } /// Load the whole log file and store value locations in the index map. /// /// Returns how many bytes can be saved after a compaction. fn load( gen: u64, reader: &mut BufReaderWithPos, index: &SkipMap, ) -> Result { // To make sure we read from the beginning of the file let mut pos = reader.seek(SeekFrom::Start(0))?; let mut stream = Deserializer::from_reader(reader).into_iter::(); let mut uncompacted = 0; // number of bytes that can be saved after a compaction while let Some(cmd) = stream.next() { let new_pos = stream.byte_offset() as u64; match cmd? { Command::Set { key, .. } => { if let Some(old_cmd) = index.get(&key) { uncompacted += old_cmd.value().len; } index.insert(key, (gen, pos..new_pos).into()); } Command::Remove { key } => { if let Some(old_cmd) = index.remove(&key) { uncompacted += old_cmd.value().len; } // the "remove" command itself can be deleted in the next compaction // so we add its length to `uncompacted` uncompacted += new_pos - pos; } } pos = new_pos; } Ok(uncompacted) } fn log_path(dir: &Path, gen: u64) -> PathBuf { dir.join(format!("{}.log", gen)) } /// Struct representing a command #[derive(Serialize, Deserialize, Debug)] enum Command { Set { key: String, value: String }, Remove { key: String }, } impl Command { fn set(key: String, value: String) -> Command { Command::Set { key, value } } fn remove(key: String) -> Command { Command::Remove { key } } } /// Represents the position and length of a json-serialized command in the log #[derive(Debug, Clone, Copy)] struct CommandPos { gen: u64, pos: u64, len: u64, } impl From<(u64, Range)> for CommandPos { fn from((gen, range): (u64, Range)) -> Self { CommandPos { gen, pos: range.start, len: range.end - range.start, } } } struct BufReaderWithPos { reader: BufReader, pos: u64, } impl BufReaderWithPos { fn new(mut inner: R) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufReaderWithPos { reader: BufReader::new(inner), pos, }) } } impl Read for BufReaderWithPos { fn read(&mut self, buf: &mut [u8]) -> io::Result { let len = self.reader.read(buf)?; self.pos += len as u64; Ok(len) } } impl Seek for BufReaderWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.reader.seek(pos)?; Ok(self.pos) } } struct BufWriterWithPos { writer: BufWriter, pos: u64, } impl BufWriterWithPos { fn new(mut inner: W) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufWriterWithPos { writer: BufWriter::new(inner), pos, }) } } impl Write for BufWriterWithPos { fn write(&mut self, buf: &[u8]) -> io::Result { let len = self.writer.write(buf)?; self.pos += len as u64; Ok(len) } fn flush(&mut self) -> io::Result<()> { self.writer.flush() } } impl Seek for BufWriterWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.writer.seek(pos)?; Ok(self.pos) } } ================================================ FILE: courses/rust/projects/project-4/src/engines/mod.rs ================================================ pub use self::kvs::KvStore; pub use self::sled::SledKvsEngine; use crate::Result; mod kvs; mod sled; /// Trait for a key value storage engine. pub trait KvsEngine: Clone + Send + 'static { /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. fn set(&self, key: String, value: String) -> Result<()>; /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. fn get(&self, key: String) -> Result>; /// Removes a given key. /// /// # Errors /// /// It returns `KvsError::KeyNotFound` if the given key is not found. fn remove(&self, key: String) -> Result<()>; } ================================================ FILE: courses/rust/projects/project-4/src/engines/sled.rs ================================================ use super::KvsEngine; use crate::{KvsError, Result}; use sled::{Db, Tree}; /// Wrapper of `sled::Db` #[derive(Clone)] pub struct SledKvsEngine(Db); impl SledKvsEngine { /// Creates a `SledKvsEngine` from `sled::Db`. pub fn new(db: Db) -> Self { SledKvsEngine(db) } } impl KvsEngine for SledKvsEngine { fn set(&self, key: String, value: String) -> Result<()> { let tree: &Tree = &self.0; tree.insert(key, value.into_bytes()).map(|_| ())?; tree.flush()?; Ok(()) } fn get(&self, key: String) -> Result> { let tree: &Tree = &self.0; Ok(tree .get(key)? .map(|i_vec| AsRef::<[u8]>::as_ref(&i_vec).to_vec()) .map(String::from_utf8) .transpose()?) } fn remove(&self, key: String) -> Result<()> { let tree: &Tree = &self.0; tree.remove(key)?.ok_or(KvsError::KeyNotFound)?; tree.flush()?; Ok(()) } } ================================================ FILE: courses/rust/projects/project-4/src/error.rs ================================================ use failure::Fail; use std::io; use std::string::FromUtf8Error; /// Error type for kvs #[derive(Fail, Debug)] pub enum KvsError { /// IO error #[fail(display = "IO error: {}", _0)] Io(#[cause] io::Error), /// Serialization or deserialization error #[fail(display = "serde_json error: {}", _0)] Serde(#[cause] serde_json::Error), /// Removing non-existent key error #[fail(display = "Key not found")] KeyNotFound, /// Unexpected command type error. /// It indicated a corrupted log or a program bug. #[fail(display = "Unexpected command type")] UnexpectedCommandType, /// Key or value is invalid UTF-8 sequence #[fail(display = "UTF-8 error: {}", _0)] Utf8(#[cause] FromUtf8Error), /// Sled error #[fail(display = "sled error: {}", _0)] Sled(#[cause] sled::Error), /// Error with a string message #[fail(display = "{}", _0)] StringError(String), } impl From for KvsError { fn from(err: io::Error) -> KvsError { KvsError::Io(err) } } impl From for KvsError { fn from(err: serde_json::Error) -> KvsError { KvsError::Serde(err) } } impl From for KvsError { fn from(err: FromUtf8Error) -> KvsError { KvsError::Utf8(err) } } impl From for KvsError { fn from(err: sled::Error) -> KvsError { KvsError::Sled(err) } } /// Result type for kvs pub type Result = std::result::Result; ================================================ FILE: courses/rust/projects/project-4/src/lib.rs ================================================ #![deny(missing_docs)] //! A simple key/value store. pub use client::KvsClient; pub use engines::{KvStore, KvsEngine, SledKvsEngine}; pub use error::{KvsError, Result}; pub use server::KvsServer; mod client; mod common; mod engines; mod error; mod server; pub mod thread_pool; ================================================ FILE: courses/rust/projects/project-4/src/server.rs ================================================ use crate::common::{GetResponse, RemoveResponse, Request, SetResponse}; use crate::thread_pool::ThreadPool; use crate::{KvsEngine, Result}; use log::{debug, error}; use serde_json::Deserializer; use std::io::{BufReader, BufWriter, Write}; use std::net::{TcpListener, TcpStream, ToSocketAddrs}; /// The server of a key value store. pub struct KvsServer { engine: E, pool: P, } impl KvsServer { /// Create a `KvsServer` with a given storage engine. pub fn new(engine: E, pool: P) -> Self { KvsServer { engine, pool } } /// Run the server listening on the given address pub fn run(self, addr: A) -> Result<()> { let listener = TcpListener::bind(addr)?; for stream in listener.incoming() { let engine = self.engine.clone(); self.pool.spawn(move || match stream { Ok(stream) => { if let Err(e) = serve(engine, stream) { error!("Error on serving client: {}", e); } } Err(e) => error!("Connection failed: {}", e), }) } Ok(()) } } fn serve(engine: E, tcp: TcpStream) -> Result<()> { let peer_addr = tcp.peer_addr()?; let reader = BufReader::new(&tcp); let mut writer = BufWriter::new(&tcp); let req_reader = Deserializer::from_reader(reader).into_iter::(); macro_rules! send_resp { ($resp:expr) => {{ let resp = $resp; serde_json::to_writer(&mut writer, &resp)?; writer.flush()?; debug!("Response sent to {}: {:?}", peer_addr, resp); };}; } for req in req_reader { let req = req?; debug!("Receive request from {}: {:?}", peer_addr, req); match req { Request::Get { key } => send_resp!(match engine.get(key) { Ok(value) => GetResponse::Ok(value), Err(e) => GetResponse::Err(format!("{}", e)), }), Request::Set { key, value } => send_resp!(match engine.set(key, value) { Ok(_) => SetResponse::Ok(()), Err(e) => SetResponse::Err(format!("{}", e)), }), Request::Remove { key } => send_resp!(match engine.remove(key) { Ok(_) => RemoveResponse::Ok(()), Err(e) => RemoveResponse::Err(format!("{}", e)), }), }; } Ok(()) } ================================================ FILE: courses/rust/projects/project-4/src/thread_pool/mod.rs ================================================ //! This module provides various thread pools. All thread pools should implement //! the `ThreadPool` trait. use crate::Result; mod naive; mod rayon; mod shared_queue; pub use self::naive::NaiveThreadPool; pub use self::rayon::RayonThreadPool; pub use self::shared_queue::SharedQueueThreadPool; /// The trait that all thread pools should implement. pub trait ThreadPool { /// Creates a new thread pool, immediately spawning the specified number of /// threads. /// /// Returns an error if any thread fails to spawn. All previously-spawned threads /// are terminated. fn new(threads: u32) -> Result where Self: Sized; /// Spawns a function into the thread pool. /// /// Spawning always succeeds, but if the function panics the threadpool continues /// to operate with the same number of threads — the thread count is not /// reduced nor is the thread pool destroyed, corrupted or invalidated. fn spawn(&self, job: F) where F: FnOnce() + Send + 'static; } ================================================ FILE: courses/rust/projects/project-4/src/thread_pool/naive.rs ================================================ use std::thread; use super::ThreadPool; use crate::Result; /// It is actually not a thread pool. It spawns a new thread every time /// the `spawn` method is called. pub struct NaiveThreadPool; impl ThreadPool for NaiveThreadPool { fn new(_threads: u32) -> Result { Ok(NaiveThreadPool) } fn spawn(&self, job: F) where F: FnOnce() + Send + 'static, { thread::spawn(job); } } ================================================ FILE: courses/rust/projects/project-4/src/thread_pool/rayon.rs ================================================ use super::ThreadPool; use crate::{KvsError, Result}; /// Wrapper of rayon::ThreadPool pub struct RayonThreadPool(rayon::ThreadPool); impl ThreadPool for RayonThreadPool { fn new(threads: u32) -> Result { let pool = rayon::ThreadPoolBuilder::new() .num_threads(threads as usize) .build() .map_err(|e| KvsError::StringError(format!("{}", e)))?; Ok(RayonThreadPool(pool)) } fn spawn(&self, job: F) where F: FnOnce() + Send + 'static, { self.0.spawn(job) } } ================================================ FILE: courses/rust/projects/project-4/src/thread_pool/shared_queue.rs ================================================ use std::thread; use super::ThreadPool; use crate::Result; use crossbeam::channel::{self, Receiver, Sender}; use log::{debug, error}; // Note for Rust training course: the thread pool is not implemented using // `catch_unwind` because it would require the task to be `UnwindSafe`. /// A thread pool using a shared queue inside. /// /// If a spawned task panics, the old thread will be destroyed and a new one will be /// created. It fails silently when any failure to create the thread at the OS level /// is captured after the thread pool is created. So, the thread number in the pool /// can decrease to zero, then spawning a task to the thread pool will panic. pub struct SharedQueueThreadPool { tx: Sender>, } impl ThreadPool for SharedQueueThreadPool { fn new(threads: u32) -> Result { let (tx, rx) = channel::unbounded::>(); for _ in 0..threads { let rx = TaskReceiver(rx.clone()); thread::Builder::new().spawn(move || run_tasks(rx))?; } Ok(SharedQueueThreadPool { tx }) } /// Spawns a function into the thread pool. /// /// # Panics /// /// Panics if the thread pool has no thread. fn spawn(&self, job: F) where F: FnOnce() + Send + 'static, { self.tx .send(Box::new(job)) .expect("The thread pool has no thread."); } } #[derive(Clone)] struct TaskReceiver(Receiver>); impl Drop for TaskReceiver { fn drop(&mut self) { if thread::panicking() { let rx = self.clone(); if let Err(e) = thread::Builder::new().spawn(move || run_tasks(rx)) { error!("Failed to spawn a thread: {}", e); } } } } fn run_tasks(rx: TaskReceiver) { loop { match rx.0.recv() { Ok(task) => { task(); } Err(_) => debug!("Thread exits because the thread pool is destroyed."), } } } ================================================ FILE: courses/rust/projects/project-4/tests/cli.rs ================================================ use assert_cmd::prelude::*; use predicates::str::{contains, is_empty}; use std::fs::{self, File}; use std::process::Command; use std::sync::mpsc; use std::thread; use std::time::Duration; use tempfile::TempDir; // `kvs-client` with no args should exit with a non-zero code. #[test] fn client_cli_no_args() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-client").unwrap(); cmd.current_dir(&temp_dir).assert().failure(); } #[test] fn client_cli_invalid_get() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "extra", "field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_set() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "missing_field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key", "value", "extra_field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key", "value", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_rm() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "extra", "field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_subcommand() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["unknown"]) .current_dir(&temp_dir) .assert() .failure(); } // `kvs-client -V` should print the version #[test] fn client_cli_version() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-client").unwrap(); cmd.args(&["-V"]) .current_dir(&temp_dir) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } // `kvs-server -V` should print the version #[test] fn server_cli_version() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["-V"]) .current_dir(&temp_dir) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } #[test] fn cli_log_configuration() { let temp_dir = TempDir::new().unwrap(); let stderr_path = temp_dir.path().join("stderr"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "kvs", "--addr", "127.0.0.1:4001"]) .current_dir(&temp_dir) .stderr(File::create(&stderr_path).unwrap()) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let content = fs::read_to_string(&stderr_path).expect("unable to read from stderr file"); assert!(content.contains(env!("CARGO_PKG_VERSION"))); assert!(content.contains("kvs")); assert!(content.contains("127.0.0.1:4001")); } #[test] fn cli_wrong_engine() { // sled first, kvs second { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "sled", "--addr", "127.0.0.1:4002"]) .current_dir(&temp_dir) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["--engine", "kvs", "--addr", "127.0.0.1:4003"]) .current_dir(&temp_dir) .assert() .failure(); } // kvs first, sled second { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "kvs", "--addr", "127.0.0.1:4002"]) .current_dir(&temp_dir) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["--engine", "sled", "--addr", "127.0.0.1:4003"]) .current_dir(&temp_dir) .assert() .failure(); } } fn cli_access_server(engine: &str, addr: &str) { let (sender, receiver) = mpsc::sync_channel(0); let temp_dir = TempDir::new().unwrap(); let mut server = Command::cargo_bin("kvs-server").unwrap(); let mut child = server .args(&["--engine", engine, "--addr", addr]) .current_dir(&temp_dir) .spawn() .unwrap(); let handle = thread::spawn(move || { let _ = receiver.recv(); // wait for main thread to finish child.kill().expect("server exited before killed"); }); thread::sleep(Duration::from_secs(1)); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key1", "value1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout("value1\n"); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key1", "value2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout("value2\n"); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("Key not found")); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .failure() .stderr(contains("Key not found")); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key2", "value3", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); sender.send(()).unwrap(); handle.join().unwrap(); // Reopen and check value let (sender, receiver) = mpsc::sync_channel(0); let mut server = Command::cargo_bin("kvs-server").unwrap(); let mut child = server .args(&["--engine", engine, "--addr", addr]) .current_dir(&temp_dir) .spawn() .unwrap(); let handle = thread::spawn(move || { let _ = receiver.recv(); // wait for main thread to finish child.kill().expect("server exited before killed"); }); thread::sleep(Duration::from_secs(1)); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("value3")); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("Key not found")); sender.send(()).unwrap(); handle.join().unwrap(); } #[test] fn cli_access_server_kvs_engine() { cli_access_server("kvs", "127.0.0.1:4004"); } #[test] fn cli_access_server_sled_engine() { cli_access_server("sled", "127.0.0.1:4005"); } ================================================ FILE: courses/rust/projects/project-4/tests/kv_store.rs ================================================ use kvs::{KvStore, KvsEngine, Result}; use std::sync::{Arc, Barrier}; use std::thread; use tempfile::TempDir; use walkdir::WalkDir; // Should get previously stored value #[test] fn get_stored_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; store.set("key2".to_owned(), "value2".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); assert_eq!(store.get("key2".to_owned())?, Some("value2".to_owned())); // Open from disk again and check persistent data drop(store); let store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); assert_eq!(store.get("key2".to_owned())?, Some("value2".to_owned())); Ok(()) } // Should overwrite existent value #[test] fn overwrite_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value1".to_owned())); store.set("key1".to_owned(), "value2".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value2".to_owned())); // Open from disk again and check persistent data drop(store); let store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key1".to_owned())?, Some("value2".to_owned())); store.set("key1".to_owned(), "value3".to_owned())?; assert_eq!(store.get("key1".to_owned())?, Some("value3".to_owned())); Ok(()) } // Should get `None` when getting a non-existent key #[test] fn get_non_existent_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert_eq!(store.get("key2".to_owned())?, None); // Open from disk again and check persistent data drop(store); let store = KvStore::open(temp_dir.path())?; assert_eq!(store.get("key2".to_owned())?, None); Ok(()) } #[test] fn remove_non_existent_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; assert!(store.remove("key1".to_owned()).is_err()); Ok(()) } #[test] fn remove_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; store.set("key1".to_owned(), "value1".to_owned())?; assert!(store.remove("key1".to_owned()).is_ok()); assert_eq!(store.get("key1".to_owned())?, None); Ok(()) } // Insert data until total size of the directory decreases. // Test data correctness after compaction. #[test] fn compaction() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; let dir_size = || { let entries = WalkDir::new(temp_dir.path()).into_iter(); let len: walkdir::Result = entries .map(|res| { res.and_then(|entry| entry.metadata()) .map(|metadata| metadata.len()) }) .sum(); len.expect("fail to get directory size") }; let mut current_size = dir_size(); for iter in 0..1000 { for key_id in 0..1000 { let key = format!("key{}", key_id); let value = format!("{}", iter); store.set(key, value)?; } let new_size = dir_size(); if new_size > current_size { current_size = new_size; continue; } // Compaction triggered drop(store); // reopen and check content let store = KvStore::open(temp_dir.path())?; for key_id in 0..1000 { let key = format!("key{}", key_id); assert_eq!(store.get(key)?, Some(format!("{}", iter))); } return Ok(()); } panic!("No compaction detected"); } #[test] fn concurrent_set() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; let barrier = Arc::new(Barrier::new(1001)); for i in 0..1000 { let store = store.clone(); let barrier = barrier.clone(); thread::spawn(move || { store .set(format!("key{}", i), format!("value{}", i)) .unwrap(); barrier.wait(); }); } barrier.wait(); for i in 0..1000 { assert_eq!(store.get(format!("key{}", i))?, Some(format!("value{}", i))); } // Open from disk again and check persistent data drop(store); let store = KvStore::open(temp_dir.path())?; for i in 0..1000 { assert_eq!(store.get(format!("key{}", i))?, Some(format!("value{}", i))); } Ok(()) } #[test] fn concurrent_get() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::open(temp_dir.path())?; for i in 0..100 { store .set(format!("key{}", i), format!("value{}", i)) .unwrap(); } let mut handles = Vec::new(); for thread_id in 0..100 { let store = store.clone(); let handle = thread::spawn(move || { for i in 0..100 { let key_id = (i + thread_id) % 100; assert_eq!( store.get(format!("key{}", key_id)).unwrap(), Some(format!("value{}", key_id)) ); } }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } // Open from disk again and check persistent data drop(store); let store = KvStore::open(temp_dir.path())?; let mut handles = Vec::new(); for thread_id in 0..100 { let store = store.clone(); let handle = thread::spawn(move || { for i in 0..100 { let key_id = (i + thread_id) % 100; assert_eq!( store.get(format!("key{}", key_id)).unwrap(), Some(format!("value{}", key_id)) ); } }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } Ok(()) } ================================================ FILE: courses/rust/projects/project-4/tests/thread_pool.rs ================================================ use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::Arc; use kvs::thread_pool::*; use kvs::Result; use crossbeam_utils::sync::WaitGroup; fn spawn_counter(pool: P) -> Result<()> { const TASK_NUM: usize = 20; const ADD_COUNT: usize = 1000; let wg = WaitGroup::new(); let counter = Arc::new(AtomicUsize::new(0)); for _ in 0..TASK_NUM { let counter = Arc::clone(&counter); let wg = wg.clone(); pool.spawn(move || { for _ in 0..ADD_COUNT { counter.fetch_add(1, Ordering::SeqCst); } drop(wg); }) } wg.wait(); assert_eq!(counter.load(Ordering::SeqCst), TASK_NUM * ADD_COUNT); Ok(()) } fn spawn_panic_task() -> Result<()> { const TASK_NUM: usize = 1000; let pool = P::new(4)?; for _ in 0..TASK_NUM { pool.spawn(move || { // It suppresses flood of panic messages to the console. // You may find it useful to comment this out during development. panic_control::disable_hook_in_current_thread(); panic!(); }) } spawn_counter(pool) } #[test] fn naive_thread_pool_spawn_counter() -> Result<()> { let pool = NaiveThreadPool::new(4)?; spawn_counter(pool) } #[test] fn shared_queue_thread_pool_spawn_counter() -> Result<()> { let pool = SharedQueueThreadPool::new(4)?; spawn_counter(pool) } #[test] fn rayon_thread_pool_spawn_counter() -> Result<()> { let pool = RayonThreadPool::new(4)?; spawn_counter(pool) } #[test] fn shared_queue_thread_pool_panic_task() -> Result<()> { spawn_panic_task::() } ================================================ FILE: courses/rust/projects/project-5/Cargo.toml ================================================ [package] name = "kvs" version = "0.1.0" authors = ["Yilin Chen "] description = "A key-value store" edition = "2018" [dependencies] clap = "2.33.0" structopt = "0.2.15" failure = "0.1.5" serde = { version = "1.0.89", features = ["derive"] } serde_json = "1.0.39" log = "0.4.6" env_logger = "0.6.1" sled = "0.22.1" crossbeam = "0.7.1" rayon = "1.0.3" num_cpus = "1.10.0" crossbeam-skiplist = { version = "0.0.0", git = "https://github.com/crossbeam-rs/crossbeam.git", rev = "8cc906b" } tokio = "0.1.21" tokio-serde-json = "0.2.0" [dev-dependencies] assert_cmd = "0.11" criterion = "0.2.11" crossbeam-utils = "0.6.5" predicates = "1.0.0" rand = "0.6.5" tempfile = "3.0.7" walkdir = "2.2.7" panic-control = "0.1.4" ================================================ FILE: courses/rust/projects/project-5/README.md ================================================ # Project: Asynchrony **Task**: Create a multi-threaded, persistent key/value store server and client with _asynchronous_ networking over a custom protocol. **Goals**: - Understand the patterns used when writing Rust futures - Understand error handling with futures - Learn to debug the type system - Perform asynchronous networking with the tokio runtime - Use boxed futures to handle difficult type-system problems - Use `impl Trait` to create anonymous `Future` types **Topics**: asynchrony, futures, tokio, `impl Trait`. **Extensions**: tokio-fs. - [Introduction](#user-content-introduction) - [Project spec](#user-content-project-spec) - [Project setup](#user-content-project-setup) - [Background: Thinking in futures, in Rust](#user-content-background-thinking-in-futures,-in-rust) - [Part 1: Introducing tokio to the client](#user-content-part-1-introducing-tokio-to-the-client) - [Part 2: Converting `KvsClient` to boxed futures](#user-content-part-2-converting-kvsclient-to-boxed-futures) - [Part 3: `KvsClient` with explicit future types](#user-content-part-3-kvsclient-with-explicit-future-types) - [Part 4: `KvsClient` with anonymous future types](#user-content-part-4-kvsclient-with-anonymous-future-types) - [Part 5: Making `ThreadPool` sharable](#user-content-part-5-making-threadpool-sharable) - [Part 6: Converting `KvsEngine` to futures](#user-content-part-6-converting-kvsengine-to-futures) - [Part 7: Driving `KvsEngine` with tokio](#user-content-part-7-driving-kvsengine-with-tokio) - [Extension 1: Converting to tokio-fs](#user-content-extension-1-converting-to-tokio-fs) ## Introduction _Note: this project is only outlined, not written. If you are at this point in the course email brian@pingcap.com and let me know and I will finish writing it ASAP._ In this project you will create a simple key/value server and client that communicate over a custom protocol. The server will use asynchronous networking, built on the tokio runtime. The key/value engine that reads and writes to files will remain synchronous, scheduling work on an underlying thread pool, while presenting an asynchronous interface. Along the way you will experiment with multiple ways of defining and working with future types. Because learning to program with Rust futures is especially challenging, and existing documentation on the subject is limited, the scope of this project is relatively modest, and it contains more direct explanation than past projects. Be sure to read the background readings on this project. And if you get frustrated, then forgive yourself, take a break, and try again with a fresh mind. Writing asynchronous Rust is difficult for everybody. ## Project spec The cargo project, `kvs`, builds a command-line key-value store client called `kvs-client`, and a key-value store server called `kvs-server`, both of which in turn call into a library called `kvs`. The client speaks to the server over a custom protocol. The interface to the CLI is the same as in the [previous project]. The engine implementation is largely the same, distributing synchronous file I/O over a thread pool. The difference this time is that all the networking is performed asynchronously. As part of the conversion to asynchrony, the `KvsClient` will present a futures-based API, and the `KvsEngine` trait will also present a futures-based API, even while it is implemented with blocking (synchronous) I/O via a thread pool. Your `KvsServer` will be based on the tokio runtime, which handles the distribution of asynchronous work to multiple threads on its own (tokio itself contains a thread pool). This means that your architecture will actually have two layers of thread pools: the first handling with the networking, asynchronously, one thread per core; the second handling the file I/O, synchronously, with enough threads to keep the networking threads as busy as possible. As a result if this architectural change, where your jobs will be spawned into your thread pool from multiple threads, your `ThreadPool` trait and its implementations will become shared types implementing `Clone + Send + 'sync`, as your `KvsEngine` is. Because you will be experimenting with multiple definitions of the futures returned by these types, they aren't fully specified here, and instead will be specified as they are called for. More specifically, you will work with function signatures like all the following: - `Client::get(&mut self, key: String) -> Box, Error = Error>` - `Client::get(&mut self, key: String) -> future::SomeExplicitCombinator<...>` - `Client::get(&mut self, key: String) -> impl Future, Error = Error>` - `Client::get(&mut self, key: String) -> ClientGetFuture` ## Project setup Continuing from your previous project, delete your privous `tests` directory and copy this project's `tests` directory into its place. This project should contain a library named `kvs`, and two executables, `kvs-server` and `kvs-client`. You need the following dev-dependencies in your `Cargo.toml`: ```toml [dev-dependencies] assert_cmd = "0.11" criterion = "0.2.11" crossbeam-utils = "0.6.5" predicates = "1.0.0" rand = "0.6.5" tempfile = "3.0.7" walkdir = "2.2.7" panic-control = "0.1.4" ``` Unlike with previous projects, don't bother to fill in enough type definitions to make the test suite compile. Doing so would require jumping a number of steps ahead at once. The text will indicate when to working with the test suite. ## Background: Thinking in futures, in Rust - why futures? networking vs file/io, blocking vs non-blocking, sync vs async - futures from a user persective (not a poll-centric implementation perspective) - don't think too hard about executors and runtimes - method chaining and how it transforms the future type - debugging Rust types - Result vs Future vs FutureResult - error handling with futures - concrete futures vs boxed futures vs anonymous futures - note about futures 0.1 and futures 0.3 (we'll use futures 0.1) - note about async / await ## Part 1: Introducing tokio to the client Ultimately we're going to convert both the client and server to futures, but since the client is so simple, that's where we'll start. And we're going to introduce the tokio runtime first, while using your existing synchronous `KvsClient`. The for the client we're going to introduce the async runtime while keeping the sync `KvsClient`, then convert the `KvsClient`. The `connect` method of `KvsClient`. note that as a library `KvsClient` can offer the most efficiency based on futures, but our kvs-client bin doesn't take advantage of it, so the bin is going to look a bit silly running a single future and exiting. TODO @sticnarf - see if you can write test cases that are agnostic to the concrete future types, so they work with all the below strategies. ## Part 2: Converting `KvsClient` to boxed futures the path of least resistence for future types ## Part 3: `KvsClient` with explicit future types just to have the experience of seeing how untenable it is ## Part 4: `KvsClient` with anonymous future types the final solution ## Part 5: Making `ThreadPool` sharable ## Part 6: Converting `KvsEngine` to futures for the server we're going to do the opposite of what we did in the client, and give `KvsEngine` an async interface. this will show that futures and the underlying runtime are independent, and just general provide a spectrum of experience. ## Part 7: Driving `KvsEngine` with tokio note that even though we have ourselves have written very little asynchronous code, that tokio itself is distributing asynchronous work across num_cpus threads. think about the tradeoffs of putting cpu-intensive work directly on the network threads or the file threads, e.g. where does the serialization go? TODO Nice coding, friend. Enjoy a nice break. --- ## Extension 1: Converting to tokio-fs not sure if this should be required or an extension ================================================ FILE: courses/rust/projects/project-5/src/bin/kvs-client.rs ================================================ use clap::AppSettings; use kvs::{KvsClient, Result}; use std::net::SocketAddr; use std::process::exit; use structopt::StructOpt; use tokio::prelude::*; #[derive(StructOpt, Debug)] #[structopt( name = "kvs-client", raw(global_settings = "&[\ AppSettings::DisableHelpSubcommand,\ AppSettings::VersionlessSubcommands]") )] struct Opt { #[structopt(subcommand)] command: Command, } #[derive(StructOpt, Debug)] enum Command { #[structopt(name = "get", about = "Get the string value of a given string key")] Get { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt( long, help = "Sets the server address", value_name = "IP:PORT", default_value = "127.0.0.1:4000", parse(try_from_str) )] addr: SocketAddr, }, #[structopt(name = "set", about = "Set the value of a string key to a string")] Set { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt(name = "VALUE", help = "The string value of the key")] value: String, #[structopt( long, help = "Sets the server address", value_name = "IP:PORT", default_value = "127.0.0.1:4000", parse(try_from_str) )] addr: SocketAddr, }, #[structopt(name = "rm", about = "Remove a given string key")] Remove { #[structopt(name = "KEY", help = "A string key")] key: String, #[structopt( long, help = "Sets the server address", value_name = "IP:PORT", default_value = "127.0.0.1:4000", parse(try_from_str) )] addr: SocketAddr, }, } fn main() { let opt = Opt::from_args(); if let Err(e) = run(opt) { eprintln!("{}", e); exit(1); } } fn run(opt: Opt) -> Result<()> { match opt.command { Command::Get { key, addr } => { let client = KvsClient::connect(addr); if let (Some(value), _) = client.and_then(move |client| client.get(key)).wait()? { println!("{}", value); } else { println!("Key not found"); } } Command::Set { key, value, addr } => { let client = KvsClient::connect(addr); client .and_then(move |client| client.set(key, value)) .wait()?; } Command::Remove { key, addr } => { let client = KvsClient::connect(addr); client.and_then(move |client| client.remove(key)).wait()?; } } Ok(()) } ================================================ FILE: courses/rust/projects/project-5/src/bin/kvs-server.rs ================================================ #[macro_use] extern crate log; #[macro_use] extern crate clap; use kvs::thread_pool::*; use kvs::{KvStore, KvsEngine, KvsServer, Result, SledKvsEngine}; use log::LevelFilter; use std::env; use std::env::current_dir; use std::fs; use std::net::SocketAddr; use std::process::exit; use structopt::StructOpt; const DEFAULT_LISTENING_ADDRESS: &str = "127.0.0.1:4000"; const DEFAULT_ENGINE: Engine = Engine::kvs; #[derive(StructOpt, Debug)] #[structopt(name = "kvs-server")] struct Opt { #[structopt( long, help = "Sets the listening address", value_name = "IP:PORT", raw(default_value = "DEFAULT_LISTENING_ADDRESS"), parse(try_from_str) )] addr: SocketAddr, #[structopt( long, help = "Sets the storage engine", value_name = "ENGINE-NAME", raw(possible_values = "&Engine::variants()") )] engine: Option, } arg_enum! { #[allow(non_camel_case_types)] #[derive(Debug, Copy, Clone, PartialEq, Eq)] enum Engine { kvs, sled } } fn main() { env_logger::builder().filter_level(LevelFilter::Info).init(); let mut opt = Opt::from_args(); let res = current_engine().and_then(move |curr_engine| { if opt.engine.is_none() { opt.engine = curr_engine; } if curr_engine.is_some() && opt.engine != curr_engine { error!("Wrong engine!"); exit(1); } run(opt) }); if let Err(e) = res { error!("{}", e); exit(1); } } fn run(opt: Opt) -> Result<()> { let engine = opt.engine.unwrap_or(DEFAULT_ENGINE); info!("kvs-server {}", env!("CARGO_PKG_VERSION")); info!("Storage engine: {}", engine); info!("Listening on {}", opt.addr); // write engine to engine file fs::write(current_dir()?.join("engine"), format!("{}", engine))?; let concurrency = num_cpus::get() as u32; match engine { Engine::kvs => run_with( KvStore::::open(env::current_dir()?, concurrency)?, opt.addr, ), Engine::sled => run_with( SledKvsEngine::::new( sled::Db::start_default(env::current_dir()?)?, concurrency, )?, opt.addr, ), } } pub fn run_with(engine: E, addr: SocketAddr) -> Result<()> { let server = KvsServer::new(engine); server.run(addr) } fn current_engine() -> Result> { let engine = current_dir()?.join("engine"); if !engine.exists() { return Ok(None); } match fs::read_to_string(engine)?.parse() { Ok(engine) => Ok(Some(engine)), Err(e) => { warn!("The content of engine file is invalid: {}", e); Ok(None) } } } ================================================ FILE: courses/rust/projects/project-5/src/client.rs ================================================ use crate::common::{Request, Response}; use crate::KvsError; use std::net::SocketAddr; use tokio::codec::{FramedRead, FramedWrite, LengthDelimitedCodec}; use tokio::io::{ReadHalf, WriteHalf}; use tokio::net::TcpStream; use tokio::prelude::*; use tokio_serde_json::{ReadJson, WriteJson}; /// Key value store client pub struct KvsClient { read_json: ReadJson, LengthDelimitedCodec>, Response>, write_json: WriteJson, LengthDelimitedCodec>, Request>, } impl KvsClient { /// Connect to `addr` to access `KvsServer`. pub fn connect(addr: SocketAddr) -> impl Future { TcpStream::connect(&addr) .map(|tcp| { let (read_half, write_half) = tcp.split(); let read_json = ReadJson::new(FramedRead::new(read_half, LengthDelimitedCodec::new())); let write_json = WriteJson::new(FramedWrite::new(write_half, LengthDelimitedCodec::new())); KvsClient { read_json, write_json, } }) .map_err(|e| e.into()) } /// Get the value of a given key from the server. pub fn get(self, key: String) -> impl Future, Self), Error = KvsError> { self.send_request(Request::Get { key }) .and_then(move |(resp, client)| match resp { Some(Response::Get(value)) => Ok((value, client)), Some(Response::Err(msg)) => Err(KvsError::StringError(msg)), Some(_) => Err(KvsError::StringError("Invalid response".to_owned())), None => Err(KvsError::StringError("No response received".to_owned())), }) } /// Set the value of a string key in the server. pub fn set(self, key: String, value: String) -> impl Future { self.send_request(Request::Set { key, value }) .and_then(move |(resp, client)| match resp { Some(Response::Set) => Ok(client), Some(Response::Err(msg)) => Err(KvsError::StringError(msg)), Some(_) => Err(KvsError::StringError("Invalid response".to_owned())), None => Err(KvsError::StringError("No response received".to_owned())), }) } /// Remove a string key in the server. pub fn remove(self, key: String) -> impl Future { self.send_request(Request::Remove { key }) .and_then(move |(resp, client)| match resp { Some(Response::Remove) => Ok(client), Some(Response::Err(msg)) => Err(KvsError::StringError(msg)), Some(_) => Err(KvsError::StringError("Invalid response".to_owned())), None => Err(KvsError::StringError("No response received".to_owned())), }) } fn send_request( self, req: Request, ) -> impl Future, Self), Error = KvsError> { let read_json = self.read_json; self.write_json .send(req) .and_then(move |write_json| { read_json .into_future() .map(move |(resp, read_json)| { let client = KvsClient { read_json, write_json, }; (resp, client) }) .map_err(|(err, _)| err) }) .map_err(|e| e.into()) } } ================================================ FILE: courses/rust/projects/project-5/src/common.rs ================================================ use serde::{Deserialize, Serialize}; #[derive(Debug, Serialize, Deserialize)] pub enum Request { Get { key: String }, Set { key: String, value: String }, Remove { key: String }, } #[derive(Debug, Serialize, Deserialize)] pub enum Response { Get(Option), Set, Remove, Err(String), } ================================================ FILE: courses/rust/projects/project-5/src/engines/kvs.rs ================================================ use std::cell::RefCell; use std::collections::BTreeMap; use std::ffi::OsStr; use std::fs::{self, File, OpenOptions}; use std::io::{self, BufReader, BufWriter, Read, Seek, SeekFrom, Write}; use std::ops::Range; use std::path::{Path, PathBuf}; use std::sync::atomic::{AtomicU64, Ordering}; use std::sync::{Arc, Mutex}; use crossbeam::queue::ArrayQueue; use crossbeam_skiplist::SkipMap; use serde::{Deserialize, Serialize}; use serde_json::Deserializer; use tokio::prelude::*; use tokio::sync::oneshot; use super::KvsEngine; use crate::thread_pool::ThreadPool; use crate::{KvsError, Result}; const COMPACTION_THRESHOLD: u64 = 1024 * 1024; /// The `KvStore` stores string key/value pairs. /// /// Key/value pairs are persisted to disk in log files. Log files are named after /// monotonically increasing generation numbers with a `log` extension name. /// A skip list in memory stores the keys and the value locations for fast query. /// /// ```rust /// # use kvs::{KvStore, Result}; /// # use kvs::thread_pool::{ThreadPool, RayonThreadPool}; /// # use tokio::prelude::*; /// # fn try_main() -> Result<()> { /// use std::env::current_dir; /// use kvs::KvsEngine; /// let mut store: KvStore = KvStore::open(current_dir()?, 2)?; /// store.set("key".to_owned(), "value".to_owned()).wait()?; /// let val = store.get("key".to_owned()).wait()?; /// assert_eq!(val, Some("value".to_owned())); /// # Ok(()) /// # } /// ``` #[derive(Clone)] pub struct KvStore { // directory for the log and other data path: Arc, // map generation number to the file reader index: Arc>, writer: Arc>, thread_pool: P, reader_pool: Arc>, } impl KvStore

{ /// Opens a `KvStore` with the given path. /// /// This will create a new directory if the given one does not exist. /// /// `concurrency` specifies how many threads at most can read the database at the same time. /// /// # Errors /// /// It propagates I/O or deserialization errors during the log replay. pub fn open(path: impl Into, concurrency: u32) -> Result { let path = Arc::new(path.into()); fs::create_dir_all(&*path)?; let mut readers = BTreeMap::new(); let index = Arc::new(SkipMap::new()); let gen_list = sorted_gen_list(&path)?; let mut uncompacted = 0; for &gen in &gen_list { let mut reader = BufReaderWithPos::new(File::open(log_path(&path, gen))?)?; uncompacted += load(gen, &mut reader, &*index)?; readers.insert(gen, reader); } let current_gen = gen_list.last().unwrap_or(&0) + 1; let writer = new_log_file(&path, current_gen)?; let safe_point = Arc::new(AtomicU64::new(0)); let reader = KvStoreReader { path: Arc::clone(&path), safe_point, readers: RefCell::new(BTreeMap::new()), }; let writer = KvStoreWriter { reader: reader.clone(), writer, current_gen, uncompacted, path: Arc::clone(&path), index: Arc::clone(&index), }; let thread_pool = P::new(concurrency)?; let reader_pool = Arc::new(ArrayQueue::new(concurrency as usize)); for _ in 1..concurrency { reader_pool.push(reader.clone()).unwrap(); } reader_pool.push(reader).unwrap(); Ok(KvStore { path, index, writer: Arc::new(Mutex::new(writer)), thread_pool, reader_pool, }) } } impl KvsEngine for KvStore

{ /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. /// /// # Errors /// /// It propagates I/O or serialization errors during writing the log. fn set(&self, key: String, value: String) -> Box + Send> { let writer = self.writer.clone(); let (tx, rx) = oneshot::channel(); self.thread_pool.spawn(move || { let res = writer.lock().unwrap().set(key, value); if tx.send(res).is_err() { error!("Receiving end is dropped"); } }); Box::new( rx.map_err(|e| KvsError::StringError(format!("{}", e))) .flatten(), ) } /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. fn get(&self, key: String) -> Box, Error = KvsError> + Send> { let reader_pool = self.reader_pool.clone(); let index = self.index.clone(); let (tx, rx) = oneshot::channel(); self.thread_pool.spawn(move || { let res = (|| { if let Some(cmd_pos) = index.get(&key) { let reader = reader_pool.pop().unwrap(); let res = if let Command::Set { value, .. } = reader.read_command(*cmd_pos.value())? { Ok(Some(value)) } else { Err(KvsError::UnexpectedCommandType) }; reader_pool.push(reader).unwrap(); res } else { Ok(None) } })(); if tx.send(res).is_err() { error!("Receiving end is dropped"); } }); Box::new( rx.map_err(|e| KvsError::StringError(format!("{}", e))) .flatten(), ) } /// Removes a given key. /// /// # Error /// /// It returns `KvsError::KeyNotFound` if the given key is not found. /// /// It propagates I/O or serialization errors during writing the log. fn remove(&self, key: String) -> Box + Send> { let writer = self.writer.clone(); let (tx, rx) = oneshot::channel(); self.thread_pool.spawn(move || { let res = writer.lock().unwrap().remove(key); if tx.send(res).is_err() { error!("Receiving end is dropped"); } }); Box::new( rx.map_err(|e| KvsError::StringError(format!("{}", e))) .flatten(), ) } } /// A single thread reader. /// /// Each `KvStore` instance has its own `KvStoreReader` and /// `KvStoreReader`s open the same files separately. So the user /// can read concurrently through multiple `KvStore`s in different /// threads. struct KvStoreReader { path: Arc, // generation of the latest compaction file safe_point: Arc, readers: RefCell>>, } impl KvStoreReader { /// Close file handles with generation number less than safe_point. /// /// `safe_point` is updated to the latest compaction gen after a compaction finishes. /// The compaction generation contains the sum of all operations before it and the /// in-memory index contains no entries with generation number less than safe_point. /// So we can safely close those file handles and the stale files can be deleted. fn close_stale_handles(&self) { let mut readers = self.readers.borrow_mut(); while !readers.is_empty() { let first_gen = *readers.keys().next().unwrap(); if self.safe_point.load(Ordering::SeqCst) <= first_gen { break; } readers.remove(&first_gen); } } /// Read the log file at the given `CommandPos`. fn read_and(&self, cmd_pos: CommandPos, f: F) -> Result where F: FnOnce(io::Take<&mut BufReaderWithPos>) -> Result, { self.close_stale_handles(); let mut readers = self.readers.borrow_mut(); // Open the file if we haven't opened it in this `KvStoreReader`. // We don't use entry API here because we want the errors to be propogated. if !readers.contains_key(&cmd_pos.gen) { let reader = BufReaderWithPos::new(File::open(log_path(&self.path, cmd_pos.gen))?)?; readers.insert(cmd_pos.gen, reader); } let reader = readers.get_mut(&cmd_pos.gen).unwrap(); reader.seek(SeekFrom::Start(cmd_pos.pos))?; let cmd_reader = reader.take(cmd_pos.len); f(cmd_reader) } // Read the log file at the given `CommandPos` and deserialize it to `Command`. fn read_command(&self, cmd_pos: CommandPos) -> Result { self.read_and(cmd_pos, |cmd_reader| { Ok(serde_json::from_reader(cmd_reader)?) }) } } impl Clone for KvStoreReader { fn clone(&self) -> KvStoreReader { KvStoreReader { path: Arc::clone(&self.path), safe_point: Arc::clone(&self.safe_point), // don't use other KvStoreReader's readers readers: RefCell::new(BTreeMap::new()), } } } struct KvStoreWriter { reader: KvStoreReader, writer: BufWriterWithPos, current_gen: u64, // the number of bytes representing "stale" commands that could be // deleted during a compaction uncompacted: u64, path: Arc, index: Arc>, } impl KvStoreWriter { fn set(&mut self, key: String, value: String) -> Result<()> { let cmd = Command::set(key, value); let pos = self.writer.pos; serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Set { key, .. } = cmd { if let Some(old_cmd) = self.index.get(&key) { self.uncompacted += old_cmd.value().len; } self.index .insert(key, (self.current_gen, pos..self.writer.pos).into()); } if self.uncompacted > COMPACTION_THRESHOLD { self.compact()?; } Ok(()) } fn remove(&mut self, key: String) -> Result<()> { if self.index.contains_key(&key) { let cmd = Command::remove(key); let pos = self.writer.pos; serde_json::to_writer(&mut self.writer, &cmd)?; self.writer.flush()?; if let Command::Remove { key } = cmd { let old_cmd = self.index.remove(&key).expect("key not found"); self.uncompacted += old_cmd.value().len; // the "remove" command itself can be deleted in the next compaction // so we add its length to `uncompacted` self.uncompacted += self.writer.pos - pos; } if self.uncompacted > COMPACTION_THRESHOLD { self.compact()?; } Ok(()) } else { Err(KvsError::KeyNotFound) } } /// Clears stale entries in the log. fn compact(&mut self) -> Result<()> { // increase current gen by 2. current_gen + 1 is for the compaction file let compaction_gen = self.current_gen + 1; self.current_gen += 2; self.writer = new_log_file(&self.path, self.current_gen)?; let mut compaction_writer = new_log_file(&self.path, compaction_gen)?; let mut new_pos = 0; // pos in the new log file for entry in self.index.iter() { let len = self.reader.read_and(*entry.value(), |mut entry_reader| { Ok(io::copy(&mut entry_reader, &mut compaction_writer)?) })?; self.index.insert( entry.key().clone(), (compaction_gen, new_pos..new_pos + len).into(), ); new_pos += len; } compaction_writer.flush()?; self.reader .safe_point .store(compaction_gen, Ordering::SeqCst); self.reader.close_stale_handles(); // remove stale log files // Note that actually these files are not deleted immediately because `KvStoreReader`s // still keep open file handles. When `KvStoreReader` is used next time, it will clear // its stale file handles. On Unix, the files will be deleted after all the handles // are closed. On Windows, the deletions below will fail and stale files are expected // to be deleted in the next compaction. let stale_gens = sorted_gen_list(&self.path)? .into_iter() .filter(|&gen| gen < compaction_gen); for stale_gen in stale_gens { let file_path = log_path(&self.path, stale_gen); if let Err(e) = fs::remove_file(&file_path) { error!("{:?} cannot be deleted: {}", file_path, e); } } self.uncompacted = 0; Ok(()) } } /// Create a new log file with given generation number and add the reader to the readers map. /// /// Returns the writer to the log. fn new_log_file(path: &Path, gen: u64) -> Result> { let path = log_path(&path, gen); let writer = BufWriterWithPos::new( OpenOptions::new() .create(true) .write(true) .append(true) .open(&path)?, )?; Ok(writer) } /// Returns sorted generation numbers in the given directory fn sorted_gen_list(path: &Path) -> Result> { let mut gen_list: Vec = fs::read_dir(&path)? .flat_map(|res| -> Result<_> { Ok(res?.path()) }) .filter(|path| path.is_file() && path.extension() == Some("log".as_ref())) .flat_map(|path| { path.file_name() .and_then(OsStr::to_str) .map(|s| s.trim_end_matches(".log")) .map(str::parse::) }) .flatten() .collect(); gen_list.sort_unstable(); Ok(gen_list) } /// Load the whole log file and store value locations in the index map. /// /// Returns how many bytes can be saved after a compaction. fn load( gen: u64, reader: &mut BufReaderWithPos, index: &SkipMap, ) -> Result { // To make sure we read from the beginning of the file let mut pos = reader.seek(SeekFrom::Start(0))?; let mut stream = Deserializer::from_reader(reader).into_iter::(); let mut uncompacted = 0; // number of bytes that can be saved after a compaction while let Some(cmd) = stream.next() { let new_pos = stream.byte_offset() as u64; match cmd? { Command::Set { key, .. } => { if let Some(old_cmd) = index.get(&key) { uncompacted += old_cmd.value().len; } index.insert(key, (gen, pos..new_pos).into()); } Command::Remove { key } => { if let Some(old_cmd) = index.remove(&key) { uncompacted += old_cmd.value().len; } // the "remove" command itself can be deleted in the next compaction // so we add its length to `uncompacted` uncompacted += new_pos - pos; } } pos = new_pos; } Ok(uncompacted) } fn log_path(dir: &Path, gen: u64) -> PathBuf { dir.join(format!("{}.log", gen)) } /// Struct representing a command #[derive(Serialize, Deserialize, Debug)] enum Command { Set { key: String, value: String }, Remove { key: String }, } impl Command { fn set(key: String, value: String) -> Command { Command::Set { key, value } } fn remove(key: String) -> Command { Command::Remove { key } } } /// Represents the position and length of a json-serialized command in the log #[derive(Debug, Clone, Copy)] struct CommandPos { gen: u64, pos: u64, len: u64, } impl From<(u64, Range)> for CommandPos { fn from((gen, range): (u64, Range)) -> Self { CommandPos { gen, pos: range.start, len: range.end - range.start, } } } struct BufReaderWithPos { reader: BufReader, pos: u64, } impl BufReaderWithPos { fn new(mut inner: R) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufReaderWithPos { reader: BufReader::new(inner), pos, }) } } impl Read for BufReaderWithPos { fn read(&mut self, buf: &mut [u8]) -> io::Result { let len = self.reader.read(buf)?; self.pos += len as u64; Ok(len) } } impl Seek for BufReaderWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.reader.seek(pos)?; Ok(self.pos) } } struct BufWriterWithPos { writer: BufWriter, pos: u64, } impl BufWriterWithPos { fn new(mut inner: W) -> Result { let pos = inner.seek(SeekFrom::Current(0))?; Ok(BufWriterWithPos { writer: BufWriter::new(inner), pos, }) } } impl Write for BufWriterWithPos { fn write(&mut self, buf: &[u8]) -> io::Result { let len = self.writer.write(buf)?; self.pos += len as u64; Ok(len) } fn flush(&mut self) -> io::Result<()> { self.writer.flush() } } impl Seek for BufWriterWithPos { fn seek(&mut self, pos: SeekFrom) -> io::Result { self.pos = self.writer.seek(pos)?; Ok(self.pos) } } ================================================ FILE: courses/rust/projects/project-5/src/engines/mod.rs ================================================ pub use self::kvs::KvStore; pub use self::sled::SledKvsEngine; use crate::KvsError; use tokio::prelude::Future; mod kvs; mod sled; /// Trait for a key value storage engine. pub trait KvsEngine: Clone + Send + 'static { /// Sets the value of a string key to a string. /// /// If the key already exists, the previous value will be overwritten. fn set(&self, key: String, value: String) -> Box + Send>; /// Gets the string value of a given string key. /// /// Returns `None` if the given key does not exist. fn get(&self, key: String) -> Box, Error = KvsError> + Send>; /// Removes a given key. /// /// # Errors /// /// It returns `KvsError::KeyNotFound` if the given key is not found. fn remove(&self, key: String) -> Box + Send>; } ================================================ FILE: courses/rust/projects/project-5/src/engines/sled.rs ================================================ use crate::thread_pool::ThreadPool; use crate::{KvsEngine, KvsError, Result}; use sled::Db; use tokio::prelude::*; use tokio::sync::oneshot; /// Wrapper of `sled::Db` #[derive(Clone)] pub struct SledKvsEngine { pool: P, db: Db, } impl SledKvsEngine

{ /// Creates a `SledKvsEngine` from `sled::Db`. /// /// Operations are run in the given thread pool. `concurrency` specifies the number of /// threads in the thread pool. pub fn new(db: Db, concurrency: u32) -> Result { let pool = P::new(concurrency)?; Ok(SledKvsEngine { pool, db }) } } impl KvsEngine for SledKvsEngine

{ fn set(&self, key: String, value: String) -> Box + Send> { let db = self.db.clone(); let (tx, rx) = oneshot::channel(); self.pool.spawn(move || { let res = db .set(key, value.into_bytes()) .and_then(|_| db.flush()) .map(|_| ()) .map_err(KvsError::from); if tx.send(res).is_err() { error!("Receiving end is dropped"); } }); Box::new( rx.map_err(|e| KvsError::StringError(format!("{}", e))) .flatten(), ) } fn get(&self, key: String) -> Box, Error = KvsError> + Send> { let db = self.db.clone(); let (tx, rx) = oneshot::channel(); self.pool.spawn(move || { let res = (move || { Ok(db .get(key)? .map(|i_vec| AsRef::<[u8]>::as_ref(&i_vec).to_vec()) .map(String::from_utf8) .transpose()?) })(); if tx.send(res).is_err() { error!("Receiving end is dropped"); } }); Box::new( rx.map_err(|e| KvsError::StringError(format!("{}", e))) .flatten(), ) } fn remove(&self, key: String) -> Box + Send> { let db = self.db.clone(); let (tx, rx) = oneshot::channel(); self.pool.spawn(move || { let res = (|| { db.del(key)?.ok_or(KvsError::KeyNotFound)?; db.flush()?; Ok(()) })(); if tx.send(res).is_err() { error!("Receiving end is dropped"); } }); Box::new( rx.map_err(|e| KvsError::StringError(format!("{}", e))) .flatten(), ) } } ================================================ FILE: courses/rust/projects/project-5/src/error.rs ================================================ use failure::Fail; use std::io; use std::string::FromUtf8Error; /// Error type for kvs #[derive(Fail, Debug)] pub enum KvsError { /// IO error #[fail(display = "IO error: {}", _0)] Io(#[cause] io::Error), /// Serialization or deserialization error #[fail(display = "serde_json error: {}", _0)] Serde(#[cause] serde_json::Error), /// Removing non-existent key error #[fail(display = "Key not found")] KeyNotFound, /// Unexpected command type error. /// It indicated a corrupted log or a program bug. #[fail(display = "Unexpected command type")] UnexpectedCommandType, /// Key or value is invalid UTF-8 sequence #[fail(display = "UTF-8 error: {}", _0)] Utf8(#[cause] FromUtf8Error), /// Sled error #[fail(display = "sled error: {}", _0)] Sled(#[cause] sled::Error), /// Error with a string message #[fail(display = "{}", _0)] StringError(String), } impl From for KvsError { fn from(err: io::Error) -> KvsError { KvsError::Io(err) } } impl From for KvsError { fn from(err: serde_json::Error) -> KvsError { KvsError::Serde(err) } } impl From for KvsError { fn from(err: FromUtf8Error) -> KvsError { KvsError::Utf8(err) } } impl From for KvsError { fn from(err: sled::Error) -> KvsError { KvsError::Sled(err) } } /// Result type for kvs pub type Result = std::result::Result; ================================================ FILE: courses/rust/projects/project-5/src/lib.rs ================================================ #![deny(missing_docs)] //! A simple key/value store. #[macro_use] extern crate log; pub use client::KvsClient; pub use engines::{KvStore, KvsEngine, SledKvsEngine}; pub use error::{KvsError, Result}; pub use server::KvsServer; mod client; mod common; mod engines; mod error; mod server; pub mod thread_pool; ================================================ FILE: courses/rust/projects/project-5/src/server.rs ================================================ use crate::common::{Request, Response}; use crate::{KvsEngine, KvsError, Result}; use std::net::SocketAddr; use tokio::codec::{FramedRead, FramedWrite, LengthDelimitedCodec}; use tokio::net::{TcpListener, TcpStream}; use tokio::prelude::*; use tokio_serde_json::{ReadJson, WriteJson}; /// The server of a key value store. pub struct KvsServer { engine: E, } impl KvsServer { /// Create a `KvsServer` with a given storage engine. pub fn new(engine: E) -> Self { KvsServer { engine } } /// Run the server listening on the given address pub fn run(self, addr: SocketAddr) -> Result<()> { let listener = TcpListener::bind(&addr)?; let server = listener .incoming() .map_err(|e| error!("IO error: {}", e)) .for_each(move |tcp| { let engine = self.engine.clone(); serve(engine, tcp).map_err(|e| error!("Error on serving client: {}", e)) }); tokio::run(server); Ok(()) } } fn serve(engine: E, tcp: TcpStream) -> impl Future { let (read_half, write_half) = tcp.split(); let read_json = ReadJson::new(FramedRead::new(read_half, LengthDelimitedCodec::new())); let resp_stream = read_json .map_err(KvsError::from) .and_then( move |req| -> Box + Send> { match req { Request::Get { key } => Box::new(engine.get(key).map(Response::Get)), Request::Set { key, value } => { Box::new(engine.set(key, value).map(|_| Response::Set)) } Request::Remove { key } => { Box::new(engine.remove(key).map(|_| Response::Remove)) } } }, ) .then(|resp| -> Result { match resp { Ok(resp) => Ok(resp), Err(e) => Ok(Response::Err(format!("{}", e))), } }); let write_json = WriteJson::new(FramedWrite::new(write_half, LengthDelimitedCodec::new())); write_json .sink_map_err(KvsError::from) .send_all(resp_stream) .map(|_| ()) } ================================================ FILE: courses/rust/projects/project-5/src/thread_pool/mod.rs ================================================ //! This module provides various thread pools. All thread pools should implement //! the `ThreadPool` trait. use crate::Result; mod naive; mod rayon; mod shared_queue; pub use self::naive::NaiveThreadPool; pub use self::rayon::RayonThreadPool; pub use self::shared_queue::SharedQueueThreadPool; /// The trait that all thread pools should implement. pub trait ThreadPool: Clone + Send + 'static { /// Creates a new thread pool, immediately spawning the specified number of /// threads. /// /// Returns an error if any thread fails to spawn. All previously-spawned threads /// are terminated. fn new(threads: u32) -> Result where Self: Sized; /// Spawns a function into the thread pool. /// /// Spawning always succeeds, but if the function panics the threadpool continues /// to operate with the same number of threads — the thread count is not /// reduced nor is the thread pool destroyed, corrupted or invalidated. fn spawn(&self, job: F) where F: FnOnce() + Send + 'static; } ================================================ FILE: courses/rust/projects/project-5/src/thread_pool/naive.rs ================================================ use std::thread; use super::ThreadPool; use crate::Result; /// It is actually not a thread pool. It spawns a new thread every time /// the `spawn` method is called. #[derive(Clone)] pub struct NaiveThreadPool; impl ThreadPool for NaiveThreadPool { fn new(_threads: u32) -> Result { Ok(NaiveThreadPool) } fn spawn(&self, job: F) where F: FnOnce() + Send + 'static, { thread::spawn(job); } } ================================================ FILE: courses/rust/projects/project-5/src/thread_pool/rayon.rs ================================================ use super::ThreadPool; use crate::{KvsError, Result}; use std::sync::Arc; /// Wrapper of rayon::ThreadPool #[derive(Clone)] pub struct RayonThreadPool(Arc); impl ThreadPool for RayonThreadPool { fn new(threads: u32) -> Result { let pool = rayon::ThreadPoolBuilder::new() .num_threads(threads as usize) .build() .map_err(|e| KvsError::StringError(format!("{}", e)))?; Ok(RayonThreadPool(Arc::new(pool))) } fn spawn(&self, job: F) where F: FnOnce() + Send + 'static, { self.0.spawn(job) } } ================================================ FILE: courses/rust/projects/project-5/src/thread_pool/shared_queue.rs ================================================ use std::thread; use super::ThreadPool; use crate::Result; use crossbeam::channel::{self, Receiver, Sender}; // Note for Rust training course: the thread pool is not implemented using // `catch_unwind` because it would require the task to be `UnwindSafe`. /// A thread pool using a shared queue inside. /// /// If a spawned task panics, the old thread will be destroyed and a new one will be /// created. It fails silently when any failure to create the thread at the OS level /// is captured after the thread pool is created. So, the thread number in the pool /// can decrease to zero, then spawning a task to the thread pool will panic. #[derive(Clone)] pub struct SharedQueueThreadPool { tx: Sender>, } impl ThreadPool for SharedQueueThreadPool { fn new(threads: u32) -> Result { let (tx, rx) = channel::unbounded::>(); for _ in 0..threads { let rx = TaskReceiver(rx.clone()); thread::Builder::new().spawn(move || run_tasks(rx))?; } Ok(SharedQueueThreadPool { tx }) } /// Spawns a function into the thread pool. /// /// # Panics /// /// Panics if the thread pool has no thread. fn spawn(&self, job: F) where F: FnOnce() + Send + 'static, { self.tx .send(Box::new(job)) .expect("The thread pool has no thread."); } } #[derive(Clone)] struct TaskReceiver(Receiver>); impl Drop for TaskReceiver { fn drop(&mut self) { if thread::panicking() { let rx = self.clone(); if let Err(e) = thread::Builder::new().spawn(move || run_tasks(rx)) { error!("Failed to spawn a thread: {}", e); } } } } fn run_tasks(rx: TaskReceiver) { loop { match rx.0.recv() { Ok(task) => { task(); } Err(_) => debug!("Thread exits because the thread pool is destroyed."), } } } ================================================ FILE: courses/rust/projects/project-5/tests/cli.rs ================================================ use assert_cmd::prelude::*; use predicates::str::{contains, is_empty}; use std::fs::{self, File}; use std::process::Command; use std::sync::mpsc; use std::thread; use std::time::Duration; use tempfile::TempDir; // `kvs-client` with no args should exit with a non-zero code. #[test] fn client_cli_no_args() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-client").unwrap(); cmd.current_dir(&temp_dir).assert().failure(); } #[test] fn client_cli_invalid_get() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "extra", "field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_set() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "missing_field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key", "value", "extra_field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key", "value", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_rm() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "extra", "field"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key", "--addr", "invalid-addr"]) .current_dir(&temp_dir) .assert() .failure(); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key", "--unknown-flag"]) .current_dir(&temp_dir) .assert() .failure(); } #[test] fn client_cli_invalid_subcommand() { let temp_dir = TempDir::new().unwrap(); Command::cargo_bin("kvs-client") .unwrap() .args(&["unknown"]) .current_dir(&temp_dir) .assert() .failure(); } // `kvs-client -V` should print the version #[test] fn client_cli_version() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-client").unwrap(); cmd.args(&["-V"]) .current_dir(&temp_dir) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } // `kvs-server -V` should print the version #[test] fn server_cli_version() { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["-V"]) .current_dir(&temp_dir) .assert() .stdout(contains(env!("CARGO_PKG_VERSION"))); } #[test] fn cli_log_configuration() { let temp_dir = TempDir::new().unwrap(); let stderr_path = temp_dir.path().join("stderr"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "kvs", "--addr", "127.0.0.1:4001"]) .current_dir(&temp_dir) .stderr(File::create(&stderr_path).unwrap()) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let content = fs::read_to_string(&stderr_path).expect("unable to read from stderr file"); assert!(content.contains(env!("CARGO_PKG_VERSION"))); assert!(content.contains("kvs")); assert!(content.contains("127.0.0.1:4001")); } #[test] fn cli_wrong_engine() { // sled first, kvs second { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "sled", "--addr", "127.0.0.1:4002"]) .current_dir(&temp_dir) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["--engine", "kvs", "--addr", "127.0.0.1:4003"]) .current_dir(&temp_dir) .assert() .failure(); } // kvs first, sled second { let temp_dir = TempDir::new().unwrap(); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); let mut child = cmd .args(&["--engine", "kvs", "--addr", "127.0.0.1:4002"]) .current_dir(&temp_dir) .spawn() .unwrap(); thread::sleep(Duration::from_secs(1)); child.kill().expect("server exited before killed"); let mut cmd = Command::cargo_bin("kvs-server").unwrap(); cmd.args(&["--engine", "sled", "--addr", "127.0.0.1:4003"]) .current_dir(&temp_dir) .assert() .failure(); } } fn cli_access_server(engine: &str, addr: &str) { let (sender, receiver) = mpsc::sync_channel(0); let temp_dir = TempDir::new().unwrap(); let mut server = Command::cargo_bin("kvs-server").unwrap(); let mut child = server .args(&["--engine", engine, "--addr", addr]) .current_dir(&temp_dir) .spawn() .unwrap(); let handle = thread::spawn(move || { let _ = receiver.recv(); // wait for main thread to finish child.kill().expect("server exited before killed"); }); thread::sleep(Duration::from_secs(1)); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key1", "value1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout("value1\n"); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key1", "value2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout("value2\n"); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("Key not found")); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .failure() .stderr(contains("Key not found")); Command::cargo_bin("kvs-client") .unwrap() .args(&["set", "key2", "value3", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); Command::cargo_bin("kvs-client") .unwrap() .args(&["rm", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(is_empty()); sender.send(()).unwrap(); handle.join().unwrap(); // Reopen and check value let (sender, receiver) = mpsc::sync_channel(0); let mut server = Command::cargo_bin("kvs-server").unwrap(); let mut child = server .args(&["--engine", engine, "--addr", addr]) .current_dir(&temp_dir) .spawn() .unwrap(); let handle = thread::spawn(move || { let _ = receiver.recv(); // wait for main thread to finish child.kill().expect("server exited before killed"); }); thread::sleep(Duration::from_secs(1)); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key2", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("value3")); Command::cargo_bin("kvs-client") .unwrap() .args(&["get", "key1", "--addr", addr]) .current_dir(&temp_dir) .assert() .success() .stdout(contains("Key not found")); sender.send(()).unwrap(); handle.join().unwrap(); } #[test] fn cli_access_server_kvs_engine() { cli_access_server("kvs", "127.0.0.1:4004"); } #[test] fn cli_access_server_sled_engine() { cli_access_server("sled", "127.0.0.1:4005"); } ================================================ FILE: courses/rust/projects/project-5/tests/kv_store.rs ================================================ use kvs::thread_pool::RayonThreadPool; use kvs::{KvStore, KvsEngine, KvsError, Result}; use tempfile::TempDir; use tokio::prelude::*; use tokio::runtime::Runtime; use walkdir::WalkDir; // Should get previously stored value #[test] fn get_stored_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::::open(temp_dir.path(), 1)?; store.set("key1".to_owned(), "value1".to_owned()).wait()?; store.set("key2".to_owned(), "value2".to_owned()).wait()?; assert_eq!( store.get("key1".to_owned()).wait()?, Some("value1".to_owned()) ); assert_eq!( store.get("key2".to_owned()).wait()?, Some("value2".to_owned()) ); // Open from disk again and check persistent data drop(store); let store = KvStore::::open(temp_dir.path(), 1)?; assert_eq!( store.get("key1".to_owned()).wait()?, Some("value1".to_owned()) ); assert_eq!( store.get("key2".to_owned()).wait()?, Some("value2".to_owned()) ); Ok(()) } // Should overwrite existent value #[test] fn overwrite_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::::open(temp_dir.path(), 1)?; store.set("key1".to_owned(), "value1".to_owned()).wait()?; assert_eq!( store.get("key1".to_owned()).wait()?, Some("value1".to_owned()) ); store.set("key1".to_owned(), "value2".to_owned()).wait()?; assert_eq!( store.get("key1".to_owned()).wait()?, Some("value2".to_owned()) ); // Open from disk again and check persistent data drop(store); let store = KvStore::::open(temp_dir.path(), 1)?; assert_eq!( store.get("key1".to_owned()).wait()?, Some("value2".to_owned()) ); store.set("key1".to_owned(), "value3".to_owned()).wait()?; assert_eq!( store.get("key1".to_owned()).wait()?, Some("value3".to_owned()) ); Ok(()) } // Should get `None` when getting a non-existent key #[test] fn get_non_existent_value() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::::open(temp_dir.path(), 1)?; store.set("key1".to_owned(), "value1".to_owned()).wait()?; assert_eq!(store.get("key2".to_owned()).wait()?, None); // Open from disk again and check persistent data drop(store); let store = KvStore::::open(temp_dir.path(), 1)?; assert_eq!(store.get("key2".to_owned()).wait()?, None); Ok(()) } #[test] fn remove_non_existent_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::::open(temp_dir.path(), 1)?; assert!(store.remove("key1".to_owned()).wait().is_err()); Ok(()) } #[test] fn remove_key() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::::open(temp_dir.path(), 1)?; store.set("key1".to_owned(), "value1".to_owned()).wait()?; assert!(store.remove("key1".to_owned()).wait().is_ok()); assert_eq!(store.get("key1".to_owned()).wait()?, None); Ok(()) } // Insert data until total size of the directory decreases. // Test data correctness after compaction. #[test] fn compaction() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::::open(temp_dir.path(), 1)?; let dir_size = || { let entries = WalkDir::new(temp_dir.path()).into_iter(); let len: walkdir::Result = entries .map(|res| { res.and_then(|entry| entry.metadata()) .map(|metadata| metadata.len()) }) .sum(); len.expect("fail to get directory size") }; let mut current_size = dir_size(); for iter in 0..1000 { for key_id in 0..1000 { let key = format!("key{}", key_id); let value = format!("{}", iter); store.set(key, value).wait()?; } let new_size = dir_size(); if new_size > current_size { current_size = new_size; continue; } // Compaction triggered drop(store); // reopen and check content let store = KvStore::::open(temp_dir.path(), 1)?; for key_id in 0..1000 { let key = format!("key{}", key_id); assert_eq!(store.get(key).wait()?, Some(format!("{}", iter))); } return Ok(()); } panic!("No compaction detected"); } #[test] fn concurrent_set() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); // concurrent set in 8 threads let store = KvStore::::open(temp_dir.path(), 8)?; let runtime = Runtime::new()?; let executor = runtime.executor(); runtime.block_on_all(future::lazy(move || { for i in 0..10000 { executor.spawn( store .set(format!("key{}", i), format!("value{}", i)) .map_err(|_| ()), ); } future::ok::<(), KvsError>(()) }))?; // We only check concurrent set in this test, so we check sequentially here let store = KvStore::::open(temp_dir.path(), 1)?; for i in 0..10000 { assert_eq!( store.get(format!("key{}", i)).wait()?, Some(format!("value{}", i)) ); } Ok(()) } #[test] fn concurrent_get() -> Result<()> { let temp_dir = TempDir::new().expect("unable to create temporary working directory"); let store = KvStore::::open(temp_dir.path(), 8)?; // We only check concurrent get in this test, so we set sequentially here for i in 0..100 { store .set(format!("key{}", i), format!("value{}", i)) .wait() .unwrap(); } let runtime = Runtime::new()?; let executor = runtime.executor(); runtime.block_on_all(future::lazy(move || { for thread_id in 0..100 { for i in 0..100 { let key_id = (i + thread_id) % 100; executor.spawn( store .get(format!("key{}", key_id)) .map(move |res| { assert_eq!(res, Some(format!("value{}", key_id))); }) .map_err(|_| ()), ); } } future::ok::<(), KvsError>(()) }))?; // reload from disk and test again let store = KvStore::::open(temp_dir.path(), 8)?; let runtime = Runtime::new()?; let executor = runtime.executor(); runtime.block_on_all(future::lazy(move || { for thread_id in 0..100 { for i in 0..100 { let key_id = (i + thread_id) % 100; executor.spawn( store .get(format!("key{}", key_id)) .map(move |res| { assert_eq!(res, Some(format!("value{}", key_id))); }) .map_err(|_| ()), ); } } future::ok::<(), KvsError>(()) }))?; Ok(()) } ================================================ FILE: courses/rust/projects/project-5/tests/thread_pool.rs ================================================ use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::Arc; use kvs::thread_pool::*; use kvs::Result; use crossbeam_utils::sync::WaitGroup; fn spawn_counter(pool: P) -> Result<()> { const TASK_NUM: usize = 20; const ADD_COUNT: usize = 1000; let wg = WaitGroup::new(); let counter = Arc::new(AtomicUsize::new(0)); for _ in 0..TASK_NUM { let counter = Arc::clone(&counter); let wg = wg.clone(); pool.spawn(move || { for _ in 0..ADD_COUNT { counter.fetch_add(1, Ordering::SeqCst); } drop(wg); }) } wg.wait(); assert_eq!(counter.load(Ordering::SeqCst), TASK_NUM * ADD_COUNT); Ok(()) } fn spawn_panic_task() -> Result<()> { const TASK_NUM: usize = 1000; let pool = P::new(4)?; for _ in 0..TASK_NUM { pool.spawn(move || { // It suppresses flood of panic messages to the console. // You may find it useful to comment this out during development. panic_control::disable_hook_in_current_thread(); panic!(); }) } spawn_counter(pool) } #[test] fn naive_thread_pool_spawn_counter() -> Result<()> { let pool = NaiveThreadPool::new(4)?; spawn_counter(pool) } #[test] fn shared_queue_thread_pool_spawn_counter() -> Result<()> { let pool = SharedQueueThreadPool::new(4)?; spawn_counter(pool) } #[test] fn rayon_thread_pool_spawn_counter() -> Result<()> { let pool = RayonThreadPool::new(4)?; spawn_counter(pool) } #[test] fn shared_queue_thread_pool_panic_task() -> Result<()> { spawn_panic_task::() } ================================================ FILE: courses/tp101-intro-to-oss.md ================================================ # TP 101: Introduction to Open Source Software This course includes a collection of some open source software related learning materials and will walk you through some of the key concepts of open source. ***Important note:*** ***Introduction to Open Source Software is in an alpha state.*** Its scope is limited. If you are taking it now you are brave, but you are also an early tester and your feedback is greatly appreciated. You are encouraged to reporting bugs, suggest changes, update the contents, etc. **See [Contributing Guide](../CONTRIBUTING.md)for more details.** ## Who this is for Anyone interesed in open source ## What you will learn? * what open source software is * the history of open source software and what benefits it has provided to the world’s technology infrastructure over the decades * different licensing models that are available, as this will help you decide what the best license is for your project. * open source organizations and the roles of foundations in open source projects ### Prerequisites: None. This course is a great introduction for you to learn open source. ## Course details ### Chapter 1: Open Source Overview **Learning Materials:** * [What is Open Source explained in LEGO](https://www.youtube.com/watch?v=a8fHgx9mE5U), a video made by [Socialsquare](https://www.youtube.com/user/bitblueprint), can help you easily understand the idea of Open Source, even for people with no prior knowledge of Open Source or Free Software. * [6 pivotal moments in open source history](https://opensource.com/article/18/2/pivotal-moments-history-open-source), a blog written by [Dave Neary](https://opensource.com/users/dneary), can help you learn about the key moments in the history of open source. * [Why Open Source](https://ben.balter.com/2015/11/23/why-open-source/), a blog written by [Ben Balter](https://ben.balter.com/about/), listed many reasons why you might consider consuming, publishing, collaborating on, or supporting open source. * [Open Source vs. Closed Source Software](https://www.youtube.com/watch?v=2q91vTvc7YE), a video where you can learn about the differences between open-source software and closed-source software * [The Future of Open Source?](https://www.youtube.com/watch?v=ZCmqeOHhjzk&t=32s) | When Open Source gets monetized, a video talks about what the future of open source looks like. ### Chapter 2: Open Source Licenses **Learning Materials:** * [Licenses & Standards](https://opensource.org/licenses) shows the general accepted licenses, which has undergone rigorous review by the open source legal community. * [Open Source Licenses Comparison [Guide]](https://itsfoss.com/open-source-licenses-explained/) gives an effective Open Source licenses comparison. With Open Source licenses explained there, it should help you choose the right Open Source license for your project. * [The Legal Side of Open Source](https://opensource.guide/legal/) tells everything you've ever wondered about the legal side of open source, and a few things you didn't. ### Chapter 3: Open Source Organizations **Learning Materials:** * [Open source organizations](https://opensource.com/resources/organizations) listed some open source organizations providing processes for managing intellectual property, accepting financial contributions, and other infrastructure and stewardship that growing projects need, such as Apache Software Foundation, Cloud Native Computing Foundation, Linux Foundation, and so on. * [The Role of Foundations in Open Source Projects](https://livablesoftware.com/study-open-source-foundations/), a blog posted by Javier Cánovas, who studied the role of foundations in open source software development with his/her friends, and found that very few foundations are devoted to providing complete support to the projects they endorse, and that their mission is more directed towards providing legal support and leading evangelizing actions. ### Suggeted Assignments You can self-test your learning outcomes by drawing a mindmap of (either of them) : * open source history * pros and cons of open source * how to choose an open source license The mindmap is encourged to be submitted by creating a pull request to the this course. Learn how to create a pull request in [TP 102: How to Use Git and GitHub](tp102-how-to-use-git-github.md) ## Users who took this course also took * [TP 102: How to Use Git and GitHub](tp102-how-to-use-git-github.md) * [TP 103: Build A Welcoming Open Source Community](tp103-open-source-community.md) ## Acknowledgement Special Thanks to `Jamie Xu`, `Lillian Li`, `Ran Huang`, and `Weiwei Wang` for testing this course and updating the materials ================================================ FILE: courses/tp102-how-to-use-git-github.md ================================================ # TP 102: How to Use Git and GitHub Git and GitHub are commonly used tools in open source practice. Whether you are considering contribute to an open source project or start your own open source project. This course includes a collection of Git and GitHub related learning materials and will guide you through everything you need to start contributing, from managing notifications to merging pull requests. ***Important note:*** ***How to Use Git and GitHub is in an alpha state.*** Its scope is limited. If you are taking it now you are brave, but you are also an early tester and your feedback is greatly appreciated. You are encouraged to reporting bugs, suggest changes, update the contents, etc. **See [Contributing Guide](../CONTRIBUTING.md) for more details.** ## Who this is for New GitHub users, users new to Git ## What you will learn? * what GitHub is * how to use GitHub * how to create a branch and a commit * how to review a pull request * how to manage merge conflicts * how to communicate using Markdown ### Prerequisites: None. This course is a great introduction for your first day on GitHub. ## Course details ### Chapter 1: Introduction to GitHub **Learning Material(s):** * [Introduction to GitHub](https://lab.github.com/githubtraining/introduction-to-github), an open source course created by [The GitHub Training Team](https://lab.github.com/githubtraining) **Suggested Assignments:** * Finish the lab. ### Chapter 2: Reviewing pull requests **Learning Material(s):** * [Reviewing pull requests](https://lab.github.com/githubtraining/reviewing-pull-requests), an open source course created by [The GitHub Training Team](https://lab.github.com/githubtraining) **Suggested Assignments:** * Finish the lab. ### Chapter 3: Managing merge conflicts **Learning Material(s):** * [Managing merge conflicts](https://lab.github.com/githubtraining/managing-merge-conflicts), an open source course created by [The GitHub Training Team](https://lab.github.com/githubtraining) **Suggested Assignments:** * Finish the lab. ### Chapter 4: Communicating using Markdown **Learning Material(s):** * [Communicating using Markdown](https://lab.github.com/githubtraining/communicating-using-markdown), an open source course created by [The GitHub Training Team](https://lab.github.com/githubtraining) **Suggested Assignments:** * Finish the lab. ### Chapter 5: Git Handbook * [Git Handbook](https://guides.github.com/introduction/git-handbook/), the official learning material provided by [GitHub Guides](https://guides.github.com/) **Suggested Assignments:** No assignments, the git skill will be tested all the time you participate in an open source project. ## Users who took this course also took * [TP 101: Introduction to Open Source Software](tp101-intro-to-oss.md) * [TP 103: Build A Welcoming Open Source Community](tp103-open-source-community.md) ## Acknowledgement Special Thanks to: * `Producer Wen`, `Qinyao Yang`, and `Jason Zhang`for testing this course and updating the materials. * [The GitHub Training Team](https://lab.github.com/githubtraining) for creating open source courses above. ================================================ FILE: courses/tp103-open-source-community.md ================================================ # TP 103: Build A Welcoming Community A welcoming community is an investment into your project’s future and reputation. People in a welcoming community may be encouraged to use, contribute to, and evangelize your project. This course includes a collection of open source community related learning materials and will guide you through roles in open source projects, community governance model, tips for keeping the community vibrant, combined with open source practice in TiDB as a study case. ***Important note:*** ***Build A Welcoming Community is in an alpha state.*** Its scope is limited. If you are taking it now you are brave, but you are also an early tester and your feedback is greatly appreciated. You are encouraged to reporting bugs, suggest changes, update the contents, etc. **See [Contributing Guide](../CONTRIBUTING.md) for more details.** ## Who this is for Owners of open source projects, open source enthusiasts ## What you will learn? * roles and organism in Open Source Community * community governance model * how to Keep the Community Vibrant * leadership in open source community ### Prerequisites: We recommend you first complete [TP 101: Introduction to Open Source Software](./tp101-intro-to-oss.md) ## Course details ### Chapter 1: Roles and Organism in Open Source Community **Learning Materials:** * [Roles In Open Source Projects](http://oss-watch.ac.uk/resources/rolesinopensource) * [How to build an open source community](http://oss-watch.ac.uk/resources/howtobuildcommunity) * [Governance Models](http://oss-watch.ac.uk/resources/governancemodels) * *[The Cathedral & the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary](https://www.goodreads.com/book/show/134825.The_Cathedral_the_Bazaar)* ### Chapter 2: Rules for an Online Community **Learning Materials:** * [How to Create & Enforce Rules for an Online Community](https://www.impactbnd.com/blog/how-to-create-enforce-rules-for-an-online-community) * [Writing Great Rules for Your Facebook Group | Facebook Community](https://www.facebook.com/community/establishing-membership-and-rules/how-to-write-great-group-rules/) * [Your Code of Conduct | Open Source Guides](https://opensource.guide/code-of-conduct/) * [GitHub Community Guidelines - GitHub Help](https://help.github.com/en/github/site-policy/github-community-guidelines) * [Women of Email™](https://www.facebook.com/groups/womenofemail/) (Example) * [Community - Kubernetes](https://kubernetes.io/community/code-of-conduct/) （Example) ### Chapter 3: How to Keep the Community Vibrant **Learning Materials:** * Online * [How to Build a Vibrant Open-Source Community in 5 Steps](https://adevait.com/blog/workplace/build-open-source-community) * [25 Experts Drop Wisdom on How to Grow a Vibrant Online Community](https://www.postplanner.com/expert-advice-how-to-grow-vibrant-online-community/) * [How to better communicate with your community](https://www.trainingjournal.com/articles/features/how-better-communicate-your-community) * [How do open source communities blog?](https://mast.informatik.uni-hamburg.de/wp-content/uploads/2013/01/How-do-open-source-communities-blog.pdf) * [The Best 6 Free and Open Source Webinar Software Solutions](https://www.goodfirms.co/blog/best-free-open-source-webinar-software-solutions) * Offline * [Events: The life force of open source](https://www.redhat.com/en/blog/events-life-force-open-source) * [Making the Best Open Source Meetups](https://sourceforge.net/blog/making-best-open-source-meetups/) * [How to Meetup: Hosting and Finding Community Events](https://www.youtube.com/watch?v=SkwKOVCDGM8&list=PLlrxD0HtieHjdA53xa_-iR5KoKHXlVULP&index=23) * [The Top 42 Meetup Open Source Projects](https://awesomeopensource.com/projects/meetup) * [40 top Linux and open source conferences in 2019](https://opensource.com/article/18/12/top-2019-conferences) ### Chapter 4: Leadership in Open Source Community **Learning Materials:** * [How to Community: Anatomy of Successful Open Source Communities and Projects](https://www.youtube.com/watch?v=nGKSnMdBFsk) * [Building effective community leaders: a guide - Jono Bacon at DevXcon 2018](https://www.youtube.com/watch?v=PHHt1I0x8VM) * [Leadership and Governance](https://opensource.guide/leadership-and-governance/) ### Case Study * [Open Source Practice in TiDB](https://github.com/tidb-incubator/tidb-in-action/tree/master/session5) ### Suggested Assignments * Taking an open source project as an example, try to figure out the pros and cons of its community. The outcome is encouraged to be supplemented into [Case Study](#case-study) by creating a pull request. Learn how to create a pull request in [TP 102: How to Use Git and GitHub](tp102-how-to-use-git-github.md). ## Users who took this course also took * [TP 101: Introduction to Open Source Software](tp101-intro-to-oss.md) * [TP 102: How to Use Git and GitHub](tp102-how-to-use-git-github.md) ## Acknowledgement Special Thanks to `Calvin Weng`, `Coco Yi`, `Shen Lin`, `Linda Wang`, `Wenting Liu`, `Yajing Wang`for testing this course and updating the materials. ================================================ FILE: talent-challenge-program/MENTEE_APPLY_TEMPLATE.md ================================================ # Mentee Apply Template Mail to: talent-plan@tidb.io ## Mail Subject: TCP Mentee Application - {project name} - {personal name} ## Message body Please make a self-introduction briefly, including but not limited to: * your name * your nationality * your education background * your performance in talent plan courses or what you have contributed to TiDB projects * the project you are applying for ## Attachments Please attach your updated profile and any other materials that demonstrate your abilities. ================================================ FILE: talent-challenge-program/PROJECT_IDEA_TEMPLATE.md ================================================ ``` #### TiDB Ecosystem Project Name ##### Title - Description: - Recommended Skills: - Mentor(s): - Upstream Issue or RFC (URL): ``` ================================================ FILE: talent-challenge-program/README.md ================================================ # Talent Challenge Program Talent Challenge program is a platform that offers a structured remote mentoring program for **college students** successfully completing talent plan courses or having contributed to TiDB projects. Open source projects related to TiDB ecosystems will be selected together with professional mentors. Students **successfully completing talent plan courses or having contributed to TiDB projects** can apply for the projects, one at a time, and finish the projects with the help of the mentors in a given time. Mentees gain real-world experience by working closely with mentors. Students who successfully complete the projects will receive **bonus and better job opportunities**. ### Current cycle Talent Challenge program season 1 is ongoing, check the timeline and projects available on [dedicated page](s1.md). ## Communication Feel free to contact us in the **#talent-challenge** channel of the [tidbcommunity](https://slack.tidb.io/invite?team=tidb-community&channel=talent-challenge-&ref=github/talent-plan) slack workspace if any questions and suggestions about Talent Challenge program arise. ## How to Participate You can participate in Talent Challenge program based on your role. Talent Challenge supports the following roles. ### Project Maintainers/Mentors Project maintainers or mentors are requested to submit the ideas related to **TiDB Ecosystem** under the [Project Ideas](project-ideas.md) page using the [template](PROJECT_IDEA_TEMPLATE.md). PMC(Project Management Committee) of TiDB community will select the projects that will participate in the Talent Challenge program round and they will appear on the [Selected Projects](selected-projects.md) page after the selection. *Note:* - *Projects to be selected must have one mentor at least.* - *Mentors should be prepared to donate their time to help mentees with the project.* ### Mentees *Note:* - Only **students who have completed talent plan courses or having contributed to TiDB projects** can apply for Talent Challenge program. - You are eligible to participate as a mentee in a single project per-cycle. **Prior to the opening of applications, mentee candidates are encouraged to talk to mentors about the project.** This helps them refine their ideas and deepen their understanding of the project. #### Mentee selection process 1. Mentee candidates who want to participate in Talent Challenge are expected to join Slack Channel ([#talent-challenge](https://slack.tidb.io/invite?team=tidb-community&channel=talent-challenge-&ref=github/talent-plan)) to have self-introductions. 2. The mentors would communicate with mentee candidates about the project they would focus on and assign mentee candidates coding tasks. 3. Mentee candidates need to conduct coding tasks for their desired project under the guidance of mentors and submit their resumes to [talent-plan@tidb.io](maito:talent-plan@tidb.io) using the [template](MENTEE_APPLY_TEMPLATE.md). 4. The mentors would decide whether to accept mentee candidates in the project based on their scores of talent plan courses, coding assignments, and capabilities. ================================================ FILE: talent-challenge-program/project-ideas.md ================================================ ## Project ideas Project maintainers and mentors, please submit the ideas below section using the template. Project ideas selected in season 1 will be listed in [Selected Projects](selected-projects.md) page ### Template ``` #### TiDB Ecosystem Project Name ##### Title - Description: - Recommended Skills: - Mentor(s): - Upstream Issue or RFC (URL): ``` ### Proposed Project ideas #### BR ##### BR HTTP Storage - Description: Support HTTP(S) server as source and destination for BR, and allow BR itself act as an authenticated HTTP(S) server to simplify deployment. - Recommended Skills: Go, Rust, HTTP communication, TLS handling. - Mentor(s): kennytm - Upstream Issue or RFC (URL): - https://github.com/pingcap/br/issues/308, - https://github.com/pingcap/br/issues/212 ##### BR Export - Description: Building on top of BR backup, implement an “export” function to produce CSV and SQL dump. - Recommended Skills: Rust, Go, Row encoding (MVCC and TiDB), gRPC. - Mentor(s): kennytm - Upstream Issue or RFC (URL): https://github.com/pingcap/br/issues/351 #### TiUP Bench ##### Generate BR Backup Archive - Description: Currently TPC-C/TPC-H data prepared by tiup bench can either be inserted via SQL or dumped into CSV files for bulk ingestion. Both methods are slow compared with BR restore. In this project, we want to directly generate a BR backup archive, so benchmarks not caring about the prepare step could be ramped up quickly. - Recommended Skills: Go, Row encoding (TiDB), TiKV/RocksDB SST format - Mentor(s): kennytm - Upstream Issue or RFC (URL): https://github.com/pingcap/go-tpc/issues/46 #### TiCDC ##### TiCDC Cloud Storage - Description: Some usage scenarios need to send the changed events to low-cost storage medium such as S3, in order to keep data for a long time and can consume historical changed events asynchronously. We should design and implement the storage strategy for TiCDC open protocol in cloud storage, and provide the consumption strategies based on the storage sketch in cloud storage. - Recommended Skills: Go, Cloud storage service. - Mentor(s): yangfei Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/655 ##### TiCDC Snapshot Level Consistency Replication * Description: In many scenarios users want to ensure the downstream is replicated to a globally consistent state, as TiCDC supports eventual transaction consistency, and TiDB supports snapshot read, we could combine these two features and provide a snapshot level consistency replication strategy. * Recommended Skills: Go, Transaction. * Mentor(s): yangfei * Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/658 ##### TiCDC New Mechanism for ResolvedTS * Description: TiCDC needs a timestamp (called ResolvedTS) in which we can ensure all transactions which start before this timestamp have completed and been sent from TiKV to TiCDC. For now, TiKV must advance the ResolvedTS in the leader of the Raft group. We require a new mechanism to eliminate this restriction. * Recommended Skills: Go, Rust, Raft * Mentor(s): tangminghua * Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/657 ##### TiCDC Supports Avro Sink and Kafka Connector * Description: Apache Kafka provides a flexible connectors mechanism, which is widely used in change data capture scenarios. We want to implement an Avro sink and make TiCDC compatible with the Kafka connector ecosystem. * Recommended Skills: Go, Kafka. * Mentor(s): yangfei, liuzixiong * Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/660 ##### TiCDC Support a status mechanism for changefeed * Description: Various errors may be encountered during the execution of replication tasks (e.g. downstream link failure, incompatible DDLs, etc.). we hope to provide a mechanism so that users can quickly understand the status of the current replication task (normal or abnormal), and the reason for the error. * Recommended Skills: Go, SQL. * Mentor(s): zhaoyilin * Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/664 #### PD ##### PD Store & Region UI * Description: Add display and operation UI for PD stores and regions, in order to reduce the necessity of using pd-ctl and enhance user experience. * Recommended Skills: Go, Web Frontend. * Mentor(s): @HundunDM @breeswish * Upstream Issue or RFC (URL): https://docs.google.com/document/d/1moQVhvIgqu_FWuv_UMB76AM5tETJkyeWnzI04wyevhk/edit ##### PD Encryption at rest * Description: Encryption at rest means that data is encrypted when it is stored, TiKV is already supported, but PD is not. PD stores the meta information of the cluster, especially the Key information of the Region, we need to encrypt it. Here it is proposed that PD also supports encryption. * Recommended Skills: Go, Cryptography * Mentor(s)：@yiwu-arbug * Upstream Issue or RFC (URL): * TiKV: https://github.com/tikv/rfcs/blob/929bf1f5d675b555c013d863599544afd9bfe812/text/2020-04-27-encryption-at-rest.md * PD: WIP #### TiDB ##### Live Execution Plan * Description: Provide a way to query current execution details for running SQLs. This feature is similar to the Live Query Statistics in the SQL server. SQL server allows viewing the live execution plan for any queries. * Recommended Skills: Go, SQL * Mentor(s): @crazycs520 @breeswish @qw4990 * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/17692 ##### Print Txn ID and Query ID in log to trace the whole lifetime of a Txn / SQL * Description: TiDB now outputs TxnStartTs or ConnId in logs, which is not sufficient. This task is to allocate and print a unique TxnId for each transaction, as well as a unique QueryId for each query, for both TiDB and TiKV. * Recommended Skills: Go, Rust * Mentor(s): @crazycs520 @breeswish @SunRunAway * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/17845 ##### Defining Placement Rules in SQL * Description: TiDB supports placement rules, but it can only be defined in configuration files. If there is an approach to configure placement rules through statements, usability can be improved. * Recommended Skills: Go, Data Definition Language * Mentor(s): @djshow832 * Upstream Issue or RFC (URL): * https://github.com/pingcap/tidb/issues/18030 * https://docs.google.com/document/d/18Kdhi90dv33muF9k_VAIccNLeGf-DdQyUc8JlWF9Gok/edit# ##### Support Multiple Tables Rename in A Statement * Description: TiDB supports renaming one table but doesn’t support renaming multiple tables. This task wants to support renaming multiple tables in a statement. * Recommended Skills: Go, DDL * Mentor(s): @zimulala * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/14766 ##### Support the operation of dropping multi-indexes in a statement * Description: This task wants to support the operation of dropping multi-indexes in a statement. * Recommended Skills: Go, DDL * Mentor(s): @zimulala * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/14765 ##### Dropping column with index covered * Description: Support the operation of deleting columns containing indexes. * Recommended Skills: Go, DDL * Mentor(s): @zimulala * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/3364 ##### Support SAVEPOINT in TiDB * Description: SAVEPOINT is a feature basically supported by mainstream traditional databases (Oracle, DB2, MySQL, and PostgreSQL), and its role is to partially roll back multiple statements of the transaction being executed. TiDB does not currently support this feature. * Recommended Skills: Go * Mentor(s): @bobotu * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/6840 ##### Support LIST COLUMNS partitioning * Description: LIST COLUMNS partitioning is a feature basically supported by MySQL 8.0, and its role is to define table partition with list columns. TiDB does not currently support this feature. * Recommended Skills: Go, DDL, SQL * Mentor(s): @imtbkcat * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/18052 ##### Support Global Index for Partition Table * Description: Currently TiDB only supports local partitioned indexes that compatible with mysql，but other database(e.g. Oracle) also supports global partitioned indexes * Recommended Skills: Go, DDL, SQL * Mentor(s): @tiancaiamao * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/18032 ##### Implement Join Order Hint * Description: Provide a comment style SQL hint to specify the order of joins in the query. * Recommended Skills: Go, SQL * Mentor(s): @eurekaka * Upstream Issue or RFC (URL): WIP ##### Reduce memory consumption of stats data * Description: When there're lots of tables in a TiDB cluster, caching all the stats data into a single TiDB server may cause a high memory consumption when the TiDB server bootstrapped. It increases the OOM risk of the TiDB server. * Recommended Skills: Go * Mentor(s): @SunRunAway * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/16572 ##### Reduce memory consumption of table meta * Description: TiDB always loads all tables in all schema at once in bootstrap, which can consume very much memory. It increases the OOM risk of the TiDB server. * Recommended Skills: Go * Mentor(s): @bb7133, @SunRunAway * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/16572 ##### Support utf8_unicode_ci/utf8mb4_unicode_ci collation * Description: Implement the utf8_unicode_ci/utf8mb4_unicode_ci collation algorithm and optimize them. * Recommended Skills: Go * Mentor(s): @wjhuang2016 * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/17596 ##### Implement More Diagnostics Rules * Description: Add more diagnose rule in TiDB SQL diagnose. * Recommended Skills: Go, SQL * Mentor(s): @crazycs520 * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/17927 #### TiKV ##### Witness * Description: support raft witness role, and use it in the dual data center deployment scenario, TiDB can still provide service no matter which one of the data center crash * Recommended Skills: Rust, Raft * Mentor(s): @busyjay * Upstream Issue or RFC(URL): WIP ##### Loose Follower Read * Description: Provide a way to read follower doesn’t need to send a request to the leader * Recommended Skills: Rust, Raft * Mentor(s): @hicqu * Upstream Issue or RFC (URL): WIP ##### Write flow control * Description: Control the writing flow by requests' latency, and make the writing smoothly * Recommended Skills: Rust * Mentor(s): @Conner1996 * Upstream Issue or RFC (URL): https://docs.google.com/document/d/1rgm4rS2youwJpy_zpC39BJgxPpnwk7DeuF5LjvWrBZ8/edit# ##### SQL Statement Level Statistics * Description: To make it possible to know what statement is the root cause of hot regions, we need to add local statistics to TiKV that counts top K hot statements and then reports them to PD. * Recommended Skills: Rust, Go * Mentor(s): @breeswish @HundunDM * Upstream Issue or RFC (URL): https://github.com/pingcap-incubator/tidb-dashboard/issues/574 ================================================ FILE: talent-challenge-program/s1.md ================================================ # Talent Challenge Program Season 1 _Status: ongoing_ ### Timeline _Note: this timeline is proposed and may be subject to change before the formal program launch announcement_ - June 7 - June 19: project applications opened - projects are invited to submit their proposals to [Project Ideas](project-ideas.md) page; - June 21: selected projects/slots are announced; - June 21 - July 5: mentees applications opened, projects are selecting mentees; - July 8 - mentees are selected by the mentors, coding starts; - August 5 - 1st evaluation checkpoint; - Mentors verify the quality of the completed tasks; - First 50% of the stipend is being paid to the mentee if this stage is passed; - September 16 - 2nd (final) evaluation checkpoint; - Coding ends; - The other 50% of the stipend is being paid to the mentees; - September 23: results announced! ### Selected Projects Selected projects are listed on the [Selected Projects](selected-projects.md) page ================================================ FILE: talent-challenge-program/selected-projects.md ================================================ ## Selected Projects in Season 1 Selected Projects in Season 1 are listed below. Mentee candidates who want to participate in a certain project please refer to [Mentee Selection Process](README.md#mentees) The difficulty of the project is divided into three levels: Very hard, Hard, and Medium, the corresponding pre-tax bonus is RMB 10000 to a very hard project, RMB 8000 to a hard project and RMB 5000 to a medium project respectively. ### Template ``` #### TiDB Ecosystem Project Name ##### Title - Description: - Recommended Skills: - Mentor(s): - Upstream Issue or RFC (URL): - Difficulty: ``` ## List of Selected Projects #### BR ##### BR Export - Description: Building on top of BR backup, implement an “export” function to produce CSV and SQL dump. - Recommended Skills: Rust, Go, Row encoding (MVCC and TiDB), gRPC. - Mentor(s): @kennytm - Upstream Issue or RFC (URL): https://github.com/pingcap/br/issues/351 - Difficulty: Hard #### TiCDC ##### TiCDC Cloud Storage * Description: Some usage scenarios need to send the changed events to low-cost storage medium such as S3, in order to keep data for a long time and enable consuming historical changed events asynchronously. We should design and implement the storage strategy for TiCDC open protocol in cloud storage, and provide the consumption strategies based on the storage sketch in cloud storage. * Recommended Skills: Go, Cloud storage service. * Mentor(s): @amyangfei * Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/655 * Difficulty: Medium ##### TiCDC Snapshot Level Consistency Replication * Description: In many scenarios users want to ensure the downstream is replicated to a globally consistent state, as TiCDC supports eventual transaction consistency, and TiDB supports snapshot read, we could combine these two features and provide a snapshot level consistency replication strategy. * Recommended Skills: Go, Transaction. * Mentor(s): @amyangfei * Mentee: [@Colins110](https://github.com/Colins110) * Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/658 * Difficulty: Medium ##### TiCDC Supports Avro Sink and Kafka Connector * Description: Apache Kafka provides a flexible connectors mechanism, which is widely used in change data capture scenarios. We want to implement an Avro sink and make TiCDC compatible with the Kafka connector ecosystem. * Recommended Skills: Go, Kafka. * Mentor(s): @amyangfei, @liuzx * Mentee: [@qinggniq](https://github.com/qinggniq) * Upstream Issue or RFC (URL): https://github.com/pingcap/ticdc/issues/660 * Difficulty: Medium #### TiDB ##### Live Execution Plan * Description: Provide a way to query current execution details for running SQLs. This feature is similar to the Live Query Statistics in the SQL server. SQL server allows viewing the live execution plan for any queries. * Recommended Skills: Go, SQL * Mentor(s): @crazycs520 @breeswish @qw4990 * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/17692 * Difficulty: Medium ##### Defining Placement Rules in SQL * Description: TiDB supports placement rules, but it can only be defined in configuration files. If there is an approach to configure placement rules through statements, usability can be improved. * Recommended Skills: Go, Data Definition Language * Mentor(s): @djshow832 * Mentee: [@xhe](https://github.com/xhebox) * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/18030 * Difficulty: Hard ##### Support SAVEPOINT in TiDB * Description: SAVEPOINT is a feature basically supported by mainstream traditional databases (Oracle, DB2, MySQL, and PostgreSQL), and its role is to partially roll back multiple statements of the transaction being executed. TiDB does not currently support this feature. * Recommended Skills: Go * Mentor(s): @bobotu * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/6840 * Difficulty: Very Hard ##### Support Global Index for Partition Table * Description: Currently TiDB only supports local partitioned indexes that compatible with mysql，but other database(e.g. Oracle) also supports global partitioned indexes * Recommended Skills: Go, DDL, SQL * Mentor(s): @tiancaiamao * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/18032 * Difficulty: Hard ##### Reduce memory consumption of stats data * Description: When there're lots of tables in a TiDB cluster, caching all the stats data into a single TiDB server may cause a high memory consumption when the TiDB server bootstrapped. It increases the OOM risk of the TiDB server. * Recommended Skills: Go * Mentor(s): @SunRunAway * Mentee: @[miamiaoxyz](https://github.com/miamia0) * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/16572 * Difficulty: Medium ##### Support utf8_unicode_ci/utf8mb4_unicode_ci collation * Description: Implement the utf8_unicode_ci/utf8mb4_unicode_ci collation algorithm and optimize them. * Recommended Skills: Go, C++, Rust * Mentor(s): @wjhuang2016 * Mentee: @[xiongjiwei](https://github.com/xiongjiwei) * Upstream Issue or RFC (URL): https://github.com/pingcap/tidb/issues/17596 * Difficulty: Medium #### TiKV ##### SQL Statement Level Statistics * Description: To make it possible to know what statement is the root cause of hot regions, we need to add local statistics to TiKV that counts top K hot statements and then reports them to PD. * Recommended Skills: Rust, Go, Algorithm / Data Structure * Mentor(s): @breeswish @HundunDM * Upstream Issue or RFC (URL): https://github.com/pingcap-incubator/tidb-dashboard/issues/574 * Difficulty: Hard ##### HBase protocol support on Zetta * Description: Zetta is designed as a BigTable implementation on top of TiKV to support structured schemaless data model. In order to elaborate existing HBase ecosystem, we plan to implement the HBase protocol adaptor for Zetta. To achieve this, we need to: 1. Implement a mock ZooKeeper to eliminate external dependency 2. Implement RPC protocol of HBase RegionServer 3. Implement HBase functionality on top of Zetta * Recommended Skills: Go, Java, HBase RPC * Mentor(s): pseudocodes, baiyuqing * Mentee: [@BowenXiao1999](https://github.com/BowenXiao1999) * Upstream Issue or RFC (URL): https://github.com/zhihu/zetta/issues/2（in Chinese） * Difficulty: Hard #### Chaos Mesh ##### Support using plugins to extend scheduler * Description: In many scenarios users need to customize selector. For example, when our tidb cluster has multiple pds, we just want to inject the failure to the leader. So we need to provide a plugin to let the users to extend the selector, and users can implement their own selector through code. For example, we can create a file called `pd-selector.go` and set it in the selector field. * Recommended Skills: Go, Kubernetes * Mentor(s): @cwen0 * Upstream Issue or RFC (URL): https://github.com/pingcap/chaos-mesh/issues/193 * Difficulty: Medium ##### Support injecting HTTP fault * Description: In many scenarios, users need to inject an HTTP delay fault or an HTTP abort fault on the special application. For example, we just want to inject a delay fault on getting `/api/xxx` router. * Recommended Skills: Go, Kuberenetes * Mentor(s): @Yisaer * Upstream Issue or RFC (URL): https://github.com/pingcap/chaos-mesh/issues/651 * Difficulty: Hard ================================================ FILE: talent-challenge-program2021/MENTEE_APPLY_TEMPLATE.md ================================================ # Mentee Application Form Template Mail to: talent-plan@tidb.io ## Mail Subject: TCP Mentee Application - {project name} - {personal name} ## Message body Please make a self-introduction briefly, including but not limited to: * Your name * Your nationality * Your education background * The project you are applying for * Your performance in talent plan courses or what you have contributed to TiDB projects * Any other evidences that prove your capabilities ## Attachments Please attach your updated profile and any other materials that demonstrate your abilities. ================================================ FILE: talent-challenge-program2021/PROJECT_IDEA_TEMPLATE.md ================================================ ``` ## Description what's the problem, how to solve it ## Document Collection - Proposal doc: ${proposal doc} - Weekly report: ${weekly report link} ## Talent Challenge Program information - Mentor of this issue: @github_id - Recommended skills: ${skills and URL link} - Estimated Workloads: (XL, man-month) ## Milestones and action items Milestone 1: ${milestone descption}, Expected finish date: ${date} - [ ] action item 1 - [ ] action item 2 Milestone 2: ${milestone descption}, Expected finish date: ${date} - [ ] action item 1 - [ ] action item 2 ``` ================================================ FILE: talent-challenge-program2021/README.md ================================================ # Talent Challenge Program 2021 Talent Challenge program is a platform that offers a structured remote mentoring program for **college students** who have successfully completed talent plan courses or contributed to TiDB projects. Open source projects related to TiDB ecosystems will be selected together with professional mentors. Students can apply for the projects, one at a time, and finish the projects with the help of the mentors in a given time. Mentees gain real-world experiences by working closely with mentors. Students who successfully complete the projects will receive **bonus and better job opportunities**. ### Current cycle Talent Challenge program 2021 is ongoing, check the timeline and projects available on [dedicated page](schedule.md). ## Communication Feel free to contact us in the **#talent-challenge** channel of the [tidbcommunity](https://slack.tidb.io/invite?team=tidb-community&channel=talent-challenge-&ref=github/talent-plan) slack workspace if any questions and suggestions about Talent Challenge program arise. ## How to Participate You can participate in Talent Challenge program based on your role. Talent Challenge supports the following roles. ### Project Maintainers/Mentors Project maintainers or mentors are requested to submit the ideas related to **TiDB Ecosystem** under the [Project Ideas](project-ideas.md) page using the [template](PROJECT_IDEA_TEMPLATE.md). PMC(Project Management Committee) of TiDB community will select the projects that will participate in the Talent Challenge program round and they will appear on the [Selected Projects](selected-projects.md) page after the selection. *Note:* - *Projects to be selected must have one mentor at least.* - *Mentors should be prepared to donate their time to help mentees with the project.* ### Mentees *Note:* - Must be college students at school. - **Students who have completed talent plan courses or contributed to TiDB projects** are encouraged to apply for the program and they will be considered as priority, or who have proven capabilites on distributed database development. - You are eligible to participate as a mentee in a single project per-cycle. **Prior to the opening of applications, mentee candidates are encouraged to talk to mentors about the project.** This helps them refine their ideas and deepen their understanding of the project. #### Mentee selection process 1. Mentee candidates who want to participate in Talent Challenge are expected to join Slack Channel ([#talent-challenge](https://slack.tidb.io/invite?team=tidb-community&channel=talent-challenge-&ref=github/talent-plan)) to have self-introductions. 2. The mentors would communicate with mentee candidates about the project they would focus on and assign mentee candidates coding tasks. 3. Mentee candidates need to conduct coding tasks for their desired project under the guidance of mentors and submit their resumes to [talent-plan@tidb.io](maito:talent-plan@tidb.io) using the [template](MENTEE_APPLY_TEMPLATE.md). 4. The mentors would decide whether to accept mentee candidates in the project based on their scores of talent plan courses, coding assignments, and capabilities. ================================================ FILE: talent-challenge-program2021/project-ideas.md ================================================ ## Project ideas Project maintainers and mentors, please submit the ideas below section using the template. Project ideas selected in season 1 will be listed in [Selected Projects](selected-projects.md) page ### Template ``` ## TiDB Ecosystem Project Name ## Title ## Description what's the problem, how to solve it ## Document Collection - Proposal doc: ${proposal doc} - Weekly report: ${weekly report link} ## Talent Challenge Program information - Mentor of this issue: @github_id - Recommended skills: ${skills and URL link} - Estimated Workloads: (XL, man-month) ## Milestones and action items Milestone 1: ${milestone descption}, Expected finish date: ${date} - [ ] action item 1 - [ ] action item 2 Milestone 2: ${milestone descption}, Expected finish date: ${date} - [ ] action item 1 - [ ] action item 2 ``` ### Proposed Project ideas ================================================ FILE: talent-challenge-program2021/schedule.md ================================================ # Talent Challenge Program 2021 Schedule _Status: ongoing_ ### Timeline _Note: this timeline is proposed and may be subject to change before the formal program launch announcement_ #### Season 1 - June 15 - July 15: mentees applications opened, projects are selecting mentees; - July 19 - mentees are selected by the mentors, coding starts; - 1st evaluation checkpoint (mentor decides); - Mentors verify the quality of the completed tasks; - First 50% of the stipend is being paid to the mentee if this stage is passed; - 2nd (final) evaluation checkpoint (mentor decides); - Coding ends; - The other 50% of the stipend is being paid to the mentees; - results announced! #### Season 2 - Sep 01 - Sep 15: mentees applications opened, projects are selecting mentees; - Sep 20 - mentees are selected by the mentors, coding starts; - 1st evaluation checkpoint (mentor decides); - Mentors verify the quality of the completed tasks; - First 50% of the stipend is being paid to the mentee if this stage is passed; - 2nd (final) evaluation checkpoint (mentor decides); - Coding ends; - The other 50% of the stipend is being paid to the mentees; - results announced! #### Season 3 - Nov 01 - Nov 15: mentees applications opened, projects are selecting mentees; - Nov 18 - mentees are selected by the mentors, coding starts; - 1st evaluation checkpoint (mentor decides); - Mentors verify the quality of the completed tasks; - First 50% of the stipend is being paid to the mentee if this stage is passed; - 2nd (final) evaluation checkpoint (mentor decides); - Coding ends; - The other 50% of the stipend is being paid to the mentees; - results announced! ### Selected Projects Selected projects are listed on the [Selected Projects](selected-projects.md) page ================================================ FILE: talent-challenge-program2021/selected-projects.md ================================================ ## Selected Projects in Season 1 Selected Projects in Sprint 1 are listed below. Mentee candidates who want to participate in a certain project please refer to [Mentee Selection Process](README.md#mentees) The difficulty of the project is divided into three levels: Very hard, Hard, and Medium, the corresponding pre-tax bonus is RMB 10000 to a very hard project, RMB 8000 to a hard project and RMB 5000 to a medium project respectively. ### Template ``` ## Description what's the problem, how to solve it ## Document Collection - Proposal doc: ${proposal doc} - Weekly report: ${weekly report link} ## Talent Challenge Program information - Mentor of this issue: @github_id - Recommended skills: ${skills and URL link} - Estimated Workloads: (XL, man-month) ## Milestones and action items Milestone 1: ${milestone descption}, Expected finish date: ${date} - [ ] action item 1 - [ ] action item 2 Milestone 2: ${milestone descption}, Expected finish date: ${date} - [ ] action item 1 - [ ] action item 2 ``` ## List of Selected Projects #### SQL * [tidb/issues/25149](https://github.com/pingcap/tidb/issues/25149) Optimize CTE performance, [@wjhuang2016](https://github.com/wjhuang2016) * [tidb/issues/14486](https://github.com/pingcap/tidb/issues/14486) (Occupied)Implement missing JSON functions, [@nullnotnil](https://github.com/nullnotnil) * [tidb/issues/25152](https://github.com/pingcap/tidb/issues/25152) GBK charset, [@xiongjiwei](https://github.com/xiongjiwei) * [tidb/issues/25150](https://github.com/pingcap/tidb/issues/25150) (Occupied)Expression index GA, [@wjhuang2016](https://github.com/wjhuang2016) * [tidb/issues/25204](https://github.com/pingcap/tidb/issues/25204) Local temporary table, [@djshow832](https://github.com/djshow832) * [tidb/issues/14580](https://github.com/pingcap/tidb/issues/14580) Only full group by check，needed things(relational algebra, graph theory), [@winoros](https://github.com/winoros) * [tidb/issues/25293](https://github.com/pingcap/tidb/issues/25293) (Occupied)Optimizing hotspot small tables, [@tiancaiamao](https://github.com/tiancaiamao) * [tidb/issues/13709](https://github.com/pingcap/tidb/issues/13709) (Occupied)Cascades planner,[@chrysanxia](https://github.com/chrysanxia) * [tidb/issues/18745](https://github.com/pingcap/tidb/issues/18745) (Occupied)Support to export historical statistics,[@qw4990](https://github.com/qw4990) #### Storage * [tidb/issues/25281](https://github.com/pingcap/tidb/issues/25281) (Occupied)Historical Hotspot Region, [@nolouch](https://github.com/nolouch) * [pd/issues/4095](https://github.com/tikv/pd/issues/4095)(Occupied)Enhance Split Table Stability and Usability,[@Yisaer](https://github.com/Yisaer) * [pd/issues/3736](https://github.com/tikv/pd/issues/3736) Build scheduling model with Simulink, [@bufferflies](https://github.com/bufferflies) * [tikv/issues/10867](https://github.com/tikv/tikv/issues/10867) (Occupied)Support limiting read flow for TiKV IO rate limiter,[@Connor1996](https://github.com/connor1996) #### Talent Plan * [tidb/issues/25321](https://github.com/pingcap/tidb/issues/25321)（Occupied） TinySQL: design and implement a learning-friendly distributed database [@rebelice](https://github.com/rebelice) ================================================ FILE: talent-plan-1.0/1.0-lp-tidb.md ================================================ # 路径 1：TiDB 方向 ## 课程目标 * 掌握 Go 语言 * 掌握分布式计算基本原理 * 掌握数据库基础知识 * 掌握优化器和执行引擎基本原理 ## 课程内容 ### Section 1 熟悉 Go 语言基础知识 **学习资料：** * 阅读许老师的书 [《Go 语言开发》](https://book.douban.com/subject/11577300/) * [Go 官方教程](http://tour.golang.org/) * [Effective Go](https://golang.org/doc/effective_go.html) * [Profiling Go Programs](https://blog.golang.org/profiling-go-programs) **课程作业：** * 用 Go 语言实现一个多路归并的 Merge Sort：内存中有一个无序的 int64 数组，数组中有 16M 个整数，要求使用多个 goroutine 对这个无序数组进行排序，使得有元素按照从小到大的顺序排列，并且排序的性能需要比单线程 Quick Sort 快。 * 根据[框架](https://github.com/pingcap/talent-plan/tree/master/tidb/mergesort)完成程序，**要求跑通测试程序，并使用 Go Profile 工具分析性能瓶颈。需要有文档、单元测试、性能瓶颈分析。** ### Section 2 分布式计算基础知识 **学习资料：** * 学习并使用 Go 语言完成 [6.824 Lab 1: MapReduce](https://pdos.csail.mit.edu/6.824/labs/lab-1.html) **课程作业：** * 使用 Go 语言，使用框架代码，用 MapReduce + Shuffle 的方式完成作业：从包含大量 URL 的数据文件中，求出现次数最多的前 10 个 URL 和他们的出现次数，尽量利用 CPU 多核特性和内存资源。 * 根据[作业框架](https://github.com/pingcap/talent-plan/tree/master/tidb/mapreduce)完成作业，详细的作业要求、框架的使用方法和评分规则请看框架的 README 文件 ### Section 3 数据库基础知识 **学习资料：** * [《数据库系统概念》](https://book.douban.com/subject/1929984/)部分章节阅读和自学，或者 [CMU 15-445](https://15445.courses.cs.cmu.edu/fall2018/schedule.html) 对应部分内容 * 第 3 章：SQL * 第 11 章：索引与散列 * 第 12 章：查询处理 * 第 13 章：查询优化 * 第 14 章：事务 * 第 15 章：并发控制 * 第 18 章：并行数据库 * 第 19 章：分布式数据库 **课程作业：** * select t1.a, count(*), avg(t1.b) from t1 left outer join t2 on t1.a=t2.a group by t1.a，请给出所有可能的逻辑执行计划（画出 Plan 树），并分析 t1 的数据分布对各种逻辑执行计划执行性能的影响。画 Plan 树时可以利用 [Graphviz 作图](http://www.webgraphviz.com)，例如对于 select * from t where a > 1，一个可能的执行计划可以如下图所示： ![Execution-example](../media/execution-example.jpg) ### Section 4 SQL 优化器和执行引擎基本原理 **学习资料：** * [CMU 15-721](https://15721.courses.cs.cmu.edu/spring2018/) 数据库课程，自学 + 在线视频教学 * Optimizer Implementation (Part I) * Optimizer Implementation (Part II) * Cost Models * Execution & Scheduling * Vectorized Execution (Part I) * Vectorized Execution (Part II) * Parallel Join Algorithms (Hashing) * Parallel Join Algorithms (Sorting) **课程作业：** * 用 Go 语言，实现一个 Join 算法，从两个 CSV 文件中读取数据，在一个或多个等值条件上进行连接，并对最终结果求和。请参考 [README](https://github.com/pingcap/talent-plan/tree/master/tidb/join) ，使用提供的框架完成作业，并跑通测试程序。提交的作业要求代码整洁规范，附有文档，并提供对程序的性能瓶颈分析及优化思路。 ### Section 5 阅读 TiDB 源码 **学习资料：** * [TiDB 源码阅读 24 章经](https://pingcap.com/blog-cn/#TiDB-%E6%BA%90%E7%A0%81%E9%98%85%E8%AF%BB) **课程作业：** * 给 TiDB Repo 提 PR，例如修复 [for new contributors issues](https://github.com/pingcap/tidb/issues?utf8=%E2%9C%93&q=is%3Aissue+is%3Aopen+label%3A%22for+new+contributors%22+)。 ## 考核要点 完成各项作业，代码通过邮件提交到 ts-team@pingcap.com，要求使用 Golang 1.12，需要有代码、测试、注释、文档。 我们会根据以下规则进行评分，最终得到一个 0~100 分的分数 1. 代码可以跑过 PingCAP 提供的测试程序（一些题目有性能要求，希望在规定的时间内跑完）50% 2. 单元测试覆盖率 30% 3. [代码风格](https://github.com/pingcap/community/blob/master/CONTRIBUTING.md#code-style) 10% 4. 文档情况 10% ================================================ FILE: talent-plan-1.0/1.0-lp-tikv.md ================================================ # 路径 2：TiKV 方向 ## 课程目标 * 掌握 Rust 语言 * 掌握分布式一致性算法 Raft * 掌握分布式存储基本原理 ## 课程内容 ### Section 1 熟悉 Rust 语言基础知识 **学习资料：** * [Practical Networked Applications in Rust](https://github.com/pingcap/talent-plan/tree/master/courses/rust) * 阅读《[Rust 编程之道](https://book.douban.com/subject/30418895/)》或者《[深入浅出 Rust](https://book.douban.com/subject/30312231/)》或者 [Rust 官方教程](https://doc.rust-lang.org/book/) 三选一 **课程作业：** * 完成 [Practical Networked Applications in Rust](https://github.com/pingcap/talent-plan/tree/master/courses/rust) 中 Project 1、2（给该课程提出改进意见并帮助改进，根据意见及改进情况会有额外加分哦~） ### Section 2 熟悉 Rust 语言基础知识 **学习资料：** * [Practical Networked Applications in Rust](https://github.com/pingcap/talent-plan/tree/master/courses/rust) * 阅读《[Rust 编程之道](https://book.douban.com/subject/30418895/)》或者《[深入浅出 Rust](https://book.douban.com/subject/30312231/)》或者 [Rust 官方教程](https://doc.rust-lang.org/book/) 三选一 **课程作业：** * 完成 [Practical Networked Applications in Rust](https://github.com/pingcap/talent-plan/tree/master/courses/rust) 中 Project 3、4（给该课程提出改进意见并帮助改进，根据意见及改进情况会有额外加分哦~） ### Section 3 分布式存储基础知识 **学习资料：** * 学习 Raft Paper 和 [6.824 Lab 2: Raft](https://pdos.csail.mit.edu/6.824/labs/lab-raft.html) 线上课程 **课程作业：** * 使用 Rust 语言 完成 6.824 Lab 2 [raft 作业](https://github.com/pingcap/talent-plan/tree/master/dss) ### Section 4 分布式系统基础知识 **学习资料：** * 完成 [6.824 Lab 3: Fault-tolerant Key/Value Service](https://pdos.csail.mit.edu/6.824/labs/lab-kvraft.html) 线上课程 **课程作业：** * 使用 Rust 语言 完成 6.824 Lab 3 [kvraft 作业](https://github.com/pingcap/talent-plan/tree/master/dss) ### Section 5 阅读 TiKV 源码 **学习资料：** * [TiKV 源码解析](https://pingcap.com/blog-cn/#TiKV-%E6%BA%90%E7%A0%81%E8%A7%A3%E6%9E%90)（持续更新中） **课程作业：** * 给 TiKV Repo 提 PR，例如修复 [for new contributors issues](https://github.com/tikv/tikv/issues?q=is%3Aissue+is%3Aopen+label%3A%22D%3A+Easy%22+label%3A%22S%3A+HelpWanted%22)。 * 给 PD Repo 提 PR，例如修复 [for new contributors issues]()。 ## 考核方式 根据提交到程序是否能通过测试给出 Pass or Fail 1. 代码可以跑过 PingCAP 提供的测试程序 50% a. make check b. make test 2. 代码风格 30% 3. 文档情况 20% ================================================ FILE: talent-plan-1.0/README-CN.md ================================================ # Talent Plan Courses 1.0 Talent Plan 1.0 课程中共有 2 条学习路径供大家选择，分别是： * 面向分布式关系型数据库 SQL 层的 [TiDB 方向](1.0-lp-tidb.md) * 面向分布式 Key-value 数据库存储层的 [TiKV 方向](1.0-lp-tikv.md) 正在学习 Talent Plan 1.0 课程的小伙伴可通过上述链接查看相关路径的课程详情。 > ***特别提醒：*** > > Talent Plan 2.0 课程已正式上线，相比 1.0 版本，新增了用 Go 语言全新设计的分布式关系型数据库 TinySQL 课程和分布式 Key-value 数据库 TinyKV 课程，并结合大家的兴趣爱好和知识背景全新规划了 5 条推荐的学习路径，分别是： > > * 路径 1：[实现一个 Mini 版本的分布式关系型数据库](https://learn.pingcap.com/learner/talent-plan/implement-a-mini-distributed-relational-database) > * 路径 2：[实现一个 Mini 版本的分布式 Key-value 数据库](https://learn.pingcap.com/learner/talent-plan/implement-a-mini-distributed-key-value-database) > * 路径 3：[参与工业级开源分布式关系型数据库 TiDB 的开发实践](https://learn.pingcap.com/learner/talent-plan/become-a-tidb-contributor) > * 路径 4：[参与工业级开源分布式 Key-value 数据库 TiKV 的开发实践](https://learn.pingcap.com/learner/talent-plan/become-a-tikv-contributor) > * 路径 5：[Rust 编程原理与实践](>https://learn.pingcap.com/learner/talent-plan/rust-programming) > > 小伙伴们也可直接通过 [Talent Plan 官网](https://learn.pingcap.com/learner/talent-plan) 开始 Talent Plan 2.0 课程的学习。 ================================================ FILE: tidb/.gitignore ================================================ .idea/ ================================================ FILE: tidb/README.md ================================================ # Distributed Systems in Go * Week 1: [Merge Sort](./mergesort) * Week 2: [Map Reduce](./mapreduce) * Week 4: [Parallel Join](./join) ================================================ FILE: tidb/join/Makefile ================================================ .PHONY: all all: test bench test: go test bench: go test -bench Benchmark -run xx -count 5 -benchmem ================================================ FILE: tidb/join/README.md ================================================ ## Introduction This is the homework for PingCAP Talent Plan Online of week 4. This homework is a simplified version of [ACM SIGMOD Programming Contest 2018](http://sigmod18contest.db.in.tum.de/index.shtml). The task is to evaluate batches of join queries on a set of pre-defined relations. Each join query specifies two relations, multiple (equality) join predicates, and one (sum) aggregation. The challenge is to fully utilize the CPU and memory resources and execute the queries as fast as possible. NOTE: **go 1.12 is required** ## Details The simple interface `Join(f0, f1 string, offset0, offset1 []int) (sum uint64)` is defined in `join.go`. Our test harness will feed two relations and two columns' offsets array to the interface every time, and check the correctness of the output result. Explaination to the four input arguments and one output argument of the interface are list as follows: - **f0**: File name of the given relation0. - **f1**: File name of the given relation1. - **offset0**: Offsets of which columns the given relation0 should be joined. - **offset1**: Offsets of which columns the given relation1 should be joined. - **sum** (output argument): Sum of the relation0.col0 in the final join result. The (equality) join predicates are specified by the `offset0/1`. The form of the join predicates is like: ``` go relation0.cols[offset[0]] = relation1.cols[offset[0]] and relation0.cols[offset[1]] = relation1.cols[offset[1]]... ``` **Example**: `Join("/path/T0", "/path/T1", []int{0, 1}, []int{2, 3})` Translated to SQL: ``` sql SELECT SUM(T0.COL0) FROM T0, T1 ON T0.COL0=T1.COL2 AND T0.COL1=T1.COL3 ``` We provide a sample as `join_example.go: JoinExample` which performs a simple hash join algorithm. It uses the relation0 to build the hash table, and probe the hash table for every row in relation1. ## Requirements and rating principles - (30%) Pass all test cases. - (20%) Perform better than `join_example.go:JoinExample`. - (35%) Have a document to describe your idea and record the process of performance optimization with `pprof`. - (15%) Keep a good code style. Note: 1. For your check sums, you do not have to worry about numeric overflows as long as you are using 64 bit unsigned integers. 2. More large datasets are provided [here](https://drive.google.com/drive/u/1/folders/10-iJNGKmKXgMmvBYnKt88RTwC0iA1XM-), you can use them to help profile your program. 3. We'll use the `BenchmarkJoin` and `BenchmarkJoinExample` which can be found in `benchmark_test.go` to evaluate your program. Test data will **NOT** be outside of what we've provided. ## How to use 1. Please implement your own `Join` in join.go to accomplish this task. 2. We provide CSV versions (.tbl files) of three relations in directory `t`. You can load them into a DBMS to test your program. 1. **r0.tbl**: 2 columns * 10,000 records 2. **r1.tbl**: 4 columns * 5,000 records 3. **r2.tbl**: 4 columns * 500 records 3. There is already a built-in unit test `JoinTest` defined in `join_test.go`. You can write your own unit tests, but please make sure `JoinTest` can be passed before. 4. Use `make test` to run all the unit tests. 5. Use `make bench` to run all the benchmarks. ================================================ FILE: tidb/join/benchmark_test.go ================================================ package main import "testing" func BenchmarkJoin(b *testing.B) { for i := 0; i < b.N; i++ { Join("./t/r0.tbl", "./t/r2.tbl", []int{0}, []int{1}) } } func BenchmarkJoinExample(b *testing.B) { for i := 0; i < b.N; i++ { JoinExample("./t/r0.tbl", "./t/r2.tbl", []int{0}, []int{1}) } } ================================================ FILE: tidb/join/go.mod ================================================ module join go 1.12 require ( github.com/pingcap/check v0.0.0-20171206051426-1c287c953996 github.com/pingcap/tidb v2.1.7+incompatible ) ================================================ FILE: tidb/join/go.sum ================================================ github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU= github.com/apache/thrift v0.0.0-20161221203622-b2a4d4ae21c7/go.mod 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v0.0.0-20190226063853-f6c0b7ffff11/go.mod h1:0gwbe1F2iBIjuQ9AH0DbQhL+Dpr5GofU8fgYyXk+ykk= github.com/pingcap/parser v0.0.0-20190328044348-9945885931bb/go.mod h1:1FNvfp9+J0wvc4kl8eGNh7Rqrxveg15jJoWo/a0uHwA= github.com/pingcap/pd v2.1.0-rc.4+incompatible/go.mod h1:nD3+EoYes4+aNNODO99ES59V83MZSI+dFbhyr667a0E= github.com/pingcap/tidb v2.1.7+incompatible h1:ZkaxiVAKb6dqAZdA3CkzmYPBEugQ0e/w7hXEhYiwEfE= github.com/pingcap/tidb v2.1.7+incompatible/go.mod h1:gTnPm64oI1Z1y/LEB3NUcxEgFy8NRswlmgTRiBCrijw= github.com/pingcap/tidb-tools v2.1.3-0.20190116051332-34c808eef588+incompatible/go.mod h1:XGdcy9+yqlDSEMTpOXnwf3hiTeqrV6MN/u1se9N8yIM= github.com/pingcap/tipb v0.0.0-20180910045846-371b48b15d93/go.mod h1:RtkHW8WbcNxj8lsbzjaILci01CtYnYbIkQhjyZWrWVI= github.com/pkg/errors v0.8.0/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0= github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4= github.com/prometheus/client_golang v0.8.0/go.mod h1:7SWBe2y4D6OKWSNQJUaRYU/AaXPKyh/dDVn+NZz0KFw= github.com/prometheus/client_model v0.0.0-20171117100541-99fa1f4be8e5/go.mod h1:MbSGuTsp3dbXC40dX6PRTWyKYBIrTGTE9sqQNg2J8bo= github.com/prometheus/common v0.0.0-20180426121432-d811d2e9bf89/go.mod h1:daVV7qP5qjZbuso7PdcryaAu0sAZbrN9i7WWcTMWvro= github.com/prometheus/procfs v0.0.0-20180408092902-8b1c2da0d56d/go.mod h1:c3At6R/oaqEKCNdg8wHV1ftS6bRYblBhIjjI8uT2IGk= github.com/sirupsen/logrus v0.0.0-20170323161349-3bcb09397d6d/go.mod h1:pMByvHTf9Beacp5x1UXfOR9xyW/9antXMhjMPG0dEzc= github.com/spaolacci/murmur3 v0.0.0-20150829172844-0d12bf811670/go.mod h1:JwIasOWyU6f++ZhiEuf87xNszmSA2myDM2Kzu9HwQUA= github.com/stretchr/testify v1.2.2/go.mod h1:a8OnRcib4nhh0OaRAV+Yts87kKdq0PP7pXfy6kDkUVs= github.com/twinj/uuid v0.0.0-20150629100731-70cac2bcd273/go.mod h1:mMgcE1RHFUFqe5AfiwlINXisXfDGro23fWdPUfOMjRY= github.com/uber/jaeger-client-go v2.8.0+incompatible/go.mod h1:WVhlPFC8FDjOFMMWRy2pZqQJSXxYSwNYOkTr/Z6d3Kk= github.com/uber/jaeger-lib v1.1.0/go.mod h1:ComeNDZlWwrWnDv8aPp0Ba6+uUTzImX/AauajbLI56U= github.com/ugorji/go v1.1.1/go.mod h1:hnLbHMwcvSihnDhEfx2/BzKp2xb0Y+ErdfYcrs9tkJQ= github.com/unrolled/render v0.0.0-20171102162132-65450fb6b2d3/go.mod h1:tu82oB5W2ykJRVioYsB+IQKcft7ryBr7w12qMBUPyXg= github.com/xiang90/probing v0.0.0-20160813154853-07dd2e8dfe18/go.mod h1:UETIi67q53MR2AWcXfiuqkDkRtnGDLqkBTpCHuJHxtU= golang.org/x/crypto v0.0.0-20180503215945-1f94bef427e3/go.mod h1:6SG95UA2DQfeDnfUPMdvaQW0Q7yPrPDi9nlGo2tz2b4= golang.org/x/net v0.0.0-20180906233101-161cd47e91fd/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4= golang.org/x/sync v0.0.0-20180314180146-1d60e4601c6f/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= golang.org/x/sys v0.0.0-20180909124046-d0be0721c37e/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY= golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ= golang.org/x/time v0.0.0-20180412165947-fbb02b2291d2/go.mod h1:tRJNPiyCQ0inRvYxbN9jk5I+vvW/OXSQhTDSoE431IQ= golang.org/x/tools v0.0.0-20181105230042-78dc5bac0cac/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ= google.golang.org/genproto v0.0.0-20180427144745-86e600f69ee4/go.mod h1:JiN7NxoALGmiZfu7CAH4rXhgtRTLTxftemlI0sWmxmc= google.golang.org/grpc v1.12.0/go.mod h1:yo6s7OP7yaDglbqo1J04qKzAhqBH6lvTonzMVmEdcZw= gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0= gopkg.in/fsnotify.v1 v1.4.7/go.mod h1:Tz8NjZHkW78fSQdbUxIjBTcgA1z1m8ZHf0WmKUhAMys= gopkg.in/natefinch/lumberjack.v2 v2.0.0-20161104145732-dd45e6a67c53/go.mod h1:l0ndWWf7gzL7RNwBG7wST/UCcT4T24xpD6X8LsfU/+k= gopkg.in/tomb.v1 v1.0.0-20141024135613-dd632973f1e7/go.mod h1:dt/ZhP58zS4L8KSrWDmTeBkI65Dw0HsyUHuEVlX15mw= gopkg.in/yaml.v2 v2.2.1/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= ================================================ FILE: tidb/join/join.go ================================================ package main // Join accepts a join query of two relations, and returns the sum of // relation0.col0 in the final result. // Input arguments: // f0: file name of the given relation0 // f1: file name of the given relation1 // offset0: offsets of which columns the given relation0 should be joined // offset1: offsets of which columns the given relation1 should be joined // Output arguments: // sum: sum of relation0.col0 in the final result func Join(f0, f1 string, offset0, offset1 []int) (sum uint64) { return sum } ================================================ FILE: tidb/join/join_example.go ================================================ package main import ( "encoding/csv" "io" "os" "strconv" "unsafe" "github.com/pingcap/tidb/util/mvmap" ) // JoinExample performs a simple hash join algorithm. func JoinExample(f0, f1 string, offset0, offset1 []int) (sum uint64) { tbl0, tbl1 := readCSVFileIntoTbl(f0), readCSVFileIntoTbl(f1) hashtable := buildHashTable(tbl0, offset0) for _, row := range tbl1 { rowIDs := probe(hashtable, row, offset1) for _, id := range rowIDs { v, err := strconv.ParseUint(tbl0[id][0], 10, 64) if err != nil { panic("JoinExample panic\n" + err.Error()) } sum += v } } return sum } func readCSVFileIntoTbl(f string) (tbl [][]string) { csvFile, err := os.Open(f) if err != nil { panic("ReadFileIntoTbl " + f + " fail\n" + err.Error()) } defer csvFile.Close() csvReader := csv.NewReader(csvFile) for { row, err := csvReader.Read() if err == io.EOF { break } else if err != nil { panic("ReadFileIntoTbl " + f + " fail\n" + err.Error()) } tbl = append(tbl, row) } return tbl } func buildHashTable(data [][]string, offset []int) (hashtable *mvmap.MVMap) { var keyBuffer []byte valBuffer := make([]byte, 8) hashtable = mvmap.NewMVMap() for i, row := range data { for j, off := range offset { if j > 0 { keyBuffer = append(keyBuffer, '_') } keyBuffer = append(keyBuffer, []byte(row[off])...) } *(*int64)(unsafe.Pointer(&valBuffer[0])) = int64(i) hashtable.Put(keyBuffer, valBuffer) keyBuffer = keyBuffer[:0] } return } func probe(hashtable *mvmap.MVMap, row []string, offset []int) (rowIDs []int64) { var keyHash []byte var vals [][]byte for i, off := range offset { if i > 0 { keyHash = append(keyHash, '_') } keyHash = append(keyHash, []byte(row[off])...) } vals = hashtable.Get(keyHash, vals) for _, val := range vals { rowIDs = append(rowIDs, *(*int64)(unsafe.Pointer(&val[0]))) } return rowIDs } ================================================ FILE: tidb/join/join_test.go ================================================ package main import ( "testing" "github.com/pingcap/check" ) type joinTestSuite struct{} func TestT(t *testing.T) { check.TestingT(t) } var _ = check.Suite(&joinTestSuite{}) func (s *joinTestSuite) TestJoin(c *check.C) { for _, t := range []struct { f0 string f1 string offsets0 []int offsets1 []int sum uint64 }{ // r0 join r0 on r0.col0 = r0.col1 {"./t/r0.tbl", "./t/r0.tbl", []int{0}, []int{1}, 0x16CBF2D}, // r0 join r1 on r0.col0 = r1.col0 {"./t/r0.tbl", "./t/r1.tbl", []int{0}, []int{0}, 0xC1D73B}, // r0 join r1 on r0.col1 = r1.col1 {"./t/r0.tbl", "./t/r1.tbl", []int{1}, []int{1}, 0x33010}, // r0 join r2 on r0.col0 = r2.col0 {"./t/r0.tbl", "./t/r2.tbl", []int{0}, []int{0}, 0x1F235}, // r0 join r1 on r0.col0 = r1.col0 and r0.col1 = r1.col1 {"./t/r0.tbl", "./t/r1.tbl", []int{0, 1}, []int{0, 1}, 0}, // r1 join r2 on r1.col0 = r2.col0 {"./t/r1.tbl", "./t/r2.tbl", []int{0}, []int{0}, 0x18CDA}, // r2 join r2 on r2.col0 = r2.col0 and r2.col1 = r2.col1 {"./t/r2.tbl", "./t/r2.tbl", []int{0, 1}, []int{0, 1}, 0x5B385}, } { c.Assert(Join(t.f0, t.f1, t.offsets0, t.offsets1), check.Equals, t.sum) //c.Assert(JoinExample(t.f0, t.f1, t.offsets0, t.offsets1), check.Equals, t.sum) } } ================================================ FILE: tidb/join/t/r0.tbl ================================================ 1,7277 3,7506 7,10488 11,4923 15,7803 19,9251 23,9239 28,9961 31,8944 33,5726 38,4517 39,10350 41,9926 42,9587 45,8220 48,10129 53,8545 57,8798 61,9511 65,6292 70,8270 74,5872 76,10476 80,5238 84,4526 88,10457 90,4690 92,8501 93,6074 95,4963 99,4912 103,7256 105,8893 110,5515 112,7236 115,4410 116,5315 118,9120 120,5690 122,5233 124,8281 129,7944 133,5938 136,7374 141,6798 143,10119 148,8310 152,8499 153,9619 155,5308 158,5652 161,4710 165,9509 166,9760 167,6465 170,7678 173,6813 175,6440 176,8871 180,4844 184,9571 186,10474 190,4853 193,5550 196,8969 201,9483 205,7933 206,7523 208,5712 210,6323 214,7833 215,6972 218,8080 219,7886 221,7354 223,5753 228,8325 229,5311 231,6620 233,4740 236,5223 241,8910 244,6436 249,10466 253,6984 256,4538 259,4826 263,10068 266,5143 267,7806 272,5397 274,4753 277,7158 282,7853 285,9511 288,5627 290,8405 293,7451 296,7757 297,9185 301,6271 303,10280 306,8365 310,5060 312,4963 313,7233 315,6833 318,9620 323,5943 326,10264 328,7806 333,8872 336,7349 338,5164 340,5683 343,9871 348,8282 353,10359 356,5812 361,10326 364,9617 365,9742 367,7932 368,8939 370,9908 374,5557 378,9549 380,4901 383,10448 386,6573 389,6316 394,5673 395,6375 399,10418 404,5357 409,4768 412,6016 416,7066 420,8490 424,6898 425,7918 428,8476 430,7351 431,10057 436,8888 438,6230 439,4694 444,6040 448,5281 451,5417 454,10234 455,9680 459,9131 461,9765 464,6222 468,5758 469,4598 470,8842 472,8646 477,6319 479,4484 482,9191 487,9568 492,5001 493,10163 495,9019 497,7644 498,9985 499,7325 502,8265 507,9745 512,7781 513,7515 514,8298 517,8594 521,8455 522,7597 526,4816 529,9929 532,7925 536,6556 540,9694 542,6231 544,5519 548,8895 551,10203 552,10381 554,8292 558,10222 563,7926 567,4950 571,9908 573,4467 578,9728 583,4653 587,7474 591,7705 595,10210 598,7467 603,6825 605,6859 607,9596 612,10260 615,5839 618,7957 619,8949 621,7603 622,5941 624,7996 629,10282 631,9241 632,5027 635,7014 639,4503 642,10056 647,5240 648,5224 649,9975 651,9652 652,9717 657,9212 662,4839 666,9756 669,7389 673,4787 678,10024 682,7094 684,6293 685,7735 689,9923 692,6520 693,8221 694,9630 698,8973 702,9258 706,5488 711,10029 713,7911 717,8989 722,9743 723,9530 725,6079 730,7916 731,8770 733,9031 734,6312 736,9181 740,5953 744,4805 749,6207 754,5192 755,6609 756,5856 757,8472 758,7030 762,10444 766,10191 769,5257 770,4973 775,7927 778,4393 780,6397 783,9088 787,6836 789,9095 794,9427 799,6934 802,8264 803,9396 805,8423 809,4725 810,7180 813,8586 814,8526 818,4720 823,8517 825,6612 828,6567 833,7116 838,5350 843,4713 848,6627 852,7244 857,9775 861,7846 864,9033 867,10258 872,5618 875,5941 878,6907 880,10349 884,8569 886,5592 890,7291 891,7573 893,9637 898,6788 901,5582 902,4609 906,5535 908,4986 910,7361 913,7996 917,5364 921,10314 923,7891 927,5000 928,6069 933,7643 937,10187 942,9896 944,6979 946,9095 948,4756 951,8020 955,7881 956,8376 960,6799 963,10091 966,6513 967,7693 970,7224 972,9087 975,4989 976,8167 979,8595 983,7167 985,9632 989,7301 994,5828 995,8775 997,7664 1000,10380 1005,9992 1006,5734 1009,6388 1011,7844 1012,9894 1014,6070 1017,7131 1022,7940 1024,9600 1029,9654 1032,8685 1035,9966 1039,5315 1042,7555 1043,8965 1046,4984 1051,7888 1053,7528 1056,6184 1061,7043 1065,8633 1067,5221 1071,4758 1076,7848 1079,4531 1081,7294 1083,7791 1084,7447 1088,10226 1090,9111 1091,10254 1095,8064 1098,7454 1099,7731 1103,10136 1107,5929 1108,9066 1113,7688 1118,7072 1120,10095 1123,7521 1126,9518 1131,6713 1133,9033 1137,5858 1139,5210 1142,6673 1147,8269 1149,6816 1151,4594 1155,6072 1159,7276 1163,9836 1166,6083 1167,6102 1169,5179 1174,4912 1177,7237 1182,5796 1183,9549 1186,9077 1189,10189 1190,10090 1194,7008 1199,10285 1201,8315 1206,5772 1211,5299 1216,5593 1217,4549 1221,9490 1225,9836 1227,8259 1228,5508 1233,8065 1237,5976 1238,6911 1239,9369 1242,9546 1243,6502 1248,5414 1253,5052 1254,4925 1255,9901 1259,5967 1260,7665 1261,9451 1262,5869 1264,9502 1269,6775 1273,9415 1276,5202 1277,8525 1282,8991 1287,9049 1290,8737 1294,8589 1296,8776 1300,7637 1302,7917 1304,5595 1305,9026 1307,6624 1310,7162 1315,7082 1320,6476 1324,5320 1325,10396 1326,8920 1331,8421 1334,9876 1337,4671 1341,9491 1342,5430 1346,5273 1350,5969 1354,10123 1358,5315 1359,9410 1363,9007 1368,8232 1373,6748 1375,6131 1379,8366 1381,7979 1384,7914 1389,8519 1391,8386 1395,5328 1400,4808 1405,5811 1407,4769 1408,5117 1411,5924 1415,8696 1420,9794 1422,4390 1423,8938 1428,9372 1431,5987 1435,6058 1436,7005 1441,9688 1445,5342 1448,7999 1452,7803 1455,5204 1459,6974 1462,7756 1463,5756 1464,9201 1466,6582 1471,6088 1476,9061 1477,8382 1479,8464 1482,9401 1483,4734 1487,8199 1489,5777 1491,7771 1494,7987 1497,7878 1499,7558 1501,7273 1503,5268 1505,8377 1506,7176 1507,7244 1508,8975 1510,7066 1511,4814 1514,5137 1516,9023 1520,8105 1522,10168 1526,6293 1531,8826 1533,7160 1538,10210 1539,4838 1541,8211 1544,6956 1548,8600 1551,4985 1553,5370 1555,7960 1558,7357 1560,6390 1561,5608 1565,7990 1566,7088 1567,5818 1568,6763 1571,9086 1575,6478 1577,10396 1578,4559 1579,10427 1581,7208 1584,4420 1585,7553 1588,5568 1589,5176 1590,9892 1592,6517 1593,6323 1597,10412 1600,5759 1602,7607 1605,8697 1610,9190 1615,8451 1617,6745 1620,5400 1622,10354 1623,9562 1625,7909 1629,9818 1632,8847 1635,6554 1640,9111 1642,10036 1646,4644 1647,7199 1650,8663 1653,5812 1655,9240 1660,5563 1664,5509 1667,8453 1669,8779 1673,7276 1677,9604 1678,8885 1680,8977 1684,4773 1688,9261 1691,5918 1694,7061 1695,10201 1696,9475 1700,7620 1703,5220 1708,9415 1710,6116 1712,9805 1716,5090 1720,6335 1722,4672 1725,9134 1729,9299 1730,8985 1733,10309 1736,6914 1737,7457 1742,10142 1745,7070 1748,7798 1750,7171 1751,4958 1752,6464 1756,8564 1761,7361 1765,8864 1766,9040 1768,6444 1773,6184 1776,7370 1780,4644 1784,4558 1789,8466 1793,5947 1794,5223 1795,8223 1799,9621 1802,9829 1804,4436 1809,5881 1814,8039 1817,5470 1818,8455 1821,9113 1826,4844 1827,7084 1831,10439 1835,4917 1838,5530 1843,5887 1844,4882 1847,9021 1851,9495 1854,8497 1859,8219 1863,6205 1865,6381 1866,9639 1871,10148 1875,8104 1877,5031 1879,8634 1882,5753 1884,6757 1889,9628 1891,8705 1893,9107 1898,8055 1901,5012 1906,6555 1909,4547 1912,10433 1915,6114 1917,9116 1922,6679 1926,9272 1931,5574 1933,6436 1935,10086 1939,4512 1940,10174 1941,10011 1943,9015 1945,4522 1948,4808 1953,4857 1954,6494 1957,6542 1960,6260 1964,9410 1965,9809 1968,9731 1971,5295 1974,7021 1977,8020 1981,5342 1982,9142 1983,7845 1985,5820 1988,10226 1992,10235 1995,8650 1998,4932 2000,6921 2003,9981 2005,6204 2006,6566 2010,4599 2011,6101 2012,4778 2017,10347 2018,8974 2019,6006 2023,6796 2027,4564 2029,9375 2032,8903 2037,9163 2042,8090 2047,9057 2052,5187 2057,6460 2061,9057 2064,9834 2065,7239 2068,9650 2072,4530 2076,9893 2077,7923 2079,10169 2080,8047 2083,5550 2088,6482 2093,10036 2096,6729 2098,9983 2100,4414 2101,8383 2106,7421 2108,4510 2110,9079 2113,6462 2116,8269 2120,6462 2121,9043 2123,5382 2128,8659 2133,5105 2134,5342 2139,7658 2144,5907 2145,6401 2149,8059 2154,5382 2156,8232 2160,10446 2165,9031 2167,9803 2168,5073 2172,5585 2177,7539 2180,4467 2185,9914 2188,8545 2192,9416 2193,10095 2198,10211 2199,8149 2203,9106 2204,4713 2206,5857 2208,9447 2213,10467 2218,6396 2221,6879 2226,7401 2230,6352 2231,4986 2234,6779 2237,8781 2241,7901 2244,6120 2245,9275 2247,4883 2250,7709 2252,5097 2255,4660 2259,8412 2263,7740 2265,9544 2270,4955 2273,6706 2274,6272 2279,5204 2280,7956 2284,9563 2287,10455 2291,4530 2293,9210 2298,5001 2303,5843 2307,9610 2310,10259 2311,7089 2312,7902 2317,8559 2321,8753 2324,6153 2326,4514 2331,6268 2335,9864 2340,7287 2345,5284 2346,8311 2348,5106 2352,5127 2356,5968 2357,6363 2361,7403 2364,7130 2368,4532 2373,6100 2378,6864 2382,10444 2384,5849 2389,8715 2392,5112 2393,6702 2397,5454 2400,6313 2402,10295 2406,6193 2407,8075 2410,7538 2413,10130 2416,9100 2417,8540 2420,6668 2422,6591 2426,5845 2428,5957 2429,9710 2434,5453 2435,7809 2436,9462 2441,7342 2443,9313 2445,8232 2450,4547 2454,5483 2458,9827 2459,10197 2462,4698 2465,8934 2469,7188 2471,9834 2476,7526 2481,7392 2485,5909 2488,9193 2491,9461 2495,7131 2497,5213 2499,6575 2501,5725 2503,8467 2505,5221 2508,4508 2510,10249 2513,7479 2516,6682 2519,8839 2522,4799 2525,8286 2530,5883 2535,7215 2537,10340 2540,4924 2541,5165 2546,5130 2549,8784 2552,9545 2556,9992 2558,9046 2559,7940 2560,9044 2563,9801 2567,9619 2570,4424 2571,7939 2576,6912 2580,9732 2581,10079 2583,8216 2587,4792 2590,10129 2594,9226 2599,4427 2601,6992 2603,5306 2606,10217 2610,9030 2615,7862 2617,6077 2620,8987 2625,9781 2627,7660 2629,8774 2634,9694 2636,8908 2638,10383 2642,5059 2646,9004 2649,5388 2652,10096 2655,6749 2660,7571 2665,7416 2669,9936 2674,9237 2675,8034 2677,5532 2682,5803 2685,10452 2687,9557 2691,4983 2696,7414 2701,6115 2706,4671 2710,5068 2714,7702 2718,9038 2720,4817 2722,8288 2726,8500 2730,7702 2731,5803 2733,9409 2734,4919 2738,8358 2739,10077 2740,8103 2743,8498 2746,8032 2750,7522 2753,7906 2758,6960 2762,5539 2763,9530 2764,6699 2769,8397 2774,5800 2779,4624 2782,4766 2784,8879 2788,7059 2791,5954 2794,6695 2799,4867 2803,7361 2806,5629 2810,5402 2814,9216 2816,8961 2820,5186 2822,8021 2826,9683 2829,4792 2833,4745 2836,7146 2837,10417 2840,6180 2841,7271 2844,10010 2846,6680 2849,4690 2851,8377 2856,9952 2859,7719 2860,10121 2863,5122 2864,6847 2866,8018 2871,8918 2873,7493 2876,7881 2879,5481 2880,6031 2882,10068 2886,6465 2888,5005 2892,7221 2896,5411 2900,7533 2902,10110 2903,7937 2908,5956 2913,6221 2915,6903 2917,5675 2921,9144 2924,7329 2925,10184 2929,8083 2930,6669 2931,5730 2932,7211 2936,5458 2941,10291 2945,4778 2948,6924 2952,6030 2957,9828 2958,9195 2961,4785 2965,7455 2970,8559 2971,9041 2976,4797 2981,9065 2986,8056 2989,10091 2994,8614 2995,7790 2999,8030 3003,8901 3007,5952 3009,8640 3012,5392 3017,5399 3021,9609 3026,5241 3030,10067 3031,8665 3032,8287 3034,5673 3035,7409 3036,5068 3041,9234 3042,8345 3047,4920 3050,5850 3051,4691 3054,9898 3057,8258 3061,7001 3063,6133 3068,4439 3073,6056 3078,6340 3079,9473 3083,10204 3084,5438 3086,8317 3091,4513 3093,4763 3095,10358 3098,6572 3100,10046 3102,4511 3106,10063 3111,10234 3112,10011 3115,4392 3119,4868 3120,9725 3122,7551 3126,4668 3129,9770 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3394,8544 3398,8513 3399,7072 3400,10388 3403,8517 3406,5448 3411,6538 3413,8234 3417,6230 3420,9564 3422,4515 3423,7765 3427,8116 3431,7524 3433,6682 3438,8073 3442,10298 3446,4830 3447,9319 3452,9176 3457,5310 3461,6927 3462,4541 3463,9205 3466,7980 3471,5621 3472,7001 3474,5526 3479,6732 3483,8555 3486,9932 3490,8402 3491,8188 3493,6333 3494,8194 3496,10013 3501,9414 3503,9526 3508,5698 3510,7190 3513,5413 3518,4794 3520,9949 3523,6862 3528,4562 3533,8460 3537,4782 3540,5437 3545,8348 3550,9595 3552,7318 3553,4944 3554,5472 3556,6471 3560,8116 3564,10266 3567,6965 3572,5637 3574,8511 3579,7285 3583,10400 3584,7300 3586,9395 3591,10136 3592,9740 3593,4667 3596,7070 3601,7967 3606,7356 3607,8882 3608,10464 3612,6870 3615,6067 3618,8245 3621,7987 3626,7584 3629,8432 3631,7717 3633,8536 3636,7634 3637,6619 3638,10003 3641,7131 3642,9322 3645,10369 3646,9338 3647,6315 3652,7162 3653,7405 3654,7716 3657,6680 3659,7226 3664,6949 3665,5574 3667,10272 3669,7743 3673,8770 3677,5176 3682,4547 3685,6187 3689,10099 3693,10431 3698,10313 3702,10069 3704,9976 3706,10388 3711,6829 3714,6649 3715,7500 3717,6708 3722,8405 3725,9477 3729,8372 3733,8974 3738,9863 3742,10162 3747,8353 3750,5939 3752,8982 3756,5094 3761,9144 3765,7913 3770,5542 3771,9141 3776,9981 3781,6550 3784,8652 3786,8227 3791,8227 3796,10176 3798,6911 3801,10237 3806,7023 3811,9056 3816,9672 3817,5388 3820,7040 3825,8320 3827,9950 3829,7928 3830,6810 3834,6060 3837,8313 3840,10278 3845,9908 3846,4481 3848,6300 3851,10201 3855,5480 3858,6607 3862,6899 3863,6470 3867,9740 3871,8913 3874,5703 3875,8385 3880,5470 3883,9191 3888,4765 3893,8901 3896,9973 3901,5751 3905,5035 3910,7016 3912,5108 3915,9541 3917,5508 3922,9774 3925,4935 3926,9395 3929,5975 3933,9229 3937,6603 3941,7007 3946,4440 3951,8097 3954,7172 3958,5265 3963,8382 3965,8033 3967,10408 3969,7052 3973,5249 3976,5674 3981,6382 3982,8399 3986,7585 3991,6840 3994,8602 3995,8039 3996,6479 3997,6103 4001,7826 4004,6720 4008,8368 4011,9538 4016,5486 4018,5219 4022,6752 4027,6969 4030,8878 4033,7432 4038,6096 4042,5779 4044,5599 4049,7531 4053,5176 4055,7267 4056,9134 4058,8536 4061,4833 4063,4502 4064,7291 4067,9075 4068,8811 4072,4599 4075,10035 4080,8219 4083,5793 4085,6406 4086,10196 4088,5364 4089,10268 4092,4972 4097,7993 4100,5814 4101,8802 4106,6264 4110,6327 4111,6857 4114,8453 4119,7651 4122,9340 4125,5367 4130,5543 4134,5449 4136,8098 4138,8736 4141,8283 4143,8411 4148,8118 4150,8632 4153,8369 4156,5994 4161,5536 4163,8976 4168,5019 4169,4600 4173,4578 4178,9815 4182,9663 4183,5883 4184,6289 4187,8743 4190,4429 4192,7557 4195,8279 4196,9677 4199,9888 4202,6771 4207,5650 4212,6101 4213,9799 4217,5229 4220,7845 4221,9081 4224,4512 4229,9824 4230,9069 4233,9009 4234,6706 4239,5374 4244,4420 4245,9306 4249,8406 4253,10199 4256,4666 4260,8701 4262,7683 4266,7241 4269,7593 4271,9008 4276,9319 4278,6184 4280,5147 4283,8593 4285,10078 4290,8967 4291,5576 4293,8485 4294,6157 4297,6176 4300,10443 4304,7688 4306,8932 4308,6195 4310,5073 4313,8876 4315,10432 4318,10440 4322,8610 4327,9371 4329,6866 4331,9791 4333,8134 4335,6792 4338,5740 4343,6553 4345,4974 4349,9806 4354,7950 4355,10141 4356,10371 4360,6072 4362,9340 4366,4482 4368,7376 4370,7514 4371,7644 4376,4880 4379,10174 4383,10436 4387,5168 4392,10213 4396,8283 4398,7985 4403,10232 4405,5559 4409,6585 4413,7492 4417,9145 4421,10121 4423,9853 4425,4910 4429,9572 4431,8821 4435,7198 4437,7813 4440,6955 4441,7539 4443,6109 4448,9351 4453,9672 4456,7426 4459,8259 4463,9168 4465,8045 4470,10436 4475,5430 4477,4483 4479,4578 4484,4377 4488,7880 4493,8014 4498,8151 4501,8959 4506,5207 4508,8626 4512,6509 4513,4511 4517,10243 4521,4567 4524,9734 4527,5945 4531,7910 4532,9988 4537,8880 4542,6279 4546,7045 4548,7779 4550,4545 4551,5631 4552,8550 4553,4695 4555,6755 4557,7197 4561,8712 4564,6411 4565,5211 4570,5200 4571,10387 4572,8718 4577,6220 4581,4966 4583,8214 4588,5981 4590,7991 4594,7312 4597,5954 4600,5765 4602,9739 4605,5004 4609,5314 4610,4462 4611,9379 4614,6144 4616,10342 4620,8107 4624,7573 4626,6883 4630,6063 4632,8885 4634,5967 4635,8173 4639,6290 4640,6126 4644,5678 4647,5835 4652,9694 4654,7747 4655,7035 4658,6841 4663,9602 4667,6097 4670,9762 4674,4973 4678,6296 4679,4603 4683,10165 4686,10346 4690,9068 4693,10279 4694,7804 4699,5539 4701,6923 4702,8195 4705,9483 4708,7264 4711,8051 4714,5341 4717,5958 4721,7315 4725,9808 4727,5299 4730,8971 4731,6578 4736,6966 4741,5012 4742,6199 4747,5795 4752,5686 4753,10249 4755,7305 4759,5960 4762,8946 4767,5931 4771,9875 4772,5836 4777,9676 4779,10358 4780,8394 4785,9982 4790,7114 4791,6042 4792,5384 4793,9319 4795,8558 4800,6448 4803,4668 4806,8136 4808,5293 4810,10165 4815,6485 4817,7408 4822,8051 4825,8808 4828,6492 4830,7719 4835,8768 4839,6418 4843,8329 4844,8733 4845,7572 4850,6838 4855,7167 4857,9032 4861,10060 4865,7233 4866,5217 4871,4862 4875,4497 4879,7356 4882,4460 4884,6376 4886,4721 4890,10023 4893,4855 4895,7531 4899,9728 4903,7856 4907,9747 4910,9872 4915,9208 4919,7098 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30141,8918 30143,8774 30147,8964 30151,5529 30154,7216 30157,6470 30158,9489 30161,9564 30162,4670 30167,7951 30170,4847 30174,10146 30175,4853 30176,7808 30180,9926 30181,4800 30186,6660 30189,4881 30190,10287 30194,9331 30198,8484 30201,4385 30203,7680 30206,5654 30211,6713 30215,4389 30216,5408 30220,9176 30221,9343 30226,4879 30230,8507 ================================================ FILE: tidb/join/t/r1.tbl ================================================ 1,4363123,46773,6709 2,1431076,902781,8246 4,2792150,84359,8209 8,4966517,375246,7436 9,10590291,822710,6358 14,5452431,156645,6256 18,1472948,617365,7746 22,5744270,262657,6826 24,7539335,147699,7384 25,126086,408508,7021 27,146482,719153,6395 30,2000764,373418,8822 34,7481826,890926,9733 35,8460579,712881,7020 37,5351465,246250,7677 38,358942,756258,6785 39,9873954,61813,10321 41,8347988,595273,10684 43,3202180,711137,7256 45,8265445,755763,9049 49,3109466,588588,5664 52,2491113,418820,5740 57,440430,640732,7680 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1902,4190642,490689,6815 1905,2571926,334093,8422 1909,5988490,420578,5798 1914,8120848,857163,8678 1919,5293700,301713,7631 1921,8035898,205715,7352 1922,4397314,504456,7215 1926,10303337,716796,6353 1927,946156,125729,7571 1931,7103912,666674,7350 1936,10435946,36354,8572 1937,1285277,579441,9723 1940,3853045,709666,7208 1941,4388814,848215,8335 1946,515434,869190,7245 1951,2706286,505448,10095 1956,5587454,547577,6539 1961,446830,490217,7546 1966,8828498,130224,5668 1968,804914,68566,9555 1970,8976176,353532,7545 1975,1397997,807513,8188 1976,5961607,933910,10626 1979,1275439,87892,8199 1984,261079,95940,10405 1986,4916654,24522,9542 1991,4712363,629022,7031 1996,8638475,401903,7440 1997,1834071,219671,8357 2002,10152267,764953,6252 2005,6378883,355246,10309 2010,1105805,834700,7791 2012,3596450,111245,7506 2015,7898792,156111,10230 2016,6267804,173661,10253 2017,9661525,408321,5967 2019,5035534,594016,7047 2022,1116818,925940,10013 2023,3591440,814775,9677 2026,4426608,914158,6043 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1074,197365,8958893 1078,86372,9011743 1081,750267,6892520 1083,432120,3436597 1086,529219,4014817 1090,936116,3517759 1093,159283,4461330 1098,382984,1211753 1099,635524,6736244 1101,714795,1189953 1105,609150,2026203 1109,508123,9411841 1113,48688,10185145 1115,909035,288595 1116,392034,654065 1118,136562,3094440 1123,491777,5878300 1126,569598,3199157 1129,497494,3012517 1130,673612,1016194 1135,826985,2898655 1136,388551,5324130 1140,749018,1276600 1143,556140,2954921 1147,722899,9993761 1150,500855,4007634 1154,28755,8454908 1157,414915,10262559 1161,589316,4617709 1164,929124,7075970 1168,560865,2733633 1169,576537,5382995 1173,160356,9547985 1177,770730,1951088 1180,475443,8552057 1184,100868,6706848 1185,725174,3909041 1188,140364,5810909 1191,892335,4134639 1192,869157,1989859 1197,204758,7914012 1198,774652,6773136 1201,668377,4117783 1206,158266,3830281 1207,16208,5282081 1210,274262,8322412 1212,706429,5336839 1215,479826,3113124 1216,53755,2346803 1219,198977,9063813 1223,785910,4755052 1224,435852,1689321 1229,288679,5739707 1233,198140,9036477 1234,810756,8266515 1235,605118,4318152 1239,169241,4462878 1241,238840,7330487 1246,677804,8610776 1251,432088,8862136 1254,526428,3597637 1259,293820,1578837 1260,607015,4300286 1261,1909,6447969 1264,187066,4465212 1265,497064,8246038 1267,119645,223615 1271,144997,7654941 1273,913459,10397536 1275,59366,9674237 1279,382605,8803318 1280,497264,8927532 1282,884300,3607476 1287,167874,8198649 1290,850512,1572190 1291,805604,1036747 1293,26225,4328129 1294,189675,5310965 1297,416526,2107939 1299,658771,2109584 1303,846549,3598225 1308,145783,8258480 1311,537114,9004184 1312,485614,1164227 1316,861944,4286776 1317,65116,10272647 1320,911839,6707093 1324,218781,7475581 1325,13630,4484077 1328,80752,2894489 1331,172427,6780179 1334,80009,6269399 1338,153700,10579750 1342,157640,3625141 1347,750016,1798569 1350,23351,1107907 1352,44448,9365574 1355,756740,8380519 1358,389117,1292578 1362,637946,8561349 1363,346442,10648382 1364,295454,5892841 1368,46773,10186179 1371,526279,854925 1372,536184,1511104 1374,649098,5402582 1378,227109,2154337 1380,564043,9536792 1383,377163,2966231 1386,882666,7344616 1389,274970,3978771 1390,39194,7310586 1392,608861,10328146 1397,908330,1881997 1399,375544,7957836 1401,391674,7616020 1403,531688,1182773 1405,850092,1553772 1410,815111,2372230 1414,785197,6062130 1415,598693,6931507 1419,393345,3485159 1421,380543,6984419 1422,772035,7840655 1427,135578,7739073 1431,863914,3633567 1436,780182,4240928 1440,491157,6189838 1443,522179,735664 1446,205407,4631963 1448,104594,8715259 1453,491743,2293589 1456,426399,10182612 1460,110830,5690103 1462,285655,3564552 1464,623060,1876549 1466,427725,1493123 1470,732574,3160540 1471,700385,7070059 ================================================ FILE: tidb/mapreduce/.gitignore ================================================ .idea/ ================================================ FILE: tidb/mapreduce/Makefile ================================================ .PHONY: all all: test_example test_homework cleanup gendata test_example: go test -v -run=TestExampleURLTop test_homework: go test -v -run=TestURLTop cleanup: go test -v -run=TestCleanData gendata: go test -v -run=TestGenData ================================================ FILE: tidb/mapreduce/README.md ================================================ ## Introduction This is the Map-Reduce homework for PingCAP Talent Plan Online of week 2. There is a uncompleted Map-Reduce framework, you should complete it and use it to extract the 10 most frequent URLs from data files. ## Getting familiar with the source The simple Map-Reduce framework is defined in `mapreduce.go`. It is uncompleted and you should fill your code below comments `YOUR CODE HERE`. The map and reduce function are defined as same as MIT 6.824 lab 1. ``` type ReduceF func(key string, values []string) string type MapF func(filename string, contents string) []KeyValue ``` There is an example in `urltop10_example.go` which is used to extract the 10 most frequent URLs. After completing the framework, you can run this example by `make test_example`. And then please implement your own `MapF` and `ReduceF` in `urltop10.go` to accomplish this task. After filling your code, please use `make test_homework` to test. All data files will be generated at runtime, and you can use `make cleanup` to clean all test data. Please output URLs by lexicographical order and ensure that your result has the same format as test data so that you can pass all tests. Each test cases has **different data distribution** and you should take it into account. ## Requirements and rating principles * (40%) Performs better than `urltop10_example`. * (20%) Pass all test cases. * (30%) Have a document to describe your idea and record the process of performance optimization (both the framework and your own code) with `pprof`. * (10%) Have a good code style. NOTE: **go 1.12 is required** ## How to use Fill your code below comments `YOUR CODE HERE` in `mapreduce.go` to complete this framework. Implement your own `MapF` and `ReduceF` in `urltop10.go` and use `make test_homework` to test it. There is a builtin unit test defined in `urltop10_test.go`, however, you still can write your own unit tests. How to run example: ``` make test_example ``` How to test your implementation: ``` make test_homework ``` How to clean up all test data: ``` make cleanup ``` How to generate test data again: ``` make gendata ``` ================================================ FILE: tidb/mapreduce/casegen.go ================================================ package main import ( "fmt" "math/rand" "path" "sort" ) type DataSize int const ( KB = 1 << 10 MB = 1 << 20 GB = 1 << 30 ) func (d DataSize) String() string { if d < KB { return fmt.Sprintf("%dbyte", d) } else if d < MB { return fmt.Sprintf("%dKB", d/KB) } else if d < GB { return fmt.Sprintf("%dMB", d/MB) } return fmt.Sprintf("%dGB", d/GB) } // Case represents a test case. type Case struct { MapFiles []string // input files for map function ResultFile string // expected result } // CaseGenF represents test case generate function type CaseGenF func(dataFileDir string, totalDataSize, nMapFiles int) Case // AllCaseGenFs returns all CaseGenFs used to test. func AllCaseGenFs() []CaseGenF { var gs []CaseGenF gs = append(gs, genUniformCases()...) gs = append(gs, genPercentCases()...) gs = append(gs, CaseSingleURLPerFile) return gs } func genUniformCases() []CaseGenF { cardinalities := []int{1, 7, 200, 10000, 1000000} gs := make([]CaseGenF, 0, len(cardinalities)) for i := range cardinalities { card := cardinalities[i] gs = append(gs, func(dataFileDir string, totalDataSize, nMapFiles int) Case { if FileOrDirExist(dataFileDir) { files := make([]string, 0, nMapFiles) for i := 0; i < nMapFiles; i++ { fpath := path.Join(dataFileDir, fmt.Sprintf("inputMapFile%d", i)) files = append(files, fpath) } rpath := path.Join(dataFileDir, "result") return Case{ MapFiles: files, ResultFile: rpath, } } urls, avgLen := randomNURL(card) eachRecords := (totalDataSize / nMapFiles) / avgLen files := make([]string, 0, nMapFiles) urlCount := make(map[string]int, len(urls)) for i := 0; i < nMapFiles; i++ { fpath := path.Join(dataFileDir, fmt.Sprintf("inputMapFile%d", i)) files = append(files, fpath) f, buf := CreateFileAndBuf(fpath) for i := 0; i < eachRecords; i++ { str := urls[rand.Int()%len(urls)] urlCount[str]++ WriteToBuf(buf, str, "\n") } SafeClose(f, buf) } rpath := path.Join(dataFileDir, "result") genResult(rpath, urlCount) return Case{ MapFiles: files, ResultFile: rpath, } }) } return gs } func genPercentCases() []CaseGenF { ps := []struct { l int p []float64 }{ {11, []float64{0.9, 0.09, 0.009, 0.0009, 0.00009, 0.000009}}, {10000, []float64{0.9, 0.09, 0.009, 0.0009, 0.00009, 0.000009}}, {100000, []float64{0.9, 0.09, 0.009, 0.0009, 0.00009, 0.000009}}, {10000, []float64{0.5, 0.4}}, {10000, []float64{0.3, 0.3, 0.3}}, } gs := make([]CaseGenF, 0, len(ps)) for i := range ps { p := ps[i] gs = append(gs, func(dataFileDir string, totalDataSize, nMapFiles int) Case { if FileOrDirExist(dataFileDir) { files := make([]string, 0, nMapFiles) for i := 0; i < nMapFiles; i++ { fpath := path.Join(dataFileDir, fmt.Sprintf("inputMapFile%d", i)) files = append(files, fpath) } rpath := path.Join(dataFileDir, "result") return Case{ MapFiles: files, ResultFile: rpath, } } // make up percents list percents := make([]float64, 0, p.l) percents = append(percents, p.p...) var sum float64 for _, p := range p.p { sum += p } if sum > 1 || len(p.p) > p.l { panic("invalid prefix") } x := (1 - sum) / float64(p.l-len(p.p)) for i := 0; i < p.l-len(p.p); i++ { percents = append(percents, x) } // generate data urls, avgLen := randomNURL(len(percents)) eachRecords := (totalDataSize / nMapFiles) / avgLen files := make([]string, 0, nMapFiles) urlCount := make(map[string]int, len(urls)) accumulate := make([]float64, len(percents)+1) accumulate[0] = 0 for i := range percents { accumulate[i+1] = accumulate[i] + percents[i] } for i := 0; i < nMapFiles; i++ { fpath := path.Join(dataFileDir, fmt.Sprintf("inputMapFile%d", i)) files = append(files, fpath) f, buf := CreateFileAndBuf(fpath) for i := 0; i < eachRecords; i++ { x := rand.Float64() idx := sort.SearchFloat64s(accumulate, x) if idx != 0 { idx-- } str := urls[idx] urlCount[str]++ WriteToBuf(buf, str, "\n") } SafeClose(f, buf) } rpath := path.Join(dataFileDir, "result") genResult(rpath, urlCount) return Case{ MapFiles: files, ResultFile: rpath, } }) } return gs } // CaseSingleURLPerFile . func CaseSingleURLPerFile(dataFileDir string, totalDataSize, nMapFiles int) Case { if FileOrDirExist(dataFileDir) { files := make([]string, 0, nMapFiles) for i := 0; i < nMapFiles; i++ { fpath := path.Join(dataFileDir, fmt.Sprintf("inputMapFile%d", i)) files = append(files, fpath) } rpath := path.Join(dataFileDir, "result") return Case{ MapFiles: files, ResultFile: rpath, } } urls, avgLen := randomNURL(nMapFiles) eachRecords := (totalDataSize / nMapFiles) / avgLen files := make([]string, 0, nMapFiles) urlCount := make(map[string]int, len(urls)) for i := 0; i < nMapFiles; i++ { fpath := path.Join(dataFileDir, fmt.Sprintf("inputMapFile%d", i)) files = append(files, fpath) f, buf := CreateFileAndBuf(fpath) for j := 0; j < eachRecords; j++ { str := urls[i] urlCount[str]++ WriteToBuf(buf, str, "\n") } SafeClose(f, buf) } rpath := path.Join(dataFileDir, "result") genResult(rpath, urlCount) return Case{ MapFiles: files, ResultFile: rpath, } } func genResult(rpath string, urlCount map[string]int) { us, cs := TopN(urlCount, 10) f, buf := CreateFileAndBuf(rpath) for i := range us { fmt.Fprintf(buf, "%s: %d\n", us[i], cs[i]) } SafeClose(f, buf) } func randomNURL(n int) ([]string, int) { length := 0 urls := make([]string, 0, n) for i := 0; i < n; i++ { url := wrapLikeURL(fmt.Sprintf("%d", i)) length += len(url) urls = append(urls, url) } return urls, length / len(urls) } var urlPrefixes = []string{ "github.com/pingcap/tidb/issues", "github.com/pingcap/tidb/pull", "github.com/pingcap/tidb", } func wrapLikeURL(suffix string) string { return path.Join(urlPrefixes[rand.Intn(len(urlPrefixes))], suffix) } ================================================ FILE: tidb/mapreduce/go.mod ================================================ module talent go 1.12 ================================================ FILE: tidb/mapreduce/go.sum ================================================ github.com/pingcap/talent-plan v0.0.0-20190408125936-2f97dda786d6 h1:Kr1alXUfrJVBcLQb9tbrZGpInKkBhGLZsuMKNfesH1I= ================================================ FILE: tidb/mapreduce/mapreduce.go ================================================ package main import ( "bufio" "encoding/json" "hash/fnv" "io/ioutil" "log" "os" "path" "runtime" "strconv" "sync" ) // KeyValue is a type used to hold the key/value pairs passed to the map and reduce functions. type KeyValue struct { Key string Value string } // ReduceF function from MIT 6.824 LAB1 type ReduceF func(key string, values []string) string // MapF function from MIT 6.824 LAB1 type MapF func(filename string, contents string) []KeyValue // jobPhase indicates whether a task is scheduled as a map or reduce task. type jobPhase string const ( mapPhase jobPhase = "mapPhase" reducePhase = "reducePhase" ) type task struct { dataDir string jobName string mapFile string // only for map, the input file phase jobPhase // are we in mapPhase or reducePhase? taskNumber int // this task's index in the current phase nMap int // number of map tasks nReduce int // number of reduce tasks mapF MapF // map function used in this job reduceF ReduceF // reduce function used in this job wg sync.WaitGroup } // MRCluster represents a map-reduce cluster. type MRCluster struct { nWorkers int wg sync.WaitGroup taskCh chan *task exit chan struct{} } var singleton = &MRCluster{ nWorkers: runtime.NumCPU(), taskCh: make(chan *task), exit: make(chan struct{}), } func init() { singleton.Start() } // GetMRCluster returns a reference to a MRCluster. func GetMRCluster() *MRCluster { return singleton } // NWorkers returns how many workers there are in this cluster. func (c *MRCluster) NWorkers() int { return c.nWorkers } // Start starts this cluster. func (c *MRCluster) Start() { for i := 0; i < c.nWorkers; i++ { c.wg.Add(1) go c.worker() } } func (c *MRCluster) worker() { defer c.wg.Done() for { select { case t := <-c.taskCh: if t.phase == mapPhase { content, err := ioutil.ReadFile(t.mapFile) if err != nil { panic(err) } fs := make([]*os.File, t.nReduce) bs := make([]*bufio.Writer, t.nReduce) for i := range fs { rpath := reduceName(t.dataDir, t.jobName, t.taskNumber, i) fs[i], bs[i] = CreateFileAndBuf(rpath) } results := t.mapF(t.mapFile, string(content)) for _, kv := range results { enc := json.NewEncoder(bs[ihash(kv.Key)%t.nReduce]) if err := enc.Encode(&kv); err != nil { log.Fatalln(err) } } for i := range fs { SafeClose(fs[i], bs[i]) } } else { // YOUR CODE HERE :) // hint: don't encode results returned by ReduceF, and just output // them into the destination file directly so that users can get // results formatted as what they want. panic("YOUR CODE HERE") } t.wg.Done() case <-c.exit: return } } } // Shutdown shutdowns this cluster. func (c *MRCluster) Shutdown() { close(c.exit) c.wg.Wait() } // Submit submits a job to this cluster. func (c *MRCluster) Submit(jobName, dataDir string, mapF MapF, reduceF ReduceF, mapFiles []string, nReduce int) <-chan []string { notify := make(chan []string) go c.run(jobName, dataDir, mapF, reduceF, mapFiles, nReduce, notify) return notify } func (c *MRCluster) run(jobName, dataDir string, mapF MapF, reduceF ReduceF, mapFiles []string, nReduce int, notify chan<- []string) { // map phase nMap := len(mapFiles) tasks := make([]*task, 0, nMap) for i := 0; i < nMap; i++ { t := &task{ dataDir: dataDir, jobName: jobName, mapFile: mapFiles[i], phase: mapPhase, taskNumber: i, nReduce: nReduce, nMap: nMap, mapF: mapF, } t.wg.Add(1) tasks = append(tasks, t) go func() { c.taskCh <- t }() } for _, t := range tasks { t.wg.Wait() } // reduce phase // YOUR CODE HERE :D panic("YOUR CODE HERE") } func ihash(s string) int { h := fnv.New32a() h.Write([]byte(s)) return int(h.Sum32() & 0x7fffffff) } func reduceName(dataDir, jobName string, mapTask int, reduceTask int) string { return path.Join(dataDir, "mrtmp."+jobName+"-"+strconv.Itoa(mapTask)+"-"+strconv.Itoa(reduceTask)) } func mergeName(dataDir, jobName string, reduceTask int) string { return path.Join(dataDir, "mrtmp."+jobName+"-res-"+strconv.Itoa(reduceTask)) } ================================================ FILE: tidb/mapreduce/urltop10.go ================================================ package main // URLTop10 . func URLTop10(nWorkers int) RoundsArgs { // YOUR CODE HERE :) // And don't forget to document your idea. panic("YOUR CODE HERE") return nil } ================================================ FILE: tidb/mapreduce/urltop10_example.go ================================================ package main import ( "bytes" "fmt" "strconv" "strings" ) // ExampleURLTop10 generates RoundsArgs for getting the 10 most frequent URLs. // There are two rounds in this approach. // The first round will do url count. // The second will sort results generated in the first round and // get the 10 most frequent URLs. func ExampleURLTop10(nWorkers int) RoundsArgs { var args RoundsArgs // round 1: do url count args = append(args, RoundArgs{ MapFunc: ExampleURLCountMap, ReduceFunc: ExampleURLCountReduce, NReduce: nWorkers, }) // round 2: sort and get the 10 most frequent URLs args = append(args, RoundArgs{ MapFunc: ExampleURLTop10Map, ReduceFunc: ExampleURLTop10Reduce, NReduce: 1, }) return args } // ExampleURLCountMap is the map function in the first round func ExampleURLCountMap(filename string, contents string) []KeyValue { lines := strings.Split(contents, "\n") kvs := make([]KeyValue, 0, len(lines)) for _, l := range lines { l = strings.TrimSpace(l) if len(l) == 0 { continue } kvs = append(kvs, KeyValue{Key: l}) } return kvs } // ExampleURLCountReduce is the reduce function in the first round func ExampleURLCountReduce(key string, values []string) string { return fmt.Sprintf("%s %s\n", key, strconv.Itoa(len(values))) } // ExampleURLTop10Map is the map function in the second round func ExampleURLTop10Map(filename string, contents string) []KeyValue { lines := strings.Split(contents, "\n") kvs := make([]KeyValue, 0, len(lines)) for _, l := range lines { kvs = append(kvs, KeyValue{"", l}) } return kvs } // ExampleURLTop10Reduce is the reduce function in the second round func ExampleURLTop10Reduce(key string, values []string) string { cnts := make(map[string]int, len(values)) for _, v := range values { v := strings.TrimSpace(v) if len(v) == 0 { continue } tmp := strings.Split(v, " ") n, err := strconv.Atoi(tmp[1]) if err != nil { panic(err) } cnts[tmp[0]] = n } us, cs := TopN(cnts, 10) buf := new(bytes.Buffer) for i := range us { fmt.Fprintf(buf, "%s: %d\n", us[i], cs[i]) } return buf.String() } ================================================ FILE: tidb/mapreduce/urltop10_test.go ================================================ package main import ( "fmt" "log" "os" "path" "runtime" "testing" "time" ) func testDataScale() ([]DataSize, []int) { dataSize := []DataSize{1 * MB, 10 * MB, 100 * MB, 500 * MB, 1 * GB} nMapFiles := []int{5, 10, 20, 40, 60} return dataSize, nMapFiles } const ( dataDir = "/tmp/mr_homework" ) func dataPrefix(i int, ds DataSize, nMap int) string { return path.Join(dataDir, fmt.Sprintf("case%d-%s-%d", i, ds, nMap)) } func TestGenData(t *testing.T) { gens := AllCaseGenFs() dataSize, nMapFiles := testDataScale() for k := range dataSize { for i, gen := range gens { fmt.Printf("generate data file for cast%d, dataSize=%v, nMap=%v\n", i, dataSize[k], nMapFiles[k]) prefix := dataPrefix(i, dataSize[k], nMapFiles[k]) gen(prefix, int(dataSize[k]), nMapFiles[k]) } } } func TestCleanData(t *testing.T) { if err := os.RemoveAll(dataDir); err != nil { log.Fatal(err) } } func TestExampleURLTop(t *testing.T) { rounds := ExampleURLTop10(GetMRCluster().NWorkers()) testURLTop(t, rounds) } func TestURLTop(t *testing.T) { rounds := URLTop10(GetMRCluster().NWorkers()) testURLTop(t, rounds) } func testURLTop(t *testing.T, rounds RoundsArgs) { if len(rounds) == 0 { t.Fatalf("no rounds arguments, please finish your code") } mr := GetMRCluster() // run all cases gens := AllCaseGenFs() dataSize, nMapFiles := testDataScale() for k := range dataSize { for i, gen := range gens { // generate data prefix := dataPrefix(i, dataSize[k], nMapFiles[k]) c := gen(prefix, int(dataSize[k]), nMapFiles[k]) runtime.GC() // run map-reduce rounds begin := time.Now() inputFiles := c.MapFiles for idx, r := range rounds { jobName := fmt.Sprintf("Case%d-Round%d", i, idx) ch := mr.Submit(jobName, prefix, r.MapFunc, r.ReduceFunc, inputFiles, r.NReduce) inputFiles = <-ch } cost := time.Since(begin) // check result if len(inputFiles) != 1 { panic("the length of result file list should be 1") } result := inputFiles[0] if errMsg, ok := CheckFile(c.ResultFile, result); !ok { t.Fatalf("Case%d FAIL, dataSize=%v, nMapFiles=%v, cost=%v\n%v\n", i, dataSize[k], nMapFiles[k], cost, errMsg) } else { fmt.Printf("Case%d PASS, dataSize=%v, nMapFiles=%v, cost=%v\n", i, dataSize[k], nMapFiles[k], cost) } } } } ================================================ FILE: tidb/mapreduce/utils.go ================================================ package main import ( "bufio" "fmt" "io/ioutil" "os" "path" "sort" "strings" ) // RoundArgs contains arguments used in a map-reduce round. type RoundArgs struct { MapFunc MapF ReduceFunc ReduceF NReduce int } // RoundsArgs represents arguments used in multiple map-reduce rounds. type RoundsArgs []RoundArgs type urlCount struct { url string cnt int } // TopN returns topN urls in the urlCntMap. func TopN(urlCntMap map[string]int, n int) ([]string, []int) { ucs := make([]*urlCount, 0, len(urlCntMap)) for k, v := range urlCntMap { ucs = append(ucs, &urlCount{k, v}) } sort.Slice(ucs, func(i, j int) bool { if ucs[i].cnt == ucs[j].cnt { return ucs[i].url < ucs[j].url } return ucs[i].cnt > ucs[j].cnt }) urls := make([]string, 0, n) cnts := make([]int, 0, n) for i, u := range ucs { if i == n { break } urls = append(urls, u.url) cnts = append(cnts, u.cnt) } return urls, cnts } // CheckFile checks if these two files are same. func CheckFile(expected, got string) (string, bool) { c1, err := ioutil.ReadFile(expected) if err != nil { panic(err) } c2, err := ioutil.ReadFile(got) if err != nil { panic(err) } s1 := strings.TrimSpace(string(c1)) s2 := strings.TrimSpace(string(c2)) if s1 == s2 { return "", true } errMsg := fmt.Sprintf("expected:\n%s\n, but got:\n%s\n", c1, c2) return errMsg, false } // CreateFileAndBuf opens or creates a specific file for writing. func CreateFileAndBuf(fpath string) (*os.File, *bufio.Writer) { dir := path.Dir(fpath) os.MkdirAll(dir, 0777) f, err := os.OpenFile(fpath, os.O_RDWR|os.O_CREATE|os.O_TRUNC, 0666) if err != nil { panic(err) } return f, bufio.NewWriterSize(f, 1<<20) } // OpenFileAndBuf opens a specific file for reading. func OpenFileAndBuf(fpath string) (*os.File, *bufio.Reader) { f, err := os.OpenFile(fpath, os.O_RDONLY, 0666) if err != nil { panic(err) } return f, bufio.NewReader(f) } // WriteToBuf write strs to this buffer. func WriteToBuf(buf *bufio.Writer, strs ...string) { for _, str := range strs { if _, err := buf.WriteString(str); err != nil { panic(err) } } } // SafeClose flushes this buffer and closes this file. func SafeClose(f *os.File, buf *bufio.Writer) { if buf != nil { if err := buf.Flush(); err != nil { panic(err) } } if err := f.Close(); err != nil { panic(err) } } // FileOrDirExist tests if this file or dir exist in a simple way. func FileOrDirExist(p string) bool { _, err := os.Stat(p) return err == nil } ================================================ FILE: tidb/mergesort/Makefile ================================================ .PHONY: all all: test bench test: go test bench: go test -bench Benchmark -run xx -count 5 -benchmem ================================================ FILE: tidb/mergesort/README.md ================================================ ## Introduction This is the Merge Sort home work for PingCAP Talent Plan Online of week 1. There are 16, 000, 000 int64 values stored in an unordered array. Please supplement the `MergeSort()` function defined in `mergesort.go` to sort this array. Requirements and rating principles: * (30%) Pass the unit test. * (20%) Performs better than `sort.Slice()`. * (40%) Have a document to describe your idea and record the process of performance optimization with `pprof`. * (10%) Have a good code style. NOTE: **go 1.12 is required** ## How to use Please supplement the `MergeSort()` function defined in `mergesort.go` to accomplish the home work. **NOTE**: 1. There is a builtin unit test defined in `mergesort_test.go`, however, you still can write your own unit tests. 2. There is a builtin benchmark test defined in `bench_test.go`, you should run this benchmark to ensure that your parallel merge sort is fast enough. How to test: ``` make test ``` How to benchmark: ``` make bench ``` ================================================ FILE: tidb/mergesort/bench_test.go ================================================ package main import ( "sort" "testing" ) func BenchmarkMergeSort(b *testing.B) { numElements := 16 << 20 src := make([]int64, numElements) original := make([]int64, numElements) prepare(original) b.ResetTimer() for i := 0; i < b.N; i++ { b.StopTimer() copy(src, original) b.StartTimer() MergeSort(src) } } func BenchmarkNormalSort(b *testing.B) { numElements := 16 << 20 src := make([]int64, numElements) original := make([]int64, numElements) prepare(original) b.ResetTimer() for i := 0; i < b.N; i++ { b.StopTimer() copy(src, original) b.StartTimer() sort.Slice(src, func(i, j int) bool { return src[i] < src[j] }) } } ================================================ FILE: tidb/mergesort/go.mod ================================================ module pingcap/talentplan/tidb/mergesort go 1.12 require github.com/pingcap/check v0.0.0-20190102082844-67f458068fc8 ================================================ FILE: tidb/mergesort/go.sum ================================================ github.com/pingcap/check v0.0.0-20190102082844-67f458068fc8 h1:USx2/E1bX46VG32FIw034Au6seQ2fY9NEILmNh/UlQg= github.com/pingcap/check v0.0.0-20190102082844-67f458068fc8/go.mod h1:B1+S9LNcuMyLH/4HMTViQOJevkGiik3wW2AN9zb2fNQ= ================================================ FILE: tidb/mergesort/mergesort.go ================================================ package main // MergeSort performs the merge sort algorithm. // Please supplement this function to accomplish the home work. func MergeSort(src []int64) { } ================================================ FILE: tidb/mergesort/mergesort_test.go ================================================ package main import ( "math/rand" "sort" "testing" "time" "github.com/pingcap/check" ) var _ = check.Suite(&sortTestSuite{}) func TestT(t *testing.T) { check.TestingT(t) } func prepare(src []int64) { rand.Seed(time.Now().Unix()) for i := range src { src[i] = rand.Int63() } } type sortTestSuite struct{} func (s *sortTestSuite) TestMergeSort(c *check.C) { lens := []int{1, 3, 5, 7, 11, 13, 17, 19, 23, 29, 1024, 1 << 13, 1 << 17, 1 << 19, 1 << 20} for i := range lens { src := make([]int64, lens[i]) expect := make([]int64, lens[i]) prepare(src) copy(expect, src) MergeSort(src) sort.Slice(expect, func(i, j int) bool { return expect[i] < expect[j] }) for i := 0; i < len(src); i++ { c.Assert(src[i], check.Equals, expect[i]) } } }