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Repository: harsha2010/magellan
Branch: master
Commit: 63655a22df99
Files: 142
Total size: 16.9 MB

Directory structure:
gitextract_zae3bxd7/

├── .gitignore
├── .travis.yml
├── LICENSE
├── README.md
├── build.sbt
├── examples/
│   └── datasets/
│       └── NYC-NEIGHBORHOODS/
│           └── neighborhoods.geojson
├── project/
│   ├── assembly.sbt
│   ├── build.properties
│   └── plugins.sbt
├── python/
│   ├── MANIFEST.in
│   ├── __init__.py
│   ├── magellan/
│   │   ├── __init__.py
│   │   ├── column.py
│   │   ├── context.py
│   │   ├── coord.py
│   │   └── types.py
│   ├── requirements.txt
│   ├── setup.cfg
│   ├── setup.py
│   └── spark-package-deps.txt
├── sbt/
│   ├── sbt
│   └── sbt-launch-lib.bash
└── src/
    ├── main/
    │   └── scala/
    │       ├── magellan/
    │       │   ├── BoundingBox.scala
    │       │   ├── DefaultSource.scala
    │       │   ├── DoubleArrayData.scala
    │       │   ├── GeoJSONRelation.scala
    │       │   ├── IntegerArrayData.scala
    │       │   ├── Line.scala
    │       │   ├── OsmFileRelation.scala
    │       │   ├── Point.scala
    │       │   ├── PolyLine.scala
    │       │   ├── Polygon.scala
    │       │   ├── Relate.scala
    │       │   ├── Shape.scala
    │       │   ├── ShapefileRelation.scala
    │       │   ├── SpatialRelation.scala
    │       │   ├── Utils.scala
    │       │   ├── WKTParser.scala
    │       │   ├── catalyst/
    │       │   │   ├── MagellanExpression.scala
    │       │   │   ├── RangeQueryRewrite.scala
    │       │   │   ├── SpatialJoin.scala
    │       │   │   └── SpatialJoinHint.scala
    │       │   ├── dsl/
    │       │   │   └── package.scala
    │       │   ├── encoders/
    │       │   │   └── Encoders.scala
    │       │   ├── esri/
    │       │   │   └── ESRIUtil.scala
    │       │   ├── geojson.scala
    │       │   ├── geometry/
    │       │   │   ├── Curve.scala
    │       │   │   ├── Loop.scala
    │       │   │   └── R2Loop.scala
    │       │   ├── index/
    │       │   │   ├── Index.scala
    │       │   │   ├── Indexer.scala
    │       │   │   ├── ZOrderCurve.scala
    │       │   │   └── ZOrderCurveIndexer.scala
    │       │   ├── io/
    │       │   │   ├── OsmShape.scala
    │       │   │   ├── ShapeKey.scala
    │       │   │   ├── ShapeReader.scala
    │       │   │   └── ShapeWritable.scala
    │       │   └── mapreduce/
    │       │       ├── DBInputFormat.scala
    │       │       ├── DBReader.scala
    │       │       ├── MapReduceUtils.scala
    │       │       ├── OsmInputFormat.scala
    │       │       ├── OsmRecordReader.scala
    │       │       ├── ShapeInputFormat.scala
    │       │       ├── ShapefileReader.scala
    │       │       ├── ShxInputFormat.scala
    │       │       ├── WholeFileInputFormat.scala
    │       │       └── WholeFileReader.scala
    │       └── org/
    │           └── apache/
    │               └── spark/
    │                   └── sql/
    │                       ├── catalyst/
    │                       │   └── expressions/
    │                       │       ├── functions.scala
    │                       │       ├── predicates.scala
    │                       │       └── serdes.scala
    │                       └── types/
    │                           ├── GeometricUDT.scala
    │                           ├── LineUDT.scala
    │                           ├── PointUDT.scala
    │                           ├── PolyLineUDT.scala
    │                           ├── PolygonUDT.scala
    │                           └── ZOrderCurveUDT.scala
    └── test/
        ├── resources/
        │   ├── geojson/
        │   │   ├── linestring/
        │   │   │   └── example.geojson
        │   │   ├── multipolygon/
        │   │   │   ├── countries.geojson
        │   │   │   └── example.geojson
        │   │   ├── point/
        │   │   │   └── point.geojson
        │   │   ├── point-double-int/
        │   │   │   └── point.geojson
        │   │   ├── point-int-double/
        │   │   │   └── point.geojson
        │   │   ├── point-int-int/
        │   │   │   └── point.geojson
        │   │   ├── polygon/
        │   │   │   └── example.geojson
        │   │   ├── polygon-double-int/
        │   │   │   └── example.geojson
        │   │   ├── polygon-int-double/
        │   │   │   └── example.geojson
        │   │   └── polygon-int-int/
        │   │       └── example.geojson
        │   ├── landtracs/
        │   │   └── landtrac_units.dbf
        │   ├── osm/
        │   │   ├── combination/
        │   │   │   └── example.osm
        │   │   ├── linestring/
        │   │   │   └── example.osm
        │   │   ├── point/
        │   │   │   └── example.osm
        │   │   └── polygon/
        │   │       └── example.osm
        │   ├── shapefiles/
        │   │   ├── ISSUE-167/
        │   │   │   └── iri_shape.dbf
        │   │   └── us_states/
        │   │       ├── tl_2016_us_state.cpg
        │   │       ├── tl_2016_us_state.dbf
        │   │       ├── tl_2016_us_state.prj
        │   │       ├── tl_2016_us_state.shp
        │   │       ├── tl_2016_us_state.shp.ea.iso.xml
        │   │       ├── tl_2016_us_state.shp.iso.xml
        │   │       ├── tl_2016_us_state.shp.xml
        │   │       └── tl_2016_us_state.shx
        │   ├── testcomposite/
        │   │   ├── testpoint.shp
        │   │   └── testpolygon.shp
        │   ├── testindex/
        │   │   └── testpolygon.json
        │   ├── testpoint/
        │   │   └── testpoint.shp
        │   ├── testpolygon/
        │   │   └── testpolygon.shp
        │   ├── testpolyline/
        │   │   ├── sf_streets.dbf
        │   │   └── sf_streets.shp
        │   ├── testshapefile/
        │   │   └── california_test.shp
        │   └── testzillow/
        │       ├── zillow_ca.dbf
        │       ├── zillow_ca.shp
        │       ├── zillow_dc.shp
        │       ├── zillow_fl.shp
        │       ├── zillow_oh.dbf
        │       └── zillow_oh.shp
        └── scala/
            └── magellan/
                ├── BoundingBoxSuite.scala
                ├── GeoJSONSuite.scala
                ├── LineSuite.scala
                ├── OsmSuite.scala
                ├── PointSuite.scala
                ├── PolyLineSuite.scala
                ├── PolygonSuite.scala
                ├── ShapefileSuite.scala
                ├── TestSparkContext.scala
                ├── TestingUtils.scala
                ├── WKTParserSuite.scala
                ├── catalyst/
                │   ├── AsGeoJSONSuite.scala
                │   ├── BufferSuite.scala
                │   ├── ExpressionSuite.scala
                │   ├── IndexerSuite.scala
                │   ├── RangeQueryRewriteSuite.scala
                │   ├── SpatialJoinSuite.scala
                │   ├── TransformerSuite.scala
                │   └── WKTSuite.scala
                ├── encoders/
                │   └── EncodersSuite.scala
                ├── esri/
                │   └── ESRIUtilSuite.scala
                ├── geometry/
                │   └── R2LoopSuite.scala
                ├── index/
                │   └── ZOrderCurveSuite.scala
                ├── io/
                │   └── ShapeReaderSuite.scala
                └── mapreduce/
                    ├── DBReaderSuite.scala
                    ├── ShxReaderSuite.scala
                    └── WholeFileReaderSuite.scala

================================================
FILE CONTENTS
================================================

================================================
FILE: .gitignore
================================================
*.iml
*jar
/lib/
/classes/
/target/
/python/magellan/*pyc
/python/*pyc
/project/project/
/project/target/
.idea/
.lein-deps-sum


================================================
FILE: .travis.yml
================================================
language: scala
sudo: false
cache:
  directories:
    - $HOME/.ivy2
# There's no nicer way to specify this matrix; see
# https://github.com/travis-ci/travis-ci/issues/1519.
matrix:
  include: 
    - jdk: oraclejdk8 
      scala: 2.11.8
      env: TEST_HADOOP_VERSION="2.7.3" TEST_SPARK_VERSION="2.3.1"
    - jdk: oraclejdk8
      scala: 2.11.8
      env: TEST_HADOOP_VERSION="2.2.0" TEST_SPARK_VERSION="2.1.0"
script:
  - sbt -Dhadoop.testVersion=$TEST_HADOOP_VERSION -Dspark.testVersion=$TEST_SPARK_VERSION ++$TRAVIS_SCALA_VERSION coverage test
after_success:
  - bash <(curl -s https://codecov.io/bash)


================================================
FILE: LICENSE
================================================
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================================================
FILE: README.md
================================================
# Magellan: Geospatial Analytics Using Spark
[![Gitter chat](https://badges.gitter.im/Magellan-dev/Lobby.png)](https://gitter.im/Magellan-dev/Lobby)
[![Build Status](https://travis-ci.org/harsha2010/magellan.svg?branch=master)](https://travis-ci.org/harsha2010/magellan)
[![codecov.io](http://codecov.io/github/harsha2010/magellan/coverage.svg?branch=master)](http://codecov.io/github/harsha2010/magellan?branch=maste)


Magellan is a distributed execution engine for geospatial analytics on big data. It is implemented on top of Apache Spark and deeply leverages modern database techniques like efficient data layout, code generation and query optimization in order to optimize geospatial queries.

The application developer writes standard sql or data frame queries to evaluate geometric expressions while the execution engine takes care of efficiently laying data out in memory during query processing, picking the right query plan, optimizing the query execution with cheap and efficient spatial indices while presenting a declarative abstraction to the developer.

Magellan is the first library to extend Spark SQL to provide a relational abstraction for geospatial analytics. I see it as an evolution of geospatial analytics engines into the emerging world of big data by providing abstractions that are developer friendly, can be leveraged by anyone who understands or uses Apache Spark while simultaneously showcasing an execution engine that is state of the art for geospatial analytics on big data.

# Version Release Notes

You can find notes on the various released versions [here](https://github.com/harsha2010/magellan/releases)

# Linking

You can link against the latest release using the following coordinates:

	groupId: harsha2010
	artifactId: magellan
	version: 1.0.5-s_2.11

# Requirements

v1.0.5 requires Spark 2.1+ and Scala 2.11

# Capabilities

The library currently supports reading the following formats:
  
  * [ESRI](https://www.esri.com/library/whitepapers/pdfs/shapefile.pdf) 
  * [GeoJSON](http://geojson.org)
  * [OSM-XML](http://wiki.openstreetmap.org/wiki/OSM_XML)
  * [WKT](https://en.wikipedia.org/wiki/Well-known_text).

We aim to support the full suite of [OpenGIS Simple Features for SQL ](http://www.opengeospatial.org/standards/sfs) spatial predicate functions and operators together with additional topological functions.

The following geometries are currently supported:

**Geometries**:

  * Point
  * LineString
  * Polygon
  * MultiPoint
  * MultiPolygon (treated as a collection of Polygons and read in as a row per polygon by the GeoJSON reader)
	
The following predicates are currently supported:

  * Intersects
  * Contains
  * Within

The following languages are currently supported:

  * Scala




# Reading Data

You can read Shapefile formatted data as follows:


	val df = sqlCtx.read.
	  format("magellan").
	  load(path)
	  
	df.show()
	
	+-----+--------+--------------------+--------------------+-----+
	|point|polyline|             polygon|            metadata|valid|
	+-----+--------+--------------------+--------------------+-----+
	| null|    null|Polygon(5, Vector...|Map(neighborho ->...| true|
	| null|    null|Polygon(5, Vector...|Map(neighborho ->...| true|
	| null|    null|Polygon(5, Vector...|Map(neighborho ->...| true|
	| null|    null|Polygon(5, Vector...|Map(neighborho ->...| true|
	+-----+--------+--------------------+--------------------+-----+
	
	df.select(df.metadata['neighborho']).show()
	
	+--------------------+
	|metadata[neighborho]|
	+--------------------+
	|Twin Peaks       ...|
	|Pacific Heights  ...|
	|Visitacion Valley...|
	|Potrero Hill     ...|
	+--------------------+
	

To read GeoJSON format pass in the type as geojson during load as follows:

	val df = sqlCtx.read.
	  format("magellan").
	  option("type", "geojson").
	  load(path)
	  

# Scala API

Magellan is hosted on [Spark Packages](http://spark-packages.org/package/harsha2010/magellan)

When launching the Spark Shell, Magellan can be included like any other spark package using the --packages option:

	> $SPARK_HOME/bin/spark-shell --packages harsha2010:magellan:1.0.4-s_2.11

A few common packages you might want to import within Magellan
	
	import magellan.{Point, Polygon}
	import org.apache.spark.sql.magellan.dsl.expressions._
	import org.apache.spark.sql.types._

## Data Structures

### Point

	val points = sc.parallelize(Seq((-1.0, -1.0), (-1.0, 1.0), (1.0, -1.0))).toDF("x", "y").select(point($"x", $"y").as("point"))
	
	points.show()
	
	+-----------------+
	|            point|
	+-----------------+
	|Point(-1.0, -1.0)|
	| Point(-1.0, 1.0)|
	| Point(1.0, -1.0)|
	+-----------------+
	
### Polygon

	case class PolygonRecord(polygon: Polygon)
	
	val ring = Array(Point(1.0, 1.0), Point(1.0, -1.0),
     Point(-1.0, -1.0), Point(-1.0, 1.0),
     Point(1.0, 1.0))
    val polygons = sc.parallelize(Seq(
        PolygonRecord(Polygon(Array(0), ring))
      )).toDF()
      
    polygons.show()
    
    +--------------------+
	|             polygon|
	+--------------------+
	|Polygon(5, Vector...|
	+--------------------+

## Predicates

### within

	points.join(polygons).where($"point" within $"polygon").show()

### intersects

	points.join(polygons).where($"point" intersects $"polygon").show()
	
	+-----------------+--------------------+
	|            point|             polygon|
	+-----------------+--------------------+
	|Point(-1.0, -1.0)|Polygon(5, Vector...|
	| Point(-1.0, 1.0)|Polygon(5, Vector...|
	| Point(1.0, -1.0)|Polygon(5, Vector...|
	+-----------------+--------------------+

### contains

Since contains is an overloaded expression (contains is used for checking String containment by Spark SQL), Magellan uses the Binary Expression ```>?``` for checking shape containment.

	points.join(polygons).where($"polygon" >? $"polygon").show()


	
A Databricks notebook with similar examples is published [here](https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/137058993011870/882779309834027/6891974485343070/latest.html) for convenience.

# Spatial indexes

Starting v1.0.5, Magellan support spatial indexes.
Spatial indexes supported the so called [ZOrderCurves](https://en.wikipedia.org/wiki/Z-order_curve).


Given a column of shapes, one can index the shapes to a given precision using a geohash indexer by doing the following:

```scala
df.withColumn("index", $"polygon" index 30)
```

This produces a new column called ```index``` which is a list of ZOrder Curves of precision ```30``` that taken together cover the polygon.

# Creating Indexes while loading data

The Spatial Relations (GeoJSON, Shapefile, OSM-XML) all have the ability to automatically index the geometries while loading them.

To turn this feature on, pass in the parameter ```magellan.index = true``` and optionally a value for ```magellan.index.precision``` (default = 30) while loading the data as follows:

```scala
spark.read.format("magellan")
  .option("magellan.index", "true")
  .option("magellan.index.precision", "25")
  .load(s"$path")
```

This creates an additional column called ```index``` which holds the list of ZOrder Curves of the given precision that cover each geometry in the dataset.

# Spatial Joins

Magellan leverages Spark SQL and has support for joins by default. However, these joins are by default not aware that the columns are geometric so a join of the form

```scala
  points.join(polygons).where($"point" within $"polygon")
```

will be treated as a Cartesian Join followed by a predicate. 
In some cases (especially when the polygon dataset is small (O(100-10000) polygons) this is fast enough.
However, when the number of polygons is much larger than that, you will need spatial joins to allow you to scale this computation

To enable spatial joins in Magellan, add a spatial join rule to Spark by injecting the following code before the join:

```scala
  magellan.Utils.injectRules(spark)
```


Furthermore, during the join, you will need to provide Magellan a hint of the precision at which to create indices for the join

You can do this by annotating either of the dataframes involved in the join by providing a Spatial Join Hint as follows:

```scala
var df = df.index(30) //after load or
val df =spark.read.format(...).load(..).index(30) //during load
```

Then a join of the form

```scala
  points.join(polygons).where($"point" within $"polygon") // or
  
  points.join(polygons index 30).where($"point" within $"polygon")
```

automatically uses indexes to speed up the join


# Developer Channel

Please visit [Gitter](https://gitter.im/magellan-dev/Lobby?source=orgpage) to discuss Magellan, obtain help from developers or report issues.
# Magellan Blog

For more details on Magellan and thoughts around Geospatial Analytics and the optimizations chosen for this project, please visit my [blog](https://magellan.ghost.io)


================================================
FILE: build.sbt
================================================
name := "magellan"

version := "1.0.6-SNAPSHOT"

organization := "harsha2010"

scalaVersion := "2.11.8"

crossScalaVersions := Seq("2.11.8")

sparkVersion := "2.3.1"

scalacOptions += "-optimize"

val testSparkVersion = settingKey[String]("The version of Spark to test against.")

testSparkVersion := sys.props.get("spark.testVersion").getOrElse(sparkVersion.value)

val testHadoopVersion = settingKey[String]("The version of Hadoop to test against.")

testHadoopVersion := sys.props.getOrElse("hadoop.testVersion", "2.7.3")

sparkComponents := Seq("core", "sql")

libraryDependencies ++= Seq(
  "commons-io" % "commons-io" % "2.4",
  "com.google.guava" % "guava" % "14.0.1" % "provided",
  "org.slf4j" % "slf4j-api" % "1.7.16" % "provided",
  "com.lihaoyi" % "fastparse_2.11" % "0.4.3" % "provided",
  "org.scalatest" %% "scalatest" % "2.2.1" % "test",
  "com.vividsolutions" % "jts" % "1.13" % "test",
  "com.esri.geometry" % "esri-geometry-api" % "1.2.1"
)

libraryDependencies ++= Seq(
  "org.apache.hadoop" % "hadoop-client" % testHadoopVersion.value % "test",
  "org.apache.spark" %% "spark-core" % testSparkVersion.value % "test" exclude("org.apache.hadoop", "hadoop-client"),
  "org.apache.spark" %% "spark-sql" % testSparkVersion.value % "test" exclude("org.apache.hadoop", "hadoop-client")
)

// This is necessary because of how we explicitly specify Spark dependencies
// for tests rather than using the sbt-spark-package plugin to provide them.
spIgnoreProvided := true

publishMavenStyle := true

spAppendScalaVersion := true

spIncludeMaven := true

publishTo := {
  val nexus = "https://oss.sonatype.org/"
  if (version.value.endsWith("SNAPSHOT"))
    Some("snapshots" at nexus + "content/repositories/snapshots")
  else
    Some("releases"  at nexus + "service/local/staging/deploy/maven2")
}

pomExtra := (
  <url>https://github.com/harsha2010/magellan</url>
  <licenses>
    <license>
      <name>Apache License, Verision 2.0</name>
      <url>http://www.apache.org/licenses/LICENSE-2.0.html</url>
      <distribution>repo</distribution>
    </license>
  </licenses>
  <scm>
    <url>git@github.com:harsha2010/magellan.git</url>
    <connection>scm:git:git@github.com:harsha2010/magellan.git</connection>
  </scm>
  <developers>
    <developer>
      <id>harsha2010</id>
      <name>Ram Sriharsha</name>
      <url>www.linkedin.com/in/harsha340</url>
    </developer>
  </developers>)

spName := "harsha2010/magellan"

parallelExecution in Test := false

ScoverageSbtPlugin.ScoverageKeys.coverageHighlighting := {
  if (scalaBinaryVersion.value == "2.10") false
  else true
}

credentials += Credentials(Path.userHome / ".ivy2" / ".sbtcredentials")

licenses += "Apache-2.0" -> url("http://opensource.org/licenses/Apache-2.0")



================================================
FILE: examples/datasets/NYC-NEIGHBORHOODS/neighborhoods.geojson
================================================
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"type": "FeatureCollection",
                                                                                
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Download .txt
gitextract_zae3bxd7/

├── .gitignore
├── .travis.yml
├── LICENSE
├── README.md
├── build.sbt
├── examples/
│   └── datasets/
│       └── NYC-NEIGHBORHOODS/
│           └── neighborhoods.geojson
├── project/
│   ├── assembly.sbt
│   ├── build.properties
│   └── plugins.sbt
├── python/
│   ├── MANIFEST.in
│   ├── __init__.py
│   ├── magellan/
│   │   ├── __init__.py
│   │   ├── column.py
│   │   ├── context.py
│   │   ├── coord.py
│   │   └── types.py
│   ├── requirements.txt
│   ├── setup.cfg
│   ├── setup.py
│   └── spark-package-deps.txt
├── sbt/
│   ├── sbt
│   └── sbt-launch-lib.bash
└── src/
    ├── main/
    │   └── scala/
    │       ├── magellan/
    │       │   ├── BoundingBox.scala
    │       │   ├── DefaultSource.scala
    │       │   ├── DoubleArrayData.scala
    │       │   ├── GeoJSONRelation.scala
    │       │   ├── IntegerArrayData.scala
    │       │   ├── Line.scala
    │       │   ├── OsmFileRelation.scala
    │       │   ├── Point.scala
    │       │   ├── PolyLine.scala
    │       │   ├── Polygon.scala
    │       │   ├── Relate.scala
    │       │   ├── Shape.scala
    │       │   ├── ShapefileRelation.scala
    │       │   ├── SpatialRelation.scala
    │       │   ├── Utils.scala
    │       │   ├── WKTParser.scala
    │       │   ├── catalyst/
    │       │   │   ├── MagellanExpression.scala
    │       │   │   ├── RangeQueryRewrite.scala
    │       │   │   ├── SpatialJoin.scala
    │       │   │   └── SpatialJoinHint.scala
    │       │   ├── dsl/
    │       │   │   └── package.scala
    │       │   ├── encoders/
    │       │   │   └── Encoders.scala
    │       │   ├── esri/
    │       │   │   └── ESRIUtil.scala
    │       │   ├── geojson.scala
    │       │   ├── geometry/
    │       │   │   ├── Curve.scala
    │       │   │   ├── Loop.scala
    │       │   │   └── R2Loop.scala
    │       │   ├── index/
    │       │   │   ├── Index.scala
    │       │   │   ├── Indexer.scala
    │       │   │   ├── ZOrderCurve.scala
    │       │   │   └── ZOrderCurveIndexer.scala
    │       │   ├── io/
    │       │   │   ├── OsmShape.scala
    │       │   │   ├── ShapeKey.scala
    │       │   │   ├── ShapeReader.scala
    │       │   │   └── ShapeWritable.scala
    │       │   └── mapreduce/
    │       │       ├── DBInputFormat.scala
    │       │       ├── DBReader.scala
    │       │       ├── MapReduceUtils.scala
    │       │       ├── OsmInputFormat.scala
    │       │       ├── OsmRecordReader.scala
    │       │       ├── ShapeInputFormat.scala
    │       │       ├── ShapefileReader.scala
    │       │       ├── ShxInputFormat.scala
    │       │       ├── WholeFileInputFormat.scala
    │       │       └── WholeFileReader.scala
    │       └── org/
    │           └── apache/
    │               └── spark/
    │                   └── sql/
    │                       ├── catalyst/
    │                       │   └── expressions/
    │                       │       ├── functions.scala
    │                       │       ├── predicates.scala
    │                       │       └── serdes.scala
    │                       └── types/
    │                           ├── GeometricUDT.scala
    │                           ├── LineUDT.scala
    │                           ├── PointUDT.scala
    │                           ├── PolyLineUDT.scala
    │                           ├── PolygonUDT.scala
    │                           └── ZOrderCurveUDT.scala
    └── test/
        ├── resources/
        │   ├── geojson/
        │   │   ├── linestring/
        │   │   │   └── example.geojson
        │   │   ├── multipolygon/
        │   │   │   ├── countries.geojson
        │   │   │   └── example.geojson
        │   │   ├── point/
        │   │   │   └── point.geojson
        │   │   ├── point-double-int/
        │   │   │   └── point.geojson
        │   │   ├── point-int-double/
        │   │   │   └── point.geojson
        │   │   ├── point-int-int/
        │   │   │   └── point.geojson
        │   │   ├── polygon/
        │   │   │   └── example.geojson
        │   │   ├── polygon-double-int/
        │   │   │   └── example.geojson
        │   │   ├── polygon-int-double/
        │   │   │   └── example.geojson
        │   │   └── polygon-int-int/
        │   │       └── example.geojson
        │   ├── landtracs/
        │   │   └── landtrac_units.dbf
        │   ├── osm/
        │   │   ├── combination/
        │   │   │   └── example.osm
        │   │   ├── linestring/
        │   │   │   └── example.osm
        │   │   ├── point/
        │   │   │   └── example.osm
        │   │   └── polygon/
        │   │       └── example.osm
        │   ├── shapefiles/
        │   │   ├── ISSUE-167/
        │   │   │   └── iri_shape.dbf
        │   │   └── us_states/
        │   │       ├── tl_2016_us_state.cpg
        │   │       ├── tl_2016_us_state.dbf
        │   │       ├── tl_2016_us_state.prj
        │   │       ├── tl_2016_us_state.shp
        │   │       ├── tl_2016_us_state.shp.ea.iso.xml
        │   │       ├── tl_2016_us_state.shp.iso.xml
        │   │       ├── tl_2016_us_state.shp.xml
        │   │       └── tl_2016_us_state.shx
        │   ├── testcomposite/
        │   │   ├── testpoint.shp
        │   │   └── testpolygon.shp
        │   ├── testindex/
        │   │   └── testpolygon.json
        │   ├── testpoint/
        │   │   └── testpoint.shp
        │   ├── testpolygon/
        │   │   └── testpolygon.shp
        │   ├── testpolyline/
        │   │   ├── sf_streets.dbf
        │   │   └── sf_streets.shp
        │   ├── testshapefile/
        │   │   └── california_test.shp
        │   └── testzillow/
        │       ├── zillow_ca.dbf
        │       ├── zillow_ca.shp
        │       ├── zillow_dc.shp
        │       ├── zillow_fl.shp
        │       ├── zillow_oh.dbf
        │       └── zillow_oh.shp
        └── scala/
            └── magellan/
                ├── BoundingBoxSuite.scala
                ├── GeoJSONSuite.scala
                ├── LineSuite.scala
                ├── OsmSuite.scala
                ├── PointSuite.scala
                ├── PolyLineSuite.scala
                ├── PolygonSuite.scala
                ├── ShapefileSuite.scala
                ├── TestSparkContext.scala
                ├── TestingUtils.scala
                ├── WKTParserSuite.scala
                ├── catalyst/
                │   ├── AsGeoJSONSuite.scala
                │   ├── BufferSuite.scala
                │   ├── ExpressionSuite.scala
                │   ├── IndexerSuite.scala
                │   ├── RangeQueryRewriteSuite.scala
                │   ├── SpatialJoinSuite.scala
                │   ├── TransformerSuite.scala
                │   └── WKTSuite.scala
                ├── encoders/
                │   └── EncodersSuite.scala
                ├── esri/
                │   └── ESRIUtilSuite.scala
                ├── geometry/
                │   └── R2LoopSuite.scala
                ├── index/
                │   └── ZOrderCurveSuite.scala
                ├── io/
                │   └── ShapeReaderSuite.scala
                └── mapreduce/
                    ├── DBReaderSuite.scala
                    ├── ShxReaderSuite.scala
                    └── WholeFileReaderSuite.scala
Download .txt
SYMBOL INDEX (70 symbols across 4 files)

FILE: python/magellan/column.py
  function _bin_op (line 20) | def _bin_op(name, doc="binary operator"):
  function _unary_op (line 40) | def _unary_op(name, doc="unary operator"):

FILE: python/magellan/context.py
  class MagellanContext (line 44) | class MagellanContext(SQLContext):
    method __init__ (line 52) | def __init__(self, sparkContext, magellanContext=None):
    method _ssql_ctx (line 58) | def _ssql_ctx(self):
    method _get_magellan_ctx (line 64) | def _get_magellan_ctx(self):

FILE: python/magellan/coord.py
  class System (line 23) | class System(object):
    method frm (line 25) | def frm(self):
    method to (line 28) | def to(self):
  class NAD83 (line 32) | class NAD83(System):
    method __init__ (line 47) | def __init__(self, params):
    method frm (line 51) | def frm(self):
    method qqq (line 54) | def qqq(self, e, s):
    method extract_point (line 58) | def extract_point(self, p):
    method to_lambert_conic (line 65) | def to_lambert_conic(self):

FILE: python/magellan/types.py
  class Shape (line 38) | class Shape(DataType):
    method convert (line 40) | def convert(self):
    method toShapely (line 43) | def toShapely(self):
  class PointUDT (line 50) | class PointUDT(UserDefinedType):
    method sqlType (line 57) | def sqlType(cls):
    method module (line 61) | def module(cls):
    method scalaUDT (line 68) | def scalaUDT(cls):
    method serialize (line 74) | def serialize(self, obj):
    method deserialize (line 83) | def deserialize(self, datum):
    method simpleString (line 94) | def simpleString(self):
    method fromJson (line 98) | def fromJson(cls, json):
  class Point (line 102) | class Point(Shape):
    method __init__ (line 117) | def __init__(self, x = 0.0, y = 0.0):
    method __str__ (line 121) | def __str__(self):
    method __repr__ (line 124) | def __repr__(self):
    method __unicode__ (line 127) | def __unicode__(self):
    method __reduce__ (line 130) | def __reduce__(self):
    method __eq__ (line 133) | def __eq__(self, other):
    method fromJson (line 137) | def fromJson(cls, json):
    method jsonValue (line 140) | def jsonValue(self):
    method convert (line 146) | def convert(self):
  class PolygonUDT (line 150) | class PolygonUDT(UserDefinedType):
    method sqlType (line 158) | def sqlType(cls):
    method module (line 165) | def module(cls):
    method scalaUDT (line 172) | def scalaUDT(cls):
    method serialize (line 178) | def serialize(self, obj):
    method deserialize (line 187) | def deserialize(self, datum):
    method simpleString (line 198) | def simpleString(self):
    method fromJson (line 202) | def fromJson(cls, json):
  class Polygon (line 208) | class Polygon(Shape):
    method __init__ (line 224) | def __init__(self, indices = [], points = []):
    method __str__ (line 228) | def __str__(self):
    method __repr__ (line 233) | def __repr__(self):
    method __reduce__ (line 236) | def __reduce__(self):
    method fromJson (line 240) | def fromJson(cls, json):
    method jsonValue (line 245) | def jsonValue(self):
    method convert (line 251) | def convert(self):
  class PolyLineUDT (line 265) | class PolyLineUDT(UserDefinedType):
    method sqlType (line 274) | def sqlType(cls):
    method module (line 281) | def module(cls):
    method scalaUDT (line 288) | def scalaUDT(cls):
    method serialize (line 294) | def serialize(self, obj):
    method deserialize (line 303) | def deserialize(self, datum):
    method simpleString (line 314) | def simpleString(self):
    method fromJson (line 318) | def fromJson(cls, json):
  class PolyLine (line 324) | class PolyLine(Shape):
    method __init__ (line 336) | def __init__(self, indices = [], points = []):
    method __str__ (line 340) | def __str__(self):
    method __repr__ (line 345) | def __repr__(self):
    method __reduce__ (line 348) | def __reduce__(self):
    method fromJson (line 352) | def fromJson(cls, json):
    method jsonValue (line 357) | def jsonValue(self):
    method convert (line 363) | def convert(self):
  function _inbound_shape_converter (line 374) | def _inbound_shape_converter(json_string):
  function _create_row_inbound_converter (line 385) | def _create_row_inbound_converter(dataType):
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    "path": "src/main/scala/org/apache/spark/sql/types/PointUDT.scala",
    "chars": 1754,
    "preview": "package org.apache.spark.sql.types\n\nimport magellan._\nimport org.apache.spark.sql.catalyst.InternalRow\nimport org.apache"
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  {
    "path": "src/test/resources/geojson/multipolygon/countries.geojson",
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    "path": "src/test/resources/osm/linestring/example.osm",
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    "path": "src/test/resources/shapefiles/us_states/tl_2016_us_state.cpg",
    "chars": 5,
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    "path": "src/test/resources/shapefiles/us_states/tl_2016_us_state.prj",
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    "path": "src/test/resources/shapefiles/us_states/tl_2016_us_state.shp.ea.iso.xml",
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    "path": "src/test/resources/testindex/testpolygon.json",
    "chars": 2340,
    "preview": "{\n  \"xcoordinates\": [\n    -74.169827,\n    -74.16982257259502,\n    -74.16707,\n    -74.16692298859385,\n    -74.16689000000"
  },
  {
    "path": "src/test/scala/magellan/BoundingBoxSuite.scala",
    "chars": 4424,
    "preview": "/**\n * Copyright 2015 Ram Sriharsha\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not"
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    "chars": 4554,
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    "preview": "/**\n * Copyright 2015 Ram Sriharsha\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not"
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    "preview": "/**\n * Copyright 2015 Ram Sriharsha\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not"
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    "chars": 5478,
    "preview": "/**\n * Copyright 2015 Ram Sriharsha\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not"
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    "preview": "/**\n  * Copyright 2015 Ram Sriharsha\n  *\n  * Licensed under the Apache License, Version 2.0 (the \"License\");\n  * you may"
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    "path": "src/test/scala/magellan/catalyst/AsGeoJSONSuite.scala",
    "chars": 908,
    "preview": "package magellan.catalyst\n\nimport magellan.{Geometry, Point, TestSparkContext}\nimport org.apache.spark.sql.Row\nimport or"
  },
  {
    "path": "src/test/scala/magellan/catalyst/BufferSuite.scala",
    "chars": 930,
    "preview": "package magellan.catalyst\n\nimport magellan.{Point, Polygon, TestSparkContext}\nimport org.apache.spark.sql.magellan.dsl.e"
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    "path": "src/test/scala/magellan/catalyst/ExpressionSuite.scala",
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    "path": "src/test/scala/magellan/catalyst/RangeQueryRewriteSuite.scala",
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    "path": "src/test/scala/magellan/catalyst/TransformerSuite.scala",
    "chars": 1783,
    "preview": "/**\n * Copyright 2015 Ram Sriharsha\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not"
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    "path": "src/test/scala/magellan/catalyst/WKTSuite.scala",
    "chars": 3935,
    "preview": "/**\n  * Copyright 2015 Ram Sriharsha\n  *\n  * Licensed under the Apache License, Version 2.0 (the \"License\");\n  * you may"
  },
  {
    "path": "src/test/scala/magellan/encoders/EncodersSuite.scala",
    "chars": 2282,
    "preview": "package magellan.encoders\n\nimport magellan.{Point, PolyLine, Polygon, TestSparkContext}\nimport magellan.encoders.Encoder"
  },
  {
    "path": "src/test/scala/magellan/esri/ESRIUtilSuite.scala",
    "chars": 3452,
    "preview": "package magellan.esri\n\nimport com.esri.core.geometry.{Point => ESRIPoint, Polygon => ESRIPolygon, Polyline => ESRIPolyli"
  },
  {
    "path": "src/test/scala/magellan/geometry/R2LoopSuite.scala",
    "chars": 3301,
    "preview": "/**\n  * Copyright 2015 Ram Sriharsha\n  *\n  * Licensed under the Apache License, Version 2.0 (the \"License\");\n  * you may"
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    "preview": "/**\n  * Copyright 2015 Ram Sriharsha\n  *\n  * Licensed under the Apache License, Version 2.0 (the \"License\");\n  * you may"
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    "path": "src/test/scala/magellan/mapreduce/DBReaderSuite.scala",
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    "path": "src/test/scala/magellan/mapreduce/WholeFileReaderSuite.scala",
    "chars": 1091,
    "preview": "/**\n * Copyright 2015 Ram Sriharsha\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not"
  }
]

// ... and 18 more files (download for full content)

About this extraction

This page contains the full source code of the harsha2010/magellan GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 142 files (16.9 MB), approximately 788.9k tokens, and a symbol index with 70 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

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