[
{
"path": ".gitignore",
"content": "# Compiled class file\n*.class\n\n# Log file\n*.log\n\n# BlueJ files\n*.ctxt\n\n# Mobile Tools for Java (J2ME)\n.mtj.tmp/\n\n# Package Files #\n*.jar\n*.war\n*.nar\n*.ear\n*.zip\n*.tar.gz\n*.rar\n\n# virtual machine crash logs, see http://www.java.com/en/download/help/error_hotspot.xml\nhs_err_pid*\n"
},
{
"path": ".idea/.name",
"content": "shieldratelimiter"
},
{
"path": ".idea/codeStyles/codeStyleConfig.xml",
"content": "\n \n \n \n"
},
{
"path": ".idea/compiler.xml",
"content": "\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n"
},
{
"path": ".idea/dataSources.local.xml",
"content": "\n\n \n \n \n master_key\n true\n marketing\n \n \n"
},
{
"path": ".idea/dataSources.xml",
"content": "\n\n \n \n mysql\n true\n com.mysql.jdbc.Driver\n jdbc:mysql://172.30.61.15:3306\n \n \n \n \n \n \n \n \n \n \n"
},
{
"path": ".idea/encodings.xml",
"content": "\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n"
},
{
"path": ".idea/inspectionProfiles/Project_Default.xml",
"content": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n"
},
{
"path": ".idea/misc.xml",
"content": "\n\n \n \n \n \n \n \n \n \n \n \n"
},
{
"path": ".idea/vcs.xml",
"content": "\n\n \n \n \n \n \n \n \n \n \n \n"
},
{
"path": ".idea/workspace.xml",
"content": "\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n com.gaoyang.marketing.maccbasecore.*\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 用户账户信息查询失败\n queryWebNoticeCrouselBannerList\n queryWebNoticePopupBoxesList\n QueryNoticeInfoListDO\n queryNoticeInfoList\n insertPrizeInfo\n queryPrizeInfoList\n balanceCurTotal\n queryChargedAccBalanceRecord\n e.printStackTrace()\n createNoticeInfo\n addChargeAccountBalance\n accCurrBalance\n updateSpecialChargeAccount\n 冲正\n needRollbackTradeAmount\n balanceLast\n tradeAmountReal\n ProductTypeInfoModel\n ProductInfoBizServiceImpl\n queryAllBalanceRecordList\n 清零\n version\n chargeAccountData.getExtMsg()\n extMsg\n queryAccountBalanceListData\n ChargeNotifyLocalModel\n SpecialChargeLocalModel\n rulerChargeUtils\n chargeExtMsg\n \n \n isBlank\n queryNoticeInfoListData\n OutQueryNoticeInfoModel\n CreateNoticeInfoData\n UpdateNoticeInfoData\n OutCreateNoticeInfoModel\n OutUpdateNoticeInfoModel\n CreateNoticeInfoDO\n CreateNoticeInfoDobj\n QueryNoticeInfoListDO\n QueryNoticeInfoDobj\n getNextValueByAscLong\n ChargeNotifyAcmConfig\n SpecialChargeAcmConfig\n \n \n D:\\snowalker-workspace\\0mkt-workspace\\maccbasecore\\maccbasecore-service\n D:\\snowalker-workspace\\0mkt-workspace\\mfbizcore\n D:\\snowalker-workspace\\0mkt-workspace\\maccbasecore\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n true\n DEFINITION_ORDER\n \n \n \n \n \n \n \n \n \n
\n \n \n
\n \n \n \n \n \n \n \n \n \n \n \n 1540572346057\n \n \n 1540572346057\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 1540814643793\n \n \n \n 1540814643793\n \n \n 1541988161997\n \n \n \n 1541988161997\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n permission:war\n \n \n \n \n \n \n \n Spring (maccbasecore-service)|Spring\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 1.8\n \n \n \n \n \n \n \n maccbasecore-service\n \n \n \n \n \n \n \n 1.8\n \n \n \n \n \n \n \n Maven: aopalliance:aopalliance:1.0\n \n \n \n \n \n \n \n"
},
{
"path": "CHANGELOG",
"content": "2018-10-29\n1. 增加限流提示自定义属性,message(),不填默认为“false”"
},
{
"path": "LICENSE",
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},
{
"path": "README.md",
"content": "# shield-ratelimiter\n> 基于Redis的分布式限流工具包\n\n在分布式领域，我们难免会遇到并发量突增，对后端服务造成高压力，严重甚至会导致系统宕机。为避免这种问题，我们通常会为接口添加限流、降级、熔断等能力，从而使接口更为健壮。Java领域常见的开源组件有Netflix的hystrix，阿里系开源的sentinel等，都是蛮不错的限流熔断框架。\n\n今天我们就基于Redis组件的特性，实现一个分布式限流组件，名字就定为shield-ratelimiter。\n\n## 原理\n首先解释下为何采用Redis作为限流组件的核心。\n\n通俗地讲，假设一个用户（用IP判断）每秒访问某服务接口的次数不能超过10次，那么我们可以在Redis中创建一个键，并设置键的过期时间为60秒。\n\n当一个用户对此服务接口发起一次访问就把键值加1，在单位时间（此处为1s）内当键值增加到10的时候，就禁止访问服务接口。PS:在某种场景中添加访问时间间隔还是很有必要的。我们本次不考虑间隔时间，只关注单位时间内的访问次数。\n\n## 需求\n原理已经讲过了，说下需求。\n1. 基于Redis的incr及过期机制开发\n2. 调用方便，声明式\n3. Spring支持\n\n\n基于上述需求，我们决定基于注解方式进行核心功能开发，基于Spring-boot-starter作为基础环境，从而能够很好的适配Spring环境。\n\n另外，在本次开发中，我们不通过简单的调用Redis的java类库API实现对Redis的incr操作。\n\n原因在于，我们要保证整个限流的操作是原子性的，如果用Java代码去做操作及判断，会有并发问题。这里我决定采用Lua脚本进行核心逻辑的定义。\n## 为何使用Lua\n在正式开发前，我简单介绍下对Redis的操作中，为何推荐使用Lua脚本。\n\n1. 减少网络开销: 不使用 Lua 的代码需要向 Redis 发送多次请求, 而脚本只需一次即可, 减少网络传输;\n2. 原子操作: Redis 将整个脚本作为一个原子执行, 无需担心并发, 也就无需事务;\n3. 复用: 脚本会永久保存 Redis 中, 其他客户端可继续使用.\n\nRedis添加了对Lua的支持，能够很好的满足原子性、事务性的支持，让我们免去了很多的异常逻辑处理。对于Lua的语法不是本文的主要内容，感兴趣的可以自行查找资料。\n## 正式开发\n到这里，我们正式开始手写限流组件的进程。\n### 1. 工程定义\n项目基于maven构建，主要依赖Spring-boot-starter，我们主要在springboot上进行开发，因此自定义的开发包可以直接依赖下面这个坐标，方便进行包管理。版本号自行选择稳定版。\n\n \n org.springframework.boot\n spring-boot-starter\n 1.4.2.RELEASE\n \n### 2. Redis整合\n由于我们是基于Redis进行的限流操作，因此需要整合Redis的类库，上面已经讲到，我们是基于Springboot进行的开发，因此这里可以直接整合RedisTemplate。\n#### 2.1 坐标引入\n这里我们引入spring-boot-starter-redis的依赖。\n\n \n org.springframework.boot\n spring-boot-starter-redis\n 1.4.2.RELEASE\n \n#### 2.2 注入CacheManager及RedisTemplate\n新建一个Redis的配置类，命名为RedisCacheConfig，使用javaconfig形式注入CacheManager及RedisTemplate。为了操作方便，我们采用了Jackson进行序列化。代码如下\n\n @Configuration\n @EnableCaching\n public class RedisCacheConfig {\n\n private static final Logger LOGGER = LoggerFactory.getLogger(RedisCacheConfig.class);\n\n @Bean\n public CacheManager cacheManager(RedisTemplate redisTemplate) {\n CacheManager cacheManager = new RedisCacheManager(redisTemplate);\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"Springboot Redis cacheManager 加载完成\");\n }\n return cacheManager;\n }\n\n @Bean\n public RedisTemplate redisTemplate(RedisConnectionFactory factory) {\n RedisTemplate template = new RedisTemplate<>();\n template.setConnectionFactory(factory);\n\n //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）\n Jackson2JsonRedisSerializer serializer = new Jackson2JsonRedisSerializer(Object.class);\n\n ObjectMapper mapper = new ObjectMapper();\n mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);\n mapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);\n serializer.setObjectMapper(mapper);\n\n template.setValueSerializer(serializer);\n //使用StringRedisSerializer来序列化和反序列化redis的key值\n template.setKeySerializer(new StringRedisSerializer());\n template.afterPropertiesSet();\n LOGGER.info(\"Springboot RedisTemplate 加载完成\");\n return template;\n }\n }\n\n**注意** 要使用 **@Configuration** 标注此类为一个配置类，当然你可以使用 **@Component**， 但是不推荐，原因在于 **@Component** 注解虽然也可以当作配置类，但是并不会为其生成CGLIB代理Class，而使用**@Configuration**，CGLIB会为其生成代理类，进行性能的提升。\n\n#### 2.3 调用方application.propertie需要增加Redis配置\n我们的包开发完毕之后，调用方的application.properties需要进行相关配置如下：\n\n #单机模式redis\n spring.redis.host=127.0.0.1\n spring.redis.port=6379\n spring.redis.pool.maxActive=8\n spring.redis.pool.maxWait=-1\n spring.redis.pool.maxIdle=8\n spring.redis.pool.minIdle=0\n spring.redis.timeout=10000\n spring.redis.password=\n\n如果有密码的话，配置password即可。\n\n这里为单机配置，如果需要支持哨兵集群，则配置如下，Java代码不需要改动，只需要变动配置即可。**注意** 两种配置不能共存！\n\n #哨兵集群模式\n # database name\n spring.redis.database=0\n # server password 密码，如果没有设置可不配\n spring.redis.password=\n # pool settings ...池配置\n spring.redis.pool.max-idle=8\n spring.redis.pool.min-idle=0\n spring.redis.pool.max-active=8\n spring.redis.pool.max-wait=-1\n # name of Redis server 哨兵监听的Redis server的名称\n spring.redis.sentinel.master=mymaster\n # comma-separated list of host:port pairs 哨兵的配置列表\n spring.redis.sentinel.nodes=127.0.0.1:26379,127.0.0.1:26479,127.0.0.1:26579\n\n\n### 3. 定义注解\n为了调用方便，我们定义一个名为**RateLimiter** 的注解，内容如下\n\n /**\n * @author snowalker\n * @version 1.0\n * @date 2018/10/27 1:25\n * @className RateLimiter\n * @desc 限流注解\n */\n @Target(ElementType.METHOD)\n @Retention(RetentionPolicy.RUNTIME)\n @Documented\n public @interface RateLimiter {\n\n /**\n * 限流key\n * @return\n */\n String key() default \"rate:limiter\";\n /**\n * 单位时间限制通过请求数\n * @return\n */\n long limit() default 10;\n\n /**\n * 过期时间，单位秒\n * @return\n */\n long expire() default 1;\n }\n\n该注解明确只用于方法，主要有三个属性。\n1. key--表示限流模块名，指定该值用于区分不同应用，不同场景，推荐格式为：应用名:模块名:ip:接口名:方法名\n2. limit--表示单位时间允许通过的请求数\n3. expire--incr的值的过期时间，业务中表示限流的单位时间。\n### 4. 解析注解\n定义好注解后，需要开发注解使用的切面，这里我们直接使用aspectj进行切面的开发。先看代码\n\n @Aspect\n @Component\n public class RateLimterHandler {\n\n private static final Logger LOGGER = LoggerFactory.getLogger(RateLimterHandler.class);\n\n @Autowired\n RedisTemplate redisTemplate;\n\n private DefaultRedisScript getRedisScript;\n\n @PostConstruct\n public void init() {\n getRedisScript = new DefaultRedisScript<>();\n getRedisScript.setResultType(Long.class);\n getRedisScript.setScriptSource(new ResourceScriptSource(new ClassPathResource(\"rateLimter.lua\")));\n LOGGER.info(\"RateLimterHandler[分布式限流处理器]脚本加载完成\");\n }\n\n这里是注入了RedisTemplate，使用其API进行Lua脚本的调用。\n\ninit() 方法在应用启动时会初始化DefaultRedisScript，并加载Lua脚本，方便进行调用。\n\nPS: Lua脚本放置在classpath下，通过ClassPathResource进行加载。\n\n\n @Pointcut(\"@annotation(com.snowalker.shield.ratelimiter.core.annotation.RateLimiter)\")\n public void rateLimiter() {}\n\n这里我们定义了一个切点，表示只要注解了 **@RateLimiter** 的方法，均可以触发限流操作。\n\n @Around(\"@annotation(rateLimiter)\")\n public Object around(ProceedingJoinPoint proceedingJoinPoint, RateLimiter rateLimiter) throws Throwable {\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"RateLimterHandler[分布式限流处理器]开始执行限流操作\");\n }\n Signature signature = proceedingJoinPoint.getSignature();\n if (!(signature instanceof MethodSignature)) {\n throw new IllegalArgumentException(\"the Annotation @RateLimter must used on method!\");\n }\n /**\n * 获取注解参数\n */\n // 限流模块key\n String limitKey = rateLimiter.key();\n Preconditions.checkNotNull(limitKey);\n // 限流阈值\n long limitTimes = rateLimiter.limit();\n // 限流超时时间\n long expireTime = rateLimiter.expire();\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"RateLimterHandler[分布式限流处理器]参数值为-limitTimes={},limitTimeout={}\", limitTimes, expireTime);\n }\n /**\n * 执行Lua脚本\n */\n List keyList = new ArrayList();\n // 设置key值为注解中的值\n keyList.add(limitKey);\n /**\n * 调用脚本并执行\n */\n Long result = (Long) redisTemplate.execute(getRedisScript, keyList, expireTime, limitTimes);\n if (result == 0) {\n String msg = \"由于超过单位时间=\" + expireTime + \"-允许的请求次数=\" + limitTimes + \"[触发限流]\";\n LOGGER.debug(msg);\n return \"false\";\n }\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"RateLimterHandler[分布式限流处理器]限流执行结果-result={},请求[正常]响应\", result);\n }\n return proceedingJoinPoint.proceed();\n }\n }\n\n这段代码的逻辑为，获取 **@RateLimiter** 注解配置的属性：key、limit、expire，并通过 **redisTemplate.execute(RedisScript script, List keys, Object... args)** 方法传递给Lua脚本进行限流相关操作，逻辑很清晰。\n\n这里我们定义如果脚本返回状态为0则为触发限流，1表示正常请求。\n### 5. Lua脚本\n这里是我们整个限流操作的核心，通过执行一个Lua脚本进行限流的操作。脚本内容如下\n\n --获取KEY\n local key1 = KEYS[1]\n\n local val = redis.call('incr', key1)\n local ttl = redis.call('ttl', key1)\n\n --获取ARGV内的参数并打印\n local expire = ARGV[1]\n local times = ARGV[2]\n\n redis.log(redis.LOG_DEBUG,tostring(times))\n redis.log(redis.LOG_DEBUG,tostring(expire))\n\n redis.log(redis.LOG_NOTICE, \"incr \"..key1..\" \"..val);\n if val == 1 then\n redis.call('expire', key1, tonumber(expire))\n else\n if ttl == -1 then\n redis.call('expire', key1, tonumber(expire))\n end\n end\n\n if val > tonumber(times) then\n return 0\n end\n\n return 1\n\n逻辑很通俗，我简单介绍下。\n\n1. 首先脚本获取Java代码中传递而来的要限流的模块的key，不同的模块key值一定不能相同，否则会覆盖！\n2. redis.call('incr', key1)对传入的key做incr操作，如果key首次生成，设置超时时间ARGV[1]；（初始值为1）\n3. ttl是为防止某些key在未设置超时时间并长时间已经存在的情况下做的保护的判断；\n4. 每次请求都会做+1操作，当限流的值val大于我们注解的阈值，则返回0表示已经超过请求限制，触发限流。否则为正常请求。\n\n当过期后，又是新的一轮循环，整个过程是一个原子性的操作，能够保证单位时间不会超过我们预设的请求阈值。\n\n到这里我们便可以在项目中进行测试。\n## 测试\n[demo地址](https://github.com/TaXueWWL/shleld-ratelimter/tree/master/shleld-ratelimter-demo)\n\n这里我贴一下核心代码，我们定义一个接口，并注解 **@RateLimiter(key = \"ratedemo:1.0.0\", limit = 5, expire = 100)** 表示模块ratedemo:sendPayment:1.0.0 \n在100s内允许通过5个请求，这里的参数设置是为了方便看结果。实际中，我们通常会设置1s内允许通过的次数。\n\n @Controller\n public class TestController {\n\n private static final Logger LOGGER = LoggerFactory.getLogger(TestController.class);\n\n @ResponseBody\n @RequestMapping(\"ratelimiter\")\n @RateLimiter(key = \"ratedemo:1.0.0\", limit = 5, expire = 100)\n public String sendPayment(HttpServletRequest request) throws Exception {\n\n return \"正常请求\";\n }\n\n }\n\n我们通过RestClient请求接口，日志返回如下：\n\n 2018-10-28 00:00:00.602 DEBUG 17364 --- [nio-8888-exec-1] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:00.688 DEBUG 17364 --- [nio-8888-exec-1] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]限流执行结果-result=1,请求[正常]响应\n\n 2018-10-28 00:00:00.860 DEBUG 17364 --- [nio-8888-exec-3] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:01.183 DEBUG 17364 --- [nio-8888-exec-4] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:01.520 DEBUG 17364 --- [nio-8888-exec-3] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]限流执行结果-result=1,请求[正常]响应\n 2018-10-28 00:00:01.521 DEBUG 17364 --- [nio-8888-exec-4] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]限流执行结果-result=1,请求[正常]响应\n\n 2018-10-28 00:00:01.557 DEBUG 17364 --- [nio-8888-exec-5] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:01.558 DEBUG 17364 --- [nio-8888-exec-5] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]限流执行结果-result=1,请求[正常]响应\n\n 2018-10-28 00:00:01.774 DEBUG 17364 --- [nio-8888-exec-7] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:02.111 DEBUG 17364 --- [nio-8888-exec-8] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始\n 2018-10-28 00:00:02.169 DEBUG 17364 --- [nio-8888-exec-7] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]限流执行结果-result=1,请求[正常]响应\n\n 2018-10-28 00:00:02.169 DEBUG 17364 --- [nio-8888-exec-8] c.s.s.r.core.handler.RateLimterHandler :\n 由于超过单位时间=100-允许的请求次数=5[触发限流]\n 2018-10-28 00:00:02.276 DEBUG 17364 --- [io-8888-exec-10] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:02.276 DEBUG 17364 --- [io-8888-exec-10] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]参数值为-limitTimes=5,limitTimeout=100\n 2018-10-28 00:00:02.278 DEBUG 17364 --- [io-8888-exec-10] c.s.s.r.core.handler.RateLimterHandler :\n 由于超过单位时间=100-允许的请求次数=5[触发限流]\n 2018-10-28 00:00:02.445 DEBUG 17364 --- [nio-8888-exec-2] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:02.445 DEBUG 17364 --- [nio-8888-exec-2] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]参数值为-limitTimes=5,limitTimeout=100\n 2018-10-28 00:00:02.446 DEBUG 17364 --- [nio-8888-exec-2] c.s.s.r.core.handler.RateLimterHandler :\n 由于超过单位时间=100-允许的请求次数=5[触发限流]\n 2018-10-28 00:00:02.628 DEBUG 17364 --- [nio-8888-exec-4] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]开始执行限流操作\n 2018-10-28 00:00:02.628 DEBUG 17364 --- [nio-8888-exec-4] c.s.s.r.core.handler.RateLimterHandler :\n RateLimterHandler[分布式限流处理器]参数值为-limitTimes=5,limitTimeout=100\n 2018-10-28 00:00:02.629 DEBUG 17364 --- [nio-8888-exec-4] c.s.s.r.core.handler.RateLimterHandler :\n 由于超过单位时间=100-允许的请求次数=5[触发限流]\n\n根据日志能够看到，正常请求5次后，返回限流触发，说明我们的逻辑生效，对前端而言也是可以看到false标记，表明我们的Lua脚本限流逻辑是正确的，这里具体返回什么标记需要调用方进行明确的定义。\n\n## 总结\n我们通过Redis的incr及expire功能特性，开发定义了一套基于注解的分布式限流操作，核心逻辑基于Lua保证了原子性。达到了很好的限流的目的，生产上，可以基于该特点进行定制自己的限流组件，当然你可以参考本文的代码，相信你写的一定比我的demo更好！\n"
},
{
"path": "pom.xml",
"content": "\n\n 4.0.0\n\n com.snowalker\n shield-ratelimiter\n 1.0-SNAPSHOT\n \n shield-ratelimiter-core\n shleld-ratelimter-demo\n \n pom\n\n\n"
},
{
"path": "shield-ratelimiter-core/pom.xml",
"content": "\n\n \n shield-ratelimiter\n com.snowalker\n 1.0-SNAPSHOT\n \n 4.0.0\n\n shield-ratelimiter-core\n shield-ratelimiter-core\n com.snowalker\n 1.0-SNAPSHOT\n\n \n 1.8\n 1.8\n 1.8\n 1.4.2.RELEASE\n \n\n \n \n org.springframework.boot\n spring-boot-starter\n ${spring.boot.version}\n \n\n \n \n org.springframework.boot\n spring-boot-starter-data-redis\n ${spring.boot.version}\n \n\n\n \n org.springframework.boot\n spring-boot-starter-aop\n ${spring.boot.version}\n \n\n \n \n org.apache.commons\n commons-lang3\n 3.7\n \n\n \n \n com.google.guava\n guava\n 26.0-jre\n \n\n \n junit\n junit\n 4.12\n test\n \n\n \n \n com.fasterxml.jackson.core\n jackson-databind\n 2.9.6\n \n\n \n\n"
},
{
"path": "shield-ratelimiter-core/src/main/java/com/snowalker/shield/ratelimiter/core/annotation/RateLimiter.java",
"content": "package com.snowalker.shield.ratelimiter.core.annotation;\n\nimport java.lang.annotation.*;\n\n/**\n * @author snowalker\n * @version 1.0\n * @date 2018/10/27 1:25\n * @className RateLimiter\n * @desc 限流注解\n */\n@Target(ElementType.METHOD)\n@Retention(RetentionPolicy.RUNTIME)\n@Documented\npublic @interface RateLimiter {\n\n /**\n * 限流key\n * @return\n */\n String key() default \"rate:limiter\";\n /**\n * 单位时间限制通过请求数\n * @return\n */\n long limit() default 10;\n\n /**\n * 过期时间，单位秒\n * @return\n */\n long expire() default 1;\n\n /**\n * 限流提示语\n * @return\n */\n String message() default \"false\";\n}\n"
},
{
"path": "shield-ratelimiter-core/src/main/java/com/snowalker/shield/ratelimiter/core/handler/RateLimterHandler.java",
"content": "package com.snowalker.shield.ratelimiter.core.handler;\n\nimport com.google.common.base.Preconditions;\nimport com.snowalker.shield.ratelimiter.core.annotation.RateLimiter;\nimport org.apache.commons.lang3.StringUtils;\nimport org.aspectj.lang.ProceedingJoinPoint;\nimport org.aspectj.lang.Signature;\nimport org.aspectj.lang.annotation.Around;\nimport org.aspectj.lang.annotation.Aspect;\nimport org.aspectj.lang.annotation.Pointcut;\nimport org.aspectj.lang.reflect.MethodSignature;\nimport org.slf4j.Logger;\nimport org.slf4j.LoggerFactory;\nimport org.springframework.beans.factory.annotation.Autowired;\nimport org.springframework.core.io.ClassPathResource;\nimport org.springframework.data.redis.core.RedisTemplate;\nimport org.springframework.data.redis.core.script.DefaultRedisScript;\nimport org.springframework.scripting.support.ResourceScriptSource;\nimport org.springframework.stereotype.Component;\n\nimport javax.annotation.PostConstruct;\nimport java.util.ArrayList;\nimport java.util.List;\n\n/**\n * @author snowalker\n * @version 1.0\n * @date 2018/10/27 1:17\n * @className RateLimterHandler\n * @desc 限流处理器\n */\n@Aspect\n@Component\npublic class RateLimterHandler {\n\n private static final Logger LOGGER = LoggerFactory.getLogger(RateLimterHandler.class);\n\n @Autowired\n RedisTemplate redisTemplate;\n\n private DefaultRedisScript getRedisScript;\n\n @PostConstruct\n public void init() {\n getRedisScript = new DefaultRedisScript<>();\n getRedisScript.setResultType(Long.class);\n getRedisScript.setScriptSource(new ResourceScriptSource(new ClassPathResource(\"rateLimter.lua\")));\n LOGGER.info(\"RateLimterHandler[分布式限流处理器]脚本加载完成\");\n }\n\n @Pointcut(\"@annotation(com.snowalker.shield.ratelimiter.core.annotation.RateLimiter)\")\n public void rateLimiter() {}\n\n @Around(\"@annotation(rateLimiter)\")\n public Object around(ProceedingJoinPoint proceedingJoinPoint, RateLimiter rateLimiter) throws Throwable {\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"RateLimterHandler[分布式限流处理器]开始执行限流操作\");\n }\n Signature signature = proceedingJoinPoint.getSignature();\n if (!(signature instanceof MethodSignature)) {\n throw new IllegalArgumentException(\"the Annotation @RateLimter must used on method!\");\n }\n /**\n * 获取注解参数\n */\n // 限流模块key\n String limitKey = rateLimiter.key();\n Preconditions.checkNotNull(limitKey);\n // 限流阈值\n long limitTimes = rateLimiter.limit();\n // 限流超时时间\n long expireTime = rateLimiter.expire();\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"RateLimterHandler[分布式限流处理器]参数值为-limitTimes={},limitTimeout={}\", limitTimes, expireTime);\n }\n // 限流提示语\n String message = rateLimiter.message();\n if (StringUtils.isBlank(message)) {\n message = \"false\";\n }\n /**\n * 执行Lua脚本\n */\n List keyList = new ArrayList();\n // 设置key值为注解中的值\n keyList.add(limitKey);\n /**\n * 调用脚本并执行\n */\n Long result = (Long) redisTemplate.execute(getRedisScript, keyList, expireTime, limitTimes);\n if (result == 0) {\n String msg = \"由于超过单位时间=\" + expireTime + \"-允许的请求次数=\" + limitTimes + \"[触发限流]\";\n LOGGER.debug(msg);\n return message;\n }\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"RateLimterHandler[分布式限流处理器]限流执行结果-result={},请求[正常]响应\", result);\n }\n return proceedingJoinPoint.proceed();\n }\n}\n"
},
{
"path": "shield-ratelimiter-core/src/main/java/com/snowalker/shield/ratelimiter/core/redis/RedisCacheConfig.java",
"content": "package com.snowalker.shield.ratelimiter.core.redis;\nimport com.fasterxml.jackson.annotation.JsonAutoDetect;\nimport com.fasterxml.jackson.annotation.PropertyAccessor;\nimport com.fasterxml.jackson.databind.ObjectMapper;\nimport org.slf4j.Logger;\nimport org.slf4j.LoggerFactory;\nimport org.springframework.cache.CacheManager;\nimport org.springframework.cache.annotation.EnableCaching;\nimport org.springframework.context.annotation.Bean;\nimport org.springframework.context.annotation.Configuration;\nimport org.springframework.data.redis.cache.RedisCacheManager;\nimport org.springframework.data.redis.connection.RedisConnectionFactory;\nimport org.springframework.data.redis.core.RedisTemplate;\nimport org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;\nimport org.springframework.data.redis.serializer.StringRedisSerializer;\n\n/**\n * @author snowalker\n * @version 1.0\n * @date 2018/10/27 1:15\n * @className RedisCacheConfig\n * @desc Redis配置\n */\n@Configuration\n@EnableCaching\npublic class RedisCacheConfig {\n\n private static final Logger LOGGER = LoggerFactory.getLogger(RedisCacheConfig.class);\n\n @Bean\n public CacheManager cacheManager(RedisTemplate redisTemplate) {\n CacheManager cacheManager = new RedisCacheManager(redisTemplate);\n if (LOGGER.isDebugEnabled()) {\n LOGGER.debug(\"Springboot Redis cacheManager 加载完成\");\n }\n return cacheManager;\n }\n\n @Bean\n public RedisTemplate redisTemplate(RedisConnectionFactory factory) {\n RedisTemplate template = new RedisTemplate<>();\n template.setConnectionFactory(factory);\n\n //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）\n Jackson2JsonRedisSerializer serializer = new Jackson2JsonRedisSerializer(Object.class);\n\n ObjectMapper mapper = new ObjectMapper();\n mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);\n mapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);\n serializer.setObjectMapper(mapper);\n\n template.setValueSerializer(serializer);\n //使用StringRedisSerializer来序列化和反序列化redis的key值\n template.setKeySerializer(new StringRedisSerializer());\n template.afterPropertiesSet();\n LOGGER.info(\"Springboot RedisTemplate 加载完成\");\n return template;\n }\n}"
},
{
"path": "shield-ratelimiter-core/src/main/resources/application.properties",
"content": "#redis\nspring.redis.hostName=127.0.0.1\nspring.redis.host=127.0.0.1\nspring.redis.port=6379\nspring.redis.pool.maxActive=8\nspring.redis.pool.maxWait=-1\nspring.redis.pool.maxIdle=8\nspring.redis.pool.minIdle=0\nspring.redis.timeout=10000\nspring.redis.password=\n\nlogging.path=D:/log/maccbasecore\n"
},
{
"path": "shield-ratelimiter-core/src/main/resources/rateLimter.lua",
"content": "--获取KEY\nlocal key1 = KEYS[1]\n\nlocal val = redis.call('incr', key1)\nlocal ttl = redis.call('ttl', key1)\n\n--获取ARGV内的参数并打印\nlocal expire = ARGV[1]\nlocal times = ARGV[2]\n\nredis.log(redis.LOG_DEBUG,tostring(times))\nredis.log(redis.LOG_DEBUG,tostring(expire))\n\nredis.log(redis.LOG_NOTICE, \"incr \"..key1..\" \"..val);\nif val == 1 then\n redis.call('expire', key1, tonumber(expire))\nelse\n if ttl == -1 then\n redis.call('expire', key1, tonumber(expire))\n end\nend\n\nif val > tonumber(times) then\n return 0\nend\n\nreturn 1"
},
{
"path": "shield-ratelimiter-core/target/classes/application.properties",
"content": "#redis\nspring.redis.hostName=127.0.0.1\nspring.redis.host=127.0.0.1\nspring.redis.port=6379\nspring.redis.pool.maxActive=8\nspring.redis.pool.maxWait=-1\nspring.redis.pool.maxIdle=8\nspring.redis.pool.minIdle=0\nspring.redis.timeout=10000\nspring.redis.password=\n\nlogging.path=D:/log/maccbasecore\n"
},
{
"path": "shield-ratelimiter-core/target/classes/rateLimter.lua",
"content": "--获取KEY\nlocal key1 = KEYS[1]\n\nlocal val = redis.call('incr', key1)\nlocal ttl = redis.call('ttl', key1)\n\n--获取ARGV内的参数并打印\nlocal expire = ARGV[1]\nlocal times = ARGV[2]\n\nredis.log(redis.LOG_DEBUG,tostring(times))\nredis.log(redis.LOG_DEBUG,tostring(expire))\n\nredis.log(redis.LOG_NOTICE, \"incr \"..key1..\" \"..val);\nif val == 1 then\n redis.call('expire', key1, tonumber(expire))\nelse\n if ttl == -1 then\n redis.call('expire', key1, tonumber(expire))\n end\nend\n\nif val > tonumber(times) then\n return 0\nend\n\nreturn 1"
},
{
"path": "shield-ratelimiter.iml",
"content": "\n"
},
{
"path": "shleld-ratelimter-demo/pom.xml",
"content": "\n\n 4.0.0\n\n shleld-ratelimter-demo\n\n \n org.springframework.boot\n spring-boot-starter-parent\n 1.4.2.RELEASE\n \n \n\n \n UTF-8\n UTF-8\n 1.8\n \n\n \n \n org.springframework.boot\n spring-boot-starter-web\n \n\n \n org.springframework.boot\n spring-boot-starter-test\n test\n \n\n \n shield-ratelimiter-core\n com.snowalker\n 1.0-SNAPSHOT\n \n \n"
},
{
"path": "shleld-ratelimter-demo/src/main/java/com/snowalker/ratelimiter/demo/Application.java",
"content": "package com.snowalker.ratelimiter.demo;\n\nimport org.slf4j.Logger;\nimport org.slf4j.LoggerFactory;\nimport org.springframework.boot.SpringApplication;\nimport org.springframework.boot.autoconfigure.SpringBootApplication;\nimport org.springframework.context.ConfigurableApplicationContext;\nimport org.springframework.context.annotation.ComponentScan;\nimport org.springframework.scheduling.annotation.EnableScheduling;\n\n@EnableScheduling\n@SpringBootApplication\n@ComponentScan(basePackages = {\"com.snowalker\"})\npublic class Application {\n\n\tprivate static final Logger LOGGER = LoggerFactory.getLogger(Application.class);\n\n\n\tpublic static void main(String[] args) throws Exception {\n\t\tConfigurableApplicationContext context = SpringApplication.run(Application.class, args);\n\t}\n\n\n}\n"
},
{
"path": "shleld-ratelimter-demo/src/main/java/com/snowalker/ratelimiter/demo/controller/TestController.java",
"content": "package com.snowalker.ratelimiter.demo.controller;\n\nimport com.snowalker.shield.ratelimiter.core.annotation.RateLimiter;\nimport org.apache.catalina.servlet4preview.http.HttpServletRequest;\nimport org.slf4j.Logger;\nimport org.slf4j.LoggerFactory;\nimport org.springframework.stereotype.Controller;\nimport org.springframework.web.bind.annotation.RequestMapping;\nimport org.springframework.web.bind.annotation.ResponseBody;\n\n/**\n * @author snowalker\n * @version 1.0\n * @date 2018/10/27 2:13\n * @className\n * @desc\n */\n@Controller\npublic class TestController {\n\n private static final Logger LOGGER = LoggerFactory.getLogger(TestController.class);\n\n private static final String MESSAGE = \"{\\\"code\\\":\\\"400\\\",\\\"msg\\\":\\\"FAIL\\\",\\\"desc\\\":\\\"触发限流\\\"}\";\n\n @ResponseBody\n @RequestMapping(\"ratelimiter\")\n @RateLimiter(key = \"ratedemo:1.0.0\", limit = 5, expire = 10, message = MESSAGE)\n public String sendPayment(HttpServletRequest request) throws Exception {\n\n return \"正常请求\";\n }\n\n @ResponseBody\n @RequestMapping(\"ratelimiter1\")\n @RateLimiter(key = \"ratedemo:1.0.1\", limit = 5, expire = 10, message = MESSAGE)\n public String sendPayment1(HttpServletRequest request) throws Exception {\n\n return \"正常请求\";\n }\n}\n"
},
{
"path": "shleld-ratelimter-demo/src/main/resources/application.properties",
"content": "#redis\nspring.redis.hostName=127.0.0.1\nspring.redis.host=127.0.0.1\nspring.redis.port=6379\nspring.redis.pool.maxActive=8\nspring.redis.pool.maxWait=-1\nspring.redis.pool.maxIdle=8\nspring.redis.pool.minIdle=0\nspring.redis.timeout=10000\nspring.redis.password=\n\nlogging.path=D:/log/ratelimiter\nlogging.level.com.snowalker=DEBUG\nserver.port=8888\n"
},
{
"path": "shleld-ratelimter-demo/target/classes/application.properties",
"content": "#redis\nspring.redis.hostName=127.0.0.1\nspring.redis.host=127.0.0.1\nspring.redis.port=6379\nspring.redis.pool.maxActive=8\nspring.redis.pool.maxWait=-1\nspring.redis.pool.maxIdle=8\nspring.redis.pool.minIdle=0\nspring.redis.timeout=10000\nspring.redis.password=\n\nlogging.path=D:/log/ratelimiter\nlogging.level.com.snowalker=DEBUG\nserver.port=8888\n"
}
]