# Distributed-Kit **Repository Path**: chinesedevelopermonkey/Distributed-Kit ## Basic Information - **Project Name**: Distributed-Kit - **Description**: Distributed lock implementation using Redis and Zookeeper.基于redis和zookeeper分布式工具集-包括:分布式锁实现,分布式速率限制器,分布式序列等 - **Primary Language**: Java - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-05-26 - **Last Updated**: 2021-05-26 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Distributed-Kit 基于redis和zookeeper分布式工具集-包括:分布式锁实现,分布式速率限制器,分布式ID生成器等. ## 使用 ### maven: 需先编译安装到本地仓库或者本地私服 。

    <dependency>
      <groupId>dance</groupId>
      <artifactId>Distributed-Kit</artifactId>
      <version>0.0.1</version>
    </dependency>
##基于Redis实现的分布式锁(可重入) ~~~ java public static void main(String[] args){ JedisPool jedisPool=new JedisPool("127.0.0.1",6379);//实际应用时可通过spring注入 final RedisDistributedLockTemplate template=new RedisDistributedLockTemplate(jedisPool);//本类线程安全,可通过spring注入 template.execute("订单流水号", 5000, new Callback() {//获取锁超时时间为5秒 @Override public Object onGetLock() throws InterruptedException { //TODO 获得锁后要做的事 return null; } @Override public Object onTimeout() throws InterruptedException { //TODO 获得锁超时后要做的事 return null; } }); } ~~~ ~~~ java public static void main(String[] args) throws Exception { JedisPool jedisPool=new JedisPool("127.0.0.1",6379);//实际应用时可通过spring注入 RedisReentrantLock lock=new RedisReentrantLock(jedisPool,"订单流水号"); try { if (lock.tryLock(5000L, TimeUnit.MILLISECONDS)) {//获取锁超时时间为5秒 //TODO 获得锁后要做的事 }else{ //TODO 获得锁超时后要做的事 } }finally { lock.unlock(); } } ~~~ [测试本实现的可靠性见测试用例](https://github.com/yujiasun/Distributed-Kit/blob/master/src/test/java/com/distributed/lock/redis/RedisReentrantLockTemplateTest.java) ##基于Zookeeper实现的分布式锁( 可重入 ) ~~~ java public static void main(String[] args){ RetryPolicy retryPolicy = new ExponentialBackoffRetry(1000, 3); CuratorFramework client = CuratorFrameworkFactory.newClient("127.0.0.1:2181", retryPolicy); client.start(); final ZkDistributedLockTemplate template=new ZkDistributedLockTemplate(client);//本类多线程安全,可通过spring注入 template.execute("订单流水号", 5000, new Callback() {//获取锁超时时间为5秒 @Override public Object onGetLock() throws InterruptedException { //TODO 获得锁后要做的事 return null; } @Override public Object onTimeout() throws InterruptedException { //TODO 获得锁超时后要做的事 return null; } }); } ~~~ [测试本实现的可靠性见测试用例](https://github.com/yujiasun/Distributed-Kit/blob/master/src/test/java/com/distributed/lock/zk/ZkReentrantLockTemplateTest.java) ##基于Redis实现的分布式速率限制器 限制的资源,可以是ip,用户id,订单id,手机号,等等. * 例如限制一个手机号每分钟只能发1条短信. * 例如限制一个手机号每10秒钟只能发起1次表单提交请求. * 例如限制一个ip地址每秒钟只能访问10次特定的资源. ~~~ java public class AccessSpeedLimitTest { @Test public void test1() throws InterruptedException { JedisPool jp=new JedisPool("127.0.0.1",6379); AccessSpeedLimit accessSpeedLimit=new AccessSpeedLimit(jp); SimpleDateFormat sdf=new SimpleDateFormat(" mm:ss"); while(true){ //10.0.0.1这个ip每1秒钟最多访问5次if块内代码 if(accessSpeedLimit.tryAccess("10.0.0.1", 1,5)){ System.out.println("yes"+sdf.format(new Date())); }else{ System.out.println("no"+sdf.format(new Date())); } Thread.sleep(100); } } @Test public void test2() throws InterruptedException { JedisPool jp=new JedisPool("127.0.0.1",6379); final RedisDistributedLockTemplate template=new RedisDistributedLockTemplate(jp); LimitRule limitRule=new LimitRule(); limitRule.setSeconds(1); limitRule.setLimitCount(5); limitRule.setLockCount(7); limitRule.setLockTime(2); AccessSpeedLimit accessSpeedLimit=new AccessSpeedLimit(jp); SimpleDateFormat sdf=new SimpleDateFormat(" mm:ss"); while(true){ //10.0.0.1这个ip每1秒钟最多访问5次if块内代码.1秒超过10次后,锁定2秒,2秒内无法访问. if(accessSpeedLimit.tryAccess("10.0.0.1",limitRule)){ System.out.println("yes"+sdf.format(new Date())); }else{ System.out.println("no"+sdf.format(new Date())); } Thread.sleep(100); } } } ~~~ #技术交流: QQ: 4115291 Mail: sunyujia.d@gmail.com #git study