分布式锁

分布式锁有排他锁和共享锁两种。

排他锁

排他锁(Exclusive Locks),又被称为写锁或独占锁,如果事务T1对数据对象O1加上排他锁,那么整个加锁期间,只允许事务T1对O1进行读取和更新操作,其他任何事务都不能进行读或写。

共享锁

共享锁(Shared Locks),又称读锁。如果事务T1对数据对象O1加上了共享锁,那么当前事务只能对O1进行读取操作,其他事务也只能对这个数据对象加共享锁,直到该数据对象上的所有共享锁都释放。

开发过程中,可以 curator 工具包封装的API帮助我们实现分布式锁。

curator 的几种锁方案 :

  • 1、InterProcessMutex:分布式可重入排它锁
  • 2、InterProcessSemaphoreMutex:分布式排它锁
  • 3、InterProcessReadWriteLock:分布式读写锁

案例:

引入:

<dependency>
      <groupId>org.apache.curator</groupId>
      <artifactId>curator-framework</artifactId>
      <version>4.0.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.curator</groupId>
      <artifactId>curator-recipes</artifactId>
      <version>4.0.0</version>
    </dependency>

 

案例:

import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.framework.recipes.locks.InterProcessMutex;
import org.apache.curator.retry.ExponentialBackoffRetry;

public class InterprocessLock {
    public static void main(String[] args)  {
        CuratorFramework zkClient = getZkClient();
        String lockPath = "/lock";
        InterProcessMutex lock = new InterProcessMutex(zkClient, lockPath);
        //模拟50个线程抢锁
        for (int i = 0; i < 50; i++) {
            new Thread(new TestThread(i, lock)).start();
        }
    }


    static class TestThread implements Runnable {
        private Integer threadFlag;
        private InterProcessMutex lock;

        public TestThread(Integer threadFlag, InterProcessMutex lock) {
            this.threadFlag = threadFlag;
            this.lock = lock;
        }

        @Override
        public void run() {
            try {
                lock.acquire();
                System.out.println("第"+threadFlag+"线程获取到了锁");
                //等到1秒后释放锁
                Thread.sleep(1000);
            } catch (Exception e) {
                e.printStackTrace();
            }finally {
                try {
                    lock.release();
                } catch (Exception e) {
                    e.printStackTrace();
                }
            }
        }
    }

    private static CuratorFramework getZkClient() {
        String zkServerAddress = "127.0.0.1:2181";
        ExponentialBackoffRetry retryPolicy = new ExponentialBackoffRetry(1000, 3, 5000);
        CuratorFramework zkClient = CuratorFrameworkFactory.builder()
                .connectString(zkServerAddress)
                .sessionTimeoutMs(5000)
                .connectionTimeoutMs(5000)
                .retryPolicy(retryPolicy)
                .build();
        zkClient.start();
        return zkClient;
    }
}

 

posted on 2022-06-29 09:52  让代码飞  阅读(56)  评论(0)    收藏  举报

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