面试总是会被问到有没有用过分布式锁、redis 锁,大部分读者平时很少接触到,所以只能很无奈的回答 “没有”。本文通过 Spring Boot 整合 redisson 来实现分布式锁,并结合 demo 测试结果。
<!--redis--> <dependency> <groupId> org.springframework.boot </groupId> <artifactId> spring-boot-starter-data-redis </artifactId> </dependency> <!--redisson--> <dependency> <groupId> org.redisson </groupId> <artifactId> redisson-spring-boot-starter </artifactId> <version> 3.10.6 </version> </dependency>
配置信息
spring: # redis redis: host: 47.103 . 5.190 port: 6379 jedis: pool: # 连接池最大连接数(使用负值表示没有限制) max-active: 100 # 连接池中的最小空闲连接 max-idle: 10 # 连接池最大阻塞等待时间(使用负值表示没有限制) max-wait: -1 # 连接超时时间(毫秒) timeout: 5000 #默认是索引为0的数据库 database: 0
/** * redisson 配置,下面是单节点配置: * * @author gourd */ @Configuration publicclass RedissonConfig { @Value ( "${spring.redis.host}" ) private String host; @Value ( "${spring.redis.port}" ) private String port; @Value ( "${spring.redis.password:}" ) private String password; @Bean public RedissonClient redissonClient() { Config config = new Config (); //单节点 config.useSingleServer().setAddress( "redis://" + host + ":" + port); if ( StringUtils .isEmpty(password)) { config.useSingleServer().setPassword( null ); } else { config.useSingleServer().setPassword(password); } //添加主从配置 // config.useMasterSlaveServers().setMasterAddress("").setPassword("").addSlaveAddress(new String[]{"",""}); // 集群模式配置 setScanInterval()扫描间隔时间,单位是毫秒, //可以用"rediss://"来启用SSL连接 // config.useClusterServers().setScanInterval(2000).addNodeAddress("redis://127.0.0.1:7000", "redis://127.0.0.1:7001").addNodeAddress("redis://127.0.0.1:7002"); return Redisson .create(config); } }
/** * redis分布式锁帮助类 * * @author gourd * */ publicclass RedisLockUtil { privatestatic DistributedLocker distributedLocker = SpringContextHolder .getBean( "distributedLocker" , DistributedLocker . class ); /** * 加锁 * @param lockKey * @return */ publicstatic RLock lock ( String lockKey) { return distributedLocker. lock (lockKey); } /** * 释放锁 * @param lockKey */ publicstaticvoid unlock( String lockKey) { distributedLocker.unlock(lockKey); } /** * 释放锁 * @param lock */ publicstaticvoid unlock( RLock lock ) { distributedLocker.unlock( lock ); } /** * 带超时的锁 * @param lockKey * @param timeout 超时时间 单位:秒 */ publicstatic RLock lock ( String lockKey, int timeout) { return distributedLocker. lock (lockKey, timeout); } /** * 带超时的锁 * @param lockKey * @param unit 时间单位 * @param timeout 超时时间 */ publicstatic RLock lock ( String lockKey, int timeout, TimeUnit unit ) { return distributedLocker. lock (lockKey, unit, timeout); } /** * 尝试获取锁 * @param lockKey * @param waitTime 最多等待时间 * @param leaseTime 上锁后自动释放锁时间 * @return */ publicstaticboolean tryLock( String lockKey, int waitTime, int leaseTime) { return distributedLocker.tryLock(lockKey, TimeUnit .SECONDS, waitTime, leaseTime); } /** * 尝试获取锁 * @param lockKey * @param unit 时间单位 * @param waitTime 最多等待时间 * @param leaseTime 上锁后自动释放锁时间 * @return */ publicstaticboolean tryLock( String lockKey, TimeUnit unit, int waitTime, int leaseTime) { return distributedLocker.tryLock(lockKey, unit, waitTime, leaseTime); } /** * 获取计数器 * * @param name * @return */ publicstatic RCountDownLatch getCountDownLatch( String name){ return distributedLocker.getCountDownLatch(name); } /** * 获取信号量 * * @param name * @return */ publicstatic RSemaphore getSemaphore( String name){ return distributedLocker.getSemaphore(name); } }
/** * @author gourd */ publicinterface DistributedLocker { RLock lock ( String lockKey); RLock lock ( String lockKey, int timeout); RLock lock ( String lockKey, TimeUnit unit, int timeout); boolean tryLock( String lockKey, TimeUnit unit, int waitTime, int leaseTime); void unlock( String lockKey); void unlock( RLock lock ); } /** * @author gourd */ @Component publicclass RedisDistributedLocker implements DistributedLocker { @Autowired private RedissonClient redissonClient; @Override public RLock lock ( String lockKey) { RLock lock = redissonClient.getLock(lockKey); lock . lock (); returnlock ; } @Override public RLock lock ( String lockKey, int leaseTime) { RLock lock = redissonClient.getLock(lockKey); lock . lock (leaseTime, TimeUnit .SECONDS); returnlock ; } @Override public RLock lock ( String lockKey, TimeUnit unit , int timeout) { RLock lock = redissonClient.getLock(lockKey); lock . lock (timeout, unit); returnlock ; } @Override publicboolean tryLock( String lockKey, TimeUnit unit, int waitTime, int leaseTime) { RLock lock = redissonClient.getLock(lockKey); try { returnlock .tryLock(waitTime, leaseTime, unit); } catch ( InterruptedException e) { returnfalse ; } } @Override publicvoid unlock( String lockKey) { RLock lock = redissonClient.getLock(lockKey); lock .unlock(); } @Override publicvoid unlock( RLock lock ) { lock .unlock(); } }
/** * redis分布式锁控制器 * @author gourd * @since 2019-07-30 */ @RestController @Api (tags = "redisson" , description = "redis分布式锁控制器" ) @RequestMapping ( "/redisson" ) @Slf4j publicclass RedissonLockController { /** * 锁测试共享变量 */ private Integer lockCount = 10 ; /** * 无锁测试共享变量 */ private Integer count = 10 ; /** * 模拟线程数 */ privatestaticint threadNum = 10 ; /** * 模拟并发测试加锁和不加锁 * @return */ @GetMapping ( "/test" ) @ApiOperation (value = "模拟并发测试加锁和不加锁" ) publicvoidlock (){ // 计数器 final CountDownLatch countDownLatch = new CountDownLatch ( 1 ); for ( int i = 0 ; i < threadNum; i ++) { MyRunnable myRunnable = new MyRunnable (countDownLatch); Thread myThread = new Thread (myRunnable); myThread.start(); } // 释放所有线程 countDownLatch.countDown(); } /** * 加锁测试 */ privatevoid testLockCount() { String lockKey = "lock-test" ; try { // 加锁,设置超时时间2s RedisLockUtil . lock (lockKey, 2 , TimeUnit .SECONDS); lockCount--; log.info( "lockCount值:" +lockCount); } catch ( Exception e){ log.error(e.getMessage(),e); } finally { // 释放锁 RedisLockUtil .unlock(lockKey); } } /** * 无锁测试 */ privatevoid testCount() { count--; log.info( "count值:" +count); } publicclass MyRunnable implements Runnable { /** * 计数器 */ final CountDownLatch countDownLatch; public MyRunnable ( CountDownLatch countDownLatch) { this .countDownLatch = countDownLatch; } @Override publicvoid run() { try { // 阻塞当前线程,直到计时器的值为0 countDownLatch. await (); } catch ( InterruptedException e) { log.error(e.getMessage(),e); } // 无锁操作 testCount(); // 加锁操作 testLockCount(); } } }
根据打印结果可以明显看到,未加锁的 count-- 后值是乱序的,而加锁后的结果和我们预期的一样。
由于条件问题没办法测试分布式的并发。只能模拟单服务的这种并发,但是原理是一样,希望对大家有帮助。如有错误之处,欢迎指正。
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