redis分布式锁

由 黄森明创建, 最后修改于2022-七月-11,
1.配置类
@Primary
@Bean("clusterObjectRedisTemplate")
public RedisTemplate<String, Object> objectTemplate(RedisConnectionFactory factory) {

RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(factory);
// key采用String的序列化方式
template.setKeySerializer(new StringRedisSerializer());
// value序列化方式采用jackson
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
template.afterPropertiesSet();
return template;

}
2.获取锁
2.1 lua脚本
private static final String TRY_LOCK_SCRIPT =
"if redis.call('SET',KEYS[1], ARGV[1], 'NX', 'EX', ARGV[2]) " +
"then " +
" return 1 " +
"else" +
" return 0 " +
"end";
2.2 获取锁
/**

• 获取锁，获取锁成功返回true，获取失败返回false

• @param lockKey 锁key值

• @param identify 锁value值，通过value对比释放锁

• @param expireMillisecond 过期时间

• @return
  /
  public Boolean lock(String lockKey, String identify, Long expireMillisecond) {
  try {
  RedisScript redisScript = new DefaultRedisScript<>(TRY_LOCK_SCRIPT, Long.class);
  Object result = objectTemplate.execute(redisScript, Collections.singletonList(lockKey), identify, expireMillisecond);
  if (LOCK_SUCCESS.equals(result)) {
  return Boolean.TRUE;
  }
  } catch (Exception e) {
  logger.error("获取锁失败，lockKey=[{}], identify=[{}]", lockKey, identify, e);
  }
  return Boolean.FALSE;
  }
  2.3 尝试多次获取锁
  /*

• 尝试获取锁

• @param key

• @param value

• @param expireMillisecond 过期时间

• @param waitMillisecond 等待锁的时间
  */
  public Boolean tryLock(String key,String value, Long expireMillisecond, Long waitMillisecond) {
  while(waitMillisecond > 0 ){
  Boolean lockFlag = lock(key, value, expireMillisecond);
  if(lockFlag) {
  return true;
  }else{
  try {
  Thread.sleep(INTERVAL_MILLISECOND);
  } catch (InterruptedException e) {
  logger.error("睡眠中断",e);
  }
  waitMillisecond = waitMillisecond - INTERVAL_MILLISECOND;
  }

  }
  return false;
  }
  3.释放锁
  3.1 lua脚本
  private static final String RELEASE_LOCK_SCRIPT =
  "if redis.call('get', KEYS[1]) == ARGV[1] " +
  "then " +
  " return redis.call('del', KEYS[1]) " +
  "else " +
  " return 0 " +
  "end";
  3.2 释放锁
  /**

• 释放锁，释放成功返回true，释放失败返回false

• @param lockKey 锁key值

• @param identify 判断锁value是否相同，相同才释放锁

• @return
  /
  public Boolean unLock(String lockKey, String identify) {
  try {
  RedisScript redisScript = new DefaultRedisScript<>(RELEASE_LOCK_SCRIPT, Long.class);
  Object result = objectTemplate.execute(redisScript, Collections.singletonList(lockKey), identify);
  if (LOCK_SUCCESS.equals(result)) {
  return Boolean.TRUE;
  }
  } catch (Exception e) {
  logger.error("解锁失败，lockKey=[{}], identify=[{}]", lockKey, identify, e);
  }
  return Boolean.FALSE;
  }
  4.获取锁测试
  @Test
  public void testLock() throws InterruptedException {
  int threadCount = 4;
  CountDownLatch countDownLatch = new CountDownLatch(threadCount);
  ExecutorService executorService = Executors.newFixedThreadPool(threadCount);
  int j = 1;
  for (int i = 0; i < threadCount; i++) {
  executorService.submit(() -> {
  String uuid = UUIDUtil.getUUID();
  Boolean lock = redisUtil.tryLock("a12312312312dadq", uuid, 8 * 1000L,6 1000L);
  if (lock) {
  try {
  log.error("线程[{}]正在执行中，uuid：{}", Thread.currentThread().getName(), uuid);
  try {
  Thread.sleep(7000);
  log.error("线程[{}]执行完毕", Thread.currentThread().getName());
  } catch (InterruptedException e) {
  e.printStackTrace();
  }
  } finally {
  boolean releaseResult = redisUtil.unLock("a12312312312dadq", uuid);
  log.error("线程[{}]释放redis，uuid：{}，释放状态：{}", Thread.currentThread().getName(), uuid, releaseResult);
  }
  } else {
  log.error("线程[{}]获取锁失败", Thread.currentThread().getName());
  }
  countDownLatch.countDown();
  }, j++);
  }
  countDownLatch.await();
  }

标签：return,String,redis,param,Boolean,identify,lockKey,分布式
来源： https://www.cnblogs.com/steven158/p/16491271.html