Spring Boot 添加redis锁

zmisgod 发布于 2019-1-23 13:23:10 阅读 97 评论 0

亲测可用。首先创建下面的类

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;

/**
 * Redis distributed lock implementation.
 *
 * @author meow
 */
public class RedisLock {

    private static Logger logger = LoggerFactory.getLogger(RedisLock.class);

    private RedisTemplate redisTemplate;

    private static final int DEFAULT_ACQUIRY_RESOLUTION_MILLIS = 100;

    /**
     * Lock key path.
     */
    private String lockKey;

    /**
     * 锁超时时间,防止线程在入锁以后,无限的执行等待
     */
    private int expireMsecs = 60 * 1000;

    /**
     * 锁等待时间,防止线程饥饿
     */
    private int timeoutMsecs = 10 * 1000;

    private volatile boolean locked = false;

    /**
     * Detailed constructor with default acquire timeout 10000 msecs and lock expiration of 60000 msecs.
     *
     * @param lockKey lock key (ex. account:1, ...)
     */
    public RedisLock(RedisTemplate redisTemplate, String lockKey) {
        this.redisTemplate = redisTemplate;
        this.lockKey = lockKey + "_lock";
    }

    /**
     * Detailed constructor with default lock expiration of 60000 msecs.
     *
     */
    public RedisLock(RedisTemplate redisTemplate, String lockKey, int timeoutMsecs) {
        this(redisTemplate, lockKey);
        this.timeoutMsecs = timeoutMsecs;
    }

    /**
     * Detailed constructor.
     *
     */
    public RedisLock(RedisTemplate redisTemplate, String lockKey, int timeoutMsecs, int expireMsecs) {
        this(redisTemplate, lockKey, timeoutMsecs);
        this.expireMsecs = expireMsecs;
    }

    /**
     * @return lock key
     */
    public String getLockKey() {
        return lockKey;
    }

    private String get(final String key) {
        Object obj = null;
        try {
            obj = redisTemplate.execute(new RedisCallback<Object>() {
                @Override
                public Object doInRedis(RedisConnection connection) throws DataAccessException {
                    StringRedisSerializer serializer = new StringRedisSerializer();
                    byte[] data = connection.get(serializer.serialize(key));
                    connection.close();
                    if (data == null) {
                        return null;
                    }
                    return serializer.deserialize(data);
                }
            });
        } catch (Exception e) {
            logger.error("get redis error, key : {}", key);
        }
        return obj != null ? obj.toString() : null;
    }

    private boolean setNX(final String key, final String value) {
        Object obj = null;
        try {
            obj = redisTemplate.execute(new RedisCallback<Object>() {
                @Override
                public Object doInRedis(RedisConnection connection) throws DataAccessException {
                    StringRedisSerializer serializer = new StringRedisSerializer();
                    Boolean success = connection.setNX(serializer.serialize(key), serializer.serialize(value));
                    connection.close();
                    return success;
                }
            });
        } catch (Exception e) {
            logger.error("setNX redis error, key : {}", key);
        }
        return obj != null ? (Boolean) obj : false;
    }

    private String getSet(final String key, final String value) {
        Object obj = null;
        try {
            obj = redisTemplate.execute(new RedisCallback<Object>() {
                @Override
                public Object doInRedis(RedisConnection connection) throws DataAccessException {
                    StringRedisSerializer serializer = new StringRedisSerializer();
                    byte[] ret = connection.getSet(serializer.serialize(key), serializer.serialize(value));
                    connection.close();
                    return serializer.deserialize(ret);
                }
            });
        } catch (Exception e) {
            logger.error("setNX redis error, key : {}", key);
        }
        return obj != null ? (String) obj : null;
    }

    /**
     * 获得 lock.
     * 实现思路: 主要是使用了redis 的setnx命令,缓存了锁.
     * reids缓存的key是锁的key,所有的共享, value是锁的到期时间(注意:这里把过期时间放在value了,没有时间上设置其超时时间)
     * 执行过程:
     * 1.通过setnx尝试设置某个key的值,成功(当前没有这个锁)则返回,成功获得锁
     * 2.锁已经存在则获取锁的到期时间,和当前时间比较,超时的话,则设置新的值
     *
     * @return true if lock is acquired, false acquire timeouted
     * @throws InterruptedException in case of thread interruption
     */
    public synchronized boolean lock() throws InterruptedException {
        int timeout = timeoutMsecs;
        while (timeout >= 0) {
            long expires = System.currentTimeMillis() + expireMsecs + 1;
            String expiresStr = String.valueOf(expires); //锁到期时间
            if (this.setNX(lockKey, expiresStr)) {
                // lock acquired
                locked = true;
                return true;
            }

            String currentValueStr = this.get(lockKey); //redis里的时间
            if (currentValueStr != null && Long.parseLong(currentValueStr) < System.currentTimeMillis()) {
                //判断是否为空,不为空的情况下,如果被其他线程设置了值,则第二个条件判断是过不去的
                // lock is expired

                String oldValueStr = this.getSet(lockKey, expiresStr);
                //获取上一个锁到期时间,并设置现在的锁到期时间,
                //只有一个线程才能获取上一个线上的设置时间,因为jedis.getSet是同步的
                if (oldValueStr != null && oldValueStr.equals(currentValueStr)) {
                    //防止误删(覆盖,因为key是相同的)了他人的锁——这里达不到效果,这里值会被覆盖,但是因为什么相差了很少的时间,所以可以接受

                    //[分布式的情况下]:如过这个时候,多个线程恰好都到了这里,但是只有一个线程的设置值和当前值相同,他才有权利获取锁
                    // lock acquired
                    locked = true;
                    return true;
                }
            }
            timeout -= DEFAULT_ACQUIRY_RESOLUTION_MILLIS;

            /*
                延迟100 毫秒,  这里使用随机时间可能会好一点,可以防止饥饿进程的出现,即,当同时到达多个进程,
                只会有一个进程获得锁,其他的都用同样的频率进行尝试,后面有来了一些进行,也以同样的频率申请锁,这将可能导致前面来的锁得不到满足.
                使用随机的等待时间可以一定程度上保证公平性
             */
            Thread.sleep(DEFAULT_ACQUIRY_RESOLUTION_MILLIS);

        }
        return false;
    }


    /**
     * Acqurired lock release.
     */
    public synchronized void unlock() {
        if (locked) {
            redisTemplate.delete(lockKey);
            locked = false;
        }
    }

}

使用示例,例如ShowRedisLockServiceImpl.java

private final RedisTemplate<String, Object> redisTemplate;

//将redis template注入到当前service类中
@Autowired
public ShowRedisLockServiceImpl(RedisTemplate<String, Object> redisTemplate) throws Exception {
    this.redisTemplate = redisTemplate;
}

finial static String RedisLockKey = "redisLockKey";
finial static int RedisLockTimeout = 1;
finial static int RedisLockExpire = 1;

private void doHandle()
{
    //处理逻辑
}

public boolean redisLockExample()
{
    RedisLock lock = new RedisLock(redisTemplate, RedisLockKey, RedisLockTimeout, RedisLockExpire);
    try {
        if(lock.lock()) {
            //需要加锁的代码
            this.doHandle();
        }
    } catch (InterruptedException e) {
        e.printStackTrace();
    }finally {
        //为了让分布式锁的算法更稳键些,持有锁的客户端在解锁之前应该再检查一次自己的锁是否已经超时,再去做DEL操作,因为可能客户端因为某个耗时的操作而挂起,
        //操作完的时候锁因为超时已经被别人获得,这时就不必解锁了。 ————这里没有做
        lock.unlock();
    }
    return true;
}