package com.common.redis.util;
|
|
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;
|
|
import java.util.Objects;
|
|
public class RedisLockUtil {
|
|
private final static Logger log = LoggerFactory.getLogger(RedisLockUtil.class);
|
|
|
private RedisTemplate<String, Object> redisTemplate;
|
|
public RedisLockUtil(RedisTemplate<String, Object> template) {
|
this.redisTemplate = template;
|
}
|
|
private static final int DEFAULT_ACQUIRY_RESOLUTION_MILLIS = 100;
|
|
|
/**
|
* 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;
|
|
|
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) {
|
log.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) {
|
log.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) {
|
log.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(String lockKey) 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(String lockKey) {
|
if (locked) {
|
redisTemplate.delete(lockKey);
|
locked = false;
|
}
|
}
|
|
public boolean lock(String lockKey, long lockExpireMils) {
|
return (Boolean) redisTemplate.execute((RedisCallback) connection -> {
|
long nowTime = System.currentTimeMillis();
|
Boolean acquire = connection.set(lockKey.getBytes(), String.valueOf(nowTime + lockExpireMils + 1).getBytes());
|
if (acquire) {
|
return Boolean.TRUE;
|
} else {
|
byte[] value = connection.get(lockKey.getBytes());
|
if (Objects.nonNull(value) && value.length > 0) {
|
long oldTime = Long.parseLong(new String(value));
|
if (oldTime < nowTime) {
|
//connection.getSet:返回这个key的旧值并设置新值。
|
byte[] oldValue = connection.getSet(lockKey.getBytes(), String.valueOf(nowTime + lockExpireMils + 1).getBytes());
|
//当key不存时会返回空,表示key不存在或者已在管道中使用
|
return oldValue == null ? false : Long.parseLong(new String(oldValue)) < nowTime;
|
}
|
}
|
}
|
return Boolean.FALSE;
|
});
|
}
|
|
}
|