Redis过期性能提升之多线程优化(redis过期 多线程)

Redis过期性能提升之多线程优化

Redis是一种存储和访问数据的高性能缓存系统,其过期机制是被广泛使用的功能之一。但是随着数据量的增加,Redis过期机制在高并发情况下的性能瓶颈逐渐显现。在多线程的帮助下,可以优化Redis的过期机制,提升其高并发场景下的性能表现。

多线程的实现方式有很多,这里介绍一种基于Java的多线程过期实现方案。我们需要利用Redis中的Keyspace Notifications功能,实现对Redis缓存过期事件的监听。Java代码如下:

“`java

public class RedisKeyExpireListener extends JedisPubSub {

private ThreadLocal jedisPoolThreadLocal = new ThreadLocal();

private BlockingQueue cacheObjectEventQueue = new LinkedBlockingQueue();

@Override

public void onPSubscribe(String pattern, int subscribedChannels) {

// 订阅成功回调

}

@Override

public void onPMessage(String pattern, String channel, String message) {

String[] messageArr = message.split(“:”);

String cacheKey = messageArr[0];

String expired = messageArr[1];

Jedis jedis = jedisPoolThreadLocal.get().getResource();

if (expired.equals(“expired”)) {

cacheObjectEventQueue.offer(new CacheObjectEvent(cacheKey, jedis));

}

}

public static void mn(String[] args) {

JedisPool jedisPool = new JedisPool(“localhost”, 6379);

jedisPool.getResource().psubscribe(new RedisKeyExpireListener(), “__keyevent@0__:expired”);

}

}


上述代码中,我们首先继承了Redis的JedisPubSub类,实现了针对Redis的监听功能。在监听到Redis缓存数据过期时,我们将会触发缓存数据的事件,将其加入到阻塞队列中。当我们缓存数据需要进行处理时,可以从这个阻塞队列中取出事件进行处理。

接下来,我们需要实现一个缓存数据过期的处理类,该类可以利用多线程进行优化,提升系统的性能表现。Java代码如下:

```java
public class CacheObjectEventThread implements Runnable {

private BlockingQueue cacheObjectEventQueue;
private ExecutorService executorService;

public CacheObjectEventThread(BlockingQueue cacheObjectEventQueue, int threadNum) {
this.cacheObjectEventQueue = cacheObjectEventQueue;
this.executorService = Executors.newFixedThreadPool(threadNum);
}

@Override
public void run() {
while (true) {
CacheObjectEvent cacheObjectEvent = null;
try {
cacheObjectEvent = cacheObjectEventQueue.take();
} catch (InterruptedException e) {
e.printStackTrace();
}
executorService.execute(() -> {
String cacheKey = cacheObjectEvent.getCacheKey();
Jedis jedis = cacheObjectEvent.getJedis();
jedis.del(cacheKey);
jedis.close();
});
}
}

public static void mn(String[] args) {
CacheObjectEventThread cacheObjectEventThread = new CacheObjectEventThread(new LinkedBlockingQueue(), 10);
new Thread(cacheObjectEventThread).start();
}
}

上述代码中,我们实现了一个基于Java的多线程缓存数据过期类,该类采用阻塞队列的方式存储监听事件,并且可以采用多线程的方式进行事件的处理。通过定义一个线程池,可以按需创建多个线程来处理事件,从而提高并行处理能力。

我们需要将两个类结合在一起,完整地实现基于Java的多线程Redis过期机制优化。Java代码如下:

“`java

public class RedisKeyExpireListener extends JedisPubSub {

private ThreadLocal jedisPoolThreadLocal = new ThreadLocal();

private BlockingQueue cacheObjectEventQueue = new LinkedBlockingQueue();

@Override

public void onPSubscribe(String pattern, int subscribedChannels) {

// 订阅成功回调

}

@Override

public void onPMessage(String pattern, String channel, String message) {

String[] messageArr = message.split(“:”);

String cacheKey = messageArr[0];

String expired = messageArr[1];

Jedis jedis = jedisPoolThreadLocal.get().getResource();

if (expired.equals(“expired”)) {

cacheObjectEventQueue.offer(new CacheObjectEvent(cacheKey, jedis));

}

}

public static void mn(String[] args) {

JedisPool jedisPool = new JedisPool(“localhost”, 6379);

jedisPool.getResource().psubscribe(new RedisKeyExpireListener(), “__keyevent@0__:expired”);

CacheObjectEventThread cacheObjectEventThread = new CacheObjectEventThread(new LinkedBlockingQueue(), 10);

new Thread(cacheObjectEventThread).start();

}

}

public class CacheObjectEvent {

private String cacheKey;

private Jedis jedis;

public CacheObjectEvent(String cacheKey, Jedis jedis) {

this.cacheKey = cacheKey;

this.jedis = jedis;

}

public String getCacheKey() {

return cacheKey;

}

public Jedis getJedis() {

return jedis;

}

}

public class CacheObjectEventThread implements Runnable {

private BlockingQueue cacheObjectEventQueue;

private ExecutorService executorService;

public CacheObjectEventThread(BlockingQueue cacheObjectEventQueue, int threadNum) {

this.cacheObjectEventQueue = cacheObjectEventQueue;

this.executorService = Executors.newFixedThreadPool(threadNum);

}

@Override

public void run() {

while (true) {

CacheObjectEvent cacheObjectEvent = null;

try {

cacheObjectEvent = cacheObjectEventQueue.take();

} catch (InterruptedException e) {

e.printStackTrace();

}

executorService.execute(() -> {

String cacheKey = cacheObjectEvent.getCacheKey();

Jedis jedis = cacheObjectEvent.getJedis();

jedis.del(cacheKey);

jedis.close();

});

}

}

public static void mn(String[] args) {

CacheObjectEventThread cacheObjectEventThread = new CacheObjectEventThread(new LinkedBlockingQueue(), 10);

new Thread(cacheObjectEventThread).start();

}

}


多线程在Redis过期处理中有很大的优势,可以通过优化系统的芯片性能,提高系统的处理性能。同时,在国内,通过多线程以及其他技术的优化,也可以实现高速的缓存系统,有效提高其竞争力。

数据运维技术 » Redis过期性能提升之多线程优化(redis过期 多线程)