


Detailed explanation of PHP redis distributed lock and task queue code examples
1. Redis implements distributed lock ideas
The idea is very simple. The main redis function used is setnx(), which should be used to implement distributed locks. The most important function of lock. The first is to store a certain task identification name (here Lock:order is used as an example of the identification name) as a key in redis, and set an expiration time for it. If there is another Lock:order request, first pass setnx() See if Lock:order can be inserted into redis. If it can, it will return true, if not, it will return false. Of course, my code will be more complicated than this idea, and I will explain it further when analyzing the code.
2. Redis implements task queue
The implementation here will use the above Redis distributed lock mechanism, mainly using Redis The data structure of an ordered set. For example, when joining the queue, use the add() function of zset to join the queue, and when leaving the queue, you can use the getScore() function of zset. In addition, several tasks at the top can be popped up.
3. Code analysis
# (1) Let’s first analyze the code implementation of Redis distributed lock
(1) In order to avoid the lock being unable to be released due to special reasons, after the lock is successfully locked, the lock will be given a survival time (through parameter setting of the lock method or using the default value ). If the survival time is exceeded, The lock will be released automatically. The lock lifetime is short by default (seconds). Therefore, if you need to lock for a long time, you can use the expire method to extend the lock lifetime to an appropriate time, such as in a loop.
(2) System-level locks. When the process crashes for any reason, the operating system will recycle the locks by itself, so there will be no resource loss, but distributed locks are not used. If the one-time setting is very long, Time, once a process crash or other exception occurs due to various reasons and unlock is not called, the lock will become a garbage lock in the remaining time, causing other processes or processes to be unable to enter the locked area after restart.
Let’s look at the locking implementation code first: two main parameters are needed here, one is $timeout, which is the waiting time to acquire the lock cyclically. During this time, it will keep trying to acquire the lock until it times out. If it is 0 , it means returning directly after failing to acquire the lock without waiting; another important parameter is $expire, this parameter refers to the maximum survival time of the current lock, in seconds, it must be greater than 0, if the survival time is exceeded, the lock has not been is released, the system will automatically force the release. Please see the explanation in (1) above for the most important function of this parameter.
Here we first obtain the current time, then obtain the waiting timeout when the lock fails (it is a timestamp), and then obtain the maximum survival time of the lock. The key of redis here uses this format: "Lock: identification name of the lock". The loop begins here. First, insert data into redis, and use the setnx() function. The meaning of this function is, If the key does not exist, insert the data and store the maximum survival time as a value. If the insertion is successful, set the expiration time for the key and place the key in the $lockedName array. Return true, which means the lock is successful. ; If the key exists, the insertion operation will not be performed. There is a rigorous operation here, which is to obtain the remaining time of the current key. If this time is less than 0, it means that there is no survival time set on the key (the key will not exist) , because the previous setnx will automatically create it) If this situation occurs, it is that a certain instance of the process crashes after setnx succeeds, resulting in the subsequent expire not being called. At this time, you can directly set the expire and use the lock for your own use. If the waiting time for lock failure is not set or the maximum waiting time has been exceeded, exit the loop. Otherwise, continue the request after $waitIntervalUs. This is the entire code analysis of locking.
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Next, let’s look at the unlocking code analysis: Unlocking is much simpler. The incoming parameter is the lock ID. First, determine whether the lock exists. If it exists, delete the lock ID from redis through the deleteKey() function. That’s it.
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The above is a summary and sharing of the entire set of ideas and code implementation of distributed locks using Redis. Here I attach the code of an implementation class. In the code, I basically commented each line. , so that everyone can quickly understand and simulate the application. If you want to know more about it, please see the code of the entire class:
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(2) Code analysis of using Redis to implement task queue
(1 ) Task queue, used to put operations that can be processed asynchronously in business logic into the queue, and then dequeue them after being processed in other threads
(2) Distributed locks and other logic are used in the queue to ensure that entry Consistency between enqueue and dequeue
(3)这个队列和普通队列不一样,入队时的id是用来区分重复入队的,队列里面只会有一条记录,同一个id后入的覆盖前入的,而不是追加, 如果需求要求重复入队当做不用的任务,请使用不同的id区分
先看入队的代码分析:首先当然是对参数的合法性检测,接着就用到上面加锁机制的内容了,就是开始加锁,入队时我这里选择当前时间戳作为score,接着就是入队了,使用的是zset数据结构的add()方法,入队完成后,就对该任务解锁,即完成了一个入队的操作。
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接着来看一下出队的代码分析:出队一个Task,需要指定它的$id 和 $score,如果$score与队列中的匹配则出队,否则认为该Task已被重新入队过,当前操作按失败处理。首先和对参数进行合法性检测,接着又用到加锁的功能了,然后及时出队了,先使用getScore()从Redis里获取到该id的score,然后将传入的$score和Redis里存储的score进行对比,如果两者相等就进行出队操作,也就是使用zset里的delete()方法删掉该任务id,最后当前就是解锁了。这就是出队的代码分析。
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学过数据结构这门课的朋友都应该知道,队列操作还有弹出顶部某个值的方法等等,这里处理入队出队操作
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以上就是用Redis实现任务队列的整一套思路和代码实现的总结和分享
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到此,这两大块功能基本讲解完毕,对于任务队列,你可以写一个shell脚本,让服务器定时运行某些程序,实现入队出队等操作,这里我就不在将其与实际应用结合起来去实现了,大家理解好这两大功能的实现思路即可,由于代码用的是PHP语言来写的,如果你理解了实现思路,你完全可以使用java或者是.net等等其他语言去实现这两个功能。这两大功能的应用场景十分多,特别是秒杀,另一个就是春运抢火车票,这两个是最鲜明的例子了。当然还有很多地方用到,这里我不再一一列举。
附上分布式锁和任务队列这两个类:
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