Teach you how to correctly use Redis's SETNX to implement the lock mechanism
The following column of Redis Tutorial will introduce to you the correct use of Redis’s SETNX to implement the lock mechanism. I hope it will be helpful to friends in need!
setNX is the abbreviation of set if not exists, that is, it is set only when it does not exist. It returns 1 when the setting is successful and 0 when the setting fails. It can be used to achieve the lock effect, but many people have some problems that they do not consider during use.
For example, a certain interface for querying the database adds a cache because of a relatively large number of requests, and sets it to refresh after the cache expires. When the amount of concurrency is relatively large and the cache expires, a large number of concurrent requests will directly query the database, causing an avalanche. The avalanche problem can be avoided if a locking mechanism is used to control only one request to update the cache. The following is a locking method that many people subconsciously think of
$rs = $redis->setNX($key, $value); if ($rs) { //处理更新缓存逻辑 // ...... //删除锁 $redis->del($key); }
Get the lock through setNX. If successful, update the cache and then delete the lock. In fact, there is a serious problem here: if the cache exits unexpectedly for some reason, the lock will not be deleted and will always exist, so that the cache will never be updated. In order to solve this problem, some people may think of setting an expiration time for the lock, as follows
$redis->multi(); $redis->setNX($key, $value); $redis->expire($key, $ttl); $redis->exec();
Because setNX does not have the function of setting the expiration time, it needs to use Expire to set it, and Multi/Exec needs to be used to ensure that the requested Atomicity to prevent setNX from succeeding but failing to Expire. There is still a problem with this: when multiple requests arrive, although only one request's setNX can succeed, any request's Expire can succeed. This means that even if the lock cannot be obtained, the expiration time can be refreshed, causing the lock to remain locked. It's effective, but it still doesn't solve the above problem. Obviously setNX cannot meet the demand. Starting from Redis 2.6.12, SET covers the functions of SETEX. SET itself also includes the function of setting the expiration time, so using SET can solve the problems encountered above.
$rs = $redis->set($key, $value, array('nx', 'ex' => $ttl)); if ($rs) { //处理更新缓存逻辑 // ...... //删除锁 $redis->del($key); }
This step is actually problematic. If a request takes longer to update the cache than the validity period of the lock, causing the lock to become invalid during the cache update process, another request will acquire the lock, but the previous request will When the cache update is completed, if you delete the lock directly, you may accidentally delete the lock created by other requests. So to avoid this problem, you can introduce a random value when creating the lock and judge it when deleting the lock
$rs = $redis->set($key, $random, array('nx', 'ex' => $ttl)); if ($rs) { //处理更新缓存逻辑 // ...... //先判断随机数,是同一个则删除锁 if ($redis->get($key) == $random) { $redis->del($key); } }
The above is the detailed content of Teach you how to correctly use Redis's SETNX to implement the lock mechanism. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

How to clear Redis data: Use the FLUSHALL command to clear all key values. Use the FLUSHDB command to clear the key value of the currently selected database. Use SELECT to switch databases, and then use FLUSHDB to clear multiple databases. Use the DEL command to delete a specific key. Use the redis-cli tool to clear the data.

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

On CentOS systems, you can limit the execution time of Lua scripts by modifying Redis configuration files or using Redis commands to prevent malicious scripts from consuming too much resources. Method 1: Modify the Redis configuration file and locate the Redis configuration file: The Redis configuration file is usually located in /etc/redis/redis.conf. Edit configuration file: Open the configuration file using a text editor (such as vi or nano): sudovi/etc/redis/redis.conf Set the Lua script execution time limit: Add or modify the following lines in the configuration file to set the maximum execution time of the Lua script (unit: milliseconds)

There are two types of Redis data expiration strategies: periodic deletion: periodic scan to delete the expired key, which can be set through expired-time-cap-remove-count and expired-time-cap-remove-delay parameters. Lazy Deletion: Check for deletion expired keys only when keys are read or written. They can be set through lazyfree-lazy-eviction, lazyfree-lazy-expire, lazyfree-lazy-user-del parameters.

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

In Debian systems, readdir system calls are used to read directory contents. If its performance is not good, try the following optimization strategy: Simplify the number of directory files: Split large directories into multiple small directories as much as possible, reducing the number of items processed per readdir call. Enable directory content caching: build a cache mechanism, update the cache regularly or when directory content changes, and reduce frequent calls to readdir. Memory caches (such as Memcached or Redis) or local caches (such as files or databases) can be considered. Adopt efficient data structure: If you implement directory traversal by yourself, select more efficient data structures (such as hash tables instead of linear search) to store and access directory information
