How to use Redis distributed lock in Laravel
Create lock
use IlluminateSupportFacadesCache; $lock = Cache::lock('foo', 10); if ($lock->get()) { // 处理业务逻辑 sleep(3); $lock->release(); }
Get an indefinite lock and automatically release it
The get method can receive a closure. After the closure is executed, Laravel will automatically release the lock.
Cache::lock('foo')->get(function () { // 获取无限期锁并自动释放... });
Acquire the lock within the specified time
use IlluminateContractsCacheLockTimeoutException; $lock = Cache::lock('foo', 10); try { $lock->block(5); echo "5秒时间内成功获取锁..."; } catch (LockTimeoutException $e) { echo "5秒时间内获取锁失败..."; } finally { optional($lock)->release(); }
Or
Cache::lock('foo', 10)->block(5, function () { echo "5秒时间内成功获取锁..."; });
Ignore the owner and force release the lock
Cache::lock('foo')->forceRelease();
Cross-process management lock
// 控制器中... $podcast = Podcast::find($id); $lock = Cache::lock('foo', 120); if ($result = $lock->get()) { ProcessPodcast::dispatch($podcast, $lock->owner()); } // 队列任务中... // 使用锁名称和拥有者重新获取锁实例后再释放 Cache::restoreLock('foo', $this->owner)->release();
The above is the detailed content of How to use Redis distributed lock in Laravel. 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



Laravel's core functions in back-end development include routing system, EloquentORM, migration function, cache system and queue system. 1. The routing system simplifies URL mapping and improves code organization and maintenance. 2.EloquentORM provides object-oriented data operations to improve development efficiency. 3. The migration function manages the database structure through version control to ensure consistency. 4. The cache system reduces database queries and improves response speed. 5. The queue system effectively processes large-scale data, avoid blocking user requests, and improve overall performance.

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)

Enable Redis slow query logs on CentOS system to improve performance diagnostic efficiency. The following steps will guide you through the configuration: Step 1: Locate and edit the Redis configuration file First, find the Redis configuration file, usually located in /etc/redis/redis.conf. Open the configuration file with the following command: sudovi/etc/redis/redis.conf Step 2: Adjust the slow query log parameters in the configuration file, find and modify the following parameters: #slow query threshold (ms)slowlog-log-slower-than10000#Maximum number of entries for slow query log slowlog-max-len

When installing and configuring GitLab on a CentOS system, the choice of database is crucial. GitLab is compatible with multiple databases, but PostgreSQL and MySQL (or MariaDB) are most commonly used. This article analyzes database selection factors and provides detailed installation and configuration steps. Database Selection Guide When choosing a database, you need to consider the following factors: PostgreSQL: GitLab's default database is powerful, has high scalability, supports complex queries and transaction processing, and is suitable for large application scenarios. MySQL/MariaDB: a popular relational database widely used in Web applications, with stable and reliable performance. MongoDB:NoSQL database, specializes in

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Installation and Configuration Guide for Redis under CentOS System This guide details how to install and configure the Redis database on CentOS system. Step 1: Install the dependencies First, make sure that the system has the necessary compilation tools installed. Open the terminal and execute the following command: sudoyumininstall-ygccmake Step 2: Download the Redis source code Download the latest version of the source code package from the Redis official website. For example, download Redis6.2.6 version: wgethttp://download.redis.io/releases/redis-6.2.6.tar.gz``` (Please replace it with the latest version chain

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.
