Will redis cause deadlock problems?
As far as distributed locks are concerned, a common problem is that if a service setnx is successful, but if there is a downtime or some special factors during unlocking, it cannot be unlocked. Then other services will fall into a deadlock state. Therefore, while using setnx, we want to use the expire instruction to perform an expiration operation on the lock. From the instructions, we can see that the setnx and expire instructions are separate. If there are special factors during the gap in the process, the instruction cannot continue. , will also lead to deadlock.
Solution:
import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.stereotype.Component; import org.springframework.util.StringUtils; @Component public class RedisLock { Logger logger = LoggerFactory.getLogger(this.getClass()); @Autowired private StringRedisTemplate redisTemplate; /** * 加锁 * @param key * @param value 当前时间 + 超时时间 * @return */ public boolean lock(String key, String value) { if (redisTemplate.opsForValue().setIfAbsent(key, value)) { // 这个其实就是setnx命令,只不过在java这边稍有变化,返回的是boolean // 设置个过期时间,当然如果在这中间的空隙过程中如果有特殊因素导致指令无法继续,也会导致死锁的产生,如果死锁出现,则后续代码会处理 redisTemplate.expire(key, lockTime, TimeUnit.SECONDS); return true; } // 避免死锁,且只让一个线程拿到锁 String currentValue = redisTemplate.opsForValue().get(key); // 如果锁过期了 if (!StringUtils.isEmpty(currentValue) && Long.parseLong(currentValue) < System.currentTimeMillis()) { //获取上一个锁的时间 String oldValues = redisTemplate.opsForValue().getAndSet(key, value); /* 只会让一个线程拿到锁 如果旧的value和currentValue相等,只会有一个线程达成条件,因为第二个线程拿到的oldValue已经和currentValue不一样了 */ if (!StringUtils.isEmpty(oldValues) && oldValues.equals(currentValue)) { return true; } } return false; } /** * 解锁 * @param key * @param value */ public void unlock(String key, String value) { try { String currentValue = redisTemplate.opsForValue().get(key); if (!StringUtils.isEmpty(currentValue) && currentValue.equals(value)) { redisTemplate.opsForValue().getOperations().delete(key); } } catch (Exception e) { logger.error("redis分布式锁解锁异常,{}", e); } } }
Call:
//加锁 long time = System.currentTimeMillis() + 1000 * lockTime //超时时间:10秒,最好设为常量 boolean isLock = redisLock.lock(...keyName, String.valueOf(time)); if(!isLock){ throw new RuntimeException("系统正忙"); } // doSomething... //解锁 redisLock.unlock(...keyName, String.valueOf(time));
For more Redis related knowledge, please visit the Redis usage tutorial column!
The above is the detailed content of Will redis cause deadlock problems?. 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

AI Hentai Generator
Generate AI Hentai for free.

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



The article discusses choosing shard keys in Redis Cluster, emphasizing their impact on performance, scalability, and data distribution. Key issues include ensuring even data distribution, aligning with access patterns, and avoiding common mistakes l

The article discusses implementing authentication and authorization in Redis, focusing on enabling authentication, using ACLs, and best practices for securing Redis. It also covers managing user permissions and tools to enhance Redis security.

The article discusses using Redis for job queues and background processing, detailing setup, job definition, and execution. It covers best practices like atomic operations and job prioritization, and explains how Redis enhances processing efficiency.

The article discusses strategies for implementing and managing cache invalidation in Redis, including time-based expiration, event-driven methods, and versioning. It also covers best practices for cache expiration and tools for monitoring and automat

Article discusses monitoring Redis Cluster performance and health using tools like Redis CLI, Redis Insight, and third-party solutions like Datadog and Prometheus.

The article explains how to use Redis for pub/sub messaging, covering setup, best practices, ensuring message reliability, and monitoring performance.

The article discusses using Redis for session management in web applications, detailing setup, benefits like scalability and performance, and security measures.

Article discusses securing Redis against vulnerabilities, focusing on strong passwords, network binding, command disabling, authentication, encryption, updates, and monitoring.
