Redisson 集成SpringBoot 详解

一、引入依赖

 
         org.redisson
         redisson-spring-boot-starter
         3.23.5
     

redison-spring-boot-starter依赖于与最新版本的spring-boot兼容的redison-spring数据模块。降级redison弹簧数据模块(如有必要),以支持以前的spring Boot版本:

redisson-spring-data module name Spring Boot version
redisson-spring-data-16 1.3.y
redisson-spring-data-17 1.4.y
redisson-spring-data-18 1.5.y
redisson-spring-data-2x 2.x.y
redisson-spring-data-3x 3.x.y

二、添加配置文件

使用 common Spring Boot 3.x+ settings:

spring:
  data:
    redis:
      database: 
      host:
      port:
      password:
      ssl: 
      timeout:
      connectTimeout:
      clientName:
      cluster:
        nodes:
      sentinel:
        master:
        nodes:

使用common Spring Boot up to 2.7.x settings:

spring:
  redis:
    database: 
    host:
    port:
    password:
    ssl: 
    timeout:
    connectTimeout:
    clientName:
    cluster:
      nodes:
    sentinel:
      master:
      nodes:

 配置redision属性(application.yaml):

spring:
  redis:
   redisson: 
      config: |
        clusterServersConfig:
          idleConnectionTimeout: 10000
          connectTimeout: 10000
          timeout: 3000
          retryAttempts: 3
          retryInterval: 1500
          failedSlaveReconnectionInterval: 3000
          failedSlaveCheckInterval: 60000
          password: null
          subscriptionsPerConnection: 5
          clientName: null
          loadBalancer: ! {}
          subscriptionConnectionMinimumIdleSize: 1
          subscriptionConnectionPoolSize: 50
          slaveConnectionMinimumIdleSize: 24
          slaveConnectionPoolSize: 64
          masterConnectionMinimumIdleSize: 24
          masterConnectionPoolSize: 64
          readMode: "SLAVE"
          subscriptionMode: "SLAVE"
          nodeAddresses:
          - "redis://127.0.0.1:7004"
          - "redis://127.0.0.1:7001"
          - "redis://127.0.0.1:7000"
          scanInterval: 1000
          pingConnectionInterval: 0
          keepAlive: false
          tcpNoDelay: false
        threads: 16
        nettyThreads: 32
        codec: ! {}
        transportMode: "NIO"

三、使用 RedissonClient

一切就绪后,除了常用的 StringRedisTemplate 外,我们还可以注入如下由 Redisson 提供的 Bean:

  • RedissonClient
  • RedissonRxClient(响应式)
  • RedissonReactiveClient(响应式)
  • RedisTemplate
  • ReactiveRedisTemplate(响应式)

四、接下来,我们使用 RedissonClient 来实现一个分布式锁,以进行测试:

import java.util.concurrent.CountDownLatch;
import java.util.concurrent.locks.Lock;

import org.junit.jupiter.api.Test;
import org.redisson.api.RedissonClient;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.boot.test.context.SpringBootTest.WebEnvironment;

@SpringBootTest(webEnvironment = WebEnvironment.RANDOM_PORT)
public class DemoApplicationTests {

    static final Logger logger = LoggerFactory.getLogger(DemoApplicationTests.class);

    // 注入 RedissonClient
    @Autowired
    RedissonClient redissonClient;

    // 计数器
    private int count;

    @Test
    public void test() throws InterruptedException {

        CountDownLatch countDownLatch = new CountDownLatch(1000);

        for (int i = 0; i < 1000; i++) {

            new Thread(() -> {

                // 每个线程都创建自己的锁对象
                // 这是基于 Redis 实现的分布式锁
                Lock lock = this.redissonClient.getLock("counterLock");

                try {
                    // 上锁
                    lock.lock();

                    // 计数器自增 1
                    this.count = this.count + 1;

                } finally {
                    // 释放锁
                    lock.unlock();
                }
                countDownLatch.countDown();
            }).start();
        }

        countDownLatch.await();

        logger.info("count = {}", this.count);
    }

如上。我们在测试类中注入了 RedissonClient Bean,并且定义了一个 count 属性。在测试方法中,启动 1000 个线程对 count 属性进行 +1 操作。其中,每个线程都通过 RedissonClient 获取分布式锁来控制对变量的并发修改。

运行测试,输出的日志如下:

INFO 4840 --- [           main] c.s.demo.test.DemoApplicationTests       : count = 1000

如你所见,最后的结果是 1000,分布式锁生效。

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