Redisson实现延迟队列

news2024/9/26 3:30:27

k8s部署单点Redis

(1)k8s部署redis的yaml文件

apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  labels:
    app: redis
  name: redis
spec:
  replicas: 1
  selector:
    matchLabels:
      app: redis
  strategy: {}
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: redis
    spec:
      containers:
      - image: redis:5.0.5-alpine
        imagePullPolicy: IfNotPresent
        name: redis
        resources: {}
---
apiVersion: v1
kind: Service
metadata:
  creationTimestamp: null
  labels:
    app: redis
  name: redis
spec:
  ports:
  - port: 6379
    protocol: TCP
    targetPort: 6379
  selector:
    app: redis
status:
  loadBalancer: {}

(2)运行结果
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SpringBoot整合Redis

(1)application.yaml文件配置redis连接地址

spring:
  redis:
    port: 31091
    host: x.x.x.x
    password:

(2)添加maven依赖

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

(3)添加缓存

package gdut.controller;

import gdut.util.RedissionUtil;
import org.redisson.api.RBlockingDeque;
import org.redisson.api.RDelayedQueue;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.web.bind.annotation.*;

import java.util.Map;
import java.util.concurrent.TimeUnit;

@RestController
@RequestMapping("/redis")
public class RedisController {

    @Autowired
    private StringRedisTemplate stringRedisTemplate;

    //添加缓存
    @PostMapping("/createCache")
    public String deployDefinition(@RequestBody Map<String, String> params) {
        for(Map.Entry<String, String> entry : params.entrySet()) {
            stringRedisTemplate.opsForValue().set(entry.getKey(), entry.getValue());
        }

        return "success";
    }
}

(4)测试

http://localhost:8081/redis/createCache
{
“aaa”: “bbb”,
“1”:“2”
}
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Redission实现延迟队列

(1)添加Maven依赖

 <dependency>
     <groupId>org.redisson</groupId>
     <artifactId>redisson</artifactId>
     <version>3.12.3</version>
 </dependency>

(2)获取redis连接、堵塞队列、延迟队列

package gdut.util;

import org.redisson.Redisson;
import org.redisson.api.RBlockingDeque;
import org.redisson.api.RDelayedQueue;
import org.redisson.api.RedissonClient;
import org.redisson.config.Config;
import org.redisson.config.TransportMode;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration;
import org.springframework.stereotype.Component;

import java.util.concurrent.BlockingDeque;

public class RedissionUtil {

    private static RedissonClient redissonClient;

    public static RedissonClient getRedssionClient() {
        if(null == redissonClient) {
            Config config = new Config();
            config.useSingleServer()
                .setAddress("redis://x.x.x.x:31091")
                .setPingConnectionInterval(1000);
            redissonClient = Redisson.create(config);
        }
        return redissonClient;
    }

    public static RDelayedQueue<String> getDelayedQueue() {
        RedissonClient redissonClient = getRedssionClient();
        RBlockingDeque<String> blockingDeque = redissonClient.getBlockingDeque("test");
        RDelayedQueue<String> delayedQueue = redissonClient.getDelayedQueue(blockingDeque);
        return delayedQueue;
    }

    public static RBlockingDeque<String> getBlockingQueue() {
        RedissonClient redissonClient = getRedssionClient();
        RBlockingDeque<String> blockingDeque = redissonClient.getBlockingDeque("test");
        return blockingDeque;
    }

}

(3)生产消息、消费消息

@PostMapping("/produceMessage")
public String produceMessage(@RequestParam("message") String message) {
    RDelayedQueue<String> delayedQueue = RedissionUtil.getDelayedQueue();
    delayedQueue.offer(message, 10, TimeUnit.SECONDS);

    return "success";
}

@PostMapping("/consumeMessage")
public String consumeMessage() {
    RBlockingDeque<String> blockingDeque = RedissionUtil.getBlockingQueue();
    try {
        String consumeMessage = blockingDeque.take();
        System.out.println("consumeMessage is:" + consumeMessage);
    } catch (Exception e) {
        e.printStackTrace();
    }

    return "success";
}

(4)测试
http://localhost:8081/redis/produceMessage?message=testeee
http://localhost:8081/redis/consumeMessage

延迟队列

keys * 查看到存在key=redisson_delay_queue:{test}的缓存。
type redisson_delay_queue:{test} 查询出该key的类型是list。
lrange redisson_delay_queue:{test} 0 -1 查询出数组有的全部元素。当元素到达延迟时间，就会从数组中移除。
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堵塞队列

test是我定义的堵塞队列的名称。Redisson直接用队列名称作为键。
type test 查看test的数据类型，查询出是list。
lrange test 0 -1 查询堵塞队列全部的元素。
在这里插入图片描述
当延迟队列和堵塞队列的list集合都没有元素的时候，Redisson会把对应的键删除。