redis消息队列的实现方法

这篇文章主要讲解了“redis消息队列的实现方法”，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习“redis消息队列的实现方法”吧！

方式一：通过list的阻塞读取命令，blpop或者brpop

消费者

public class Consumer extends DemoApplicationTests{
    @Test
    public void consume(){
        int timeout = 0;//永不超时
        String key = "test_que";
        //list集合 第一个元素为key值，第二个元素为弹出的元素值;当超时返回[null]
        while(true){
            List<Object> obj = redisTemplate.executePipelined(new RedisCallback<Object>() {
                @Override
                public Object doInRedis(RedisConnection connection) throws DataAccessException {
                    //队列没有元素会阻塞操作，直到队列获取新的元素或超时
                    return connection.bLPop(timeout,key.getBytes());
                }
            },new StringRedisSerializer());
            for(Object o:obj){
                System.out.println("---------------"+o);
            }
        }
    }
}

生产者

public class Productor extends DemoApplicationTests {

    @Test
    public void generateMsg() {
        String key = "test_que";
        redisTemplate.opsForList().leftPush(key,"hht2");
    }

}

方式二：Pub/Sub（发布/订阅）使用的 spring boot

依赖包

<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>

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

    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
    <dependency>
        <groupId>org.apache.commons</groupId>
        <artifactId>commons-pool2</artifactId>
    </dependency>
</dependencies>

配置类

@Configuration
@AutoConfigureAfter(RedisAutoConfiguration.class)
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {

    /**
     * 配置自定义redisTemplate
     * @return
     */
    @Bean
    RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {

        RedisTemplate<String, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(redisConnectionFactory);

        //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值
        Jackson2JsonRedisSerializer serializer = new Jackson2JsonRedisSerializer(Object.class);

        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        serializer.setObjectMapper(mapper);

        template.setValueSerializer(serializer);
        //使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(serializer);
        template.afterPropertiesSet();
        return template;
    }

    /**
     * 序列化定制
     *
     * @return
     */
    @Bean
    public Jackson2JsonRedisSerializer<Object> jackson2JsonSerializer() {
        Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(
                Object.class);

        // 初始化objectmapper
        ObjectMapper mapper = new ObjectMapper();
        mapper.setSerializationInclusion(JsonInclude.Include.NON_NULL);
        mapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(mapper);
        return jackson2JsonRedisSerializer;
    }

    /**
     * 消息监听器，使用MessageAdapter可实现自动化解码及方法代理
     *
     * @return
     */
    @Bean
    public MessageListenerAdapter listener(Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer,
                                           MessageSubscriber subscriber) {
        MessageListenerAdapter adapter = new MessageListenerAdapter(subscriber, "onMessage");
        adapter.setSerializer(jackson2JsonRedisSerializer);
        adapter.afterPropertiesSet();
        return adapter;
    }

    /**
     * 将订阅器绑定到容器
     *
     * @param connectionFactory
     * @param listenerAdapter
     * @return
     */
    @Bean
    public RedisMessageListenerContainer container(RedisConnectionFactory connectionFactory,
                                                   MessageListenerAdapter listener) {

        RedisMessageListenerContainer container = new RedisMessageListenerContainer();
        container.setConnectionFactory(connectionFactory);
        container.addMessageListener(listener, new PatternTopic("/redis/*"));
        return container;
    }
}

模拟消息发布类

@Service
public class RedisPubSub {
        private static final Logger logger = LoggerFactory.getLogger(RedisPubSub.class);

        @Autowired
        private RedisTemplate<String, Object> redisTemplate;

        private ChannelTopic topic = new ChannelTopic("/redis/pubsub");


        @Scheduled(initialDelay = 5000, fixedDelay = 10000)
        private void schedule() {
            logger.info("publish message");
            publish("admin", "hey you must go now!");
        }

        /**
         * 推送消息
         *
         * @param publisher
         * @param message
         */
        public void publish(String publisher, String content) {
            logger.info("message send {} by {}", content, publisher);

            redisTemplate.convertAndSend(topic.getTopic(), content);
        }
}

模拟消息接收类

@Component
public class MessageSubscriber {
    Logger logger = LoggerFactory.getLogger(MessageSubscriber.class);
    public void onMessage(String message, String pattern) {
        logger.info("topic {} received {} ", pattern, message);
    }
}

启动类

@SpringBootApplication
@EnableScheduling
public class DemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(DemoApplication.class, args);
    }

}

感谢各位的阅读，以上就是“redis消息队列的实现方法”的内容了，经过本文的学习后，相信大家对redis消息队列的实现方法这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是亿速云，小编将为大家推送更多相关知识点的文章，欢迎关注！