redis消息队列的实现方法

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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！