在Spring Boot微服务使用SetOperations操作Redis Set集合(无序集合)

╰+攻爆jí腚メ 2024-04-23 03:06 70阅读 0赞

**记录**：404

**场景**：在Spring Boot微服务使用RedisTemplate的SetOperations操作Redis Set集合(无序集合)。

**版本**：JDK 1.8,Spring Boot 2.6.3,redis-6.2.5

**1.微服务中****Redis配置信息**

**1.1在application.yml中Redis配置信息**

spring:
      redis:
        host: 192.168.19.203
        port: 28001
        password: 12345678
        timeout: 50000

**1.2加载简要逻辑**

Spring Boot微服务在启动时，自动注解机制会读取application.yml的注入到RedisProperties对象。在Spring环境中就能取到Redis相关配置信息了。

类全称：org.springframework.boot.autoconfigure.data.redis.RedisProperties

**1.3在pom.xml添加依赖**

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

**2.配置RedisTemplate**

**2.1配置RedisTemplate**

@Configuration
    public class RedisConfig {
      @Bean("redisTemplate")
      public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
          // 1.创建RedisTemplate对象
          RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
          // 2.加载Redis配置
          redisTemplate.setConnectionFactory(lettuceConnectionFactory);
          // 3.配置key序列化
          RedisSerializer<?> stringRedisSerializer = new StringRedisSerializer();
          redisTemplate.setKeySerializer(stringRedisSerializer);
          redisTemplate.setHashKeySerializer(stringRedisSerializer);
          // 4.配置Value序列化
          Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<Object>(Object.class);
          ObjectMapper objMapper = new ObjectMapper();
          objMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
          objMapper.activateDefaultTyping(objMapper.getPolymorphicTypeValidator(), ObjectMapper.DefaultTyping.NON_FINAL);
          jackson2JsonRedisSerializer.setObjectMapper(objMapper);
          redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
          redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
          // 5.初始化RedisTemplate
          redisTemplate.afterPropertiesSet();
          return redisTemplate;
      }
      @Bean
      public SetOperations<String, Object> setOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForSet();
      }
    }

**2.2解析**

在配置RedisTemplate后，在Spring环境中，可以@Autowired自动注入方式注入操作Redis对象。比如：RedisTemplate、SetOperations。

**3.使用SetOperations操作Redis Set集合(无序集合)**

**3.1简要说明**

使用SetOperations操作Redis Set集合(无序集合)，常用操作：增、查、删、设置超时等。

**3.2操作示例**

@RestController
    @RequestMapping("/hub/example/load")
    @Slf4j
    public class LoadController {
      @Autowired
      private RedisTemplate redisTemplate;
      @Autowired
      private SetOperations setOperations;
      /**
       * 操作ZSet,使用ZSetOperations,有序排列且无重复数据
       * 对应写命令: ZADD
       * 对应读命令: SPOP
       */
      @GetMapping("/zSetOperations")
      public Object loadData06() {
        log.info("ZSetOperations操作开始...");
        // 1.增
        zSetOperations.add("CityInfo:Hangzhou06", "杭州", 20);
        zSetOperations.add("CityInfo:Hangzhou06", "苏州", 10);
        zSetOperations.add("CityInfo:Hangzhou06", "上海", 30);
        zSetOperations.add("CityInfo:Hangzhou06", "北京", 101);
        zSetOperations.add("CityInfo:Hangzhou06", "宁波", 999);
        // 2.1查(通过下标查值,从0开始取第一个值)
        Set set = zSetOperations.range("CityInfo:Hangzhou06", 1, 4);
        set.forEach((value) -> {
            System.out.println("value=" + value);
        });
        // 2.2查(通过Score查值)
        set = zSetOperations.rangeByScore("CityInfo:Hangzhou06", 29, 60);
        set.forEach((value) -> {
            System.out.println("value=" + value);
        });
        // 3.改
        zSetOperations.add("CityInfo:Hangzhou06", "杭州", 99);
        // 4.1取(取出Score最大的值,取出后队列中值会删除)
        ZSetOperations.TypedTuple obj1 = zSetOperations.popMax("CityInfo:Hangzhou06");
        System.out.println("取出最大值,value=" + obj1.getValue() + ",Score=" + obj1.getScore());
        // 4.2取(取出Score最小的值,取出后队列中值会删除)
        ZSetOperations.TypedTuple obj2 = zSetOperations.popMin("CityInfo:Hangzhou06");
        System.out.println("取出最小值,value=" + obj2.getValue() + ",Score=" + obj2.getScore());
        // 5.1删除指定值
        zSetOperations.remove("CityInfo:Hangzhou06", "上海");
        // 5.2按照Score分数大小删除
        zSetOperations.removeRangeByScore("CityInfo:Hangzhou06", 1, 100);
        // 5.3删(删除全部)
        redisTemplate.delete("CityInfo:Hangzhou06");
        // 6.设置超时
        zSetOperations.add("CityInfo:Hangzhou06", "杭州", 21);
        zSetOperations.add("CityInfo:Hangzhou06", "苏州", 11);
        redisTemplate.boundValueOps("CityInfo:Hangzhou06").expire(5, TimeUnit.MINUTES);
        redisTemplate.expire("CityInfo:Hangzhou06", 10, TimeUnit.MINUTES);
        // 7.查询ZSet的元素个数
        Long size =zSetOperations.size("CityInfo:Hangzhou06");
        System.out.println("查询ZSet的元素个数,size="+size);
        log.info("ZSetOperations操作结束...");
        return "执行成功";
      }
    }

**3.3测试验证**

使用Postman测试。

请求RUL：http://127.0.0.1:18205/hub-205-redis/hub/example/load/setOperations

**4.SetOperations接口**

**4.1接口**

SetOperations是一个接口，默认实现类是DefaultSetOperations。

接口：org.springframework.data.redis.core.SetOperations。

实现类：org.springframework.data.redis.core.DefaultSetOperations。

**4.2接口源码**

在源码中，查看接口具体方法，可以快速了解该接口具备功能，以便在生产中能根据实际场景对号入座找到合适方法解决实际问题。

public interface SetOperations<K, V> {
      @Nullable
      Long add(K key, V... values);
      @Nullable
      Long remove(K key, Object... values);
      @Nullable
      V pop(K key);
      @Nullable
      List<V> pop(K key, long count);
      @Nullable
      Boolean move(K key, V value, K destKey);
      @Nullable
      Long size(K key);
      @Nullable
      Boolean isMember(K key, Object o);
      @Nullable
      Map<Object, Boolean> isMember(K key, Object... objects);
      @Nullable
      Set<V> intersect(K key, K otherKey);
      @Nullable
      Set<V> intersect(K key, Collection<K> otherKeys);
      @Nullable
      Set<V> intersect(Collection<K> keys);
      @Nullable
      Long intersectAndStore(K key, K otherKey, K destKey);
      @Nullable
      Long intersectAndStore(K key, Collection<K> otherKeys, K destKey);
      @Nullable
      Long intersectAndStore(Collection<K> keys, K destKey);
      @Nullable
      Set<V> union(K key, K otherKey);
      @Nullable
      Set<V> union(K key, Collection<K> otherKeys);
      @Nullable
      Set<V> union(Collection<K> keys);
      @Nullable
      Long unionAndStore(K key, K otherKey, K destKey);
      @Nullable
      Long unionAndStore(K key, Collection<K> otherKeys, K destKey);
      @Nullable
      Long unionAndStore(Collection<K> keys, K destKey);
      @Nullable
      Set<V> difference(K key, K otherKey);
      @Nullable
      Set<V> difference(K key, Collection<K> otherKeys);
      @Nullable
      Set<V> difference(Collection<K> keys);
      @Nullable
      Long differenceAndStore(K key, K otherKey, K destKey);
      @Nullable
      Long differenceAndStore(K key, Collection<K> otherKeys, K destKey);
      @Nullable
      Long differenceAndStore(Collection<K> keys, K destKey);
      @Nullable
      Set<V> members(K key);
      V randomMember(K key);
      @Nullable
      Set<V> distinctRandomMembers(K key, long count);
      @Nullable
      List<V> randomMembers(K key, long count);
      Cursor<V> scan(K key, ScanOptions options);
      RedisOperations<K, V> getOperations();
    }

以上，感谢。

2023年4月12日