SpringBoot整合Redis Lettuce

最近在準備集成的基礎框架使用Spring Boot2搭建，其中Redis的支持不單單是豐富了它的API，更是替換掉底層Jedis的依賴，取而代之換成了Lettuce(生菜)

jedis跟lettuce的區別

• Lettuce 和 Jedis 的定位都是Redis的client，因此他們固然均可以直接鏈接redis server。
• Jedis在實現上是直接鏈接的redis server，若是在多線程環境下是非線程安全的，這個時候只有使用鏈接池，爲每一個Jedis實例增長物理鏈接
• Lettuce的鏈接是基於Netty的，鏈接實例（StatefulRedisConnection）能夠在多個線程間併發訪問，應爲StatefulRedisConnection是線程安全的，因此一個鏈接實例（StatefulRedisConnection）就能夠知足多線程環境下的併發訪問，固然這個也是可伸縮的設計，一個鏈接實例不夠的狀況也能夠按需增長鏈接實例。

導入依賴

在 pom.xml 中spring-boot-starter-data-redis的依賴，Spring Boot2.x 後底層不在是Jedis若是作版本升級的朋友須要注意下，第二個commons-pool2依賴不能少（鏈接池使用）。

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

<dependency>
   <groupId>org.apache.commons</groupId>
   <artifactId>commons-pool2</artifactId>
</dependency>

配置文件

因爲Spring Boot2.x 的改動，鏈接池相關配置須要經過spring.redis.lettuce.pool 進行配置了

spring:
    redis:
        # Redis開關/默認關閉
        enabled: true
        database: 0
        password:     #redis密碼
        host: 127.0.0.1
        port: 6379
        lettuce:
            pool:
                max-active:  100 # 鏈接池最大鏈接數（使用負值表示沒有限制）
                max-idle: 100 # 鏈接池中的最大空閒鏈接
                min-idle: 50 # 鏈接池中的最小空閒鏈接
                max-wait: 6000 # 鏈接池最大阻塞等待時間（使用負值表示沒有限制）
        timeout: 1000

具體配置類

RedisConfig

@Configuration
@EnableCaching // 開啓緩存支持
public class RedisConfig extends CachingConfigurerSupport {

   @Resource
   private LettuceConnectionFactory lettuceConnectionFactory;

   // 緩存管理器
   @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {

        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(keySerializer()))//key序列化方式
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(valueSerializer()))//value序列化方式
                .disableCachingNullValues()
                .entryTtl(Duration.ofSeconds(30*60));//緩存過時時間


        RedisCacheManager.RedisCacheManagerBuilder builder = RedisCacheManager.RedisCacheManagerBuilder
                .fromConnectionFactory(lettuceConnectionFactory)
                .cacheDefaults(config)
                .transactionAware()
                .withInitialCacheConfigurations(getRedisCacheConfigurationMap());

        return builder.build();
    }
   
      private RedisSerializer<String> keySerializer() {
           return new StringRedisSerializer();
       }

       private RedisSerializer<Object> valueSerializer() {
          Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);
           ObjectMapper om = new ObjectMapper();
           om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
           om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
           
           om.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
           
           jackson2JsonRedisSerializer.setObjectMapper(om);
           return jackson2JsonRedisSerializer;
          
          
           // 設置序列化 兩種方式區別不大
//        return new GenericJackson2JsonRedisSerializer();
       }
   
   
    private Map<String, RedisCacheConfiguration> getRedisCacheConfigurationMap() {
        Map<String, RedisCacheConfiguration> redisCacheConfigurationMap = new HashMap<>();
        /**
         * @CacheConfig(cacheNames = "SsoCache")
         public class SsoCache{
            @Cacheable(keyGenerator = "cacheKeyGenerator")
            public String getTokenByGsid(String gsid) 
         }
         //兩者選其一,可使用value上的信息，來替換類上cacheNames的信息
         @Cacheable(value = "BasicDataCache",keyGenerator = "cacheKeyGenerator")
         public String getTokenByGsid(String gsid) 
         */
        //SsoCache和BasicDataCache進行過時時間配置
        redisCacheConfigurationMap.put("menuCache", this.getRedisCacheConfigurationWithTtl(24*60*60));
        redisCacheConfigurationMap.put("BasicDataCache", this.getRedisCacheConfigurationWithTtl(30*60));
        return redisCacheConfigurationMap;
    }

    private RedisCacheConfiguration getRedisCacheConfigurationWithTtl(Integer seconds) {

        RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig();
        redisCacheConfiguration = redisCacheConfiguration.entryTtl(Duration.ofSeconds(seconds))
              .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(keySerializer()))//key序列化方式
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(valueSerializer()))//value序列化方式;
                ;
        return redisCacheConfiguration;
    }
   
    @Bean(name = "cacheKeyGenerator")
    public KeyGenerator cacheKeyGenerator() {
        return new KeyGenerator() {
            @Override
            public Object generate(Object target, Method method, Object... params) {
               
               StringBuffer sb = new StringBuffer();
                sb.append(target.getClass().getName());
                sb.append(method.getName());
                for (Object obj : params) {
                    sb.append(obj.toString());
                }
                return sb.toString();
            }
        };
    }

   /**
    * RedisTemplate配置
    */
   @Bean
   public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
      // 設置序列化
//    
      RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
      redisTemplate.setKeySerializer(keySerializer());
        redisTemplate.setHashKeySerializer(keySerializer());
//        redisTemplate.setHashValueSerializer(valueSerializer());
//        redisTemplate.setValueSerializer(valueSerializer());
        redisTemplate.setConnectionFactory(lettuceConnectionFactory);
      return redisTemplate;
   }
}

RedisCacheManager

public class RedisCacheManager implements CacheManager {
    /**
     * 用於shiro中用到的cache
     */
    private ConcurrentMap<String, Cache> caches = new ConcurrentHashMap<>();

    /**
     * redis cache 工具類
     */
    private RedisTemplate redisTemplate = SpringUtils.getBean("redisTemplate");
//    @Autowired
//    private RedisTemplate redisTemplate;

    @Override
    public <K, V> Cache<K, V> getCache(String name) throws CacheException {
        Cache<K, V> cache = caches.get(name);
        if (cache == null) {
            synchronized (this) {
                cache = new RedisCache<>(3600, redisTemplate);
                caches.put(name, cache);
            }
        }
        return cache;
    }

}