springboot 整合redis

springboot2.0 与redis整合默认使用的是Lettuce，相较于jedis，lettuce 是一个可伸缩的，线程安全的redis客户端。在处理高并发方面有更多的优势。

RedisTemplate 使用

1. 依赖, 主要需要的依赖为

    compile('org.springframework.boot:spring-boot-starter-data-redis')
    compile('org.apache.commons:commons-pool2:2.6.0')
    compile('com.alibaba:fastjson:1.2.33')

2. yml 配置

    spring:
      redis:
        database: 1
        host: 192.168.1.XX
        port: 6379
        lettuce:
          pool:
            max-active: 8
            max-wait: -1ms
            min-idle: 0

3. redisTemplate 配置

   
   @Configuration
   public class RedisConfiguration {
   
   @Bean
   public RedisTemplate<String,Object> redisTemplate(LettuceConnectionFactory connectionFactory){
       RedisTemplate template = new RedisTemplate();
       template.setConnectionFactory(connectionFactory);
   
       ObjectMapper objectMapper = new ObjectMapper();
       objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
       objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
   
       Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
       jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
   
       template.setValueSerializer(jackson2JsonRedisSerializer);
       template.setKeySerializer(new StringRedisSerializer());
       template.afterPropertiesSet();

    return  template;
    }
}

  
1. 使用

 @Autowired
RedisTemplate redisTemplate;
 public void addData(){
    MyInfo myInfo = new MyInfo("11","22","s344");
    redisTemplate.opsForValue().set("11",myInfo);
    redisTemplate.opsForValue().set("myse","mys");
}
```

spring-cache 与 redis 整合

spring cache 可以在不更改现有代码逻辑的基础上，通过增加注解的方式，实现缓存。 减少代码侵入

1. 在gradle文件中增加 spring-cache的相关依赖 compile('org.springframework.boot:spring-boot-starter-cache')
2. 配置CacheManager， 在Configuration 配置类上增加EnableCache 注解；

3. 配置CacheManager Bean，代码为

       Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper objectMapper = new ObjectMapper();
        objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
   
        RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory);
   
        RedisCacheConfiguration cacheConfiguration = RedisCacheConfiguration.defaultCacheConfig();
        cacheConfiguration = cacheConfiguration.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer));
        cacheConfiguration.entryTtl(Duration.ofMinutes(10));
        CacheManager cacheManager = new RedisCacheManager(redisCacheWriter, cacheConfiguration);
        return cacheManager;
   

   完成上述配置后，便可以在service中直接使用spring-cache注解，完整代码: 代码