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

    原文作者:springDevBird
    原文地址: https://segmentfault.com/a/1190000016241565
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