springboot整合redis實現緩存

spring: 
  redis:
    ##默認redis客戶端連接為0 可修改
    database: 0
    host: 127.0.0.1
    port: 6379
    cache_name: XiChuanRedis
    ##password:
    pool:
      ##連接池最大空閑連接
      max-idle: 8
      min-idle: 0
      max-active: 8
      max-wait: 1
    timeout: 5000

package org.springblade.common.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import java.time.Duration;


@Configuration
public class RedisConfig {
    private Duration timeToLive = Duration.ofHours(1);

    @Bean
    public RedisTemplate<Object, Object> edisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(redisConnectionFactory);

        // 使用Jackson2JsonRedisSerialize 替換默認序列化
        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);

        // 設置value的序列化規則和 key的序列化規則
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
        redisTemplate.setKeySerializer(new StringRedisSerializer());
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }

    @Bean
    public CacheManager cacheManager(RedisConnectionFactory factory) {
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);

        //解決查詢緩存轉換異常的問題
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);

        // 配置序列化（解決亂碼的問題）
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(timeToLive)
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();
        RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .build();

        return cacheManager;
    }


}

@Component
public classBaseServiceImpl{
 
    @Autowired
    ParamRepository paramRepository;
 
    @Cacheable(value="XiChuanRedis", key="'sign_test'")  
    public String getNotFinishedTypeCode(){
        List<Param> params = paramRepository.findBySpiderOver(0);
 
        if(params != null && params.size() > 0){
            return  params.stream()   //先將List按照id進行排序，然后取出最上面的那個，然后取出第一個
                    .sorted(Comparator.comparing(HeiGuangParam::getId))
                    .collect(Collectors.toList())
                    .get(0)
                    .getTypeCode();
        }else{   //如果沒有就返回null
            return null;
        }
    }
 
    /**
     * 更新param后，需要將redis中的值移除
     * @param param
     */
    @CacheEvict(value="XiChuanRedis", key="'sign_test'")
    public void updateParamByTypeCode(Param param){
        paramRepository.save(param);
    }
}

@Cacheable：如果redis在相同的Cache有相同的key的緩存元素時，就會直接在redis緩存中，根據key讀取緩存並返回結果；如果沒有，則先調用方法，將返回值寫入到redis緩存中，然后返回結果。它的屬性有:value、key、condition

value：指定是哪一個Cache，可以指定多個Cache。例如:@Cacheable({"cache1", "cache2"})

key：緩存的key，當在清楚緩存時要與此對應。

1.key為null，則使用默認key。

2.key為一個字符串，例如:@CacheEvict(value="XiChuanRedis", key="'department_code_'")。
3.key為方法中的一個方法上的一個屬性,例如:

@CacheEvict(value="XiChuanRedis", key="'code_'+#departmentCode")
public String getNameByCode(String departmentCode){
}

4.key為方法中的一個方法上的一個實體的屬性,例如:

@Cacheable(value="XiChuanRedis", key="'userid_'+#user.id")
public User getUserById(Integer id){
}

condition：緩存條件，可以直接為null，例子如下:

@Cacheable(value="XiChuanRedis", key="'userid_'+#user.id", condition="#user.id%2==0")
public User getUserById(Integer id){
}