springboot整合redis实现缓存

spring: 
  redis:
    ##默认redis客户端连接为0 可修改
    database: 0
    host: 127.0.0.1
    port: 6379
    cache_name: XiChuanRedis
    ##password:
    pool:
      ##连接池最大空闲连接
      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 edisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(redisConnectionFactory);

        // 使用Jackson2JsonRedisSerialize 替换默认序列化
        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);

        // 设置value的序列化规则和 key的序列化规则
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
        redisTemplate.setKeySerializer(new StringRedisSerializer());
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }

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

        //解决查询缓存转换异常的问题
        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（解决乱码的问题）
        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 params = paramRepository.findBySpiderOver(0);
 
        if(params != null && params.size() > 0){
            return  params.stream()   //先将List按照id进行排序，然后取出最上面的那个，然后取出第一个
                    .sorted(Comparator.comparing(HeiGuangParam::getId))
                    .collect(Collectors.toList())
                    .get(0)
                    .getTypeCode();
        }else{   //如果没有就返回null
            return null;
        }
    }
 
    /**
     * 更新param后，需要将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的缓存元素时，就会直接在redis缓存中，根据key读取缓存并返回结果；如果没有，则先调用方法，将返回值写入到redis缓存中，然后返回结果。它的属性有:value、key、condition

value：指定是哪一个Cache，可以指定多个Cache。例如:@Cacheable({"cache1", "cache2"})

key：缓存的key，当在清楚缓存时要与此对应。

1.key为null，则使用默认key。

2.key为一个字符串，例如:@CacheEvict(value="XiChuanRedis", key="'department_code_'")。
3.key为方法中的一个方法上的一个属性,例如:

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

4.key为方法中的一个方法上的一个实体的属性,例如:

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

condition：缓存条件，可以直接为null，例子如下:

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