【spring boot】2.0 配置@cacheable 自定义序列化方式 缓存数据到redis

一·背景描述

  spring 的  @cacheable 已成为我们比较常用的缓存数据的方式，但是把非String对象缓存到redis后在使用RedisDesktopManager等软件查看缓存的数据的时候 展示的是HEX 数据，观察起来比较不方便，所以我们这里自定义了FastJsonRedisSerializer 序列化对象后缓存到redis，可以更 方便的观察缓存数据。

二·引入jar包

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

<dependency>
   <groupId>com.alibaba</groupId>
   <artifactId>fastJson</artifactId>
   <version>1.2.17</version>
</dependency>

三·代码

1·自定义序列化方式

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.serializer.SerializerFeature;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;

import java.nio.charset.Charset;

/**
 * 说明:自定义redis序列化方式
 *
 * @author WangBin
 * @version V1.0
 * @since 2018.03.22
 */
public class FastJsonRedisSerializer<T> implements RedisSerializer<T> {
    
    public static final Charset DEFAULT_CHARSET = Charset.forName("UTF-8");

    private Class<T> clazz;

    public FastJsonRedisSerializer(Class<T> clazz) {
        super();
        this.clazz = clazz;
    }
    
    @Override
    public byte[] serialize(T t) throws SerializationException {
        if (t == null) {
            return new byte[0];
        }
        return JSON.toJSONString(t, SerializerFeature.WriteClassName).getBytes(DEFAULT_CHARSET);
    }

    @Override
    public T deserialize(byte[] bytes) throws SerializationException {
        if (bytes == null || bytes.length <= 0) {
            return null;
        }
        String str = new String(bytes, DEFAULT_CHARSET);
        return JSON.parseObject(str, clazz);
    }
}

2·配置

import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.serializer.RedisSerializationContext;

import java.time.Duration;

/**
 *
 * @author WangBin
 * @version V1.0
 * @date 2017.12.05
 */
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {
    /**
     *  设置 redis 数据默认过期时间
     *  设置@cacheable 序列化方式
     * @return
     */
    @Bean
    public RedisCacheConfiguration redisCacheConfiguration(){
        FastJsonRedisSerializer<Object> fastJsonRedisSerializer = new FastJsonRedisSerializer<>(Object.class);
        RedisCacheConfiguration configuration = RedisCacheConfiguration.defaultCacheConfig();
        configuration = configuration.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(fastJsonRedisSerializer)).entryTtl(Duration.ofDays(30));
        return configuration;
    }
}