Redis教程

重写Redis序列化方式,redis可视化工具不乱码

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当我们的数据存储到Redis的时候,我们的键(key)和值(value)都是通过Spring提供的Serializer序列化到数据库的。RedisTemplate默认使用的是JdkSerializationRedisSerializer,StringRedisTemplate默认使用的是StringRedisSerializer。
Spring Data JPA为我们提供了下面的Serializer:
GenericToStringSerializer、Jackson2JsonRedisSerializer、JacksonJsonRedisSerializer、JdkSerializationRedisSerializer、OxmSerializer、StringRedisSerializer。
我们自己配置RedisTemplate并定义Serializer。

package cxy.redis;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

@Configuration
public class RedisConfig {
    
    @Autowired
    @Qualifier(value = "redisTemplate")
    private RedisTemplate redisTemplate;
    
    @Bean(name = "newRedisTemplate")
    public RedisTemplate<String, RedisCountDo> redisTemplate() {
        
        // 设置序列化
        Jackson2JsonRedisSerializer<RedisCountDo> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(RedisCountDo.class);
        RedisSerializer stringSerializer = new StringRedisSerializer();
        // key序列化
        redisTemplate.setKeySerializer(stringSerializer);
        // value序列化
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
        // Hash key序列化
        redisTemplate.setHashKeySerializer(stringSerializer);
        // Hash value序列化
        redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
        
    }
    
}

使用先注入RedisConfig类

    @Autowired
    private RedisConfig redisConfig;

然后使用方法仿照下面

 @Test
    public void redisTest2() {
    
        RedisTemplate<String, RedisCountDo> redisTemplate = redisConfig.redisTemplate();
        for (int i = 0; i < 4; i++) {
//            Long aLong = RandomUtil.randomLong();
            Long aLong=541654546156L;
            String userId = new StringBuilder("AAA:BBB:").append(aLong).toString();
            if (!redisTemplate.hasKey(userId)) {
                RedisCountDo redisCountDoSet = new RedisCountDo(new Date(), 10);
                redisTemplate.opsForValue().set(userId, redisCountDoSet, 1, TimeUnit.DAYS);
            } else {
                RedisCountDo redisCountDo = redisTemplate.opsForValue().get(userId);
                while (redisCountDo.getCount() == 0) {
                    Long expire = redisTemplate.boundHashOps(userId).getExpire();
                    System.out.println(String.format("请求次数太多,请%s后再来", FormatTimeUtils.formatTime(expire)));
                    System.exit(0);
                }
                redisCountDo.setCount(redisCountDo.getCount() - 1);
                redisTemplate.opsForValue().set(userId, redisCountDo, 0);
                System.out.println(redisCountDo);
            }
        }
    
    }

做 redisTemplate.opsForValue().set(userId, redisCountDoSet, 1, TimeUnit.DAYS);等这些读写操作.

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