redis 解决key的乱码问题,并清理详解
key乱码问题
因redis默认使用JdkSerializationRedisSerializer来进行序列化，造成key是乱码，如下：
keys '*!report:flag:phon*'
1) "\xac\xed\x00\x05t\x00!report:flag:phone_156464"
2) "\xac\xed\x00\x05t\x00!report:flag:phone_198946"
3) "\xac\xed\x00\x05t\x00!report:flag:phone_183302"
解决key乱码
private RedisTemplate redisTemplate;
@Autowired(required = false)
public void setRedisTemplate(RedisTemplate redisTemplate) {
RedisSerializer stringSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(stringSerializer);
redisTemplate.setValueSerializer(stringSerializer);
redisTemplate.setHashKeySerializer(stringSerializer);
redisTemplate.setHashValueSerializer(stringSerializer);
this.redisTemplate = redisTemplate;
}
清理乱码key
官方不支持 del '*keys'方式模糊/批量删除key。但是keys命令支持模糊匹配，所以采取以下方式：
方式1：可删除正常key，无法删除乱码key
redis-cli -h 192.168.1.21 -a password -n 2 --scan --pattern '*!report:flag:phon*' | xargs redis-cli -h 192.168.1.21 -a password -n 2 DEL
方式2：成功删除
del "\xac\xed\x00\x05t\x00!report:flag:phone_183302" "\xac\xed\x00\x05t\x00!report:flag:phone_198946"
补充知识：redis key和value的乱码问题解决，含日期转化格式问题
在项目中，遇到的问题是redis的key和value出现的乱码问题：在这里插入图片描述
而原本的内容为下：
{
"status":"success",
"data":{
"id":3,
"title":"花林",
"price":99,
"stock":81,
"description":"美女一只",
"sales":17,
"imgUrl":"https://xiaolei1996.oss-cn-shanghai.aliyuncs.com/blog/title/we1.jpg",
"promoStatus":2,
"promoPrice":50,
"promoId":1,
"startDate":"2020-03-23 21:50:59"
}
}
原因： 是因为和redis内部的编码协议出现了问题，所以需要改进。spring提供了一个优化方案。springboot的redisTemplate改进。
@Component
@EnableRedisHttpSession(maxInactiveIntervalInSeconds = 3600)
public class RedisConfig {
@Bean
public RedisTemplate redisTemplate(RedisConnectionFactory factory){
RedisTemplate redisTemplate = new RedisTemplate();
redisTemplate.setConnectionFactory(factory);
//首先解决key的序列化问题
StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(stringRedisSerializer);
//解决value的序列化问题
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
return redisTemplate;
}
}
比之前好了，但是还有点小问题，json的数据比以前多了，这是因为日期的转化出现问题，这块的知识触及盲区，就先把解决方案写下面，以后有时间在研究。
public class JodaDateTimeJsonSerializer extends JsonSerializer<DateTime> {
@Override
public void serialize(DateTime value, JsonGenerator gen, SerializerProvider serializers) throws IOException {
gen.writeString(value.toString("yyyy-MM-dd HH:mm:ss"));
}
}
public class JodaDateTimeJsonDeserializer extends JsonDeserializer<DateTime> {
@Override
public DateTime deserialize(JsonParser p, DeserializationContext ctxt
) throws IOException, JsonProcessingException {
String dateString= p.readValueAs(String.class);
DateTimeFormatter dateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd HH:mm:ss");
return DateTime.parse(dateString,dateTimeFormatter);//转成
}
}
@Component
@EnableRedisHttpSession(maxInactiveIntervalInSeconds = 3600)
public class RedisConfig {
@Bean
public RedisTemplate redisTemplate(RedisConnectionFactory factory){
RedisTemplate redisTemplate = new RedisTemplate();
redisTemplate.setConnectionFactory(factory);
//首先解决key的序列化问题
StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(stringRedisSerializer);
//解决value的序列化问题
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
//改进日期转化问题
ObjectMapper objectMapper = new ObjectMapper();
SimpleModule simpleModule = new SimpleModule();
simpleModule.addSerializer(DateTime.class,new JodaDateTimeJsonSerializer());
simpleModule.addDeserializer(DateTime.class,new JodaDateTimeJsonDeserializer());
//解决反序列化问题 objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
objectMapper.registerModule(simpleModule);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
return redisTemplate;
}
}
最后终于出现了预期的效果
