数据库 发布日期:2024/12/23 浏览次数:1
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
以上这篇redis 解决key的乱码问题,并清理详解就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持。