redis 解决key的乱码问题,并清理详解_Redis

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