今天又独到了Mysql乱码问题,过去总是匆匆的解决了就算了。这次我实在受不了了。每次都是迷迷糊糊的改好的。
这次决定好好探索一把,看了很多资料及博客之后才理解了点。先记录下来。如有不对的请指正。
1. 首先Mysql是在4.0之后才支持多字符集的。所以只有4.0之后才会出现这种问题。编码转换的规则就是,
在输入数据时将编码由“客户端编码”转换为“服务器端编码”,输出时将数据由“服务器端编码”转换为“客户端编码”。
 
MySQL的字符集处理是这样的:

1、发送请求。
  1)客户端发送请求到服务器端。   
  2)服务器端会把请求的数据从客户端字符集(character_set_client)转成服务器连接字符集(character_set_connection)。   
  3)然后服务器会检测存储区域(table,column)的字符集,然后把数据从连接字符集(character_set_connection)转为存储区域(table,column)的字符集,然後再存储或者查询。

 2、返回请求。
       1)服务器将存储区域(table,column)的字符集转换成服务器连接字符集(character_set_connection)。
       2)将服务器连接字符集(character_set_connection)转换成结果字符集(character_set_results),再发送到客户端。

首先我们看下
mysql>status;

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" alt="" />

我们可以看到四个字符集的设置。
1.改变my.ini文件中的编码可以改变所有的字符集。
2.set names "uf8" 可以改变 Client conn这两个字符集。
3.建立数据库时的设置编码可以改变DB 这个。
知道了,原理之后我开始解决今天遇到的问题。
1.在其他地方正常显示中文。但是在CMD中不能显示显示乱码。
首先我设置了my.ini将字符集全部设置为utf8。个人感觉utf8是趋向标准的。
然后数据库建立时设置为utf8.可是看到CMD查询出的是乱码。
这是因为CMD.也就是我们熟知的windows下的dos是不支持utf8的。
所以我设置输出到客户端编码方式转换成GBK即可。也就是set names gbk 。ok问题解决。
												

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