解决MySQL客户端输出窗口显示中文乱码问题的办法_MySQL
最近发现,在MySQL的dos客户端输出窗口中查询表中的数据时,表中的中文数据都显示成乱码,如下图所示:
上网查了一下原因:之所以会显示乱码,就是因为MySQL客户端输出窗口显示中文时使用的字符编码不对造成的,可以使用如下的命令查看输出窗口使用的字符编码:show variables like 'char%';
命令执行完成之后显示结果如下所示:
可以看到,现在是使用utf8字符编码来显示中文数据的,但是因为操作系统是中文操作系统,默认使用的字符集是GB2312,所以需要把输出窗口使用的字符编码改成gb2312才能够正常显示中文。使用如下的命令设置输出窗口使用的字符编码:set character_set_results=gb2312;
命令执行完成之后就可以把输出窗口使用的字符编码改成gb2312,如下图所示:
此时我们再次执行查询,表中的中文数据就可以正常显示了,如下图所示:
以上就是为大家分享的解决MySQL客户端输出窗口显示中文乱码问题的办法,希望对大家的学习有所帮助。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
