对mysql Illegal mix of collations(gbk_chinese_ci,IMPLICIT) a_MySQL
bitsCN.com
对mysql Illegal mix of collations(gbk_chinese_ci,IMPLICIT) and (gb2312_chinese_ci,I的解决
对于常见的乱码问题,有的在数据库本身已经为gbk或gb2312时候,但是查询出来却是乱码,这是因为mysql在连接的过程中还有道编码,因此将连接的编码设为gb2312或utf-8
即可,如:
jdbc:mysql://localhost:3306/ipanel?useUnicode=true&characterEncoding=UTF-8
hibernate和jdbc的参数设置是不一样,但大体相同,网上类似的资料很多。
最重要的是这个问题:
Illegal mix of collations (gbk_chinese_ci,IMPLICIT) and (gb2312_chinese_ci,IMPLICIT) for operation '='
相信有很多人碰到,意思是说字符编码不一样,不能进行比较,也就是说数据库内部的编码都不一样,有的数据是
gbk_chinese_ci,有的数据是gb2312_chinese_ci,因此解决此问题的核心就是将数据库所有的编码进行统一。
进入命令行模式,
如果MySQL数据库已经安装好,可以使用下列SQL命令查看MySQL当前的字符集设置:
mysql> SHOW VARIABLES LIKE 'character_set_%'; +--------------------------+----------------------------+ | Variable_name | Value | +--------------------------+----------------------------+ | character_set_client | latin1 | | character_set_connection | latin1 | | character_set_database | latin1 | | character_set_results | latin1 | | character_set_server | latin1 | | character_set_system | utf8 | | character_sets_dir | /usr/share/mysql/charsets/ | +--------------------------+----------------------------+ 7 rows in set (0.00 sec) mysql> SHOW VARIABLES LIKE 'collation_%'; +----------------------+-------------------+ | Variable_name | Value | +----------------------+-------------------+ | collation_connection | latin1_swedish_ci | | collation_database | latin1_swedish_ci | | collation_server | latin1_swedish_ci | +----------------------+-------------------+ 3 rows in set (0.00 sec)
依次执行:
set character_set_client =gb2312; set character_set_connection =gb2312; set character_set_database =gb2312; set character_set_results =gb2312; set character_set_server =gb2312; set character_set_system =gb2312; --此处utf-8也可以
然后执行:
SET collation_server = gb2312_chinese_ciSET collation_database = gb2312_chinese_ciSET collation_connection =gb2312_chinese_ci
执行完之后,请检查mysql下每个数据库,表,字段是否都是gb2312,不是则改过来,这样子就不会出现
Illegal mix of collations (gbk_chinese_ci,IMPLICIT) and (gb2312_chinese_ci,IMPLICIT) for operation '='
bitsCN.com

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



MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings
