以下的文章主要是介绍一种更为快捷的方法来实现MySQL5字符集问题,以下就是MySQL5字符集问题与其实际解决办法的描述,希望在你今后的学习中会有所帮助。希望你浏览之后能有所收获。 今天打开slave日志发现一堆错误全部是这种: [ERROR] Slave: Error 'Charac
以下的文章主要是介绍一种更为快捷的方法来实现MySQL5字符集问题,以下就是MySQL5字符集问题与其实际解决办法的描述,希望在你今后的学习中会有所帮助。希望你浏览之后能有所收获。
今天打开slave日志发现一堆错误全部是这种:
[ERROR] Slave: Error 'Character set '#28' is not a compiled character set and is not specified in the '/usr/local/MySQL(和PHP搭配之最佳组合)/share/MySQL(和PHP搭配之最佳组合)/charsets/Index.xml(标准化越来越近了)' file' on query.
我在master(linux)机上写insert语句,发现同步是没问题的,后来我在window上用一个MySQL(和PHP搭配之最佳组合)客户端插入数据,上面的问题就开始出现了。通过MySQL(和PHP搭配之最佳组合)binlog查看slave日志发现
如果使用gbk编码的客户端插入数据就会有下面的日志:
SET @@session.character_set_client=28,@llation_connection=33,@llation_server=8/*!*/;
如果是直接在linux写insert,那么上面的28(gbk) 就变成8(latin-swde)
原因应该是MySQL(和PHP搭配之最佳组合)客户端使用了gbk编码,而服务器无法识别。虽然你可以在'/usr/local/MySQL(和PHP搭配之最佳组合)/share/MySQL(和PHP搭配之最佳组合)/charsets/Index.xml(标准化越来越近了)' 找到gbk,但通过 SHOW CHARACTER SET;确实可以看出数据库没有列出gbk。
我又比较了一下别的机器上的MySQL(和PHP搭配之最佳组合)版本,发现那些机器上的MySQL(和PHP搭配之最佳组合)都是用的发布版本,而这台slave机使用源代码安装的,于是我下了个MySQL5字符集(和PHP搭配之最佳组合)-5.0.37-linux-i686-glibc23.tar.gz
然后
cd /usr/local
mv MySQL(和PHP搭配之最佳组合) MySQL(和PHP搭配之最佳组合)-old
tar xzvf MySQL(和PHP搭配之最佳组合)-5.0.37-linux-i686-glibc23.tar.gz
mv MySQL(和PHP搭配之最佳组合)-5.0.37-linux-i686-glibc23 MySQL(和PHP搭配之最佳组合)
启动MySQL(和PHP搭配之最佳组合),一切就ok了
以上的相关内容就是对MySQL5字符集问题以及解决办法的介绍,望你能有所收获。

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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