带你轻松接触MySQL数据库的出错代码列表_MySQL
MySQL出错代码列表:
1005:创建表失败
1006:创建数据库失败
1007:数据库已存在,创建数据库失败
1008:数据库不存在,删除数据库失败
1009:不能删除数据库文件导致删除数据库失败
1010:不能删除数据目录导致删除数据库失败
1011:删除数据库文件失败
1012:不能读取系统表中的记录
1020:记录已被其他用户修改
1021:硬盘剩余空间不足,请加大硬盘可用空间
1022:关键字重复,更改记录失败
1023:关闭时发生错误
1024:读文件错误
1025:更改名字时发生错误
1026:写文件错误
1032:记录不存在
1036:数据表是只读的,不能对它进行修改
1037:系统内存不足,请重启数据库或重启服务器
1038:用于排序的内存不足,请增大排序缓冲区
1040:已到达数据库的最大连接数,请加大数据库可用连接数
1041:系统内存不足
1042:无效的主机名
1043:无效连接
1044:当前用户没有访问数据库的权限
1045:不能连接数据库,用户名或密码错误

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Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

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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.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

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