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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
1048:字段不能为空
1049:数据库不存在
1050:数据表已存在
1051:数据表不存在
1054:字段不存在
1065:无效的SQL语句,SQL语句为空
1081:不能建立Socket连接
1114:数据表已满,不能容纳任何记录
1116:打开的数据表太多
1129:数据库出现异常,请重启数据库
1130:连接数据库失败,没有连接数据库的权限
1133:数据库用户不存在
1141:当前用户无权访问数据库
1142:当前用户无权访问数据表
1143:当前用户无权访问数据表中的字段
1146:数据表不存在
1147:未定义用户对数据表的访问权限
1149:SQL语句语法错误
1158:网络错误,出现读错误,请检查网络连接状况
1159:网络错误,读超时,请检查网络连接状况
1160:网络错误,出现写错误,请检查网络连接状况
1161:网络错误,写超时,请检查网络连接状况
1062:字段值重复,入库失败
1169:字段值重复,更新记录失败
1177:打开数据表失败
1180:提交事务失败
1181:回滚事务失败
1203:当前用户和数据库建立的连接已到达数据库的最大连接数,请增大可用的数据库连接数或重启数据库
1205:加锁超时
1211:当前用户没有创建用户的权限
1216:外键约束检查失败,更新子表记录失败
1217:外键约束检查失败,删除或修改主表记录失败
1226:当前用户使用的资源已超过所允许的资源,请重启数据库或重启服务器
1227:权限不足,您无权进行此操作
1235:MySQL版本过低,不具有本功能

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What are stored procedures in MySQL?What are stored procedures in MySQL?May 01, 2025 am 12:27 AM

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

How does query caching work in MySQL?How does query caching work in MySQL?May 01, 2025 am 12:26 AM

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

What are the advantages of using MySQL over other relational databases?What are the advantages of using MySQL over other relational databases?May 01, 2025 am 12:18 AM

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

How do you handle database upgrades in MySQL?How do you handle database upgrades in MySQL?Apr 30, 2025 am 12:28 AM

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

What are the different backup strategies you can use for MySQL?What are the different backup strategies you can use for MySQL?Apr 30, 2025 am 12:28 AM

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

What is MySQL clustering?What is MySQL clustering?Apr 30, 2025 am 12:28 AM

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

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Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

How can you optimize MySQL performance?How can you optimize MySQL performance?Apr 30, 2025 am 12:26 AM

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi

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