今天将Mysql升级到了5.1.31,用Navicat打开数据库添加数据,出现了1577错误,提示信息: ERROR 1577 (HY000): Cannot proceed because system tables used by Event Scheduler were found damaged at server start。 查看手册(5.4. mysql_fix_privilege_tab
今天将Mysql升级到了5.1.31,用Navicat打开数据库添加数据,出现了1577错误,提示信息:
ERROR 1577 (HY000): Cannot proceed because system tables used by Event Scheduler were found damaged at server start。
查看手册(5.4. mysql_fix_privilege_tables:升级MySQL系统表),一些MySQL发布对mysql数据库中的系统表的结构进行了更改,添加了新权限或特性。当你更新到新版本MySQL,你应同时更新系统表,以确保它们的结构最新。首先备份mysql数据库,然后按照下面的程序操作
解决办法是:
在Windows系统中,MySQL分发包括mysql_fix_privilege_tables.sqlSQL脚本,你可以用mysql客户端来运行。例如,如果MySQL安装到C:Program FilesMySQLMySQL Server 5.1,命令应为:
C:>C:Program FilesMySQLMySQL Server 5.1binmysql -u root -p mysqlmysql>SOURCE C:/Program Files/MySQL/MySQL Server 5.1/share/mysql_fix_privilege_tables.sql
如果安装到其它目录,相应地更改路径名。
mysql命令将提示输入root密码;按照提示输入密码。运行时候不用管出错信息,完成退出,重启Mysql服务器就可以
linux解决方案,没有试过,摘录如下:
在Unix或Unix类系统中,运行mysql_fix_privilege_tables脚本来更新系统表:
shell>mysql_fix_privilege_tables
你必须在服务器运行时执行该脚本。它试图连接本机上用root运行的服务器。如果root账户需要密码,在命令行中按下述方法给出密码:
shell> mysql_fix_privilege_tables--password=root_password

MySQLoffersvariousstorageengines,eachsuitedfordifferentusecases:1)InnoDBisidealforapplicationsneedingACIDcomplianceandhighconcurrency,supportingtransactionsandforeignkeys.2)MyISAMisbestforread-heavyworkloads,lackingtransactionsupport.3)Memoryengineis

Common security vulnerabilities in MySQL include SQL injection, weak passwords, improper permission configuration, and unupdated software. 1. SQL injection can be prevented by using preprocessing statements. 2. Weak passwords can be avoided by forcibly using strong password strategies. 3. Improper permission configuration can be resolved through regular review and adjustment of user permissions. 4. Unupdated software can be patched by regularly checking and updating the MySQL version.

Identifying slow queries in MySQL can be achieved by enabling slow query logs and setting thresholds. 1. Enable slow query logs and set thresholds. 2. View and analyze slow query log files, and use tools such as mysqldumpslow or pt-query-digest for in-depth analysis. 3. Optimizing slow queries can be achieved through index optimization, query rewriting and avoiding the use of SELECT*.

To monitor the health and performance of MySQL servers, you should pay attention to system health, performance metrics and query execution. 1) Monitor system health: Use top, htop or SHOWGLOBALSTATUS commands to view CPU, memory, disk I/O and network activities. 2) Track performance indicators: monitor key indicators such as query number per second, average query time and cache hit rate. 3) Ensure query execution optimization: Enable slow query logs, record and optimize queries whose execution time exceeds the set threshold.

The main difference between MySQL and MariaDB is performance, functionality and license: 1. MySQL is developed by Oracle, and MariaDB is its fork. 2. MariaDB may perform better in high load environments. 3.MariaDB provides more storage engines and functions. 4.MySQL adopts a dual license, and MariaDB is completely open source. The existing infrastructure, performance requirements, functional requirements and license costs should be taken into account when choosing.

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.


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