背景:
因刚开始安装mysql的时候没有考虑后期磁盘分区空间问题,所以mysql的数据保存目录就按安装默认的目录/usr/local/mysql/(我下载的是一个lamp一键安装包安装的mysql),现在随着服务的运行发现/usr/local/mysql所在分区空间使用快接近100%了,怎么办?不想重装mysql,我服务器大部分空间mount在/app下了,于想想到了linux下的ln -s命令
OK 下面开操作了(注:以下操作均在零晨1点操作,记住先将数据备份成sql文件):
1. service mysqld stop2. 在/app 下新建一个目录mysqldir : mkdir mysqldir #在新分区上建立mysqldir目录3. cd /usr/local/mysql && cp -r /app/mysqldir 新数据拷到新目录mysqldir下4. rm -rf mysql//把原来的数据目录删掉5 ln -s /app/mysqldir mysql6. service mysqld start
本以为没啥问题,运行第6条命令后发现mysql起不来,所如下错误:
Starting MySQL. ERROR! The server quit without updating PID file (/usr/local/mysql/data/AY13121220352352963dZ.pid).
运行service mysqld status输出如下提示信息:
ERROR! MySQL is not running, but lock file (/var/lock/subsys/mysql) exists
ok 这个问题应该很常见了,我的解决办法是运行如下命令:
1. chown -R mysql:mysql /app/mysqldir #设置新目录权限归mysql用户所有2. rm -f /var/lock/subsys/mysql
再执行service mysqld start 大功告成

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 an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

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.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

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.


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