MySQL状态变量是当前服务器自启动后累计的一些系统状态信息,主要用于评估当前系统资源的使用情况以进一步分析系统性能而做出相应的调整决策。这些状态变量我们可以理解为等同于Oracle数据库的动态性能视图。MySQL的状态变量有很多,比如SQL执行频率,索引的使用情况,锁资源的使用情况等等。状态变量可以分区全局以及会话级别的状态变量。状态变量不可修改,为只读属性,由系统更新。本文演示了状态变量的一些示例,仅为抛砖引玉之用。
1、状态变量
2、show方式查看状态变量
--当前演示环境 root@localhost[(none)]> show variables like 'version'; +---------------+------------+ | Variable_name | Value | +---------------+------------+ | version | 5.5.39-log | +---------------+------------+ a、查看所有状态变量 root@localhost[(none)]> show status; +------------------------------------------+-------------+ | Variable_name | Value | +------------------------------------------+-------------+ | Aborted_clients | 0 | | Binlog_stmt_cache_use | 1 | | Bytes_received | 135 | | Bytes_sent | 266 | | ................ | | | Threads_running | 1 | | Uptime | 76242 | | Uptime_since_flush_status | 76242 | +------------------------------------------+-------------+ 312 rows in set (0.00 sec) --可以看出当前版本5.5.39有312个状态变量 b、查看仅有global的状态变量(connections) --查看指定的状态变量,以下两个与connection相关的都为全局状态变量 root@localhost[(none)]> show global status like 'connection%'; +----------------------+-------+ | Variable_name | Value | +----------------------+-------+ | Connections | 11 | --连接到MySQL服务器的数量(包含成功或失败的)。 +----------------------+-------+ suse11b:~ # mysql -ufred fred@localhost[(none)]> show global status like '%connection%'; +----------------------+-------+ | Variable_name | Value | +----------------------+-------+ | Connections | 12 | --连接之后,我们看到Connections的值变为12了。 +----------------------+-------+ c、查看既有global又有session状态的变量 --查看session状态变量opened_tables root@localhost[tempdb]> show session status like 'opened_tables'; +---------------+-------+ | Variable_name | Value | +---------------+-------+ | Opened_tables | 0 | +---------------+-------+ root@localhost[tempdb]> select count(*) from tb_slow; +----------+ | count(*) | +----------+ | 424448 | +----------+ root@localhost[tempdb]> show session status like 'opened_tables'; +---------------+-------+ | Variable_name | Value | +---------------+-------+ | Opened_tables | 1 | --值变为1 +---------------+-------+ --从information_schema.session_status表查询状态变量OPENED_TABLES root@localhost[tempdb]> select * from information_schema.session_status -> where variable_name like 'opened_tables'; +---------------+----------------+ | VARIABLE_NAME | VARIABLE_VALUE | +---------------+----------------+ | OPENED_TABLES | 1 | +---------------+----------------+ --查看全局状态变量opened_tables root@localhost[tempdb]> show global status like 'opened_tables'; +---------------+-------+ | Variable_name | Value | +---------------+-------+ | Opened_tables | 54 | +---------------+-------+ root@localhost[tempdb]> select count(*) from mysql.db; +----------+ | count(*) | +----------+ | 2 | +----------+ root@localhost[tempdb]> show global status like 'opened_tables'; +---------------+-------+ | Variable_name | Value | +---------------+-------+ | Opened_tables | 55 | --值变为55 +---------------+-------+ --从information_schema.global_status表查询状态变量OPENED_TABLES root@localhost[tempdb]> select * from information_schema.global_status -> where variable_name like 'opened_tables'; +---------------+----------------+ | VARIABLE_NAME | VARIABLE_VALUE | +---------------+----------------+ | OPENED_TABLES | 55 | +---------------+----------------+ --清洗状态变量统计信息 root@localhost[tempdb]> flush status; Query OK, 0 rows affected (0.00 sec) --下面的查询结果可以看出,session级别的opened_tables被重置为0 root@localhost[tempdb]> show session status like 'opened_tables'; +---------------+-------+ | Variable_name | Value | +---------------+-------+ | Opened_tables | 0 | +---------------+-------+ --Author: Leshami --Blog : http://blog.csdn.net/leshami --而全局级别的opened_tables未受到任何影响 root@localhost[tempdb]> show global status like 'opened_tables'; +---------------+-------+ | Variable_name | Value | +---------------+-------+ | Opened_tables | 55 | +---------------+-------+
3、使用mysqladmin extended-status获取状态变量
suse11b:~ # mysqladmin extended-status|grep Connections | Connections | 18 | suse11b:~ # mysql root@localhost[(none)]> system mysqladmin extended-status|grep Connections | Connections | 20 | root@localhost[(none)]> exit Bye suse11b:~ # mysqladmin --help |more #mysqladmin与状态变量有关的使用 extended-status Gives an extended status message from the server flush-status Clear status variables

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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