一直苦恼于 MySQL 没有像 Oracle Statspack 这样的性能分析工具,调优手段太少。很久以前自己学习 C 的时候,写了个简单的收集分析 MySQL 性能状态数据的小工具,之所以选择用 C 去写,一来是为了熟悉 MySQL 的 C API,熟悉 MySQL 代码,另一方面想捡回早就
一直苦恼于 MySQL 没有像 Oracle Statspack 这样的性能分析工具,调优手段太少。很久以前自己学习 C 的时候,写了个简单的收集分析 MySQL 性能状态数据的小工具,之所以选择用 C 去写,一来是为了熟悉 MySQL 的 C API,熟悉 MySQL 代码,另一方面想捡回早就丢掉的 C 语言知识(后被证明很难实现,哈哈)。
随着 MySQL 5.5的出现,MySQL 新增了 Performance Schema,用于展示一些系统等待事件和性能信息。虽然仍然没有 DBA 最需要的 SQL 执行的信息,但至少比以前仅仅只有一些简单的 status 有了很大的进步。
所以最近又想完善一下这个被我自己称为 MySQL Performance Tool 的工具 “myperf” 。这次选择用较轻量级的脚本来实现,简单快速嘛(其实对我也是刚开始学习的,哈哈)
暂时计划包含以下3个功能:
- 显示实时性能状态 (top mode)
- 对性能状态做snapshot ?(snap mode)
- 分析性能状态,输出报告 (report mode)
目前暂时先做了第一个功能点,连接到需要查看的数据库后以类似于linux 上 top 命令的方式实时刷新,包括active session 也会输出。
实现比较简陋,当前目标是基本能用就行。下面是输出截图:
欢迎有兴趣和我一起完善这个工具的同学加入和我一起完善他,有兴趣请 gmail 给 sky000。
原文地址:MySQL Performance Tool – myperf, 感谢原作者分享。

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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