MySQL性能剖析工具(pt-query-digest)
这个工具同样来自percona-toolkit该工具集合的其他工具MySQL Slave异常关机的处理 (pt-slave-restart)
这个工具同样来自percona-toolkit
该工具集合的其他工具
MySQL Slave异常关机的处理 (pt-slave-restart)
验证MySQL主从一致性(pt-table-checksum&pt-table-sync)
它可以剖析各种日志,从而分析性能问题
包括
1.慢日志(默认)
2.tcpdump
3.general log
4.binlog
5.show processlist
实验通过tpcc模拟一定的压力,并开启binlog,general log,slow log和tcpdump收集日志。
关于tpcc参考:
1.slow log方式
将slow_query_log设置为on
long_query_time设置为0
重新连接服务器(一般意味着中间件服务器重启)
这样慢日志将记录所有的操作。
通过pt-query-digest分析慢日志文件,生成剖析报告
首先是概要信息,包括一共有54.17k个操作,46个语句,平均每秒1.55k查询,剖析报告覆盖的时间等。
概要还包括类似Top SQL的分析
可以从响应时间查看对服务器性能影响最大的SQL,其中R/Call指的是 平均每次执行的响应时间 ResponseTime/Calls
然后就是每条SQL的详细剖析报告,
pct指的是该项占概要报告中的百分比
2.tcpdump方式
因为慢日志方式需要重新连接,而生产环境重启中间件是非常昂贵的操作。
所以在数据库服务器上抓包分析也是一种不错的选择。
pt-query-digest对于抓包有一定的格式。(-x -nn -q -tttt)
-s:源端口
-c:抓包的数量
tcpdump -s 65535 -x -nn -q -tttt -i any -c 100000 port 3306 > test.dmp
在完成抓包采集之后进行分析
pt-query-digest --limit 10 --type tcpdump test.dmp
limit 10 限制显示排名前10的操作
其他方式生成的信息会有缺失,可能达不到预期的效果。
而processlist方式实验失败,尚不清楚如何使用这种方式剖析性能。
--------------------------------------分割线 --------------------------------------
Ubuntu 14.04下安装MySQL
《MySQL权威指南(原书第2版)》清晰中文扫描版 PDF
Ubuntu 14.04 LTS 安装 LNMP Nginx\PHP5 (PHP-FPM)\MySQL
Ubuntu 14.04下搭建MySQL主从服务器
Ubuntu 12.04 LTS 构建高可用分布式 MySQL 集群
Ubuntu 12.04下源代码安装MySQL5.6以及Python-MySQLdb
--------------------------------------分割线 --------------------------------------
本文永久更新链接地址：
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1670
14
1428
52
1329
25
1276
29
1256
24
MySQL's Role: Databases in Web Applications
Apr 17, 2025 am 12:23 AM
The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.
Explain the role of InnoDB redo logs and undo logs.
Apr 15, 2025 am 12:16 AM
InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.
MySQL vs. Other Programming Languages: A Comparison
Apr 19, 2025 am 12:22 AM
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.
How does MySQL index cardinality affect query performance?
Apr 14, 2025 am 12:18 AM
MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.
MySQL for Beginners: Getting Started with Database Management
Apr 18, 2025 am 12:10 AM
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
MySQL vs. Other Databases: Comparing the Options
Apr 15, 2025 am 12:08 AM
MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.
Explain the InnoDB Buffer Pool and its importance for performance.
Apr 19, 2025 am 12:24 AM
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.
MySQL: Structured Data and Relational Databases
Apr 18, 2025 am 12:22 AM
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.
