mysql慢查询分析centos下mysqlsla的安装与使用
yum -yinstall perl perl-DBI perl-CPAN wget http://hackmysql.com/scripts/mysqlsla-2.03.tar.gz tar zxvf mysqlsla-2.03.tar.gz cd mysqlsla-2.03 perl Makefile.PL make make install mysqlsla -lt slow /var/mysql/log/mysql-slow.log 统计参数说明? qu
yum -y install perl perl-DBI perl-CPAN
wget
tar zxvf
cd
perl Makefile.PL
make
make install
mysqlsla -lt slow /var/mysql/log/mysql-slow.log
统计参数说明?
queries total: 总查询次数
unique:去重后的sql数量
sorted by : 输出报表的内容排序 最重大的慢sql统计信息, 包括 平均执行时间, 等待锁时间, 结果行的总数, 扫描的行总数.
Count: sql的执行次数及占总的slow log数量的百分比.
Time: 执行时间, 包括总时间, 平均时间, 最小, 最大时间, 时间占到总慢sql时间的百分比.
95% of Time: 去除最快和最慢的sql, 覆盖率占95%的sql的执行时间.
Lock Time: 等待锁的时间.
95% of Lock: 95%的慢sql等待锁时间.
Rows sent: 结果行统计数量, 包括平均, 最小, 最大数量.
Rows examined: 扫描的行数量.
Database: 属于哪个数据库.
Users: 哪个用户,哪个IP, 占到所有用户执行的sql百分比.
Query abstract: 抽象化的sql语句.
Query sample: sql语句.
使用参数说明
–log-type (-lt) type logs:
通过这个参数来制定log的类型,主要有slow, general, binary, msl, udl,分析slow log时通过制定为slow.
–sort:
–top:
显示sql的数量,默认是10,表示取按规则排序的前多少条
–statement-filter (-sf) [+-][TYPE]:
过滤sql语句的类型,比如select、update、drop. [TYPE]有SELECT, CREATE, DROP, UPDATE, INSERT,例如”+SELECT,INSERT”,不出现的默认是-,即不包括。
–databases db:
要处理哪个库的日志。
使用举例
将慢日志mysqlslow.log中执行时间最长的10条sql显示并写到sql_10.log中。
mysqlsla -lt slow
将慢日志mysqlslow.log中数据库为mydb的所有select和update的慢sql,显示并将查询次数最多的100条写到sql_su100.sql中。
mysqlsla -lt slow
来自为知笔记(Wiz)Time=2013-04-23 15:13:27
原文地址:mysql慢查询分析centos下mysqlsla的安装与使用, 感谢原作者分享。

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

AI Hentai Generator
Generate AI Hentai for free.

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



Steps to configure IP address in CentOS: View the current network configuration: ip addr Edit the network configuration file: sudo vi /etc/sysconfig/network-scripts/ifcfg-eth0 Change IP address: Edit IPADDR= Line changes the subnet mask and gateway (optional): Edit NETMASK= and GATEWAY= Lines Restart the network service: sudo systemctl restart network verification IP address: ip addr

Improve HDFS performance on CentOS: A comprehensive optimization guide to optimize HDFS (Hadoop distributed file system) on CentOS requires comprehensive consideration of hardware, system configuration and network settings. This article provides a series of optimization strategies to help you improve HDFS performance. 1. Hardware upgrade and selection resource expansion: Increase the CPU, memory and storage capacity of the server as much as possible. High-performance hardware: adopts high-performance network cards and switches to improve network throughput. 2. System configuration fine-tuning kernel parameter adjustment: Modify /etc/sysctl.conf file to optimize kernel parameters such as TCP connection number, file handle number and memory management. For example, adjust TCP connection status and buffer size

CentOS Platform Hadoop Distributed File System (HDFS) Performance Optimization Guide Optimizing HDFS Performance is a multi-faceted issue, and multiple parameters need to be adjusted for specific situations. The following are some key optimization strategies: 1. Memory management adjusts the NameNode and DataNode memory configuration: reasonably configure the HADOOP_NAMENODE_OPTS and HADOOP_DATANODE_OPTS environment variables according to the actual memory size of the server to optimize memory utilization. Enable large page memory: For high memory consumption applications (such as HDFS), enabling large page memory can reduce memory page allocation and management overhead and improve efficiency. 2. Disk I/O optimization uses high-speed storage

The key differences between CentOS and Ubuntu are: origin (CentOS originates from Red Hat, for enterprises; Ubuntu originates from Debian, for individuals), package management (CentOS uses yum, focusing on stability; Ubuntu uses apt, for high update frequency), support cycle (CentOS provides 10 years of support, Ubuntu provides 5 years of LTS support), community support (CentOS focuses on stability, Ubuntu provides a wide range of tutorials and documents), uses (CentOS is biased towards servers, Ubuntu is suitable for servers and desktops), other differences include installation simplicity (CentOS is thin)

The CentOS shutdown command is shutdown, and the syntax is shutdown [Options] Time [Information]. Options include: -h Stop the system immediately; -P Turn off the power after shutdown; -r restart; -t Waiting time. Times can be specified as immediate (now), minutes ( minutes), or a specific time (hh:mm). Added information can be displayed in system messages.

When configuring Hadoop Distributed File System (HDFS) on CentOS, the following key configuration files need to be modified: core-site.xml: fs.defaultFS: Specifies the default file system address of HDFS, such as hdfs://localhost:9000. hadoop.tmp.dir: Specifies the storage directory for Hadoop temporary files. hadoop.proxyuser.root.hosts and hadoop.proxyuser.ro

Enable PyTorch GPU acceleration on CentOS system requires the installation of CUDA, cuDNN and GPU versions of PyTorch. The following steps will guide you through the process: CUDA and cuDNN installation determine CUDA version compatibility: Use the nvidia-smi command to view the CUDA version supported by your NVIDIA graphics card. For example, your MX450 graphics card may support CUDA11.1 or higher. Download and install CUDAToolkit: Visit the official website of NVIDIACUDAToolkit and download and install the corresponding version according to the highest CUDA version supported by your graphics card. Install cuDNN library:

CentOSStream8 system troubleshooting guide This article provides systematic steps to help you effectively troubleshoot CentOSStream8 system failures. Please try the following methods in order: 1. Network connection testing: Use the ping command to test network connectivity (for example: pinggoogle.com). Use the curl command to check the HTTP request response (for example: curlgoogle.com). Use the iplink command to view the status of the network interface and confirm whether the network interface is operating normally and is connected. 2. IP address and gateway configuration verification: Use ipaddr or ifconfi
