Original: https: //www.toutiao.com/a6691523026984370699/
Foreword
For mysql running, how performance is reasonable parameter settings, whether there are security risks account settings, if you are clear in the chest it?
The saying goes, we must first of its profits, on a regular basis to your MYSQL database a physical examination is an important means to ensure the safe operation of the database, because a good tool to make your work efficiency doubled!
Today to share a few tool mysql optimization, you can use them to perform a physical examination of your mysql, generate reports awr, let you grasp your database performance situation as a whole.
mysqltuner.pl
Mysql is a common database performance diagnostic tools, including rationality log files, storage engine performance analysis of safety recommendations and the main check parameter settings. Against potential problems, make recommendations for improvement. Mysql optimization is a good helper.
In the previous version, MySQLTuner support about 300 indicators MySQL / MariaDB / Percona Server's.
Project address: https: //github.com/major/MySQLTuner-perl
1.1 Download
[root@localhost ~]#wget https://raw.githubusercontent.com/major/MySQLTuner-perl/master/mysqltuner.pl复制代码1.2
[root@localhost ~]# ./mysqltuner.pl --socket /var/lib/mysql/mysql.sock
>> MySQLTuner 1.7.4 - Major Hayden <[email protected]>
>> Bug reports, feature requests, and downloads at http://mysqltuner.com/
>> Run with '--help' for additional options and output filtering
[--] Skipped version check for MySQLTuner script
Please enter your MySQL administrative login: root
Please enter your MySQL administrative password: [OK] Currently running supported MySQL version 5.7.23
[OK] Operating on 64-bit architecture
复制代码1.3, the report analyzes
1) important concern [!!] (exclamation mark in brackets items) such as [!!] Maximum possible memory usage: 4.8G (244.13% of installed RAM), indicates that the memory has been used over the grave.
2) concerns the final recommendations "Recommendations" give.
tuning-primer.sh
Another optimization tool mysql, the needle of a medical examination on the overall mysql, potential problems, give advice optimization.
Project address: https: //github.com/BMDan/tuning-primer.sh
Currently, support for testing and optimization recommendations reads as follows:
2.1 Download
[root@localhost ~]#wget https://launchpad.net/mysql-tuning-primer/trunk/1.6-r1/+download/tuning-primer.sh
复制代码2.2
[root@localhost ~]# [root@localhost dba]# ./tuning-primer.sh
-- MYSQL PERFORMANCE TUNING PRIMER --
- By: Matthew Montgomery -
复制代码2.3 Analysis Report
Focus your red alarm options, according to the proposed combination of the actual situation of their own system be modified, for example:
pt-variable-advisor
pt-variable-advisor MySQL variables can analyze problems and to make recommendations that may arise.
3.1 Installation
https://www.percona.com/downloads/percona-toolkit/LATEST/
[root@localhost ~]#wget https://www.percona.com/downloads/percona-toolkit/3.0.13/binary/redhat/7/x86_64/percona-toolkit-3.0.13-re85ce15-el7-x86_64-bundle.tar
[root@localhost ~]#yum install percona-toolkit-3.0.13-1.el7.x86_64.rpm
复制代码3.2
pt-variable-advisor tool is a sub-pt toolset, mainly used to diagnose your parameter settings are reasonable.
[root@localhost ~]# pt-variable-advisor localhost --socket /var/lib/mysql/mysql.sock
复制代码3.3 Analysis Report
Focus has WARN entry information, for example:
pt-qurey-digest
pt-query-digest main function is to query from the log, analyze tcpdump process list and MySQL.
4.1 Installation
With specific reference to 3.1
4.2
pt-query-digest is mainly used to analyze the log mysql slow, compared with mysqldumpshow tools, analysis tools py-query_digest more specific and better.
[root@localhost ~]# pt-query-digest /var/lib/mysql/slowtest-slow.log
复制代码4.3 common usage analysis
1) direct analysis of slow query file:
pt-query-digest /var/lib/mysql/slowtest-slow.log > slow_report.log
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2) analytical queries within the last 12 hours:
pt-query-digest --since=12h /var/lib/mysql/slowtest-slow.log > slow_report2.log
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3) analytical queries within a specified time range:
pt-query-digest /var/lib/mysql/slowtest-slow.log --since '2017-01-07 09:30:00' --until '2017-01-07 10:00:00'> > slow_report3.log
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4) analysis refers to the slow query contains a select statement
pt-query-digest --filter '$event->{fingerprint} =~ m/^select/i' /var/lib/mysql/slowtest-slow.log> slow_report4.log
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5) slow query for a user's
pt-query-digest --filter '($event->{user} || "") =~ m/^root/i' /var/lib/mysql/slowtest-slow.log> slow_report5.log
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6) All queries slow query all of the full table scan or full join the
pt-query-digest --filter '(($event->{Full_scan} || "") eq "yes") ||(($event->{Full_join} || "") eq "yes")' /var/lib/mysql/slowtest-slow.log> slow_report6.log
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Part 1: General statistics Overall: Total number of queries Time range: Time range query execution unique: the number of unique queries that the query conditions after parameterization, a total of how many different queries total: Total min: minimum max : Max avg: average 95%: all of the values in ascending order, located the 95% of the number, this number is generally the most valuable median: median, all of the values in ascending order, location in the middle of that number
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Part II: inquiry packet statistics Rank: Rank all statements, query time descending order by default, Query ID specified by --order-by: ID statement (remove extra spaces and text characters, calculated hash value) Response: the total response time of time: the query in the proportion of the total time of calls in this analysis: execution times, i.e., this analysis a total of how many of this type of query R / Call: average response time per execution V / M: response time Variance-to-mean ratio of Item: query object
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Part III: Detailed statistical results of each query ID: ID number of the query, the Query ID, and corresponding FIG Databases: database name Users: number (proportion) of each user to perform Query_time distribution: the distribution of the query time, reflect the length interval accounting. Tables: tables involved in the query to Explain: SQL statement
At last
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