search
HomeDatabaseMysql TutorialHow to enable mysql query slow log

1. What is MySQL slow query log

MySQL slow query log is a performance analysis tool that comes with MySQL and is used to record queries that exceed a specified time threshold. Query request. The slow query log records different performance indicators of each query, such as the required time, number of executions, and execution plan. Developers can use these metrics to identify queries that need optimization to improve efficiency and take appropriate action.

By default, MySQL's slow query log is usually not enabled and requires manual configuration to enable it. Querying the slow log can be enabled by setting parameters in the MySQL configuration file (my.cnf). The following is an example configuration for querying the slow log:

slow_query_log = 1

slow_query_log_file = /var/log/mysql/mysql-slow.log

log_queries_not_using_indexes = 1

long_query_time = 2

Among them, the slow_query_log parameter is used to enable slow query logs, the slow_query_log_file parameter specifies the location of the slow query log file, the log_queries_not_using_indexes parameter is used to log unused information of slow query indexes, and the long_query_time parameter Used to specify the query timeout, in seconds.

2. How to enable MySQL slow query log

By default, MySQL 5.7 and above enable slow query log. Manual configuration is necessary to enable the query slow log feature, especially for older versions of MySQL such as MySQL 5.6 or 5.5, etc. The following are the detailed steps to enable MySQL query slow log:

  1. Open the MySQL configuration file

By default, the MySQL configuration file is in the Linux system The path in is /etc/my.cnf. In Windows systems, the configuration file is usually located in C:Program FilesMySQLMySQL Servermy.ini or C:ProgramDataMySQLMySQL Servermy.ini. Open the file with your favorite editor.

  1. Enable slow query log

Find the following line in the configuration file:

slow_query_log = 0

Remove the comment symbol # from this line and change the value to 1.

slow_query_log = 1

  1. Specify the slow log file path

Find the following line:

slow_query_log_file = /var/log/mysql/mysql-slow.log

Remove the comment symbol # from the line and change the file path to the path you want.

slow_query_log_file = /var/log/mysql/mysql-slow.log

  1. Configure query timeout

Find the following Line:

long_query_time = 10

Remove the comment symbol # from this line and change the value to your desired query timeout threshold in seconds.

long_query_time = 2

  1. Configure the switch for index unused information

Find the following line:

  • log_queries_not_using_indexes = 0

Remove the comment symbol # from this line and change the value to 1 to enable unused slow query indexes in logging operations.

log_queries_not_using_indexes = 1

  1. Save and close the configuration file

Check whether the configuration file has been saved and close the file.

  1. Restart MySQL service

Use the following command to restart the MySQL service:

sudo systemctl restart mysqld

3. How to view the MySQL slow query log

Once you have enabled the MySQL slow query log, the slow query log will automatically record the query information and store it in the specified slow query log file . You can use the following command to view the slow query log:

sudo tail -n 100 /var/log/mysql/mysql-slow.log

Use this command to display the latest 100 slow query logs Record. You can also change the number of rows displayed to your liking. The output will include the time required to execute the slow query and all data tables and subqueries involved in the query.

If you need to query slow logs by date filtering, you can use grep and awk to filter the logs on Linux, as shown below:

grep "21-Jun-2022" /var/log/ mysql/mysql-slow.log | awk '{print substr($2,0,length($2)-1)" "$3$4" "$5}' | less

This command will output in June 2022 All timestamps containing slow query logs on the 21st of the month.

4. How to analyze and optimize MySQL query slow logs

After collecting enough MySQL query slow logs, you can analyze them to determine the queries that need to be optimized. . Here are some best practices for analyzing and optimizing query performance:

  1. Parsing query slow logs with pt-query-digest

pt -query-digest is an open source software that can help you analyze MySQL query slow logs and optimize for problems that arise in them. Here are the steps to install and use pt-query-digest:

  • Install Percona Toolkit

On CentOS 7, you can install it using the following command .

yum install https://repo.percona.com/yum/percona-release-latest.noarch.rpm
yum install percona-toolkit

  • Parse and query slow logs

You can use the following command to use pt-query-digest to parse and query slow logs.

pt-query-digest /var/log/mysql/mysql-slow.log > slow-query-analysis.out

  • Analysis query slow log

Use pt-query-digest to get a detailed analysis report on slow query logs. You can look for the queries that occur most frequently and have the longest timeouts and identify those that need optimization.

  1. Using index fields

The MySQL query slow log records all queries that did not successfully use the index. You can use this information to determine which queries did not. Use appropriate field indexes to speed up queries. Adding indexes in MySQL can greatly optimize query performance. It is important to note that adding too many indexes may reduce query performance because it may increase the cost of query requests and update operations.

  1. Optimize query statements

The query slow log can tell you which queries need to be optimized. If the execution time exceeds the set threshold, the query will be recorded in the log file. You can check the query statement and try using different query statements to optimize execution speed.

  1. Use caching mechanism

The caching mechanism can greatly improve the query speed. If the query results are already stored in the cache, you can avoid query execution and resource overhead and return the results directly. Caching mechanisms can be implemented by using cache providers such as Redis and Memcached.

  1. Adjust MySQL server parameters

The performance of MySQL server can be optimized by adjusting various parameters to optimize the entire database. These parameters include MySQL cache size, connection limit, query timeout, etc. By adjusting these parameters, database service performance can be optimized for specific queries.

The above is the detailed content of How to enable mysql query slow log. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:亿速云. If there is any infringement, please contact admin@php.cn delete
How to Grant Permissions to New MySQL UsersHow to Grant Permissions to New MySQL UsersMay 09, 2025 am 12:16 AM

TograntpermissionstonewMySQLusers,followthesesteps:1)AccessMySQLasauserwithsufficientprivileges,2)CreateanewuserwiththeCREATEUSERcommand,3)UsetheGRANTcommandtospecifypermissionslikeSELECT,INSERT,UPDATE,orALLPRIVILEGESonspecificdatabasesortables,and4)

How to Add Users in MySQL: A Step-by-Step GuideHow to Add Users in MySQL: A Step-by-Step GuideMay 09, 2025 am 12:14 AM

ToaddusersinMySQLeffectivelyandsecurely,followthesesteps:1)UsetheCREATEUSERstatementtoaddanewuser,specifyingthehostandastrongpassword.2)GrantnecessaryprivilegesusingtheGRANTstatement,adheringtotheprincipleofleastprivilege.3)Implementsecuritymeasuresl

MySQL: Adding a new user with complex permissionsMySQL: Adding a new user with complex permissionsMay 09, 2025 am 12:09 AM

ToaddanewuserwithcomplexpermissionsinMySQL,followthesesteps:1)CreatetheuserwithCREATEUSER'newuser'@'localhost'IDENTIFIEDBY'password';.2)Grantreadaccesstoalltablesin'mydatabase'withGRANTSELECTONmydatabase.TO'newuser'@'localhost';.3)Grantwriteaccessto'

MySQL: String Data Types and CollationsMySQL: String Data Types and CollationsMay 09, 2025 am 12:08 AM

The string data types in MySQL include CHAR, VARCHAR, BINARY, VARBINARY, BLOB, and TEXT. The collations determine the comparison and sorting of strings. 1.CHAR is suitable for fixed-length strings, VARCHAR is suitable for variable-length strings. 2.BINARY and VARBINARY are used for binary data, and BLOB and TEXT are used for large object data. 3. Sorting rules such as utf8mb4_unicode_ci ignores upper and lower case and is suitable for user names; utf8mb4_bin is case sensitive and is suitable for fields that require precise comparison.

MySQL: What length should I use for VARCHARs?MySQL: What length should I use for VARCHARs?May 09, 2025 am 12:06 AM

The best MySQLVARCHAR column length selection should be based on data analysis, consider future growth, evaluate performance impacts, and character set requirements. 1) Analyze the data to determine typical lengths; 2) Reserve future expansion space; 3) Pay attention to the impact of large lengths on performance; 4) Consider the impact of character sets on storage. Through these steps, the efficiency and scalability of the database can be optimized.

MySQL BLOB : are there any limits?MySQL BLOB : are there any limits?May 08, 2025 am 12:22 AM

MySQLBLOBshavelimits:TINYBLOB(255bytes),BLOB(65,535bytes),MEDIUMBLOB(16,777,215bytes),andLONGBLOB(4,294,967,295bytes).TouseBLOBseffectively:1)ConsiderperformanceimpactsandstorelargeBLOBsexternally;2)Managebackupsandreplicationcarefully;3)Usepathsinst

MySQL : What are the best tools to automate users creation?MySQL : What are the best tools to automate users creation?May 08, 2025 am 12:22 AM

The best tools and technologies for automating the creation of users in MySQL include: 1. MySQLWorkbench, suitable for small to medium-sized environments, easy to use but high resource consumption; 2. Ansible, suitable for multi-server environments, simple but steep learning curve; 3. Custom Python scripts, flexible but need to ensure script security; 4. Puppet and Chef, suitable for large-scale environments, complex but scalable. Scale, learning curve and integration needs should be considered when choosing.

MySQL: Can I search inside a blob?MySQL: Can I search inside a blob?May 08, 2025 am 12:20 AM

Yes,youcansearchinsideaBLOBinMySQLusingspecifictechniques.1)ConverttheBLOBtoaUTF-8stringwithCONVERTfunctionandsearchusingLIKE.2)ForcompressedBLOBs,useUNCOMPRESSbeforeconversion.3)Considerperformanceimpactsanddataencoding.4)Forcomplexdata,externalproc

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools