Home  >  Article  >  Database  >  How to use MTR for concurrency performance testing of MySQL database?

How to use MTR for concurrency performance testing of MySQL database?

PHPz
PHPzOriginal
2023-07-14 10:15:061527browse

How to use MTR to conduct concurrent performance testing of MySQL database?

MTR (MySQL Test Run) is a tool officially provided by MySQL for automated testing. With MTR, you can quickly and easily conduct concurrent performance testing of MySQL databases to evaluate the performance of the database under high concurrent loads. This article will introduce how to use MTR to conduct concurrency performance testing of MySQL database, and give some sample codes for reference.

1. Install MTR

MTR is a tool in the MySQL source code and requires source code to compile and install. The following are the steps to install MTR:

  1. Download the MySQL source code and unzip it.
  2. Enter the decompressed MySQL source code directory.
  3. Execute the following command to compile MTR:

    $ cmake . -DWITH_MTR=ON
    $ make
  4. After the compilation is completed, a mysql-test directory will be generated in the source code directory. Contains files related to MTR tools.
  5. Copy the files in the mysql-test directory to the appropriate location, such as /usr/local/mysql-test.

2. Write test scripts

MTR uses a special test script language to describe and execute test cases. The test script needs to contain the SQL statements required for testing and the logic for concurrent execution. The following is a sample test script mytest.test:

--source include/have_innodb.inc
--source include/have_debug.inc

# 创建测试表
create table test_table (
    id int primary key,
    name varchar(100)
) engine=innodb;

# 向测试表中插入数据
delimiter |
create procedure insert_data()
begin
    declare i int;
    set i=1;
    while (i<=1000) do
        insert into test_table values (i, concat('name', i));
        set i=i+1;
    end while;
end |
delimiter ;
call insert_data();

# 并发执行测试
--source include/concurrent.inc
connect (conn1, localhost, root,, test);
connection default;
let $I= 'select count(*) from test_table';
concurrent_insert(3, 10000, 100, 60);
disconnect conn1;

--source include/wait_for_connecion.inc

# 验证结果
--connection conn2
--send
SELECT count(*) FROM test_table;
--reap
--expect_result EXACTLY 1000

# 清理测试表
drop table test_table;

The above test script first inserts 1000 pieces of data into the test table test_table, and uses the data provided by MTR concurrent_insert function to simulate concurrent execution.

3. Execute the test

It is very simple to use MTR to execute the test script. Just execute the following command in the MTR installation directory:

$ ./mysql-test-run.pl mytest

where mytest is the file name of the test script. MTR will automatically run the test script and output the test results.

4. Analyze test results

After MTR executes the test script, it will generate a test report file. You can use mtr_report.pl to analyze the file and generate readability Better results.

$ ./mtr_report.pl <report_file>

Where601d851fd25ce92ca771df78b405ed81 is the path to the test report file. After executing the above command, an HTML file containing the test results will be generated, which can be opened in a browser for viewing and analysis.

Summary

Using MTR to conduct concurrent performance testing of MySQL database can help developers evaluate the performance of the database under high concurrent loads. By writing test scripts and executing tests, performance bottlenecks and problems can be quickly discovered and optimized. I hope this article will help you understand how to use MTR to conduct concurrent performance testing of MySQL databases.

The above is the detailed content of How to use MTR for concurrency performance testing of MySQL database?. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn