How to use MTR to perform performance evaluation of the MySQL storage engine

How to use MTR to evaluate the performance of MySQL storage engine

Introduction:
MySQL is a common relational database management system that provides a variety of storage engines, such as InnoDB, MyISAM, etc. In order to evaluate the performance of different storage engines, MySQL provides the MTR (MySQL Test Run) tool. This article explains how to use MTR for performance evaluation and provides code examples.

1. Understand the MTR tool

MTR is a MySQL testing tool, originally used in the MySQL test suite. It has functions such as automatically executing test scripts and test frameworks, and allows users to write custom test scripts. MTR can simulate actual database workloads and provide detailed performance metrics.

2. Install the MTR tool

First, we need to install the MTR tool. MTR can be downloaded from the MySQL official website.

3. Create test cases

1. Create storage engine performance evaluation script

Create a new directory under the MySQL test suite directory and name it " engine_perf". Create a new MTR test script in this directory and name it "engine_perf.test".

Edit the script file and write the test script example as follows:

---engine_perf.test---

Test case description

--source include/have_innodb.inc #Introduce InnoDB storage engine
--source include/have_myisam.inc #Introduce MyISAM storage engine

--disable_query_log #Disable MTR query log

InnoDB storage engine Test

--echo
#--echo # InnoDB storage engine test
--echo

#--disable_query_log # Disable MTR query log

Create InnoDB table

CREATE TABLE innodb_table (
id int(11) not null,
name varchar(100) not null,
primary key (id)
) engine=InnoDB;

--let $start_time=SELECT UNIX_TIMESTAMP(); # Record start time

Insert 10000 pieces of data into the InnoDB table

SET @i = 1;
WHILE @i <= 10000 DO
INSERT INTO innodb_table (id, name) VALUES (@i, CONCAT( 'Name', @i));
SET @i = @i 1;
END WHILE;

--let $end_time=SELECT UNIX_TIMESTAMP(); # Record end time

--enable_query_log # Enable MTR query log

Output performance indicators

--echo InnoDB storage engine test results:
--eval SELECT $end_time-$start_time as execution_time ;

--disable_query_log # Disable MTR query log

MyISAM storage engine test

--echo
#--echo #MyISAM storage engine test
--echo

#--disable_query_log # Disable MTR query log

Create MyISAM table

CREATE TABLE myisam_table (
id int(11) not null,
name varchar(100) not null,
primary key (id)
) engine=MyISAM;

--let $start_time=SELECT UNIX_TIMESTAMP(); # Record start time

Insert 10,000 pieces of data into the MyISAM table

SET @i = 1;
WHILE @i <= 10000 DO
INSERT INTO myisam_table (id, name) VALUES (@i, CONCAT('Name', @i));
SET @i = @i 1;
END WHILE ;

--let $end_time=SELECT UNIX_TIMESTAMP(); # Record end time

--enable_query_log # Enable MTR query log

Output performance indicators

--echo MyISAM storage engine test results:
--eval SELECT $end_time-$start_time as execution_time;

--disable_query_log #Disable MTR query log

The above is one Basic test script. It evaluates the performance of different storage engines by creating two tables, InnoDB and MyISAM, and inserting 10,000 pieces of data into the tables. After each storage engine test is completed, the execution time will be output.

4. Run the test

1. Enter the MySQL test suite directory in the terminal.
2. Run the MTR test script.

./mtr engine_perf

MTR will execute the test script and output performance indicators.

The code example is just a basic test script that you can modify and extend according to your actual needs. By writing more complex test scripts, you can conduct a more comprehensive and detailed performance evaluation of MySQL's storage engine.

Conclusion:

This article introduces how to use MTR to perform performance evaluation of the MySQL storage engine and provides a basic test script example. By using MTR tools, we can simulate actual database workloads and obtain detailed performance indicators to evaluate the performance of different storage engines. I hope this article will help you understand the MTR tool and evaluate the performance of the MySQL storage engine.

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