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MTR: Steps for database stress testing using the MySQL testing framework

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Release: 2023-07-12 18:45:07
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MTR: Steps for database stress testing using the MySQL testing framework

Introduction:
With the rapid development of the Internet, database stress testing has become more and more important. Database stress testing is designed to simulate the load under actual usage and evaluate the performance and stability of the database under high concurrency. This article will introduce how to use the MySQL test framework (MySQL Test Runner, MTR for short) to perform database stress testing and provide corresponding code examples.

1. Introduction to MTR
MySQL Test Runner (MTR) is an automated testing framework that is commonly used to test the correctness and performance of MySQL servers. It can automatically handle the organization, execution and result checking of test cases, and can conduct multiple concurrent tests at the same time and run on different platforms.

2. MTR installation

  1. Download MySQL source code
    MTR can be installed by downloading the MySQL source code package. You can find the latest MySQL source code package on the MySQL official website, and select the appropriate version to download.
  2. Installing dependencies
    MTR requires some dependencies to run properly, such as CMake, gcc, make, etc. Before installing MTR, make sure you have these dependencies installed.
  3. Compile and install
    Unzip the downloaded MySQL source code package, and run the following commands in the decompressed directory to compile and install MTR:
$ cmake .
$ make
$ sudo make install
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3. Use MTR for database pressure Test steps

  1. Create test case
    Create a test case directory and create a test case file with the extension .test in the directory. In this file, write the content of the test case, including the tested SQL statement, expected results, etc.

For example, create a test case file named stress_test.test:

--source include/have_innodb.inc

--disable_warnings
CREATE TABLE test_table (
    id INT PRIMARY KEY,
    name VARCHAR(100)
);
--enable_warnings

--connect(con1,localhost,root,,test)
--connection con1

INSERT INTO test_table VALUES (1, 'Alice');
INSERT INTO test_table VALUES (2, 'Bob');
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  1. Create test suite
    in the test case directory Create a test suite file named suite. In this file, list the required test case files.

For example, in the suite file, add the stress_test test case:

stress_test
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  1. Run the stress test
    in Run the following command in the test cases directory to execute all test cases in the test suite:
$ mysql-test-run.pl --force --suite=suite
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--force option is used to force the tests to run even if the MySQL server is currently running , the test can also be executed normally.

  1. View test results
    MTR will automatically run all test cases in the test suite and provide corresponding test results. By viewing the output, you can understand the test pass rate, running time and other information.

4. Sample code
The following sample code shows how to use MTR for database stress testing.

  1. Create test case filestress_test.test
--source include/have_innodb.inc

--disable_warnings
CREATE TABLE test_table (
    id INT PRIMARY KEY,
    name VARCHAR(100)
);
--enable_warnings

--connect(con1,localhost,root,,test)
--connection con1

INSERT INTO test_table VALUES (1, 'Alice');
INSERT INTO test_table VALUES (2, 'Bob');
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  1. Create test suite filesuite
stress_test
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  1. Run the stress test:
$ mysql-test-run.pl --force --suite=suite
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Summary:
This article introduces the steps of how to use the MySQL Test Framework (MTR) to perform database stress testing and provides Corresponding code examples are provided. By learning and mastering the use of MTR, you can perform database stress testing more efficiently and accurately evaluate the performance and stability of the database. In actual database applications and operation and maintenance, reasonable stress testing is very important to ensure the availability and stability of the system. I hope this article can provide some help to readers in their learning and practice of database stress testing.

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