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How to use MTR to test and verify database transaction concurrency control

王林
王林Original
2023-07-12 22:25:09867browse

How to use MTR to test and verify database transaction concurrency control

Overview:
Database transaction concurrency control is an important mechanism to ensure concurrent access to data in the database system. Under concurrent operations, some problems may occur, such as dirty reads, non-repeatable reads, phantom reads, etc. In order to ensure that the database system can correctly handle concurrent operations, the concurrency control mechanism needs to be tested and verified. This article will introduce how to use MySQL Test Framework (MTR) to test and verify database transaction concurrency control.

1. Introduction to MTR
MySQL Test Framework is a set of automated testing framework officially provided by MySQL. It is mainly used for functional testing, regression testing, etc. of the MySQL database. MTR is developed based on Perl and Python. By writing test scripts and parameterized files, it can simulate various scenarios to test the database.

2. Test environment deployment

  1. Installing MySQL Server and MTR
    First, you need to install MySQL Server and MTR on the test server. You can download MySQL Installer from the official download address (https://dev.mysql.com/downloads/installer/) and select the appropriate version for installation. After the installation is completed, MTR will also be installed in the MySQL installation directory.
  2. Create a test database and table
    On MySQL Server, create a test database and table for testing concurrency control. Suppose we have created a database named "testdb" and created a table named "test_table" in it.

3. Write test cases

  1. New test script
    In the test directory of MTR, create a new test script file named "concurrency_control.test". The test script consists of multiple test cases, and each test case will be executed by MTR in sequence.
  2. Writing test cases
    The following is a simple test case used to test the transaction concurrency control mechanism of the database.

--source include/have_innodb.inc

--disable_query_log
--disable_warnings
create table t1 (id int primary key, value int) engine=InnoDB ;
insert into t1 (id, value) values ​​(1, 10);

--execute_parallel
begin;
update t1 set value = 20 where id = 1;
select * from t1 where id = 1;
commit;

--source sync_with_master.inc

This test case first creates a table named "t1" and inserts A piece of data. Then use "begin" to start a transaction, update the data in the table in the transaction, and query the updated results. Finally use "commit" to commit the transaction.

--The execute_parallel directive tells MTR that the test case will be executed concurrently.

4. Run the test

  1. Write parameterized file
    In the test directory of MTR, create a new parameterized file named "concurrency_control.test". Parameterized files can be used to configure the execution parameters of test cases, such as the number of concurrencies, execution time, etc.

The following is an example of a simple parameterized file:

--source include/have_innodb.inc

--globals
concurrency = 10
duration = 60

This parameterized file specifies the number of concurrencies as 10 and the execution time as 60 seconds.

  1. Run the test
    Open the terminal, switch to the "mysql-test" directory under the MTR installation directory, and execute the following command to run the test:

./mysql -test-run.pl concurrency_control

MTR will execute the test cases in the test script sequentially and perform concurrent testing according to the configuration in the parameterization file.

Summary:
Using MTR to test and verify database transaction concurrency control can help developers discover problems that may be caused by concurrent operations and take timely measures to solve them. At the same time, MTR provides rich interfaces and functions, and more complex test scripts and parameterized files can be written according to actual needs. Through continuous testing and verification, the correctness and stability of the database system in concurrent access scenarios are ensured.

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