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How to test the storage performance of a MySQL connection from the command line?

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Release: 2023-06-29 17:45:11
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How to test the storage performance of MySQL connection in the command line?

As a commonly used relational database management system, MySQL is widely used in various applications and services. For the storage performance of MySQL connections, we can test and evaluate it through some command line tools. This article will introduce how to use sysbench in the command line to perform storage performance testing of MySQL connections.

sysbench is a multi-threaded benchmark testing tool that is widely used to test the performance of different types of systems. It provides a series of test modes, including CPU performance, file I/O performance and database performance. In our tests, we will use sysbench's OLTP test mode to simulate the load of database operations and evaluate the storage performance of MySQL connections.

Before starting the test, we need to install sysbench and MySQL client tools.

  1. Install sysbench

You can use the following command to install sysbench on the Ubuntu system:

sudo apt-get install sysbench
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  1. Install MySQL client

We need to install the MySQL client tool to establish a connection with the MySQL server. You can use the following command to install the MySQL client on the Ubuntu system:

sudo apt-get install mysql-client-core-5.x
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  1. Test preparation

Before conducting the storage performance test, we need to prepare a test database and submit it to Insert appropriate amount of data into it. You can log in to the MySQL server and create a test database using the following command:

mysql -u <用户名> -p -e "CREATE DATABASE testdb;"
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Then, we will use the prepare command of sysbench to insert data into the test database. The example command is as follows:

sysbench --db-driver=mysql --mysql-user=<用户名> --mysql-password=<密码> --mysql-db=testdb --oltp-table-size=<表大小> --mysql-host=<主机名> --mysql-port=<端口号> --threads=<线程数> --time=<测试时长> --percentile=99 prepare
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where <Username> and <Password> are your MySQL username and password respectively; &lt ;Table size> is the size of the data table to be inserted, which can be adjusted according to needs; <Host name> and <Port number> are MySQL The host name and port number of the server; <Number of threads> is the number of concurrent connections, used to simulate multiple clients operating the database at the same time; <Test duration> is The duration of the test; --percentile=99 means recording 99% of the response time.

  1. Run the test

After the test preparation is completed, we can use the run command of sysbench to run the storage performance test. The example command is as follows:

sysbench --db-driver=mysql --mysql-user=<用户名> --mysql-password=<密码> --mysql-db=testdb --oltp-table-size=<表大小> --mysql-host=<主机名> --mysql-port=<端口号> --threads=<线程数> --time=<测试时长> --percentile=99 run
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After the test run is completed, sysbench will output some performance indicators, including the number of transactions processed per second (transactions per second), average response time (average latency) and 99% response time, etc. .

  1. Clean test data

After the test is completed, in order to keep the environment clean, we can use the sysbench cleanup command to delete the test data. The sample command is as follows:

sysbench --db-driver=mysql --mysql-user=<用户名> --mysql-password=<密码> --mysql-db=testdb --mysql-host=<主机名> --mysql-port=<端口号> --threads=<线程数> --time=<测试时长> cleanup
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When performing storage performance testing of MySQL connections, we need to pay attention to the following points:

  • Choose the appropriate table size and number of concurrent connections to simulate actual load in the application scenario.
  • For larger tables, partitioning technology can be used to optimize performance.
  • Monitor system resource usage, especially CPU and memory usage.
  • The hardware configuration and performance of the database server will also have an impact on the test results and need to be considered comprehensively.

Through the above steps, we can use sysbench in the command line to test the storage performance of the MySQL connection. These test results can help us evaluate the performance of the system and perform tuning and optimization to improve the storage performance of the database.

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