How to implement MySQL underlying optimization: Advanced use and analysis of performance testing and tuning tools

How to realize the underlying optimization of MySQL: Advanced use and analysis of performance testing and tuning tools

Introduction
MySQL is a commonly used relational database management system , widely used in various Web applications and large-scale software systems. In order to ensure the operating efficiency and performance of the system, we need to perform underlying optimization of MySQL. This article describes how to use performance testing and tuning tools for advanced usage and analysis, and provides specific code examples.

1. Selection and use of performance testing tools
Performance testing tools are important tools for evaluating system performance and bottlenecks. We can choose the following common performance testing tools to perform MySQL performance testing:

1. Sysbench
   Sysbench is a powerful multi-threaded performance testing tool. It supports multiple test modes, including database test, file IO test, CPU and memory test, etc. The following is a simple example of using Sysbench for database performance testing:

First, install Sysbench and prepare test data.

$ sudo apt-get install sysbench
$ sysbench --mysql-host=localhost --mysql-port=3306 --mysql-user=root --mysql-db=test prepare

Then, run the test and use the following command to count the database read and write performance.

$ sysbench --mysql-host=localhost --mysql-port=3306 --mysql-user=root --mysql-db=test --db-driver=mysql --report-interval=10 --time=60 --threads=16 --rate=0 --percentile=99.9 --oltp-read-only=on --oltp-test-mode=complex --oltp-reconnect-mode=transaction --oltp -table-size=10000000 --oltp-tables-count=16 --oltp-read-only-pct=95 --oltp-point-selects=5 --oltp-simple-ranges=5 --oltp-sum- ranges=0 --oltp-order-ranges=0 --oltp-distinct-ranges=0 --oltp-index-updates=0 --oltp-non-index-updates=0 --oltp-inserts=0 -- oltp-insert-delay=0 --oltp-skip-trx=off --oltp-test-name=oltp_read_write run

The running results will include various performance indicators, such as queries per second (TPS), Delay, QPS, etc.

2. BenchmarkSQL
   BenchmarkSQL is an open source benchmark testing tool suitable for testing database workloads of various sizes. Its core is a multi-threaded client written in Java, which can simulate multiple users performing database operations at the same time. The following is a simple example of performance testing using BenchmarkSQL:

First, install Java and download BenchmarkSQL.

$ sudo apt-get install default-jre
$ wget http://www.benchmarksql.org/dist/benchmarksql-5.0.zip
$ unzip benchmarksql-5.0.zip
$ cd benchmarksql-5.0

Then, configure the database connection information.

$ nano config.properties

Modify the following parameters to your database information:

db.driver=com.mysql.jdbc.Driver
db.connection= jdbc:mysql://localhost:3306/test
db.user=root
db.password=root

Next, run the test script.

$ ./bmexecute.sh tpcc localhost test root root 16 600

This command will execute the TPC-C benchmark in 600 seconds using 16 threads. Test results will include various performance metrics such as throughput, average response time, etc.

2. Selection and use of performance tuning tools
Performance tuning tools can help us identify performance bottlenecks of the MySQL database and provide targeted optimization suggestions. The following is an introduction and example usage of two common performance tuning tools:

1. MySQL Enterprise Monitor
   MySQL Enterprise Monitor is a performance monitoring tool officially provided by MySQL and is suitable for large-scale production environment. It can not only monitor the performance indicators of the database, but also provide suggestions and adjustments for database performance optimization. The following is a simple example of using MySQL Enterprise Monitor:

First, install MySQL Enterprise Monitor and configure it through the web interface.

Then, configure and start MySQL Enterprise Agent.

$ cd /opt/mysql/enterprise/agent
$ sudo ./mysqlmonitorctl start

Finally, monitor and analyze the performance indicators of the database through the Web interface of MySQL Enterprise Monitor, and based on Optimization is recommended.

2. Percona Toolkit
   Percona Toolkit is a set of MySQL performance tuning tools developed by Percona. It contains many utilities for database diagnostics, query analysis, and database optimization. The following is an example using the Percona Toolkit:

First, install the Percona Toolkit.

$ sudo apt-get install percona-toolkit

Then, use pt-query-digest to analyze the query log.

$ pt-query-digest /var/log/mysql/mysql-slow.log > slow_query.log

This command will analyze the MySQL slow query log and generate a detailed The report contains performance analysis of various queries and guidance on recommended optimizations.

Conclusion
This article introduces how to use performance testing and tuning tools to optimize the underlying MySQL. We can use performance testing tools to evaluate system performance and bottlenecks and perform targeted tuning. At the same time, tuning tools can help us identify performance bottlenecks and provide optimization suggestions. By using these tools appropriately, we can continuously improve the performance and efficiency of the MySQL database.

References:

1. MySQL official website: https://www.mysql.com/
2. Sysbench official website: https://github.com/akopytov/sysbench
3. BenchmarkSQL official website: http://www.benchmarksql.org/
4. MySQL Enterprise Monitor official website: https://www.mysql.com/products/enterprise/monitor.html
5. Percona Toolkit official website: https://www.percona.com/software/mysql-tools/percona-toolkit

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