Will enabling slow query in mysql affect performance?

Mysql Enabling slow query will not affect performance under normal circumstances. Slow query log is a function provided by MySQL. It is used to record query statements whose execution time exceeds a certain threshold. The benefits of enabling slow query are: 1. Help Developers can find queries that take longer to execute and optimize performance; 2. Better troubleshoot database failures; 3. Provide important data for statistical analysis of the database.

Operating system for this tutorial: Windows 10 system, MySQL 8 version, Dell G3 computer.

Enabling slow query logs will have a certain impact on the performance of the MySQL database, but it usually does not cause a significant bottleneck to normal operation. The slow query log is a function provided by MySQL, which is used to record query statements whose execution time exceeds a certain threshold.

In terms of impact on performance, turning on slow query logs will cause additional I/O operations and disk writes, and these operations will consume a certain amount of system resources and storage space. Therefore, in a high-load environment, resource constraints, or extremely high performance requirements, turning on slow query logs may bring additional burden.

However, the benefit of the slow query log is that it provides a tool to identify and optimize performance bottlenecks, including the following points:

1. Performance Optimization: Slow Query Logs can help developers identify queries that take a long time to execute so they can optimize performance. By analyzing slow query logs, you can optimize query statements, add appropriate indexes, adjust configuration parameters, etc., to improve the response speed and overall performance of the database.

2. Troubleshooting: Slow query logs are very useful for troubleshooting database failures. When database performance degrades or response delays occur, you can determine which query statements are causing the problem by analyzing the slow query log, and then take appropriate measures to resolve the failure.

3. Statistical analysis: Slow query logs can also provide important data for statistical analysis of the database. Various statistical information, such as query frequency, query time, access pattern, etc., can be obtained through slow query logs for performance evaluation and decision making.

Therefore, although turning on the slow query log will have a certain performance impact, since it provides important support for optimizing and troubleshooting database performance problems, generally speaking, turning on the slow query log is A recommended approach. However, in scenarios with high load or extremely high performance requirements, you can weigh whether to enable this function based on the specific situation.

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