Configuring MySQL for optimal disk I/O performance
Jul 02, 2025 pm 04:18 PMMySQL disk I/O performance optimization can be achieved by adjusting storage engine configuration, log policy, operating system settings and data management. 1. Use InnoDB and reasonably configure innodb_buffer_pool_size (set to 50% to 80% of physical memory), and enable innodb_file_per_table and innodb_flush_method=O_DIRECT. 2. Adjust the log policy, increase innodb_log_file_size and set innodb_flushlog_at_trx_commit to 0 or 2 according to consistency requirements. 3. Use the XFS/ext4 file system at the operating system level. Noatime/nodiratime is enabled during mount, RAID is selected for 10 (HDD) or 0 (SSD), and the scheduler is selected for CFQ/deadline. 4. Partition large tables and archive historical data regularly to reduce I/O pressure.
MySQL's disk I/O performance directly affects the database's response speed and overall throughput. If you find that queries are slower, write latency increases, or server load increases, it is likely that disk I/O becomes the bottleneck. To optimize MySQL's disk I/O configuration, you can start from storage engine settings, log policies, caching mechanisms and other aspects.

1. Use the appropriate storage engine and adjust the relevant configuration
InnoDB is the most commonly used storage engine at present, and it supports transaction, row-level locking, and crash recovery. To improve disk I/O performance, you must first ensure that InnoDB is configured reasonably:

Enlarge
innodb_buffer_pool_size
This is one of the most important parameters to cache table data and indexes. It is recommended to set this value to 50% to 80% of physical memory, provided that your data volume allows. The bigger the better, but don't affect the operation of other services in the system.-
Enable
innodb_file_per_table
A separate file for each form is easier to manage and maintain, and also convenient for space recycling (such asOPTIMIZE TABLE
). Use
innodb_flush_method=O_DIRECT
It can avoid double cache between the operating system's page cache and the InnoDB buffer pool, reducing memory waste, and is especially suitable for high concurrency scenarios.
2. Rationally configure logs and disk flushing strategies
Logs are the key to ensuring data consistency, but they can also affect disk write performance. Here are some directions that can be adjusted:
Adjust
innodb_log_file_size
Increasing the Redo Log file size (such as 1GB to 2GB each) can reduce the checkpoint refresh frequency and thus reduce disk pressure. Note: Modifying this parameter requires restarting and the old log will be cleared.-
Control
innodb_flush_log_at_trx_commit
settings- Default value 1: Flash disk every time you submit it, which is the safest, but the slowest.
- Set to 2: Brush the disk once per second, the performance is better and the risk is slightly higher.
- Set to 0: The disk is only flushed per second, the performance is best, but the data may be lost up to one second.
If your application does not have high consistency requirements, such as for logging or analysis tasks, you can relax this setting appropriately.
3. Adjust the settings at the operating system and file system level
MySQL does not run in isolation, and the configuration of the underlying operating system will also significantly affect disk I/O performance:
Using the right file system
XFS or ext4 is recommended, which perform better when dealing with large numbers of small files and random read and write.Use the noatime and nodiratime options when mounting the file system
Reduce additional I/O caused by access time updates.RAID configuration and disk scheduler
If you are using a mechanical hard disk, RAID 10 is an ideal choice; for SSD, RAID 0 can also be considered. Additionally, the disk scheduler selection on Linux is more database-friendly for CFQ or deadline.
4. Use partitioning and archive to reduce single table volume
When a table becomes very large, I/O pressure can still be high even with indexes. It can be mitigated by:
Partitioning by time or range
Splitting a large table into multiple physical subtables allows queries to access only necessary parts and reduce the number of disk scans.Regularly archive historical data
Migrating old data that is not often accessed to a separate table or database can not only improve the performance of the primary table, but also simplify the backup and recovery process.
Basically that's it. Configuring MySQL disk I/O optimization is not complicated, but many details are easily overlooked, especially the buffer pool size, Redo Log settings, and file system-level coordination. Adjust these places and you can usually see significant performance improvements.
The above is the detailed content of Configuring MySQL for optimal disk I/O performance. For more information, please follow other related articles on the PHP Chinese website!

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