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Table of Contents
Know What the Buffer Pool Does
General Rule of Thumb
Watch for Over-Allocation
Monitor Usage and Adjust
Don't Forget Other Configurations
Home Database Mysql Tutorial How large should the innodb_buffer_pool_size be set to?

How large should the innodb_buffer_pool_size be set to?

Jun 17, 2025 am 09:33 AM

Setting the ideal size of innodb_buffer_pool_size requires based on the dataset size, server memory and whether the service is exclusive. Usually for dedicated MySQL servers, it is recommended that the initial value is 70-80% of the system memory, such as 16GB server set to 12GB-14GB and 64GB set to 45GB-55GB; however, it is necessary to adjust the actual data volume and system load to avoid insufficient memory or use of swap partitions; evaluate the usage of buffer pool by checking the .ibd file size and monitoring tools (such as SHOW ENGINE INNODB STATUS, performance_schema, etc.), and pay attention to signals such as high disk reading, low hit rate, or frequent page eviction; at the same time, pay attention to the performance impact of other configurations such as innodb_buffer_pool_instances, innodb_io_capacity, etc. to achieve optimization.

How large should the innodb_buffer_pool_size be set to?

Setting the right size for innodb_buffer_pool_size is one of the most important configuration decisions when optimizing MySQL performance. If it's too small, your database spends too much time reading from disk. If it's too large, it can cause memory swapping or starve other parts of the system.

Here's how to approach setting this value based on real-world usage and system resources.


Know What the Buffer Pool Does

The InnoDB buffer pool is where MySQL caches table and index data. When queries access data, InnoDB first checks if it's already in the buffer pool. If it is, it avoids a slower disk read. The more frequently accessed data you can keep in memory, the better your performance will be.

This means the ideal size depends heavily on:

  • How big your dataset is
  • How much memory your server has
  • Whether MySQL is the only major service running

General Rule of Thumb

For a dedicated MySQL server, 70–80% of available RAM is a good starting point — assuming your dataset fits within that range.

Examples:

  • On a 16GB server → set to 12GB–14GB
  • On a 64GB server → set to 45GB–55GB

But don't just blindly follow percentages. You should check how much actual data you're working with and how busy your system is.

You can get a rough idea of ??how much space your data uses by checking the size of your .ibd files (assuming file-per-table is enabled).


Watch for Over-Allocation

If you set innodb_buffer_pool_size too high, especially on systems that run other services (like a web server), you might end up causing swap pressure or even OOM (out of memory) kills.

Avoid setting it so high that:

  • There's less than 1–2GB left for the OS and other processes
  • You start seeing swapping ( free or htop can help monitor)

Also note: each connection and internal operation also uses memory outside the buffer pool. So don't assume all RAM is usable just because you set the buffer pool to 90%.


Monitor Usage and Adjust

Once you've set an initial value, watch how it performs over time.

Use these tools and metrics:

  • SHOW ENGINE INNODB STATUS\G → look under "BUFFER POOL AND MEMORY"
  • performance_schema.memory_summary_global_by_event_name table
  • Monitoring tools like Prometheus Grafana or MySQL Enterprise Monitor

Key indicators:

  • High disk reads (slow queries waiting on I/O)
  • Low buffer pool hit rate (
  • Frequent page evidences

If you see those signs, consider increasing the buffer pool size — assuming you have free RAM to spare.


Don't Forget Other Configurations

While buffer pool size is critical, it doesn't work in isolation. Related settings like:

  • innodb_buffer_pool_instances
  • innodb_old_blocks_pct
  • innodb_io_capacity

can affect performance, especially at scale.

For example:

  • Use multiple instances ( innodb_buffer_pool_instances=4 or more) to reduce contention on high-concurrency settings.
  • Adjust innodb_io_capacity if you're using SSDs to let MySQL know how fast your storage is.

These are fine-tuning steps but matter once you've got the buffer pool size roughly correct.


That's basically it. It's not rocket science, but it does require some attention to your workload and available resources. Start around 70–80% of RAM for a dedicated MySQL instance, then adjust based on usage patterns and monitoring.

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