Troubleshooting InnoDB Buffer Pool Eviction Issues

Buffer pool eviction is a common performance challenge in MySQL databases that run the InnoDB storage engine. The buffer pool is a critical component that stores frequently accessed data to improve query response times. When the buffer pool becomes full and new data needs to be loaded, existing data must be evicted. Buffer pool eviction can lead to disk reads, causing a significant performance hit. In this guide, we will explore practical tips and provide scripts to troubleshoot InnoDB buffer pool eviction issues effectively.

Understanding Buffer Pool Eviction

Before diving into troubleshooting, let’s recap how buffer pool eviction works. The InnoDB buffer pool is divided into fixed-size pages. When a query requires data that’s not already in the buffer pool, a page must be loaded from disk. If the buffer pool is full, InnoDB needs to evict some pages to accommodate new ones. Eviction decisions are critical for maintaining good performance.

Identifying Buffer Pool Eviction Issues

One common indicator of buffer pool eviction issues is a high rate of disk reads. You might observe increased I/O activity and slower query response times. To identify these issues, you can use the following script based on the table_io_waits_summary_by_table table in the performance schema:

This script retrieves the top 10 tables with the highest total read time. These tables are potential candidates for causing buffer pool eviction due to frequent disk reads.

Strategies for Mitigation

1. Optimize Queries

Identify queries that are triggering the high read activity on evicted pages. Use query optimization techniques to reduce the need for excessive disk reads.

2. Increase Buffer Pool Size

A larger buffer pool can accommodate more data, reducing the chances of eviction. However, this may not always be feasible due to memory constraints.

3. Monitor and Adjust

Regularly monitor buffer pool metrics and system resource utilization. Adjust buffer pool parameters based on observed patterns to strike a balance between memory usage and performance.

4. Prioritize Data Access

Identify critical tables and prioritize them in the buffer pool using the innodb_buffer_pool_ variables. This helps ensure that frequently accessed data stays in memory.

5. Optimize Disk I/O

Tune your storage subsystem to reduce disk I/O bottlenecks. This includes optimizing disk layout, using SSDs, and ensuring proper RAID configurations.

Example: Buffer Pool Eviction Scenario

Let’s consider an example where the buffer pool eviction issue affects the performance of a retail application. We notice high disk reads from the orders table. Using the script provided, we identify the orders table as a primary contributor to eviction. After optimizing the queries accessing this table and increasing the buffer pool size, the application’s query response times improve significantly.

OBJECT_SCHEMAOBJECT_NAMEtotal_read_time (ms)


Buffer pool eviction issues can significantly impact MySQL performance. By understanding the causes and using the provided scripts, you can effectively troubleshoot and mitigate these issues. Optimizing queries, adjusting buffer pool parameters, and monitoring system health are key strategies to ensure optimal database performance and minimize the impact of buffer pool evictions.

About Shiv Iyer 444 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.