Introduction:
Index usage and disk I/O play a crucial role in optimizing MySQL database performance. Monitoring how indexes are utilized provides valuable insights. Analyzing their impact on disk I/O helps identify potential bottlenecks and improves query execution times.
In this blog, we will explore how to use the MySQL 8 Performance Schema to monitor index usage and disk I/O. This approach enables database administrators to evaluate query efficiency and gain deeper insights into their storage system.
SQL Query to Monitor Index Usage and Disk I/O:
SELECT
OBJECT_SCHEMA AS DATABASE_NAME,
OBJECT_NAME AS TABLE_NAME,
INDEX_NAME AS INDEX_NAME,
COUNT_READ AS Total_Reads,
COUNT_WRITE AS Writes,
COUNT_FETCH AS Fetches,
SUM_TIMER_READ AS Read_Latency,
SUM_TIMER_WRITE AS Write_Latency,
SUM_TIMER_FETCH AS Fetch_Latency,
(COUNT_READ + COUNT_WRITE + COUNT_FETCH) AS Total_IO
FROM
performance_schema.table_io_waits_summary_by_index_usage
GROUP BY OBJECT_SCHEMA, OBJECT_NAME, INDEX_NAME, COUNT_READ, COUNT_WRITE, COUNT_FETCH, SUM_TIMER_READ, SUM_TIMER_WRITE, SUM_TIMER_FETCH, (COUNT_READ + COUNT_WRITE + COUNT_FETCH)
ORDER BY
Total_IO DESC;Conclusion:
Monitoring Index usage and disk I/O plays a crucial role in optimizing MySQL 8 database performance. By executing the provided SQL query with the MySQL 8 Performance Schema, database administrators can gain valuable insights. They can analyze how indexes are being utilized and assess their impact on disk I/O.
This information helps identify performance bottlenecks and enables administrators to address them effectively. As a result, query execution times improve, and overall database efficiency increases. Regularly monitoring index usage and disk I/O significantly contributes to managing large-scale MySQL databases successfully. Additionally, it enhances the overall user experience.
