Introduction:
Index usage and disk I/O are crucial factors in optimizing the performance of MySQL databases. Monitoring and analyzing how indexes are utilized and their impact on disk I/O can help identify potential bottlenecks and improve 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, allowing database administrators to gain valuable insights into the efficiency of their queries and storage system.
SQL Query to Monitor Index Usage and Disk I/O:
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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 is crucial for optimizing MySQL 8 database performance. By using the provided SQL query with the MySQL 8 Performance Schema, database administrators can gain valuable insights into how indexes are being utilized and their impact on disk I/O. This information can help identify and address performance bottlenecks, leading to improved query execution times and overall database efficiency. Regularly monitoring index usage and disk I/O can contribute significantly to the successful management of large-scale MySQL databases and enhance the overall user experience.
