Troubleshooting Query Performance Latency in Amazon RDS for MySQL
Monitoring query performance latency in Amazon RDS for MySQL typically involves capturing and analyzing query execution times. You can use SQL scripts to query the performance schema or the slow query log for this purpose. Here's an example script that you can use to monitor query performance latency:
Script to Monitor Query Performance Latency
This script focuses on the performance_schema tables. It assumes that the performance schema is enabled and configured properly in your RDS instance.
-- Ensure PERFORMANCE_SCHEMA is enabled
SELECT @@performance_schema;
-- Check the status of the Consumer for Statements
SELECT * FROM performance_schema.setup_consumers WHERE NAME LIKE '%statements%';
-- If necessary, enable the consumer for collected statement digests
UPDATE performance_schema.setup_consumers SET ENABLED = 'YES' WHERE NAME = 'statements_digest';
-- Query to monitor statement performance
SELECT
schema_name,
digest_text AS query,
COUNT_STAR AS exec_count,
SUM_TIMER_WAIT/1000000000000 AS total_latency_sec,
AVG_TIMER_WAIT/1000000000000 AS avg_latency_sec,
MAX_TIMER_WAIT/1000000000000 AS max_latency_sec,
SUM_LOCK_TIME/1000000000000 AS total_lock_time_sec,
SUM_ROWS_SENT,
SUM_ROWS_EXAMINED,
SUM_ROWS_AFFECTED
FROM
performance_schema.events_statements_summary_by_digest
WHERE
schema_name IS NOT NULL -- Filter out NULL schemas
ORDER BY
total_latency_sec DESC
LIMIT 10; -- Adjust the limit as necessary
Notes
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Alternative: Slow Query Log
If you prefer to use the slow query log:
AWS CloudWatch Integration
Additionally, for a more holistic approach, integrate AWS CloudWatch with your RDS instance for monitoring and setting alarms on key performance metrics like CPU utilization, database connections, and more. This, combined with SQL-level monitoring, provides a robust solution for performance monitoring.