Run the SHOW FULL PROCESSLIST command along with Enhanced Monitoring.For more information, see SHOW PROFILE statement on the MySQL website. To find the states where the most time is spent, profile your slower queries.To tune a query, consider the following approaches: Query optimizationĪfter the long-running query has been identified from a slow query log or Performance Insights, consider ways to improve your query performance. It's a best practice to set this to 1-5 second intervals for more granular data points. By default, the monitoring interval for Enhanced Monitoring is 60 seconds. You can also use Enhanced Monitoring to retrieve the list of operating systems involved in your workload and the underlying system metrics. For more information about identifying usage factors, see How do I view what is using storage in an Amazon RDS DB instance that's running MySQL? The correlation of the latency metrics with either increased database connections or throughput metrics could indicate workload as the reason for slow query execution. The latency metrics indicate the amount of time taken to complete read or write disk I/O operation. Free storage space (MB): The amount of disk space not currently used by the DB instance.IOPS (read and write): The average number of disk read or write operations per second.Write and read latency: The average time for a read or write operation in milliseconds.Write and read throughput: The average number of megabytes read from or written to disk per second.Network receive throughput (MB/second): The rate of network traffic to and from the DB instance.Database connections: The number of client sessions that are connected to the DB instance.You can then use the Amazon CloudWatch metrics to check if the amount of work done on your instance has increased. You can also use the slow query log (enabled in your custom parameter group) to identify slow running queries. For more information, see Monitoring DB load with Performance Insights on Amazon RDS. The thicker color bands in the load chart indicate the wait types contributing the most to the workload. Investigate the top resource consuming waits by slicing the DB load by the number of wait events. Your Performance Insights workload can also be broken down into wait events. Then, consider modifying your instance class. If your server is overloaded, check the queries that are contributing to your workload and identify ways to optimize your queries. If your current workload exceeds the vCPU limit, then your server is overloaded. Performance Insights uses workload as its main metric instead of using the number of vCPUs for an instance. Performance Insights will provide a graphic analysis of all your queries and any waits that are contributing to increased resource consumption. To analyze the workload contributing to resource consumption, use Performance Insights. In the Amazon RDS console, check the events that occurred while your database was performing poorly. You can also check your instance status to identify any other active or scheduled processes that might be impacting database performance. You can also view performance metrics in the Amazon RDS console to monitor database performance. Use Amazon CloudWatch metrics to monitor these resources over a period of time that include days when performance was considered normal. You can monitor your workload and survey when the query performance was normal compared to when the query began to take too long to run. To understand the root cause of any database performance issues, check all the server-wide resources that your instance is using. Resolution Resource utilization (such as CPU, memory, and storage) Resource utilization (such as CPU, memory, and storage). To improve query performance, consider the following factors:
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