Setting up AWS RDS PostgreSQL Logs for Performance Tuning
By John Barry O'Connell

Setting up AWS RDS PostgreSQL Logs for Performance Tuning

In my last article “9 Step Performance Tuning AWS RDS PostgreSQL I left out an important part. I mentioned using the PostgreSQL logs to identify queries that are taking a long time to execute. But I did not say how.

You can use the following steps to identify slow queries using PostgreSQL logs:

  1. Enable logging: Make sure that logging is enabled in the PostgreSQL configuration. You can enable it by setting the logging_collector parameter to on and specifying the log_directory and log_filename parameters.
  2. Configure logging level: Set the log_min_duration_statement parameter to a value that is appropriate for your application. This parameter specifies the minimum duration of a statement in milliseconds that will be logged.
  3. Analyze logs: After enabling logging, you can analyze the logs to identify slow queries. The logs can be found in the directory specified by the log_directory parameter.
  4. Look for slow queries: Look for statements that have a duration greater than the value specified in the log_min_duration_statement parameter. These statements may indicate queries that are taking a long time to execute.
  5. Identify query details: Once you have identified a slow query, look at the details of the query, such as the query plan and the indexes used. This information can help you optimize the query.
  6. Analyze query performance: Use the EXPLAIN command to analyze the query plan and identify any performance bottlenecks. You can also use tools such as pg_stat_statements to collect statistics on query performance.

By following these steps, you can use PostgreSQL logs to identify queries that are taking a long time to execute and optimize them for better performance.

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