PostgresDB Query Timeouts

What is PostgresDB Query Timeouts

Identify Slow Queries:Use the following query to find slow queries:SELECT pid, now() - pgstatactivity.querystart AS duration, query, stateFROM pgstatactivityWHERE (now() - pgstatactivity.querystart) > interval '1 minute'AND state = 'active';Check for Locks:Run this query to identify if any queries are being locked:SELECT bl.pid AS blockedpid, a.usename AS blockeduser, ka.query AS blockingstatement, now() - ka.querystart AS blockingduration, kl.pid AS blockingpid, ka.usename AS blockinguser, a.query AS blockedstatementFROM pgcatalog.pglocks blJOIN pgcatalog.pgstatactivity a ON a.pid = bl.pidJOIN pgcatalog.pglocks kl ON kl.transactionid = bl.transactionid AND kl.pid != bl.pidJOIN pgcatalog.pgstatactivity ka ON ka.pid = kl.pidWHERE NOT bl.granted;Analyze Query Performance:Use EXPLAIN or EXPLAIN ANALYZE before your query to see the execution plan and where the query might be inefficient.EXPLAIN ANALYZE SELECT * FROM yourtable WHERE yourconditions;Increase Statement Timeout Temporarily:Temporarily increase the statement timeout for your session to see if completing the transaction is possible with more time. This is a diagnostic step, not a solution.SET statement_timeout = '10min';Check and Increase Work Memory (if necessary):Check current work memory setting:SHOW work_mem;Increase work memory for the current session to improve query performance:SET work_mem = '256MB'; -- Adjust based on your server's capacityReview and Adjust Max Connections:If your database is hitting the max connections limit, this can cause timeouts. Check the current setting:SHOW max_connections;Consider increasing max connections or use a connection pooler.Monitor Database Performance Metrics:Check CPU, memory, disk I/O, and network usage to identify any hardware bottlenecks.Terminate Long-Running Queries (if absolutely necessary):Identify the PID of the problematic query from the first step, then terminate it cautiously:SELECT pg_cancel_backend(pid);Or, to forcefully terminate:SELECT pg_terminate_backend(pid);Use termination commands judiciously, as they can affect ongoing transactions.