PostgresDB Query Timeouts

Queries timing out due to resource constraints or inefficiencies in query execution.
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What is

PostgresDB Query Timeouts

 ?
  1. Identify Slow Queries:
    • Use the following query to find slow queries:SELECT pid, now() - pgstatactivity.querystart AS duration, query, state
      FROM pgstat
      activity
      WHERE (now() - pgstat
      activity.querystart) > interval '1 minute'
      AND state = 'active';
  2. 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 blocking
      duration, kl.pid AS blockingpid, ka.usename AS blockinguser,
      a.query AS blockedstatement
      FROM pg
      catalog.pglocks bl
      JOIN pg
      catalog.pgstatactivity a ON a.pid = bl.pid
      JOIN pgcatalog.pg
      locks kl ON kl.transactionid = bl.transactionid AND kl.pid != bl.pid
      JOIN pgcatalog.pg
      statactivity ka ON ka.pid = kl.pid
      WHERE NOT bl.granted;
  3. 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;
  4. 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';
  5. 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 capacity
  6. Review 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.
  7. Monitor Database Performance Metrics:
    • Check CPU, memory, disk I/O, and network usage to identify any hardware bottlenecks.
  8. 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);
  9. Use termination commands judiciously, as they can affect ongoing transactions.
Attached error: 
PostgresDB Query Timeouts
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