Debugging queries in PostgreSQL means inspecting the execution plan, runtime statistics, and server logs to pinpoint slow steps, missing indexes, or logic errors.
EXPLAIN reveals PostgreSQL’s execution plan before it runs a query, listing join types, index usage, row estimates, and cost for every step.
Run EXPLAIN ANALYZE to execute the query and append actual time and row counts to each plan node. Compare "rows" vs. "actual rows" to spot mis-estimates.
BUFFERS shows shared/local read/write counts, helpful for I/O bottlenecks. FORMAT JSON makes the plan machine-parsable for tools like pgAdmin or pganalyze.
Enable pg_stat_statements for global query stats and auto_explain to log slow plans automatically. Both require superuser rights and a quick postgresql.conf change.
Set log_statement = 'all'
or use RAISE NOTICE
in plpgsql functions to output variable contents while keeping an eye on log volume.
Look for sequential scans on large tables, nested-loop joins on big result sets, or high "Rows Removed" counts. Add indexes or rewrite joins where seen.
Always test on production-like data, keep EXPLAIN (ANALYZE, BUFFERS)
history in version control, and document fixes inside Galaxy Collections for team reuse.
Skipping EXPLAIN before optimizing leads to blind indexing. Ignoring planner statistics causes misleading conclusions.
No; it runs the query fully, but any data-modifying statements will commit unless you wrap them in a rollback-only transaction.
Yes; EXPLAIN and EXPLAIN ANALYZE work for all users. Extensions like pg_stat_statements need superuser or elevated privileges.
No; it acquires the same locks the query itself would take and releases them right after execution.
Use pg_stat_activity to view currently running queries and pg_stat_statements for historical data.
Yes if you set auto_explain.log_min_duration
high enough (e.g., 500ms) to avoid excessive logging.