Web Reference: Feb 26, 2026 · The ANALYZE option causes the statement to be actually executed, not only planned. Then actual run time statistics are added to the display, including the total elapsed time expended within each plan node (in milliseconds) and the total number of rows it actually returned. 4 days ago · Conclusion Buffer cache analysis bridges the gap between theory and reality in PostgreSQL performance tuning. By combining real-time cache inspection with long-term I/O statistics, you gain a clear picture of how memory is actually used—and whether changes to shared_buffers will deliver tangible benefits. Use EXPLAIN (ANALYZE, BUFFERS) always, not just EXPLAIN ANALYZE – so you can see the actual IO work done by Postgres when executing queries. This gives a better understanding of the data volumes involved.
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