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PostgreSQLquery~10 mins

pg_stat_statements for slow queries in PostgreSQL - Step-by-Step Execution

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Concept Flow - pg_stat_statements for slow queries
Enable pg_stat_statements extension
Collect query execution stats
Query pg_stat_statements view
Filter queries by high total_time or mean_time
Identify slow queries for optimization
This flow shows how PostgreSQL collects query stats with pg_stat_statements and how to find slow queries by querying its view.
Execution Sample
PostgreSQL
SELECT query, calls, total_time, mean_time
FROM pg_stat_statements
ORDER BY total_time DESC
LIMIT 5;
This query fetches the top 5 queries with the highest total execution time from pg_stat_statements.
Execution Table
StepActionEvaluationResult
1Enable pg_stat_statements extensionCREATE EXTENSION pg_stat_statements;Extension enabled
2Run queries in databaseVarious queries executedpg_stat_statements collects stats
3Query pg_stat_statements for top slow queriesSELECT query, calls, total_time, mean_time ...Returns rows with query stats
4Order by total_time DESCSort queries by total execution timeTop slow queries appear first
5Limit to 5 rowsRestrict output to 5 queries5 slowest queries shown
6ExitNo more rows to fetchQuery ends
💡 Query ends after returning top 5 slow queries by total_time
Variable Tracker
VariableStartAfter Step 3After Step 4Final
pg_stat_statements rowsEmpty (before queries run)Collected stats for all queriesSorted by total_time DESCTop 5 slow queries
Key Moments - 3 Insights
Why do we order by total_time instead of mean_time?
Ordering by total_time shows queries that consume the most total time overall, which helps find queries that impact performance the most, as seen in execution_table step 4.
What does enabling the extension do?
Enabling pg_stat_statements starts collecting query stats automatically, as shown in execution_table step 1.
Why limit the output to 5 rows?
Limiting to 5 rows focuses on the top slowest queries, making it easier to analyze, as shown in execution_table step 5.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, at which step do we sort queries by total execution time?
AStep 5
BStep 4
CStep 3
DStep 2
💡 Hint
Refer to the 'Action' and 'Evaluation' columns in execution_table row for Step 4.
According to variable_tracker, what is the state of pg_stat_statements rows after Step 3?
ACollected stats for all queries
BEmpty before queries run
CSorted by total_time DESC
DTop 5 slow queries
💡 Hint
Check the 'After Step 3' column for 'pg_stat_statements rows' in variable_tracker.
If we remove the LIMIT clause, how would the execution_table change at Step 5?
AIt would show queries unordered
BIt would still show only 5 rows
CIt would show all queries sorted by total_time
DIt would cause an error
💡 Hint
Look at Step 5 in execution_table where LIMIT restricts output to 5 rows.
Concept Snapshot
pg_stat_statements tracks query execution stats.
Enable it with CREATE EXTENSION pg_stat_statements;
Query pg_stat_statements view to see queries and their times.
Order by total_time DESC to find slow queries.
Use LIMIT to focus on top slow queries.
Full Transcript
To find slow queries in PostgreSQL, first enable the pg_stat_statements extension. This collects statistics about all queries run. Then, query the pg_stat_statements view to get details like query text, number of calls, total execution time, and average execution time. Sort the results by total_time in descending order to see which queries consume the most time overall. Limiting the output to a few rows helps focus on the slowest queries. This process helps identify queries that need optimization to improve database performance.