Lesson 83/100

Tutorials PostgreSQL Tutorial

Query Monitoring — Complete Guide

Query Monitoring — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of PostgreSQL Tutorial on Toolliyo Academy.

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PostgreSQL Tutorial · Lesson 83 of 100

Query Monitoring

SQL ✓Advanced

Advanced · 2 — Production · ~10 min · PostgreSQL — Monitoring & Troubleshooting

What is this?

Query monitoring combines pg_stat_statements, pg_stat_activity, auto_explain, log_min_duration_statement, and dashboards (Grafana, RDS PI) for continuous visibility.

Why should you care?

PostgresVerse SRE needs alerts when p95 checkout latency correlates with new deploy query plan regression.

See it live — copy this example

Run in pgAdmin or psql.

-- Enable auto explain in session lab
LOAD 'auto_explain';
SET auto_explain.log_min_duration = '200ms';
SET auto_explain.log_analyze = on;

SELECT o.* FROM orders o
JOIN customers c ON c.customer_id = o.customer_id
WHERE c.email LIKE '%@flipkart.com';

What happened?

  • auto_explain logs EXPLAIN ANALYZE for queries exceeding 200ms to server log.
  • Combined with pg_stat_statements you get aggregate plus per-slow occurrence plans.

Practice next

  1. Set auto_explain in postgresql.conf or session.
  2. Run intentionally heavy JOIN.
  3. Tail log for EXPLAIN output.
  4. Export pg_stat_statements to Prometheus postgres_exporter.
  5. Set statement_timeout on role analyst to 5min cap.

Remember

Layer stats view, logs, and APM. auto_explain captures plans of slow queries automatically. Baseline before sale events.

PostgresVerse Grafana board

Dashboard plots top query total time and active sessions during sale.

Outcome: Rollback decision made in 10 min when new deploy spikes mean_ms.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain SQL queries in the context of PostgreSQL.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define SQL queri…
Mid Detailed
What are common mistakes teams make with Schema design when using PostgreSQL?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Schema de…
Senior Detailed
How would you debug a production issue related to Transactions in a PostgreSQL application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Transacti…
Mid Detailed
Compare two approaches to Indexing—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Indexing…
Junior Detailed
Describe a real-world scenario where Normalization mattered in a PostgreSQL project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Normaliza…
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PostgreSQL Tutorial
Course syllabus

PostgreSQL Tutorial

PostgreSQL — Foundations
PostgreSQL — SQL & Queries
PostgreSQL — Indexing & Performance
PostgreSQL — Transactions & MVCC
PostgreSQL — Functions & Automation
PostgreSQL — JSONB & Modern Features
PostgreSQL — Replication & High Availability
PostgreSQL — Security & Cloud
PostgreSQL — Monitoring & Troubleshooting
PostgreSQL — Real-World Projects
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