Lesson 47/100

Tutorials PostgreSQL Tutorial

Automation Workflows — Complete Guide

Automation Workflows — 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 47 of 100

Automation Workflows

SQL ✓Advanced

Advanced · 2 — Production · ~6 min · PostgreSQL — Functions & Automation

What is this?

Automation workflows schedule SQL, vacuum, refresh materialized views, and call procedures via pg_cron, systemd timers, or external orchestrators hitting PostgresVerse.

Why should you care?

Flipkart-scale PostgresVerse refreshes search materialized view nightly and archives old partitions without manual DBA clicks.

See it live — copy this example

Run in pgAdmin or psql.

-- pg_cron example (extension installed)
SELECT cron.schedule(
  'refresh_product_search',
  '0 2 * * *',
  $$REFRESH MATERIALIZED VIEW CONCURRENTLY product_search_mv;$$
);

What happened?

  • cron.schedule registers job name, cron expression (2 AM daily), and SQL text.
  • Extension runs inside database — alternative is Windows Task Scheduler calling psql -f script.sql.

Practice next

  1. CREATE EXTENSION pg_cron if available on your build.
  2. Create simple materialized view product_search_mv.
  3. Schedule REFRESH CONCURRENTLY job.
  4. Schedule weekly VACUUM ANALYZE on hot table only.
  5. Chain procedure CALL in scheduled job after COPY ingest.

Remember

pg_cron schedules SQL inside PostgreSQL. External cron plus psql works everywhere. Automate ANALYZE, partition creation, and MV refresh.

PostgresVerse search refresh

Product search MV stale during day; 2 AM refresh keeps browse fast without realtime join cost.

Outcome: Search P95 stable; ops gets cron.job_run_details alert on failure.

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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