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Tutorials PostgreSQL Tutorial

Trigger Functions — Complete Guide

Trigger Functions — 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 44 of 100

Trigger Functions

SQL ✓Advanced

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

What is this?

Trigger functions are PL/pgSQL (or other) routines returning TRIGGER type. They access OLD and NEW row records and return NEW (or NULL to cancel in BEFORE triggers).

Why should you care?

PostgresVerse updated_at column stays fresh on every row change without each API developer remembering to set it.

See it live — copy this example

Run in pgAdmin or psql.

CREATE OR REPLACE FUNCTION touch_updated_at()
RETURNS trigger
LANGUAGE plpgsql
AS $$
BEGIN
  NEW.updated_at := now();
  RETURN NEW;
END;
$$;

CREATE TRIGGER trg_products_touch
BEFORE UPDATE ON products
FOR EACH ROW
EXECUTE FUNCTION touch_updated_at();

What happened?

  • BEFORE UPDATE assigns NEW.updated_at to current time and returns NEW so update proceeds with fresh timestamp.
  • Same function reused on many tables.

Practice next

  1. Add updated_at timestamptz to products.
  2. Create function and trigger.
  3. UPDATE name only; verify updated_at changed.
  4. Log OLD and NEW json to audit table in trigger function.
  5. Use TG_OP to branch INSERT vs UPDATE logic.

Remember

RETURNS trigger and special variables OLD/NEW. RETURN NULL skips row change in BEFORE triggers. Share one function across multiple triggers.

PostgresVerse sync timestamps

Mobile cache uses updated_at for delta sync across products and orders.

Outcome: Cache invalidation works even for admin SQL fixes in pgAdmin.

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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