Lesson 46/100

Tutorials PostgreSQL Tutorial

PL/pgSQL — Complete Guide

PL/pgSQL — 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 46 of 100

PL/pgSQL

SQL ✓Advanced

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

What is this?

PL/pgSQL is PostgreSQL procedural language — variables, IF, loops, exceptions, and SQL embedded in functions and procedures. It compiles to server-side bytecode.

Why should you care?

PostgresVerse loyalty points calculation spans tiers and promos — one plpgsql function keeps logic near data.

See it live — copy this example

Run in pgAdmin or psql.

CREATE OR REPLACE FUNCTION apply_loyalty_points(p_customer_id bigint, p_amount numeric)
RETURNS numeric
LANGUAGE plpgsql
AS $$
DECLARE
  pts numeric;
BEGIN
  IF p_amount >= 1000 THEN
    pts := floor(p_amount / 100) * 2;
  ELSE
    pts := floor(p_amount / 100);
  END IF;
  UPDATE customers SET loyalty_points = loyalty_points + pts
  WHERE customer_id = p_customer_id;
  RETURN pts;
END;
$$;

SELECT apply_loyalty_points(7, 1500);

What happened?

  • DECLARE defines pts.
  • IF doubles points for orders ≥1000.
  • UPDATE adds to customer.
  • RETURN sends points back to caller.

Practice next

  1. Add loyalty_points column to customers.
  2. Create function and SELECT apply_loyalty_points.
  3. Wrap body in EXCEPTION WHEN OTHERS for logging pattern.
  4. Rewrite with CASE instead of IF chain.
  5. Add STRICT SELECT INTO to error when no row found.

Remember

plpgsql adds control flow to SQL. DECLARE, BEGIN, END structure blocks. Use FOR loop FOR rec IN SELECT for row iteration.

PostgresVerse rewards engine

Checkout calls apply_loyalty_points in same transaction as order insert.

Outcome: Points always match paid amount even if app server crashes mid-request.

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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