Lesson 13/100

Tutorials PostgreSQL Tutorial

GROUP BY — Complete Guide

GROUP BY — 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 13 of 100

GROUP BY

SQLAdvanced

SQL · 1 — Queries · ~6 min · PostgreSQL — SQL & Queries

What is this?

GROUP BY collapses rows sharing the same values in listed columns so you can aggregate — COUNT, SUM, AVG, MAX. Every selected non-aggregated column must appear in GROUP BY.

Why should you care?

Flipkart merchandising asks “revenue per category this month” — one row per category, not millions of line items.

See it live — copy this example

Run in pgAdmin or psql.

SELECT
  category,
  COUNT(*) AS order_lines,
  SUM(line_total) AS revenue
FROM order_items
GROUP BY category
ORDER BY revenue DESC;

What happened?

  • Rows with the same category merge into one group.
  • COUNT and SUM compute per-group stats.
  • ORDER BY sorts the summary, not raw line items.

Practice next

  1. Create order_items(order_id, category, line_total) with sample data.
  2. Run the GROUP BY query.
  3. Try selecting product_name without grouping — read the error.
  4. Use DATE_TRUNC('month', created_at) in GROUP BY for monthly totals.
  5. Add COUNT(DISTINCT customer_id) if customer_id is on the table.

Remember

GROUP BY produces one row per distinct group key. Aggregates summarize inside each group. Filter groups with HAVING, not WHERE on aggregates.

PostgresVerse category report

Category managers pull weekly revenue by category for inventory planning.

Outcome: Electronics restock triggers before stockout during sale week.

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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