Tutorials PostgreSQL Tutorial

PostgreSQL Internals — Complete Guide

PostgreSQL Internals — 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 5 of 100

PostgreSQL Internals

SQLAdvanced

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

What is this?

Inside PostgreSQL, every table is stored as heap files with 8 KB pages. The planner reads statistics from pg_catalog to pick index scans vs seq scans. MVCC keeps old row versions until vacuum reclaims space.

Why should you care?

When a Flipkart search slows down, internals knowledge tells you whether bloated pages, stale stats, or missing indexes are the culprit.

See it live — copy this example

Run in pgAdmin or psql.

SELECT relname, relpages, reltuples::bigint
FROM pg_class
WHERE relname = 'pg_database';

What happened?

  • pg_class catalogs every relation.
  • relpages counts disk pages; reltuples is the planner estimate of row count.
  • Inspecting catalog tables is how DBAs peek under the hood without opening data files.

Practice next

  1. Connect to PostgresVerse.
  2. Run the pg_class query and note relpages for pg_database.
  3. Run \d+ pg_database in psql to see column storage details.
  4. Create a small table, insert rows, run SELECT pg_relation_size('your_table');
  5. Compare seq_scan vs idx_scan in pg_stat_user_tables after queries.

Remember

Tables are heap pages on disk plus catalog metadata. The planner uses statistics, not magic. MVCC defers physical cleanup to vacuum.

PostgresVerse bloat hunt

A DBA checks pg_class and pg_stat_user_tables when orders table scans get slower month over month.

Outcome: They schedule VACUUM FULL off-peak instead of blindly adding RAM.

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…
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…
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…
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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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