Chapter 47: PostgreSQL Study Plan

PostgreSQL Study Plan that actually works in 2025–2026.

Not the official documentation table of contents. Not a 7-day crash course that forgets everything in 3 weeks. This is the plan I would personally give to:

  • a final-year B.Tech student aiming for good placements
  • a fresher/backend developer wanting to become strong in databases
  • someone switching from MySQL/MongoDB to PostgreSQL
  • a person preparing for interviews at product companies / startups / service companies

Time investment: 3–6 months (realistic pace) Daily commitment: 60–120 minutes Success criteria: you can confidently write medium–hard production queries, read EXPLAIN plans, fix slow queries, and answer 80–90% of PostgreSQL interview questions.

PostgreSQL Study Plan 2026 – Realistic Roadmap (3–6 months)

Phase 0 – Setup & First Touch (Days 1–4)

Goal: Remove all friction — be able to write & run queries comfortably

  1. Choose & install one environment (pick one — don’t experiment yet)
    • Recommended 2026: Docker + official postgres image (easiest to reset)
      Bash
    • Alternative: Neon.tech free tier (serverless, zero install, browser + psql)
    • Last resort: Windows → EDB installer, macOS → Postgres.app / Homebrew
  2. Install one GUI (optional but strongly recommended)
    • DBeaver (free, cross-platform, excellent) ← my personal favorite 2026
    • pgAdmin 4 (if you already have it)
    • TablePlus / DataGrip (paid but very nice)
  3. Learn psql basics (spend 1–2 hours here — very important)
    • Connect: psql -h localhost -U postgres
    • Meta-commands: \l\dt\d table\dn\du\?\h SELECT
    • Exit: \q
  4. Create first playground database
    SQL

Mini-goal by day 4: You can connect, create database, create simple table, insert 5 rows, run SELECT *, feel comfortable typing in psql or GUI.

Phase 1 – Core SQL & CRUD Mastery (Weeks 1–4)

Goal: Write any basic CRUD query without hesitation

Topics & order (do in this sequence)

Week 1

  • Data types deep-dive (what to use when)
    • SERIAL vs IDENTITY
    • TEXT vs VARCHAR
    • NUMERIC vs DOUBLE
    • TIMESTAMPTZ everywhere
    • JSONB basics
  • CREATE TABLE (constraints, defaults, generated columns)
  • INSERT (single, multi-row, RETURNING)
  • SELECT + WHERE + ORDER BY + LIMIT / FETCH / OFFSET

Week 2

  • UPDATE (with FROM, with CASE, with subquery)
  • DELETE (with USING, with subquery)
  • TRUNCATE vs DELETE
  • ALTER TABLE (ADD/DROP/ALTER COLUMN, RENAME)

Week 3–4

  • String functions: ||, CONCAT, SUBSTRING, POSITION, TRIM, regexp_replace
  • Date/time mastery: date_trunc, extract, age, interval arithmetic, generate_series
  • CASE (simple + searched) in SELECT, ORDER BY, UPDATE
  • COALESCE, NULLIF, GREATEST/LEAST

Practice sources (do all of these in order):

  1. pgexercises.com → Basics section (free, excellent)
  2. w3resource PostgreSQL exercises → first 40–50 questions
  3. HackerRank SQL – easy + medium (first 30–40 problems)
  4. Create your own mini-project: college / bookstore / hospital schema → write 50–70 CRUD queries

Success checkpoint: You can create a 5-table schema, insert realistic data, write 30 different SELECT/UPDATE queries without looking at notes.

Phase 2 – Joins & Set Operations (Weeks 5–8)

Goal: Master combining tables — the heart of relational databases

Week 5–6

  • All JOIN types (INNER, LEFT, RIGHT, FULL, CROSS)
  • JOIN USING vs JOIN ON
  • Multiple JOINs (3–5 tables)
  • Self-join (compare rows within same table)
  • Anti-join patterns (LEFT JOIN … IS NULL vs NOT EXISTS)

Week 7–8

  • UNION / UNION ALL (when to use which)
  • INTERSECT / EXCEPT
  • JOIN + GROUP BY + HAVING patterns

Practice sources:

  1. pgexercises.com → Joins section (do every exercise)
  2. LeetCode Database – easy + medium (first 40–50 problems)
  3. Mode Analytics SQL Tutorial – Joins & Aggregates modules
  4. Write 30–40 join-heavy queries on DVD Rental / Pagila sample database

Success checkpoint: You can solve any medium LeetCode JOIN problem in <15 minutes.

Phase 3 – Grouping, Aggregates & Window Functions (Weeks 9–14)

Goal: Become strong in reporting & analytics queries

Week 9–10

  • GROUP BY multiple columns
  • All aggregates + STRING_AGG, ARRAY_AGG
  • HAVING vs WHERE
  • GROUP BY + JOIN + CASE patterns

Week 11–12

  • Window functions basics
    • ROW_NUMBER / RANK / DENSE_RANK / NTILE
    • LAG / LEAD / FIRST_VALUE / LAST_VALUE
    • Running totals: SUM/AVG OVER (ORDER BY …)
    • Moving average / cumulative

Week 13–14

  • Window + PARTITION BY
  • Window + FRAME clause (ROWS / RANGE)
  • CTE + window functions

Practice sources:

  1. pgexercises.com → Aggregates + Advanced sections
  2. LeetCode – medium & hard window function problems (30–50)
  3. StrataScratch & DataLemur – analytics-style problems

Success checkpoint: You can write running total, rank-per-group, deduplicate with window functions.

Phase 4 – Subqueries, EXISTS, CTE, LATERAL (Weeks 15–20)

Goal: Master nested logic & per-row computation

  • Scalar, correlated, row subqueries
  • EXISTS / NOT EXISTS (anti-join)
  • IN / ANY / ALL with subqueries
  • WITH clause (multiple CTEs)
  • Recursive CTE (very important for hierarchies)
  • LATERAL & CROSS JOIN LATERAL

Practice: rewrite 20 JOIN queries using EXISTS / CTE / LATERAL

Phase 5 – Production & Advanced Topics (Weeks 21–30)

Indexes & EXPLAIN Transactions & isolation levels JSONB mastery + GIN indexes Full-text search Partitioning Triggers & PL/pgSQL basics Performance patterns & anti-patterns

Daily/Weekly Rhythm Suggestion

  • Monday–Friday: 60–90 min
    • 20 min theory (docs / video / article)
    • 40–60 min solving exercises
    • 10 min reviewing mistakes + notes
  • Saturday: 2–3 hours → solve 5–8 hard problems + review week
  • Sunday: Rest or light revision / mini-project

Your Personalized Starting Point (right now)

Tell me:

A) Give me 10 PostgreSQL quiz questions right now (mixed difficulty) B) Give me 5–7 practical exercises with schema + tasks C) Create a 30-day micro-plan starting tomorrow D) I want to focus on one phase first (tell me which)

Your call — let’s turn theory into real skill! 🚀

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