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
- Choose & install one environment (pick one — don’t experiment yet)
- Recommended 2026: Docker + official postgres image (easiest to reset)
Bash012345678910docker run -d --name pg-local \-e POSTGRES_PASSWORD=mysecretpassword \-p 5432:5432 \-v pgdata:/var/lib/postgresql/data \postgres:17
- Alternative: Neon.tech free tier (serverless, zero install, browser + psql)
- Last resort: Windows → EDB installer, macOS → Postgres.app / Homebrew
- Recommended 2026: Docker + official postgres image (easiest to reset)
- 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)
- 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
- Create first playground database
SQL01234567CREATE DATABASE learn_pg;\c learn_pg
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):
- pgexercises.com → Basics section (free, excellent)
- w3resource PostgreSQL exercises → first 40–50 questions
- HackerRank SQL – easy + medium (first 30–40 problems)
- 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:
- pgexercises.com → Joins section (do every exercise)
- LeetCode Database – easy + medium (first 40–50 problems)
- Mode Analytics SQL Tutorial – Joins & Aggregates modules
- 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:
- pgexercises.com → Aggregates + Advanced sections
- LeetCode – medium & hard window function problems (30–50)
- 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! 🚀
