History of SQL

From SEQUEL at IBM (1974) to today's ANSI/ISO SQL standard.

Definition

History of SQL — From SEQUEL at IBM (1974) to today's ANSI/ISO SQL standard. SQL (Structured Query Language) is the declarative language every relational database understands. This lesson walks you through what the feature does, the exact syntax, and the gotchas worth knowing before you ship a query to production.

How It Works

In SQL, history of sql is a single statement (or clause inside a SELECT) that the database engine parses, plans, and executes against your tables. The engine reads your declarative intent ('what data I want') and figures out the most efficient physical operations ('how to fetch it') using its query planner.

Example

sql
-- Run any SQL playground (MySQL Workbench / pgAdmin)
SELECT 'Hello, SQL!' AS greeting;

Expected Output

(Run in MySQL Workbench, pgAdmin, or any SQL playground — actual values depend on the data in YOUR tables.)

Why It Matters

Knowing this feature cold means you can answer real production questions in seconds — and pass every SQL interview on the way there. Every backend engineer, data analyst, and SRE deals with this on a near-daily basis.

Key Takeaways

History of SQL is part of the standard SQL vocabulary — be fluent.
Read the query top-to-bottom; the engine actually runs it in a different order (FROM → WHERE → GROUP → SELECT → ORDER).
Test on a small dataset first — LIMIT 10 saves your sanity.
Indexes change everything — always check EXPLAIN before declaring 'it's slow'.

Interview Questions

Practice Questions

Paste the example into a local MySQL or PostgreSQL and run it.
Modify the WHERE clause and observe how the result changes.
Add an ORDER BY and a LIMIT — practise narrowing huge result sets.

Pro Tips

Always end statements with ; — most engines accept either, but consistency helps when you paste multiple queries together.
Capitalise SQL keywords (SELECT, FROM, WHERE) — it's the universal convention and reads dramatically faster.
Run EXPLAIN or EXPLAIN ANALYZE before assuming a query is slow — measure, don't guess.

// Try It Yourself · SQL Playground

in-browser SQLite · no network

Run any SELECT, INSERT, JOIN or GROUP BY against the seeded users · products · orders tables — your changes are sandboxed and reset whenever you click Reset DB.

// editor · Ctrl + Enter to run

// result

Click Run to see results here.

// see seed schema (3 tables · 8 users · 8 products · 12 orders)

users (id, name, email, country, age, created_at)
products (id, name, price, stock, category)
orders (id, user_id → users.id, product_id → products.id, qty, total, created_at)

// Challenges0 / 6 solved

Each challenge is auto-graded — write the SQL, click Submit answer, and we'll compare your result-set to the canonical one.