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SQL Cheatsheet Pack

$12

PostgreSQL, MySQL, and SQLite syntax reference with JOINs, window functions, CTEs, indexing strategies, and query optimization.

📁 3 files🏷 v1.0.0
MarkdownJSONYAMLSQLPostgreSQL

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📁 File Structure 3 files

sql-cheatsheet-pack/ ├── LICENSE ├── README.md └── config.example.yaml

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SQL Cheatsheet Pack

Complete SQL reference covering PostgreSQL, MySQL, and SQLite. JOINs, window functions, CTEs, subqueries, indexing strategies, query optimization, and cross-database syntax differences. Built for professional developers and data engineers.

Who Is This For?

  • Backend developers writing application queries and migrations
  • Data engineers building ETL pipelines and analytical queries
  • Full-stack developers who need SQL reference across multiple databases
  • Anyone preparing for SQL-heavy technical interviews

What's Inside

Cheatsheet Files (`cheatsheets/`)

FileTopics Covered
01-basic-syntax.mdSELECT, INSERT, UPDATE, DELETE, CREATE TABLE, ALTER TABLE, data types comparison across databases
02-joins-reference.mdINNER, LEFT, RIGHT, FULL, CROSS, SELF joins with visual diagrams, multiple join conditions, anti-joins
03-aggregation-grouping.mdGROUP BY, HAVING, aggregate functions (COUNT, SUM, AVG, MIN, MAX), ROLLUP, CUBE, GROUPING SETS
04-window-functions.mdROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE, LAST_VALUE, SUM/AVG OVER, frame specs
05-ctes-subqueries.mdCommon Table Expressions, recursive CTEs, correlated subqueries, EXISTS, IN vs JOIN, materialized CTEs
06-indexing-strategies.mdB-tree, hash, GIN, GiST indexes, composite indexes, partial indexes, covering indexes, EXPLAIN analysis
07-query-optimization.mdReading EXPLAIN plans, common anti-patterns, N+1 queries, query rewriting, statistics, vacuuming
08-database-differences.mdPostgreSQL vs MySQL vs SQLite syntax matrix, feature comparison, type mapping, migration considerations

Example Files (`examples/`)

FileDescription
create_schema.sqlComplete sample database schema with tables, indexes, constraints
window_functions.sql15+ window function examples with sample data and results
recursive_ctes.sqlRecursive CTE patterns: hierarchies, sequences, graph traversal
optimization_before_after.sqlSlow queries rewritten for performance with EXPLAIN comparison

Quick Reference (`cheatsheet.html`)

Self-contained HTML file with the essential SQL reference tables. Open in any browser or print.

How to Use

1. Unzip the archive

2. Browse cheatsheets/ for topic-specific reference

3. Run example .sql files against your database

4. Open cheatsheet.html for a printable quick-reference

5. The sample schema uses generic naming -- adapt table/column names to your project

Format Notes

  • Default syntax is PostgreSQL with MySQL/SQLite differences noted inline
  • Where syntax differs, a comparison table shows all three
  • Example queries use a sample e-commerce schema (users, orders, products)
  • All examples use example.com domains and placeholder data

Version History

VersionDateChanges
1.0.02026-06Initial release: 8 cheatsheets, 4 example files, HTML reference

... continues with setup instructions, usage examples, and more.

📄 Code Sample .sql preview

examples/create_schema.sql -- ============================================================ -- Sample E-Commerce Schema -- Database: PostgreSQL (compatible with most changes for MySQL/SQLite) -- ============================================================ -- Users CREATE TABLE users ( id SERIAL PRIMARY KEY, name VARCHAR(100) NOT NULL, email VARCHAR(255) NOT NULL UNIQUE, status VARCHAR(20) DEFAULT 'active' CHECK (status IN ('active', 'inactive', 'banned')), tier VARCHAR(20) DEFAULT 'bronze' CHECK (tier IN ('bronze', 'silver', 'gold', 'platinum')), city VARCHAR(100), created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ); -- Categories (self-referencing for tree structure) CREATE TABLE categories ( id SERIAL PRIMARY KEY, name VARCHAR(100) NOT NULL, parent_id INTEGER REFERENCES categories(id), active BOOLEAN DEFAULT TRUE ); -- Products CREATE TABLE products ( id SERIAL PRIMARY KEY, name VARCHAR(255) NOT NULL, category_id INTEGER REFERENCES categories(id), price DECIMAL(10, 2) NOT NULL CHECK (price >= 0), stock INTEGER DEFAULT 0 CHECK (stock >= 0), description TEXT, active BOOLEAN DEFAULT TRUE, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ); -- Orders CREATE TABLE orders ( id SERIAL PRIMARY KEY, user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE, status VARCHAR(20) DEFAULT 'pending' CHECK (status IN ('pending', 'processing', 'shipped', 'delivered', 'cancelled')), total DECIMAL(10, 2) NOT NULL DEFAULT 0, shipping_city VARCHAR(100), created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, shipped_at TIMESTAMP, delivered_at TIMESTAMP ); # ... 90 more lines ...
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