# enochtangg/quick-SQL-cheatsheet

A quick reminder of all SQL queries and examples on how to use them.

Repository: https://github.com/enochtangg/quick-SQL-cheatsheet
Canonical: https://ross.abutalabs.com/products/quick-sql-cheatsheet
License: MIT
License Family: permissive
Last push: 2020-10-01T19:54:00+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2894, "days_push": 2162, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5450, forks 781 (observed 2026-08-28T04:09:18.732856+00:00)

## What it is
A community-maintained SQL cheatsheet repository with examples of common queries like SELECT, JOIN, WHERE, and table operations. It serves as a quick reference for SQL syntax rather than executable software.

## Use cases
- quickly look up SQL query syntax
- learn SQL joins with examples
- refresh memory on WHERE clause operators
- find examples of CREATE TABLE and ALTER TABLE
- study SQL for a database course or interview

## When to choose
- you need a fast reference for standard SQL syntax with examples
- you are learning SQL and want concise query patterns
- you want a free, MIT-licensed reference to consult while writing queries

## When to avoid
- you need an interactive SQL tutorial or practice environment
- you need dialect-specific deep documentation for a particular database
- you need a tool that executes or validates SQL queries

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, database
- domain: databases, education, tutorials
- platform: cross-platform
- tags: sql, cheatsheet, reference, queries

## Member repositories
- enochtangg/quick-SQL-cheatsheet (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:18.732856+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:56:50.058983+00:00, confidence not recorded.
  - readme: https://github.com/enochtangg/quick-SQL-cheatsheet (fetched 2026-08-28T04:09:18.732856+00:00, sha 043fe3f643aa)
- Data as of 2026-08-30T08:39:29.467469+00:00.