# datawhalechina/wonderful-sql

Follow me，从 0 到 1 掌握 SQL。

Repository: https://github.com/datawhalechina/wonderful-sql
Canonical: https://ross.abutalabs.com/products/wonderful-sql
License Family: other
Topics: sql, mysql
Last push: 2026-08-23T14:04:37+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 1889, "days_push": 10, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1062, forks 200 (observed 2026-08-28T04:03:26.201073+00:00)

## What it is
An open-source Chinese-language SQL course by Datawhale that teaches SQL from scratch using MySQL 8.0, with structured chapters, exercises, and reference answers. It also includes common SQL interview questions for job preparation.

## Use cases
- learn SQL from zero
- practice SQL queries with exercises
- prepare for SQL interview questions
- set up a MySQL learning environment
- follow a structured SQL study plan

## When to choose
- you are a beginner wanting a guided, chapter-based SQL curriculum
- you prefer learning with MySQL and hands-on exercises
- you want free interview-oriented SQL material in Chinese

## When to avoid
- you need SQL tutorials for databases other than MySQL
- you want an English-language course
- you need advanced database administration or performance tuning content

## Facets
- artifact type: learning-resource
- maturity: active
- function: database, developer-tools
- domain: databases, education, tutorials
- platform: cross-platform
- tags: sql, mysql, tutorial, open-course, datawhale, interview-prep

## Member repositories
- datawhalechina/wonderful-sql (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:26.201073+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 2026-08-30T06:56:44.196685+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/wonderful-sql (fetched 2026-08-28T04:03:26.201073+00:00, sha 850887084615)
- Data as of 2026-08-30T08:39:29.467469+00:00.