Rule Pack community beginner
SQLFluff Core Rule Pack
Production-ready SQL linting rules for dbt, Spark, and warehouse dialects
A curated SQLFluff configuration with rules optimized for modern data engineering workflows. Includes dialect-specific rules for dbt (Jinja), Spark SQL, Snowflake, BigQuery, and Redshift. Enforces naming conventions, formatting standards, performance anti-patterns, and security rules.
pip install sqlfluff==3.0.0 sqlfluff-templater-dbtAt a glance
| What | Production-ready SQL linting rules for dbt, Spark, and warehouse dialects |
|---|---|
| Where | SQL · tech-sql · tech-dbt · tech-spark |
Learning objectives
- Configure SQLFluff for your warehouse dialect
- Customize rules for team standards
- Integrate SQLFluff into CI/CD pipelines
- Fix legacy SQL debt incrementally
Security scan
Last sweep 2026-10-24: 0 finding(s), 0 marked as examples.
Registry stats
| Verification | community |
|---|---|
| Completeness | 72 |
| Trust multiplier | ×0.38 |
| Composite | 39.7 · adequate |
| Difficulty | beginner |
| License | MIT |
| Security flags | 1 |
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SQLFluff Core Rule Pack