Question 1

How to set up SQLFluff with dbt?

Accepted Answer

SQLFluff supports dbt through a plugin; you need to install the sqlfluff-templater-dbt package and configure it in your .sqlfluff file. This allows parsing dbt templates and linting the SQL within them, integrating seamlessly into dbt workflows.

Question 2

SQLFluff vs Prettier for SQL formatting?

Accepted Answer

SQLFluff is specialized for SQL with multi-dialect support and templating, while Prettier is a general formatter with limited SQL options. SQLFluff offers more granular control over SQL-specific rules and auto-fixing, making it better for data engineering teams.

Question 3

Can SQLFluff fix all SQL errors automatically?

Accepted Answer

No, SQLFluff auto-fixes most style violations like spacing and indentation, but semantic errors or complex issues require manual intervention. It focuses on layout and syntax consistency, not logic correctness, as implied by the auto-fixing capability.

Question 4

How to add a custom rule to SQLFluff?

Accepted Answer

You can extend SQLFluff by creating custom plugins in Python; define the rule in a Python file and reference it in the configuration. The modular architecture documentation provides details on rule creation for advanced customization.

Question 5

Does SQLFluff support stored procedures in T-SQL?

Accepted Answer

Support for T-SQL dialects includes common syntax, but for advanced features like stored procedures, coverage might be partial. Check the dialect documentation or raise a GitHub issue for missing support, as noted in the dialects section.

Question 6

How to integrate SQLFluff into GitHub Actions?

Accepted Answer

Use the official Docker image or install SQLFluff via pip in your workflow, then run sqlfluff lint or fix as a CI step. This allows failing builds on violations, with examples often shared in community Slack or documentation.

SQLFluff

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