Features
Create, track, and collaborate on PostgreSQL SQL files safely with Git.
Version control keeps every change to a query visible, reversible, and attributable—crucial for audits and team collaboration.
Create a dedicated sql/ folder in your repo. Save each query as a .sql file named after its purpose, e.g., orders/total_revenue.sql.
1) Initialize Git in your project. 2) Add the sql/ directory. 3) Commit files with descriptive messages. 4) Open pull requests for review.
Group by domain: sql/customers/, sql/orders/, sql/products/.Include a README that explains dependencies and expected result sets.
Load the file with psql -d $DB -f sql/orders/total_revenue.sql or from Galaxy’s run-file feature. Parameterize using :start_date and :end_date for repeatable runs.
Keep queries idempotent by wrapping DML in transactions. Use comments for context. Store test results in CI to prevent regressions.
Do not embed ad-hoc SQL only in application code; store it in .sql files.Always review diffs for whitespace-only changes to avoid noisy commits.
Version-controlling SQL promotes code quality, speeds onboarding, and aligns teams—especially when paired with Galaxy’s sharing and endorsement workflow.
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Yes. Create a feature branch, push your .sql changes, and merge after review to keep main clean.
Save DDL scripts (CREATE/ALTER) alongside queries and run them through migrations tools like Flyway or Sqitch.
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