Git reset is straightforward when your goal is to roll back files, commits, or branches. But when data lives behind Row-Level Security (RLS), simple resets won’t apply. RLS enforces restrictions at the row level, often in databases like PostgreSQL. Each query returns only the data the current role is allowed to see. That makes “reset” more complex: you must think in terms of policy, role reassignment, and state consistency.
To reset effectively, start by identifying the policies applied to the table. In PostgreSQL:
\z table_name
This reveals row-level access rules. If you want a Git reset to restore a dataset in a dev environment, you must either temporarily disable RLS:
ALTER TABLE table_name DISABLE ROW LEVEL SECURITY;
or update the role to match the reset target environment. After RLS is off, you can run scripts to sync data from a previous commit tracked in Git.
When using Git to store migrations or seed data, the reset flow looks like:
git reset --hard <commit> to revert schema and seed changes.- Apply migrations via your migration tool.
- Re-enable RLS:
ALTER TABLE table_name ENABLE ROW LEVEL SECURITY;
- Test queries under each relevant role to confirm correctness.
This process keeps your Git history clean while maintaining secure row-level controls. Avoid skipping the re-enable step; leaving RLS off in production is a security risk.
Modern teams use integrated tools to connect Git commits directly to database state. With platforms like hoop.dev, you can handle Git reset, RLS toggling, and data verification in one place. See it live in minutes—connect your repo, reset, and ship without breaking security.