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DATA & AUTH

Supabase Row Level Security

Write down who can read and change each row before writing a policy. Then check the owner, another user and a signed-out request through the same client path the app will use.

vibeforthat editorial2 sources
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FIELD NOTESHow it fits together
Supabase

01USING and WITH CHECK cover different parts of a write.

02A changed owner ID is a permission case of its own.

03Administrative-key results cannot establish normal-user isolation.

Define the access matrix before SQL

List the table, owner column, operations and roles. Supabase Auth provides user identity, but the RLS policy defines which rows each operation may access. Team membership needs a different model from simple ownership.

Read existing rows and check new values

USING governs row visibility/access; WITH CHECK validates inserted or resulting row values. auth.uid() identifies the request’s user and is null without authentication. A user changing an ownership column is a separate case to consider.

Test realistic request identities

Use user A, user B and an unauthenticated request for read and write cases, including a forged owner ID. Test through the application’s ordinary client path. Elevated secret-key behavior does not demonstrate ordinary-user isolation.

A few more details

Is a sign-in screen enough to protect every row?

No. Authentication identifies a user; authorization policies determine permitted data access.

Why avoid testing only with an administrative key?

Administrative secret-key requests can bypass RLS under documented conditions, so use the intended user role and token for isolation checks.

Sources & maker notes

This guide is based on the cited documentation and maker sources. vibeforthat has not run an independent installation or end-to-end product test for this article.