Why Database Row-Level Security Creates Admin Nightmares

Row-level security (RLS) in PostgreSQL and other databases is a powerful feature that lets you restrict which rows a user can see based on their role or attributes — but it introduces surprising operational complexity. In this episode, Lucas and Luna explore a real case from a mid-sized fintech company that deployed RLS to isolate customer data across tenancy. Within three months, the engineering team hit three major failures: a runaway query that locked the entire `orders` table because the RLS policy performed a sequential scan under a security barrier; an audit-team report that showed zero rows for a compliance check because the policy predicate evaluated to false for the admin role; and a latency spike triggered by recursive policy evaluation on a self-referential `employees` table. They walk through why RLS policies bypass normal query optimization, how PostgreSQL's `security_barrier` option works as both a fix and a footgun, and what alternatives — like schema-based tenancy or application-layer filtering — teams should consider before committing to RLS at scale.

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