Prevent Duplicate Emails in FaunaDB Using a Unique Index
FaunaDB has no column-level unique constraint. Use a unique index to reject duplicate writes at the database layer, and handle the error in your application.
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FaunaDB has no column-level unique constraint. Use a unique index to reject duplicate writes at the database layer, and handle the error in your application.
Learn how to implement stable, high-performance cursor-based pagination in FaunaDB using indexes and the Paginate function to avoid duplicate records during data shifts.
FaunaDB runs each FQL query as a single atomic transaction with ACID guarantees across documents. Use that to enforce multi-document invariants without application locks, with index-driven reads and built-in temporal history.
Use FaunaDB Indexes to restrict candidate sets before applying Filters, avoiding full collection scans and reducing read costs.
Want to guarantee that a user profile and its default settings are created together in FaunaDB? Learn how FaunaDB’s native multi‑document ACID transactions work, when to use them, and a step‑by‑step FQL example that keeps your data consistent without application‑level locks.
A diagnostic guide for FaunaDB 403 permission denied errors, covering role membership, privileges, predicates, and user-defined function context.
Learn how to enable FaunaDB’s TTL feature: set a ttl_field on a collection, store expiration as Unix microseconds, and let the background sweep delete documents automatically.
Fauna executes an entire FQL expression as one ACID transaction, letting you enforce multi-document invariants like balance transfers directly in the query instead of application code.
Learn the minimal FaunaDB design for atomic updates across documents, how RBAC defines data boundaries, what to monitor, and when to revisit the approach.