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Databases & messaging · #faunadb
FaunaDB’s cursor‑based pagination lets you fetch pages without offsets. Learn how to design a paginated index, run <code>Paginate</code> queries, and avoid common pitfalls like cursor size limits and non‑unique sort fields.
A step‑by‑step diagnostic guide for FaunaDB query performance issues: identify symptoms, run targeted checks, apply fixes (indexes, consistency, pagination, TTL, backoff), and verify results with concrete FQL examples.
Learn how FaunaDB guarantees atomicity across documents with a single FQL query, including a practical order‑placement example and migration notes.
Fauna replaces offset paging with an opaque, index-backed cursor: each page is its own ACID transaction, page numbers disappear, and cost stays flat at any depth.
Learn how to set up a FaunaDB index for deterministic cursor‑based pagination, avoid collection scans, and balance read cost against latency. Includes a step‑by‑step guide, example queries, and best‑practice checks.
Learn how to create and use a compound index in FaunaDB to filter and sort data efficiently, see a concrete FQL example, and avoid common pitfalls.
Learn how to design a minimal, secure RBAC model in FaunaDB for multi‑tenant workloads, with guidance on policy definition, operational checks, and when to revisit the architecture.
A single FQL request is Fauna's transaction boundary. Here is how to group a debit and a credit atomically, plus the contention and index traps that make it slow.
Learn how to add full‑text search to a serverless app using FaunaDB's native search indexes, with a complete FQL example, performance considerations, and practical verification steps.