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Learn how to build efficient paginated queries in Cloud Firestore using query cursors. The article walks through a JavaScript example, explains required indexes, and highlights common pitfalls to avoid.
Decide between Firestore subcollections and top-level collections based on ownership and query patterns. Learn how to balance security rules with global discoverability.
Learn how to create, deploy, and troubleshoot Firebase Cloud Functions that respond to Firestore writes. Start with a simple timestamp example, understand limits like cold starts and concurrency, and avoid common mistakes that can break your app.
Learn to enforce per-user data isolation in Firestore using security rules that match request.auth.uid to an owner field. Includes a minimal rule, create vs. update handling, emulator testing steps, and common mistakes that silently break access control.
Use Firebase Auth custom claims to embed roles in ID tokens, then enforce access in Firestore security rules via request.auth.token.role—avoiding extra document reads and quota costs. Includes Admin SDK setup, rule patterns, emulator testing, and deployment rollback.
Learn how Firestore's offline persistence combined with real-time listeners lets your app stay responsive even when the network drops, and how to detect when data is locally cached versus server-confirmed.
Learn how Firestore batch writes let mobile apps update multiple documents atomically, cut network round‑trips, and avoid half‑updated states—plus the limits you need to watch.
Implement Firestore offline persistence to ensure mobile app functionality during network outages. Learn the minimal design, trust boundaries, and failure modes.
Stop paying for documents you don't display. Learn how to implement cursor-based pagination in Firestore using startAfter() to reduce read costs and improve latency.
firebase
nodejs