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Cloud & infrastructure · #firebase
Stop fighting the lack of JOINs in Firestore. Learn when to duplicate data via denormalization to reduce latency and costs, and how to handle the resulting update complexity.
Learn how Firestore batched writes let you group up to 500 create, update, or delete operations into a single atomic request, with a Node.js example, limits, and common pitfalls.
When a Firestore listener stops updating or throws permission‑denied, the issue often lies in security rules, token freshness, or listener lifecycle. This guide walks you through symptoms, diagnostics, and fixes to get real‑time updates back on track.
A diagnostic framework for Firestore real-time listener problems: missing composite indexes, stale local cache, connection flapping, and silent security rule rejections, with fixes for each.
Learn how to enforce per‑user data ownership in Firestore by storing an owner UID on each document and writing security rules that compare it against the caller’s UID. Includes a concrete chat‑room example, trade‑offs, and a verification checklist.
Deploy a Firestore‑triggered Cloud Function that copies documents to another collection, with step‑by‑step setup, verification, and rollback instructions. Includes security rules, IAM roles, and emulator testing.
Firestore caches writes locally offline and replays on reconnect. Rule changes may silently reject them. Learn conflict-resolution defaults, onConflict setup, and verify offline with debug logs.
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.
nodejs