Cloud Firestore Data Modeling

on YouTube ↗41m

" summary

Cloud Firestore indexes every field and serves queries in time proportional to the result set, not the dataset, so designs favor read-fast denormalized records but must respect limits: 1 MB document limit, 40,000 index fields, and roughly 1 write/sec per document. Menu items work best as subcollections to avoid sending huge documents; cross-subcollection searches require collection group queries. Billing is driven by documents touched, and server-side Cloud Functions are recommended to keep denormalized copies in sync safely.

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" chapters (25)

1. 0:00Introduction
2. 0:26Firebase
3. 2:45Sequel
4. 5:43No Sequel
5. 9:21Documents Collections
6. 15:15Menu
7. 15:31Subcollection
8. 15:50Document Limits
9. 18:29Only Fetch Documents
10. 18:47Data Usage
11. 20:44Billing
12. 21:54Is this bad
13. 22:13Manual action
14. 22:55One right answer
15. 24:46Indexed documents
16. 26:08Subcollections
17. 26:42Collection Group Queries
18. 31:28Security Rules
19. 32:06Orders
20. 34:09Duplicate Data
21. 34:30Normalize Data
22. 36:53Client Order
23. 37:15Cloud Functions
24. 39:19Get to Know Firestore
25. 39:56Conclusion

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