Firestore

Transcript

1. Firestore Flexible, scalable NoSQL cloud database to store and sync data for client- and server-side development.
2. Key capabilities
3. Flexibility Store your data into documents that contain fields mapping to values. These documents are stored in collections, which are containers for your documents that you can use to organize your data and build queries.
4. Expressive querying You can use queries to retrieve individual, specific documents or to retrieve all the documents in a collection that match your query parameters. Your query can include multiple, chained filters and combine filtering and sorting. They are also indexed by default, so query performance is proportional to the size of your result set, not your data set.
5. Realtime updates Cloud Firestore uses data synchronization to update data on any connected device. However, it's also designed to make simple, one-time fetch queries efficiently.
6. Offline support Cloud Firestore caches data that your app is actively using, so the app can write, read, listen to, and query data even if the device is offline. When the device comes back online, Cloud Firestore synchronizes any local changes back to Cloud Firestore.
7. How does it work?
8. Each document contains a set of key-value pairs. Cloud Firestore is optimized for storing large collections of small documents. All documents must be stored in collections. Documents can contain subcollections and nested objects, both of which can include primitive fields like strings or complex objects like lists. Documents
9. Adding a document
10. set( ) When you use set( ) to create a document, you must specify and ID for the document to create.
11. add( ) If there isn't a meaningful ID for the document, it can be auto-generated.
12. doc( ) You can also create a document reference with an auto-generated ID, then use the reference later.
13. Delete data
14. delete( )
15. Get data
16. get( )
17. where( )
18. Listening for real time updates
19. Thanks!