data-integrity

To reconcile optimistic UI updates with backend data, you coordinate local persistence and server synchronization using a merge logic that prevents data loss. This ensures that messages created locally are correctly matched and updated with the backend store.

Handling offline data persistence requires an IndexedDB schema design that maps users, sessions, and messages locally. This architecture supports offline usage by storing optimistic updates until network connectivity is restored for eventual consistency.

Eventual consistency works by applying a 30-second retention window and a reconciliation logic to merge local and server messages. This coordination between the local IndexedDB store and the backend guarantees alignment without overwriting unsynced data.

Yes, this reconciliation logic is specifically designed for multi-device synchronization in frontend-heavy chat apps. It merges local and server data across devices, ensuring data integrity and consistency during paginated history restoration and offline usage.

Local optimistic messages disappear during backend sync when there is no reconciliation logic to merge the two data sets. Implementing a proper data integrity strategy with a local retention window prevents this data loss by safely reconciling the differences.