PouchDB employs several strategies to handle conflicts that may arise during data replication between the client-side and server-side databases. Here's an overview of how PouchDB handles conflicts:

Last-Write-Wins (LWW) Conflict Resolution : By default, PouchDB uses a Last-Write-Wins conflict resolution strategy, where the most recent change to a document takes precedence. In other words, if conflicting updates occur to the same document on both the client and server databases, the change with the latest timestamp will be applied, and the older change will be discarded.

Conflict Document Generation : When conflicting updates are detected during replication, PouchDB generates a special conflict document to represent the conflicting changes. This conflict document contains metadata about the conflicting revisions, including their revision IDs, timestamps, and other relevant information.

Custom Conflict Resolution Policies : Developers have the flexibility to implement custom conflict resolution policies based on their application's requirements. PouchDB provides hooks and callbacks that allow developers to intervene in the conflict resolution process and implement custom logic to resolve conflicts according to specific criteria.

Manual Conflict Resolution : In some cases, conflicts may need to be resolved manually by the user or application logic. PouchDB provides APIs for retrieving conflict documents and presenting them to the user for resolution. Developers can implement user interfaces or automated processes to handle conflicts manually by selecting or merging conflicting changes.

Revision Tree Analysis : PouchDB uses a revision tree data structure to track the history of document revisions and their relationships. This allows PouchDB to perform efficient conflict detection and resolution by analyzing the revision history and identifying conflicting changes based on their lineage.

Conflict-Free Replication : While conflict resolution mechanisms are available, the goal of PouchDB's replication is to minimize conflicts and ensure eventual consistency between the client and server databases. By using techniques such as document-level revision tracking and real-time replication, PouchDB aims to reduce the likelihood of conflicts occurring in the first place.