Handling Caching and Invalidation in RTK Query
RTK Query automatically handles caching by storing fetched data in its internal cache and reusing it when the same query is requested again. This helps minimize redundant network requests and improves performance.
1. Automatic Caching: RTK Query caches query results based on the query arguments. If the same query is made again, cached data is used instead of fetching it again.
2. Cache Lifetime: You can control how long cached data remains valid using options like
keepUnusedDataFor(default is 60 seconds).3. Tag-Based Invalidation: Endpoints can provide and invalidate tags to manage cache consistency. When a mutation invalidates a tag, all queries using that tag are automatically refetched.
4. Manual Refetching: You can still manually trigger a refetch using the
refetchmethod or by invalidating specific cache tags programmatically.
In the above example, whenever a new post is added using the addPost mutation, it invalidates the Posts tag. RTK Query then automatically refetches the getPosts query to keep the UI in sync with the latest data.
This tag-based system ensures efficient and predictable cache updates, while giving developers the flexibility to control when and how data should refresh.