Cache invalidation
Cache invalidation is the process of making cached data ineligible for reuse, typically by marking it stale, removing it, or refreshing it when its source or validity conditions change.
React in Depth
Query invalidation marks cached query results as no longer valid so they can be refreshed or otherwise reconsidered.
- How it is used
- Coordinates remote-data refreshes after mutations without manually refetching complete datasets.
- How deep it goes
- Defines invalidation, explains query-key scoping, and demonstrates mutation callbacks; defers cache internals and consistency guarantees.
- Examples
- Uses customer deletion, parameterized customer queries, and add-or-do-thing mutation hooks as implementation examples.
- What you can do after
- Apply it via TanStack Query by designing query keys and invalidating affected queries after successful mutations.
Amazon Web Services in Action, Third Edition: An in-depth guide to AWS
Cache invalidation is the removal or marking of cached data as unusable when its underlying source has changed.
- How it is used
- Coordinates cache freshness with database changes during blog-post creation.
- How deep it goes
- Places invalidation in a three-step workflow but does not detail its implementation.
- Examples
- Uses creating a blog post, invalidating its cache, and posting its link to Twitter.
- What you can do after
- Apply it by invalidating cached blog data after successfully changing the database.
Related concepts
- expiration dateaddressed by · An expiration setting specifies when, or after what duration, an item, data, resource, or right ceases to be valid, available, or retained.
- cachinguses · Caching is the practice of storing reusable data or computation results so later access can avoid repeating retrieval or computation.
- TanStack Queryused by · TanStack Query is a library for fetching, caching, synchronizing, and updating asynchronous server state.
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