How do you handle caching and invalidation in RTK Query?

Difficulty: 6/10

caching, invalidation, tagging

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.

Key Concepts in Caching and Invalidation

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).

How do you handle caching and invalidation in RTK Query?

Difficulty: 6/10

caching, invalidation, tagging

Key Concepts in Caching and Invalidation

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).

How do you handle caching and invalidation in RTK Query?

How do you handle caching and invalidation in RTK Query?

Scenario Questions

Follow-up Questions