![]() RTK Query will make three distinct fetches one for each unique set of query parameters per endpoint.ĭata is kept in the cache as long as at least one active subscriber is interested in that endpoint + parameter combination. Query parameters 1 and 2 will each have a single subscriber, while query parameter 3 has two subscribers. While four components are subscribed to the endpoint, there are only three distinct combinations of endpoint + query parameters. Imagine an endpoint that expects an id as the query param, and 4 components mounted which are requesting data from this same endpoint: The expiration time can be configured with the keepUnusedDataFor property for the API definition as a whole, as well as on a per-endpoint basis. when last component subscribed to the data unmounts), after an amount of time (default 60 seconds), the data will be removed from the cache. if a component is mounted that calls a useQuery hook for the endpoint), then the data will remain in the cache. As long as there is an active 'subscription' to the data (e.g. Additional subscriptions that ask for the same endpoint+params increment the reference count. Otherwise, if the data does not exist in the cache, then a new request is sent, and the returned response is stored in the cache. When a request is attempted, if the data already exists in the cache, then that data is served and no new request is sent to the server. two separate components performing the same request will use the same cached data. called with the same parameters, factoring serialization) will be de-duped against the original, and will share the same data and updates. Any future request that produces the same quer圜acheKey (i.e. When a subscription is started, the parameters used with the endpoint are serialized and stored internally as a quer圜acheKey for the request. The serialized query parameters used when components subscribe to data from an endpoint.RTK Query provides a number of concepts and tools to manipulate the cache behaviour and adjust it to your needs. When an additional request is performed for the same data, RTK Query will provide the existing cached data rather than sending an additional request to the server. When data is fetched from the server, RTK Query will store the data in the Redux store as a 'cache'. You may also want to read through the "Redux Fundamentals" tutorial, which will give you a complete understanding of how Redux works, what Redux Toolkit does, and how to use it correctly.A key feature of RTK Query is its management of cached data. We recommend going through the full "Redux Essentials" tutorial, which covers all of the key pieces included in Redux Toolkit, what problems they solve, and how to use them to build real-world applications. ![]() Here's the complete counter application as a running CodeSandbox: What's Next? Get the dispatch function with the useDispatch hook, and dispatch actions as needed.Read data from the store with the useSelector hook.Use the React-Redux useSelector/useDispatch hooks in React components.Export the generated slice reducer and action creators.Reducer functions may "mutate" the state using Immer.Call createSlice with a string name, an initial state, and named reducer functions.Create a Redux "slice" reducer with createSlice.Put a React-Redux component around your.Provide the Redux store to the React application components.configureStore automatically sets up the store with good default settings. ![]()
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