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Customizing queriesRTK Query is agnostic as to how your requests resolve. You can use any library you like to handle requests, or no library at all. RTK Query provides reasonable defaults expected to cover the majority of use cases, while also allowing room for customization to alter query handling to fit specific needs.
baseQuery
#
Customizing queries with The default method to handle queries is via the baseQuery
option on createApi
, in combination with the query
option on an endpoint definition.
To process queries, endpoints are defined with a query
option, which passes its return value to a common baseQuery
function used for the API.
By default, RTK Query ships with fetchBaseQuery
, which is a lightweight fetch
wrapper that automatically handles request headers and response parsing in a manner similar to common libraries like axios
. If fetchBaseQuery
alone does not meet your needs, you can customize its behaviour with a wrapper function, or create your own baseQuery
function from scratch for createApi
to use.
See also baseQuery API Reference
.
baseQuery
#
Implementing a custom RTK Query expects a baseQuery
function to be called with three arguments: args
, api
, and extraOptions
. It is expected to return an object with either a data
or error
property, or a promise that resolves to return such an object.
#
baseQuery function arguments#
baseQuery function return value- Expected success result format
- Expected error result format
note
This format is required so that RTK Query can infer the return types for your responses.
At its core, a baseQuery
function only needs to have the minimum return value to be valid; an object with a data
or error
property. It is up to the user to determine how they wish to use the provided arguments, and how requests are handled within the function itself.
#
fetchBaseQuery defaultsFor fetchBaseQuery
specifically, the return type is as follows:
- Expected success result format with fetchBaseQuery
- Expected error result format with fetchBaseQuery
transformResponse
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Customizing query responses with Individual endpoints on createApi
accept a transformResponse
property which allows manipulation of the data returned by a query or mutation before it hits the cache.
transformResponse
is called with the data that a successful baseQuery
returns for the corresponding endpoint, and the return value of transformResponse
is used as the cached data associated with that endpoint call.
By default, the payload from the server is returned directly.
- TypeScript
- JavaScript
To change it, provide a function that looks like:
transformResponse
is also called with the meta
property returned from the baseQuery
, which can be used while determining the transformed response. The value for meta
is dependent on the baseQuery
used.
While there is less need to store the response in a normalized lookup table with RTK Query managing caching data, transformResponse
can be leveraged to do so if desired.
createEntityAdapter
can also be used with transformResponse
to normalize data, while also taking advantage of other features provided by createEntityAdapter
, including providing an ids
array, using sortComparer
to maintain a consistently sorted list, as well as maintaining strong TypeScript support.
See also Websocket Chat API with a transformed response shape for an example of transformResponse
normalizing response data in combination with createEntityAdapter
, while also updating further data using streaming updates
.
queryFn
#
Customizing queries with Individual endpoints on createApi
accept a queryFn
property which allows a given endpoint to ignore baseQuery
for that endpoint by providing an inline function determining how that query resolves.
This can be useful for scenarios where you want to have particularly different behaviour for a single endpoint, or where the query itself is not relevant. Such situations may include:
- One-off queries that use a different base URL
- One-off queries that use different request handling, such as automatic re-tries
- One-off queries that use different error handling behaviour
- Performing multiple requests with a single query (example)
- Leveraging invalidation behaviour with no relevant query (example)
- Using Streaming Updates with no relevant initial request (example)
See also queryFn API Reference
for the type signature and available options.
queryFn
#
Implementing a In order to use queryFn
, it can be treated as an inline baseQuery
. It will be called with the same arguments as baseQuery
, as well as the provided baseQuery
function itself (arg
, api
, extraOptions
, and baseQuery
). Similarly to baseQuery
, it is expected to return an object with either a data
or error
property, or a promise that resolves to return such an object.
#
queryFn function arguments#
queryFn function return value- Expected success result format
- Expected error result format
baseQuery
#
Examples - #
Axios baseQueryThis example implements a very basic axios-based baseQuery
utility.
- TypeScript
- JavaScript
#
GraphQL baseQueryThis example implements a very basic GraphQL-based baseQuery
.
- TypeScript
- JavaScript
#
Automatic re-authorization by extending fetchBaseQueryThis example wraps fetchBaseQuery
such that when encountering a 401 Unauthorized
error, an additional request is sent to attempt to refresh an authorization token, and re-try to initial query after re-authorizing.
- TypeScript
- JavaScript
#
Automatic retriesRTK Query exports a utility called retry
that you can wrap the baseQuery
in your API definition with. It defaults to 5 attempts with a basic exponential backoff.
The default behavior would retry at these intervals:
- 600ms * random(0.4, 1.4)
- 1200ms * random(0.4, 1.4)
- 2400ms * random(0.4, 1.4)
- 4800ms * random(0.4, 1.4)
- 9600ms * random(0.4, 1.4)
- TypeScript
- JavaScript
In the event that you didn't want to retry on a specific endpoint, you can just set maxRetries: 0
.
info
It is possible for a hook to return data
and error
at the same time. By default, RTK Query will keep whatever the last 'good' result was in data
until it can be updated or garbage collected.
#
Bailing out of error re-triesThe retry
utility has a fail
method property attached which can be used to bail out of retries immediately. This can be used for situations where it is known that additional re-tries would be guaranteed to all fail and would be redundant.
- TypeScript
- JavaScript
#
Adding Meta information to queriesA baseQuery
can also include a meta
property in its return value. This can be beneficial in cases where you may wish to include additional information associated with the request such as a request ID or timestamp.
In such a scenario, the return value would look like so:
- Expected success result format with meta
- Expected error result format with meta
- TypeScript
- JavaScript
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Constructing a Dynamic Base URL using Redux stateIn some cases, you may wish to have a dynamically altered base url determined from a property in your Redux state. A baseQuery
has access to a getState
method that provides the current store state at the time it is called. This can be used to construct the desired url using a partial url string, and the appropriate data from your store state.
- TypeScript
- JavaScript
transformResponse
#
Examples - #
Unpacking deeply nested GraphQL data- TypeScript
- JavaScript
createEntityAdapter
#
Normalizing data with In the example below, transformResponse
is used in conjunction with createEntityAdapter
to normalize the data before storing it in the cache.
For a response such as:
The normalized cache data will be stored as:
- TypeScript
- JavaScript
queryFn
#
Examples - #
Using a no-op queryFnIn certain scenarios, you may wish to have a query
or mutation
where sending a request or returning data is not relevant for the situation. Such a scenario would be to leverage the invalidatesTags
property to force re-fetch specific tags
that have been provided to the cache.
See also providing errors to the cache
to see additional detail and an example for such a scenario to 'refetch errored queries'.
- TypeScript
- JavaScript
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Streaming data with no initial requestRTK Query provides the ability for an endpoint to send an initial request for data, followed up with recurring streaming updates that perform further updates to the cached data as the updates occur. However, the initial request is optional, and you may wish to use streaming updates without any initial request fired off.
In the example below, a queryFn
is used to populate the cache data with an empty array, with no initial request sent. The array is later populated using streaming updates via the onCacheEntryAdded
endpoint option, updating the cached data as it is received.
- TypeScript
- JavaScript
#
Performing multiple requests with a single queryIn the example below, a query is written to fetch all posts for a random user. This is done using a first request for a random user, followed by getting all posts for that user. Using queryFn
allows the two requests to be included within a single query, avoiding having to chain that logic within component code.
- TypeScript
- JavaScript