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7 days ago
redux-toolkit
reduxjs

v2.7.0

RTK has hit Stage 2.7! 🤣 This feature release adds support for Standard Schema validation in RTK Query endpoints, fixes several issues with infinite queries, improves perf when infinite queries provide tags, adds a dev-mode check for duplicate middleware, and improves reference stability in slice selectors and infinite query hooks.

Changelog

Standard Schema Validation for RTK Query

Apps often need to validate responses from the server, both to ensure the data is correct, and to help enforce that the data matches the expected TS types. This is typically done with schema libraries such as Zod, Valibot, and Arktype. Because of the similarities in usage APIs, those libraries and others now support a common API definition called Standard Schema, allowing you to plug your chosen validation library in anywhere Standard Schema is supported.

RTK Query now supports using Standard Schema to validate query args, responses, and errors. If schemas are provided, the validations will be run and errors thrown if the data is invalid. Additionally, providing a schema allows TS inference for that type as well, allowing you to omit generic types from the endpoint.

Schema usage is per-endpoint, and can look like this:

import { createApi, fetchBaseQuery } from '@reduxjs/toolkit/query/react'
import * as v from 'valibot'

const postSchema = v.object({
  id: v.number(),
  name: v.string(),
})
type Post = v.InferOutput<typeof postSchema>

const api = createApi({
  baseQuery: fetchBaseQuery({ baseUrl: '/' }),
  endpoints: (build) => ({
    getPost: build.query({
      // infer arg from here
      query: ({ id }: { id: number }) => `/post/${id}`,
      // infer result from here
      responseSchema: postSchema,
    }),
    getTransformedPost: build.query({
      // infer arg from here
      query: ({ id }: { id: number }) => `/post/${id}`,
      // infer untransformed result from here
      rawResponseSchema: postSchema,
      // infer transformed result from here
      transformResponse: (response) => ({
        ...response,
        published_at: new Date(response.published_at),
      }),
    }),
  }),
})

If desired, you can also configure schema error handling with the catchSchemaFailure option. You can also disable actual runtime validation with skipSchemaValidation (primarily useful for cases when payloads may be large and expensive to validate, but you still want to benefit from the TS type inference).

See the "Schema Validation" docs section in the createApi reference and the usage guide sections on queries, infinite queries, and mutations, for more details.

Infinite Query Fixes

This release fixes several reported issue with infinite queries:

  • The lifecycleApi.updateCachedData method is now correctly available
  • The skip option now correctly works for infinite query hooks
  • Infinite query fulfilled actions now include the meta field from the base query (such as {request, response}). For cases where multiple pages are being refetched, this will be the meta from the last page fetched.
  • useInfiniteQuerySubscription now returns stable references for refetch and the fetchNext/PreviousPage methods

upsertQueryEntries, Tags Performance and API State Structure

We recently published a fix to actually process per-endpoint providedTags when using upsertQueryEntries. However, this exposed a performance issue - the internal tag handling logic was doing repeated O(n) iterations over all endpoint+tag entries in order to clear out existing references to that cache key. In cases where hundreds or thousands of cache entries were being inserted, this became extremely expensive.

We've restructured the state.api.provided data structure to handle reverse-mapping between tags and cache keys, which drastically improves performance in this case. However, it's worth noting that this is a change to that state structure. This shouldn't affect apps, because the RTKQ state is intended to be treated as a black box and not generally directly accessed by user app code. However, it's possible someone may have depended on that specific state structure when writing a custom selector, in which case this would break. An actual example of this is the Redux DevTools RTKQ panel, which iterates the tags data while displaying cache entries. That did break with this change. Prior to releasing RTK 2.7,we released Redux DevTools 3.2.10, which includes support for both the old and new state.api.provided definitions.

TS Support Matrix Updates

Following with the DefinitelyTyped support matrix, we've officially dropped support for TS 5.0, and currently support TS 5.1 - 5.8. (RTK likely still works with 5.0, but we no longer test against that in CI.)

Duplicate Middleware Dev Checks

configureStore now checks the final middleware array for duplicate middleware references. This will catch cases such as accidentally adding the same RTKQ API middleware twice (such as adding baseApi.middleware and injectedApi.middlweware - these are actually the same object and same middleware).

Unlike the other dev-mode checks, this is part of configureStore itself, not getDefaultMiddleware().

This can be configured via the new duplicateMiddlewareCheck option.

Other Changes

createEntityAdapter now correctly handles adding an item and then applying multiple updates to it.

The generated combineSlices selectors will now return the same placeholder initial state reference for a given slice, rather than returning a new initial state reference every time.

useQuery hooks should now correctly refetch after dispatching resetApiState.

What's Changed

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.6.1...v2.7.0

2025-03-08 04:48:39
redux-toolkit
reduxjs

v2.6.1

This bugfix release fixes several assorted types issues with the initial infinite query feature release, and adds support for an optional signal argument to createAsyncThunk.

Changelog

Infinite Query Fixes

We've fixed several types issues that were reported with infinite queries after the 2.6.0 release:

  • matchFulfilled and providesTags now get the correct response types
  • We've added pre-typed Type* types to represent infinite queries, similar to the existing pre-defined types for queries and mutations
  • selectCachedArgsForQuery now supports fetching args for infinite query endpoints
  • We fixed some TS type portability issues with infinite queries that caused errors when generating TS declarations
  • useInfiniteQueryState/Subscription now correctly expect just the query arg, not the combined {queryArg, pageParam} object

Other Improvements

createAsyncThunk now accepts an optional {signal} argument. If provided, the internal AbortSignal handling will tie into that signal.

upsertQueryEntries now correctly generates provided tags for upserted cache entries.

What's Changed

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.6.0...v2.6.1

2025-02-24 06:43:04
redux-toolkit
reduxjs

v2.6.0

This feature release adds infinite query support to RTK Query.

Changelog

RTK Query Infinite Query support

Since we first released RTK Query in 2021, we've had users asking us to add support for "infinite queries" - the ability to keep fetching additional pages of data for a given endpoint. It's been by far our most requested feature. Until recently, our answer was that we felt there were too many use cases to support with a single API design approach.

Last year, we revisited this concept and concluded that the best approach was to mimic the flexible infinite query API design from React Query. We had additional discussions with @tkdodo , who described the rationale and implementation approach and encouraged us to use their API design, and @riqts provided an initial implementation on top of RTKQ's existing internals.

We're excited to announce that this release officially adds full infinite query endpoint support to RTK Query!

Using Infinite Queries

As with React Query, the API design is based around "page param" values that act as the query arguments for fetching a specific page for the given cache entry.

Infinite queries are defined with a new build.infiniteQuery() endpoint type. It accepts all of the same options as normal query endpoints, but also needs an additional infiniteQueryOptions field that specifies the infinite query behaviors. With TypeScript, you must supply 3 generic arguments: build.infiniteQuery<ResultType, QueryArg, PageParam>, where ResultType is the contents of a single page, QueryArg is the type passed in as the cache key, and PageParam is the value used to request a specific page.

The endpoint must define an initialPageParam value that will be used as the default (and can be overridden if desired). It also needs a getNextPageParam callback that will calculate the params for each page based on the existing values, and optionally a getPreviousPageParam callback if reverse fetching is needed. Finally, a maxPages option can be provided to limit the entry cache size.

The query and queryFn methods now receive a {queryArg, pageParam} object, instead of just the queryArg.

For the cache entries and hooks, the data field is now an object like {pages: ResultType[], pageParams: PageParam[]>. This gives you flexibility in how you use the data for rendering.

const pokemonApi = createApi({
  baseQuery: fetchBaseQuery({ baseUrl: 'https://example.com/pokemon' }),
  endpoints: (build) => ({
    // 3 TS generics: page contents, query arg, page param
    getInfinitePokemonWithMax: build.infiniteQuery<Pokemon[], string, number>({
      infiniteQueryOptions: {
        // Must provide a default initial page param value
        initialPageParam: 1,
        // Optionally limit the number of cached pages
        maxPages: 3,
        // Must provide a `getNextPageParam` function
        getNextPageParam: (lastPage, allPages, lastPageParam, allPageParams) =>
          lastPageParam + 1,
        // Optionally provide a `getPreviousPageParam` function
        getPreviousPageParam: (
          firstPage,
          allPages,
          firstPageParam,
          allPageParams,
        ) => {
          return firstPageParam > 0 ? firstPageParam - 1 : undefined
        },
      },
      // The `query` function receives `{queryArg, pageParam}` as its argument
      query({ queryArg, pageParam }) {
        return `/type/${queryArg}?page=${pageParam}`
      },
    }),
  }),
})

As with all RTKQ functionality, the core logic is UI-agnostic and does not require React. However, using the RTKQ React entry point will also auto-generate useInfiniteQuery hooks for these endpoints. Infinite query hooks fetch the initial page, then provide fetchNext/PreviousPage functions to let you trigger requests for more pages.

function PokemonList({
    pokemonType = 'fire',
  }: {
    pokemonType?: string
   ) {
  const {
    data,
    isFetching,
    isSuccess,
    fetchNextPage,
    fetchPreviousPage,
    refetch,
  } = api.useGetInfinitePokemonInfiniteQuery(pokemonType)

  const handlePreviousPage = async () => {
    const res = await fetchPreviousPage()
  }

  const handleNextPage = async () => {
    const res = await fetchNextPage()
  }
  
  // `data` is a `{pages, pageParams}` object.
  // You can use those to render whatever UI you need.
  // In this case, flatten per-page arrays of results for this endpoint
  // into a single array to render a list.
  const allPokemon = data?.pages.flat() ?? [];

  // render UI with pages, show loading state, fetch as needed
}

Docs and Examples

The RTK Query docs have been updated with new content and explanations for infinite queries:

We've also added a new infinite query example app in the repo that shows several usage patterns like pagination, cursors, infinite scrolling, and limit+offset queries.

Notes

As with all new features and functionality, more code does mean an increase in bundle size.

We did extensive work to byte-shave and optimize the final bundle size for this feature. Final estimates indicate that this adds about 4.2Kmin to production bundles. That's comparable to React Query's infinite query support size.

However, given RTKQ's current architecture, that bundle size increase is included even if you aren't using any infinite query endpoints in your application. Given the significant additional functionality, that seems like an acceptable tradeoff. (And as always, having this kind of functionality built into RTKQ means that your app benefits when it uses this feature without having to add a lot of additional code to your own app, which would likely be much larger.)

Longer-term, we hope to investigate reworking some of RTKQ's internal architecture to potentially make some of the features opt-in for better bundle size optimizations, but don't have a timeline for that work.

Thanks

This new feature wouldn't have been possible without huge amounts of assistance from several people. We'd like to thank:

  • @tkdodo of TanStack Query, for happily letting us reuse the API design and implementation approach that they worked hard to figure out, and offering us his advice and knowledge on why they made specific design choices
  • @riqts , for building the first initial POC draft PR long before we were even ready to begin thinking about this ourselves
  • @remus-selea and @agusterodin , for trying out various stages of the draft PRs and offering significant detailed feedback and bug reports as I iterated on the implementation

What's Changed

and numerous specific sub-PRs that went into that integration PR as I worked through the implementation over the last few months.

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.5.1...v2.6.0

2025-01-27 03:33:39
redux-toolkit
reduxjs

v2.5.1

This bugfix release fixes a logic issue with the new upsertQueryEntries util that sometimes kept entries in a pending state indefinitely.

Changelog

upsertQueryEntries fixes

Users reported that in some cases, use of upsertQueryEntries to insert RTKQ cache entries prevented any further refetches of that data from happening. After investigation, we found a logic mismatch for how we handle upserts vs the existing upsertQueryData util, which meant that sometimes the entry would be left in a pending state expecting a fulfilled action from a request ID that would never happen.

This release fixes that issue and ensures the updates and refetches happen correctly.

What's Changed

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.5.0...v2.5.1

2024-12-11 10:32:13
redux-toolkit
reduxjs

v2.5.0

This feature release updates the React peer dependency to work with React 19, and fixes an additional skip token issue.

Changelog

React 19 Compat

React 19 was just released! We've updated our peer dep to accept React 19, and updated our runtime and type tests to check against both React 18 and 19.

Also see React-Redux v9.2.0 for the same peer dep update.

Other Fixes

We previously fixed an issue with the RTKQ core where serializeQueryArgs callbacks could be called with skipToken, potentially leading to errors. We've fixed an additional location in the useQuery hooks where that could happen as well.

What's Changed

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.4.0...v2.5.0

2024-11-29 04:42:13
redux-toolkit
reduxjs

v2.4.0

This feature release includes multiple tweaks and fixes to RTK Query functionality, additional exported TS types, and drops support for TS versions earlier than 5.0.

Changelog

RTK Query Improvements

Lazy query hooks can now be reset.

retry.fail now accepts meta as a second argument.

Tag invalidation arrays now ignore nullish values.

We did some small internal refactoring around Maps and default values that shrank bundle size slightly.

Bugfixes

Passing skipToken to a query hook now bails out before running any other logic, which fixes cases where serializeQueryArgs previously threw an error because there were no args to process.

The autoBatchEnhancer now reads window.requestAnimationFrame later, which it to work properly with Jest fake timers.

We fixed cases where the hook result isSuccess flag would briefly flicker to false when switched to a different cache entry that was uninitialized, and would briefly flicker to true when refetching a query that previously errored.

The listener middleware previously had inconsistent logic checks for comparing against existing listener entries (effect + type, vs effect only). It now always checks both effect + type.

Additional TS Types

We now export Typed[Query|Mutation]OnQueryStarted helpers to let you define onQueryStarted callbacks outside of createApi if desired.

We also now export a CreateAsyncThunkFunction type that can be used to type userland wrappers around createAsyncThunk.

TS Support Matrix Updates

We've historically tried to maintain TS backwards compatibility as long as possible, and made occasional updates to our TS support matrix in minor versions over time. As of RTK 2.3.0, we officially supported back through TS 4.7.

As of this release, we're tweaking that support policy to match the policy used by DefinitelyTyped:

Definitely Typed only tests packages on versions of TypeScript that are less than 2 years old image

Given that, we've dropped official support for TS versions earlier than 5.0. (RTK may work with those versions, but we no longer test against them and won't try to fix issues with those versions.)

We'll continue to update our TS support matrix over time based on that 2-year rolling window.

What's Changed

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.3.0...v2.4.0

2024-10-15 05:10:56
redux-toolkit
reduxjs

v2.3.0

This feature release adds a new RTK Query upsertQueryEntries util to batch-upsert cache entries more efficiently, passes through additional values for use in prepareHeaders, and exports additional TS types around query options and selectors.

Changelog

upsertQueryEntries

RTK Query already had an upsertQueryData thunk that would upsert a single cache entry. However, some users wanted to upsert many cache entries (potentially hundreds or thousands), and found that upsertQueryData had poor performance in those cases. This is because upsertQueryData runs the full async request handling sequence, including dispatching both pending and fulfilled actions, each of which run the main reducer and update store subscribers. That means there's 2N store / UI updates per item, so upserting hundreds of items becomes extremely perf-intensive.

RTK Query now includes an api.util.upsertQueryEntries action that is meant to handle the batched upsert use case more efficiently. It's a single synchronous action that accepts an array of many {endpointName, arg, value} entries to upsert. This results in a single store update, making this vastly better for performance vs many individual upsertQueryData calls.

We see this as having two main use cases. The first is prefilling the cache with data retrieved from storage on app startup (and it's worth noting that upsertQueryEntries can accept entries for many different endpoints as part of the same array).

The second is to act as a "pseudo-normalization" tool. RTK Query is not a "normalized" cache. However, there are times when you may want to prefill other cache entries with the contents of another endpoint, such as taking the results of a getPosts list endpoint response and prefilling the individual getPost(id) endpoint cache entries, so that components that reference an individual item endpoint already have that data available.

Currently, you can implement the "pseudo-normalization" approach by dispatching upsertQueryEntries in an endpoint lifecycle, like this:

const api = createApi({
  endpoints: (build) => ({
    getPosts: build.query<Post[], void>({
      query: () => '/posts',
      async onQueryStarted(_, { dispatch, queryFulfilled }) {
        const res = await queryFulfilled
        const posts = res.data

        // Pre-fill the individual post entries with the results
        // from the list endpoint query
        dispatch(
          api.util.upsertQueryEntries(
            posts.map((post) => ({
              endpointName: 'getPost',
              arg: { id: post.id },
              value: post,
            })),
          ),
        )
      },
    }),
    getPost: build.query<Post, Pick<Post, 'id'>>({
      query: (post) => `post/${post.id}`,
    }),
  }),
})

Down the road we may add a new option to query endpoints that would let you provide the mapping function and have it automatically update the corresponding entries.

For additional comparisons between upsertQueryData and upsertQueryEntries, see the upsertQueryEntries API reference.

prepareHeaders Options

The prepareHeaders callback for fetchBaseQuery now receives two additional values in the api argument:

  • arg: the URL string or FetchArgs object that was passed in to fetchBaseQuery for this endpoint
  • extraOptions: any extra options that were provided to the base query

Additional TS Types

We've added a TypedQueryStateSelector type that can be used to pre-type selectors for use with selectFromResult:

const typedSelectFromResult: TypedQueryStateSelector<
  PostsApiResponse,
  QueryArgument,
  BaseQueryFunction,
  SelectedResult
> = (state) => ({ posts: state.data?.posts ?? EMPTY_ARRAY })

function PostsList() {
  const { posts } = useGetPostsQuery(undefined, {
    selectFromResult: typedSelectFromResult,
  })
}

We've also exported several additional TS types around base queries and tag definitions.

What's Changed

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.2.8...v2.3.0

2024-10-15 01:58:13
redux-toolkit
reduxjs

RTK-Query OpenAPI Codegen v2.0.0

This major release revamps the build and publishing setup for the RTK Query OpenAPI Codegen, as well as merging numerous PRs from external contributors.

This should resolve many outstanding issues and feature requests.

There were no changes from 2.0.0-alpha.0.

What's Changed

2024-10-08 11:13:04
redux-toolkit
reduxjs

v2.2.8

This bugfix release fixes a long-standing issue with RTK Query lazy query triggers returning stale data in some cases, fixes an error handling issue in RTK Query, and exports additional TS types.

Changelog

Lazy Query Trigger Handling

We'd had a couple long-standing issues reporting that const result = await someLazyQueryTrigger() sometimes returned stale data, especially if a mutation had just invalidated that query's tag.

We finally got a good repro of this issue and identified it as a mis-written call inside of the middleware that skipped past the necessary handling to activate the correct query status tracking in that scenario. This should now be fixed.

Other Changes

Timeout handling in RTKQ endpoints should now correctly throw a timeout-related error instead of an AbortError.

Base queries now have access to the current queryCacheKey value so it can be used in deciding query logic.

We've exported several more TS types related to query options, as some users have been depending on those even though they previously weren't part of the public API.

What's Changed

Full Changelog: https://github.com/reduxjs/redux-toolkit/compare/v2.2.7...v2.2.8

2024-08-31 07:00:55
redux-toolkit
reduxjs

RTK-Query OpenAPI Codegen v1.2.0

This rolls up several existing minor releases:

1.2.0 - 2023-11-09

This version adds a new mergeReadWriteOnly configuration option (default to false) that, when set to true will not generate separate types for read-only and write-only properties.

1.1.3 - 2023-10-11

Added

1.1.2 - 2023-10-11

Added

  • Support for Read Only Properties in the Open API spec. Previously, this property was ignored.
    • Now if the readOnly property is present and set to true in a schema, it will split the type into two types: one with the read only property suffixed as 'Read' and the other without the read only properties, using the same type name as before.
    • This may cause issues if you had your OpenAPI spec properly typed/configured, as it will remove the read onyl types from your existing type. You will need to switch to the new type suffixed as 'Read' to avoid missing property names.

1.1.1 - 2023-10-11

Changed