Hooks for fetching, caching and updating asynchronous data in React
Enjoy this library? Try them all! React Table, React Form, React Charts
- Transport/protocol/backend agnostic data fetching (REST, GraphQL, promises, whatever!)
- Auto Caching + Refetching (stale-while-revalidate, Window Refocus, Polling/Realtime)
- Parallel + Dependent Queries
- Mutations + Reactive Query Refetching
- Multi-layer Cache + Automatic Garbage Collection
- Paginated + Cursor-based Queries
- Load-More + Infinite Scroll Queries w/ Scroll Recovery
- Request Cancellation
- React Suspense + Fetch-As-You-Render Query Prefetching
- Dedicated Devtools (React Query Devtools)
- 4kb - 6kb (depending on features imported)
Core Issues and Solution
Tools for managing "global state" are plentiful these days, but most of these tools:
- Mistake server cache state for global state
- Force you to manage async data in a synchronous way
- Duplicate unnecessary network operations
- Use naive or over-engineered caching strategies
- Are too basic to handle large-scale apps or
- Are too complex or built for highly-opinionated systems like Redux, GraphQL, [insert proprietary tools], etc.
- Do not provide tools for server mutations
- Either do not provide easy access to the cache or do, but expose overpowered foot-gun APIs to the developer
React Query exports a set of hooks that address these issues. Out of the box, React Query:
- Separates your server cache state from your global state
- Provides async aware APIs for reading and updating server state/cache
- Dedupes both async and sync requests to async resources
- Automatically caches data, invalidates and refetches stale data, and manages garbage collection of unused data
- Scales easily as your application grows
- Is based solely on Promises, making it highly unopinionated and interoperable with any data fetching strategy including REST, GraphQL and other transactional APIs
- Provides an integrated promise-based mutation API
- Opt-in Manual or Advance cache management
Inspiration & Hat-Tipping
A big thanks to both [Draqula](https://github.com/vadimdemedes/draqula) for inspiring a lot of React Query's original API and documentation and also [Zeit's SWR](https://github.com/zeit/swr) and its creators for inspiring even further customizations and examples. You all rock!
How is this different from Zeit's SWR?
Zeit's SWR is a great library, and is very similar in spirit and implementation to React Query with a few notable differences:
- Automatic Cache Garbage Collection - React Query handles automatic cache purging for inactive queries and garbage collection. This can mean a much smaller memory footprint for apps that consume a lot of data or data that is changing often in a single session
useMutation
- A dedicated hook for handling generic lifecycles around triggering mutations and handling their side-effects in applications. SWR does not ship with anything similar, and you may find yourself reimplementing most if not all ofuseMutation
's functionality in user-land. With this hook, you can extend the lifecycle of your mutations to reliably handle successful refetching strategies, failure rollbacks and error handling.- Prefetching - React Query ships with 1st class prefetching utilities which not only come in handy with non-suspenseful apps but also make fetch-as-you-render patterns possible with React Query. SWR does not come with similar utilities and relies on
<link rel='preload'>
and/or manually fetching and updating the query cache - Query cancellation integration is baked into React Query. You can easily use this to wire up request cancellation in most popular fetching libraries, including but not limited to fetch and axios.
- Query Key Generation - React Query uses query key generation, query variables, and implicit query grouping. The query key and variables that are passed to a query are less URL/Query-based by nature and much more flexible. All items supplied to the query key array are used to compute the unique key for a query (using a stable and deterministic sorting/hashing implementation). This means you can spend less time thinking about precise key matching, but more importantly, allows you to use partial query-key matching when refetching, updating, or removing queries in mass eg. you can refetch every query that starts with a
todos
in its key, regardless of variables, or you can target specific queries with (or without) variables, and even use functional filtering to select queries in most places. This architecture is much more robust and forgiving especially for larger apps.
- PayPal
- Amazon
- Walmart
- Microsoft
- Target
- HP
- Major League Baseball Association
- Volvo
- Ocado
- UPC.ch
- EFI.com
- ReactBricks
- Nozzle.io
These analytics are made available via the awesome Scarf package analytics library
- Basic - CodeSandbox - Source
- Custom Hooks - CodeSandbox - Source
- Auto Refetching / Polling / Realtime - CodeSandbox - Source
- Window Refocus Refetching - CodeSandbox - Source
- Optimistic Updates - CodeSandbox - Source
- Pagination - CodeSandbox - Source
- Load-More & Infinite Scroll - CodeSandbox - Source
- Suspense - CodeSandbox - Source
- Playground (with devtools) - CodeSandbox - Source
- Star Wars (with devtools) - CodeSandbox - Source
- Rick And Morty (with devtools) - CodeSandbox - Source
This library is being built and maintained by me, @tannerlinsley and I am always in need of more support to keep projects like this afloat. If you would like to get premium support, add your logo or name on this README, or simply just contribute to my open source Sponsorship goal, visit my Github Sponsors page!
Get Your Logo Here! |
Get Your Logo Here! |
- Steven Miyakawa (@SamSamskies)
- Installation
- Defaults to keep in mind
- Queries
- Query Keys
- Query Key Variables
- Optional Variables
- Using a Query Object instead of parameters
- Dependent Queries
- Caching & Invalidation
- Paginated Queries with
usePaginatedQuery
- Load-More & Infinite-Scroll with
useInfiniteQuery
- Scroll Restoration
- Manual Querying
- Retries
- Retry Delay
- Prefetching
- Initial Data
- Initial Data Function
- Initial Data from Cache
- SSR & Initial Data
- Suspense Mode
- Fetch-on-render vs Fetch-as-you-render
- Canceling Query Requests
- Mutations
- Displaying Background Fetching Loading States
- Displaying Global Background Fetching Loading State
- Window-Focus Refetching
- Custom Query Key Serializers (Experimental)
- React Query Devtools
- API
useQuery
usePaginatedQuery
useInfiniteQuery
useMutation
queryCache
queryCache.prefetchQuery
queryCache.getQueryData
queryCache.setQueryData
queryCache.refetchQueries
queryCache.cancelQueries
queryCache.removeQueries
queryCache.getQuery
queryCache.getQueries
queryCache.isFetching
queryCache.subscribe
queryCache.clear
useQueryCache
useIsFetching
ReactQueryConfigProvider
ReactQueryCacheProvider
setConsole
- Contributors ✨
$ npm i --save react-query
# or
$ yarn add react-query
React Query uses Scarf to collect anonymized installation analytics. These analytics help support the maintainers of this library. However, if you'd like to opt out, you can do so by setting scarfSettings.enabled = false
in your project's package.json
. Alternatively, you can set the environment variable SCARF_ANALYTICS=false
before you install.
Out of the box, React Query is configured with aggressive but sane defaults. Sometimes these defaults can catch new users off guard or make learning/debugging difficult if they are unknown by the user. Keep them in mind as you continue to learn and use React Query:
- Query results that are currently rendered on the screen will become "stale" immediately after they are resolved and will be refetched automatically in the background when they are rendered or used again. To change this, you can alter the default
staleTime
for queries to something other than0
milliseconds. - Query results that become unused (all instances of the query are unmounted) will still be cached in case they are used again for a default of 5 minutes before they are garbage collected. To change this, you can alter the default
cacheTime
for queries to something other than1000 * 60 * 5
milliseconds. - Stale queries will automatically be refetched in the background when the browser window is refocused by the user. You can disable this using the
refetchOnWindowFocus
option in queries or the global config. - Queries that fail will silently and automatically be retried 3 times, with exponential backoff delay before capturing and displaying an error to the UI. To change this, you can alter the default
retry
andretryDelay
options for queries to something other than3
and the default exponential backoff function. - Query results by default are deep compared to detect if data has actually changed and if not, the data reference remains unchanged to better help with value stabilization with regards to useMemo and useCallback. The default deep compare function use here (
config.isDataEqual
) only supports comparing JSON-compatible primitives. If you are dealing with any non-json compatible values in your query responses OR are seeing performance issues with the deep compare function, you should probably disable it (config.isDataEqual = () => false
) or customize it to better fit your needs.
To make a new query, call the useQuery
hook with at least:
- A unique key for the query
- An asynchronous function (or similar then-able) to resolve the data
import { useQuery } from 'react-query'
function App() {
const info = useQuery('todos', fetchTodoList)
}
The unique key you provide is used internally for refetching, caching, deduping related queries.
The query info
returned contains all information about the query and can be easily destructured and used in your component:
function Todos() {
const { status, data, error } = useQuery('todos', fetchTodoList)
if (status === 'loading') {
return <span>Loading...</span>
}
if (status === 'error') {
return <span>Error: {error.message}</span>
}
// also status === 'success', but "else" logic works, too
return (
<ul>
{data.map(todo => (
<li key={todo.id}>{todo.title}</li>
))}
</ul>
)
}
At its core, React Query manages query caching for you and uses a serializable array or "query key" to do this. Using a query key that is simple and unique to the query's data is very important. In other similar libraries, you'll see the use of URLs and/or GraphQL query template strings to achieve this, but we believe at scale, this becomes prone to typos and errors. To relieve this issue, React Query Keys can be strings or an array with a string and then any number of serializable primitives and/or objects.
The simplest form of a key is actually not an array, but an individual string. When a string query key is passed, it is converted to an array internally with the string as the only item in the query key. This format is useful for:
- Generic List/Index resources
- Non-hierarchical resources
// A list of todos
useQuery('todos', ...) // queryKey === ['todos']
// Something else, whatever!
useQuery('somethingSpecial', ...) // queryKey === ['somethingSpecial']
When a query needs more information to uniquely describe its data, you can use an array with a string and any number of serializable objects to describe it. This is useful for:
- Specific resources
- It's common to pass an ID, index, or other primitive
- Queries with additional parameters
- It's common to pass an object of additional options
// An individual todo
useQuery(['todo', 5], ...)
// queryKey === ['todo', 5]
// And individual todo in a "preview" format
useQuery(['todo', 5, { preview: true }], ...)
// queryKey === ['todo', 5, { preview: 'true' } }]
// A list of todos that are "done"
useQuery(['todos', { type: 'done' }], ...)
// queryKey === ['todos', { type: 'done' }]
This means that no matter the order of keys in objects, all of the following queries would result in the same final query key of ['todos', { page, status }]
:
useQuery(['todos', { status, page }], ...)
useQuery(['todos', { page, status }], ...)
useQuery(['todos', { page, status, other: undefined }], ...)
The following query keys, however, are not equal. Array item order matters!
useQuery(['todos', status, page], ...)
useQuery(['todos', page, status], ...)
useQuery(['todos', undefined, page, status], ...)
To use external props, state, or variables in a query function, it's easiest to pass them as items in your array query keys! All query keys get passed through to your query function as parameters in the order they appear in the array key:
function Todos({ completed }) {
const { status, data, error } = useQuery(
['todos', { status, page }],
fetchTodoList
)
}
// Access the key, status and page variables in your query function!
function fetchTodoList(key, { status, page }) {
return new Promise()
// ...
}
If you send through more items in your query key, they will also be available in your query function:
function Todo({ todoId, preview }) {
const { status, data, error } = useQuery(
['todo', todoId, { preview }],
fetchTodoById
)
}
// Access status and page in your query function!
function fetchTodoById(key, todoId, { preview }) {
return new Promise()
// ...
}
Whenever a query's key changes, the query will automatically update. In the following example, a new query is created whenever todoId
changes:
function Todo({ todoId }) {
const { status, data, error } = useQuery(['todo', todoId], fetchTodo)
}
In some scenarios, you may find yourself needing to pass extra information to your query that shouldn't (or doesn't need to be) a part of the query key. useQuery
, usePaginatedQuery
and useInfiniteQuery
all support passing an optional array of additional parameters to be passed to your query function:
function Todo({ todoId, preview }) {
const { status, data, error } = useQuery(
// These will be used as the query key
['todo', todoId],
// These will get passed directly to our query function
[
debug,
{
foo: true,
bar: false,
},
],
fetchTodoById
)
}
function fetchTodoById(key, todoId, debug, { foo, bar }) {
return new Promise()
// ...
}
Anywhere the [queryKey, variables, queryFn, config]
options are supported throughout React Query's API, you can also use an object to express the same configuration:
import { useQuery } from 'react-query'
useQuery({
queryKey: ['todo', 7],
queryFn: fetchTodos,
variables: [],
config: {},
})
React Query makes it easy to make queries that depend on other queries for both:
- Parallel Queries (avoiding waterfalls) and
- Serial Queries (when a piece of data is required for the next query to happen).
To do this, you can use the following 2 approaches:
If a query isn't ready to be requested yet, just pass a falsy value as the query key or as an item in the query key:
// Get the user
const { data: user } = useQuery(['user', email], getUserByEmail)
// Then get the user's projects
const { data: projects } = useQuery(
// `user` would be `null` at first (falsy),
// so the query will not execute while the query key is falsy
user && ['projects', user.id],
getProjectsByUser
)
If a function is passed, the query will not execute until the function can be called without throwing:
// Get the user
const { data: user } = useQuery(['user', email])
// Then get the user's projects
const { data: projects } = useQuery(
// This will throw trying to access property `id` of `undefined` until the `user` is available
() => ['projects', user.id]
)
React Query caching is automatic out of the box. It uses a stale-while-revalidate
in-memory caching strategy together with robust query deduping to always ensure a query's data is only cached when it's needed and only cached once even if that query is used multiple times across your application.
At a glance:
- The cache is keyed on a deterministic hash of your query key.
- By default, query results become stale immediately after a successful fetch. This can be configured using the
staleTime
option at both the global and query-level. - Stale queries are automatically refetched whenever their query keys change (this includes variables used in query key tuples), when they are freshly mounted from not having any instances on the page, or when they are refetched via the query cache manually.
- Though a query result may be stale, query results are by default always cached when in use.
- If and when a query is no longer being used, it becomes inactive and by default is cached in the background for 5 minutes. This time can be configured using the
cacheTime
option at both the global and query-level. - After a query is inactive for the
cacheTime
specified (defaults to 5 minutes), the query is deleted and garbage collected.
A more detailed example of the caching lifecycle
Let's assume we are using the default cacheTime
of 5 minutes and the default staleTime
of 0
.
- A new instance of
useQuery('todos', fetchTodos)
mounts.- Since no other queries have been made with this query + variable combination, this query will show a hard loading state and make a network request to fetch the data.
- It will then cache the data using
'todos'
andfetchTodos
as the unique identifiers for that cache. - A stale invalidation is scheduled using the
staleTime
option as a delay (defaults to0
, or immediately).
- A second instance of
useQuery('todos', fetchTodos)
mounts elsewhere.- Because this exact data exist in the cache from the first instance of this query, that data is immediately returned from the cache.
- Both instances of the
useQuery('todos', fetchTodos)
query are unmounted and no longer in use.- Since there are no more active instances to this query, a cache timeout is set using
cacheTime
to delete and garbage collect the query (defaults to 5 minutes).
- Since there are no more active instances to this query, a cache timeout is set using
- No more instances of
useQuery('todos', fetchTodos)
appear within 5 minutes.- This query and its data are deleted and garbage collected.
Rendering paginated data is a very common UI pattern to avoid overloading bandwidth or even your UI. React Query exposes a usePaginatedQuery
that is very similar to useQuery
that helps with this very scenario.
Consider the following example where we would ideally want to increment a pageIndex (or cursor) for a query. If we were to use useQuery
, it would technically work fine, but the UI would jump in and out of the success
and loading
states as different queries are created and destroyed for each page or cursor. By using usePaginatedQuery
we get a few new things:
- Instead of
data
, you should useresolvedData
instead. This is the data from the last known successful query result. As new page queries resolve,resolvedData
remains available to show the last page's data while a new page is requested. When the new page data is received,resolvedData
get's updated to the new page's data. - If you specifically need the data for the exact page being requested,
latestData
is available. When the desired page is being requested,latestData
will beundefined
until the query resolves, then it will get updated with the latest pages data result.
function Todos() {
const [page, setPage] = React.useState(0)
const fetchProjects = (key, page = 0) => fetch('/api/projects?page=' + page)
const {
status,
resolvedData,
latestData,
error,
isFetching,
} = usePaginatedQuery(['projects', page], fetchProjects)
return (
<div>
{status === 'loading' ? (
<div>Loading...</div>
) : status === 'error' ? (
<div>Error: {error.message}</div>
) : (
// `resolvedData` will either resolve to the latest page's data
// or if fetching a new page, the last successful page's data
<div>
{resolvedData.projects.map(project => (
<p key={project.id}>{project.name}</p>
))}
</div>
)}
<span>Current Page: {page + 1}</span>
<button
onClick={() => setPage(old => Math.max(old - 1, 0))}
disabled={page === 0}
>
Previous Page
</button>{' '}
<button
onClick={() =>
// Here, we use `latestData` so the Next Page
// button isn't relying on potentially old data
setPage(old => (!latestData || !latestData.hasMore ? old : old + 1))
}
disabled={!latestData || !latestData.hasMore}
>
Next Page
</button>
{// Since the last page's data potentially sticks around between page requests,
// we can use `isFetching` to show a background loading
// indicator since our `status === 'loading'` state won't be triggered
isFetching ? <span> Loading...</span> : null}{' '}
</div>
)
}
Rendering lists that can additively "load more" data onto an existing set of data or "infinite scroll" is also a very common UI pattern. React Query supports a useful version of useQuery
called useInfiniteQuery
for querying these types of lists.
When using useInfiniteQuery
, you'll notice a few things are different:
data
is now an array of arrays that contain query group results, instead of the query results themselves- A
fetchMore
function is now available - A
getFetchMore
option is available for both determining if there is more data to load and the information to fetch it. This information is supplied as an additional parameter in the query function (which can optionally be overridden when calling thefetchMore
function) - A
canFetchMore
boolean is now available and istrue
ifgetFetchMore
returns a truthy value - An
isFetchingMore
boolean is now available to distinguish between a background refresh state and a loading more state
Let's assume we have an API that returns pages of projects
3 at a time based on a cursor
index along with a cursor that can be used to fetch the next group of projects
fetch('/api/projects?cursor=0')
// { data: [...], nextCursor: 3}
fetch('/api/projects?cursor=3')
// { data: [...], nextCursor: 6}
fetch('/api/projects?cursor=6')
// { data: [...], nextCursor: 9}
fetch('/api/projects?cursor=9')
// { data: [...] }
With this information, we can create a "Load More" UI by:
- Waiting for
useInfiniteQuery
to request the first group of data by default - Returning the information for the next query in
getFetchMore
- Calling
fetchMore
function
Note: It's very important you do not call
fetchMore
with arguments unless you want them to override thefetchMoreInfo
data returned from thegetFetchMore
function. eg. Do not do this:<button onClick={fetchMore} />
as this would send the onClick event to thefetchMore
function.
import { useInfiniteQuery } from 'react-query'
function Projects() {
const fetchProjects = (key, cursor = 0) =>
fetch('/api/projects?cursor=' + cursor)
const {
status,
data,
isFetching,
isFetchingMore,
fetchMore,
canFetchMore,
} = useInfiniteQuery('projects', fetchProjects, {
getFetchMore: (lastGroup, allGroups) => lastGroup.nextCursor,
})
return status === 'loading' ? (
<p>Loading...</p>
) : status === 'error' ? (
<p>Error: {error.message}</p>
) : (
<>
{data.map((group, i) => (
<React.Fragment key={i}>
{group.projects.map(project => (
<p key={project.id}>{project.name}</p>
))}
</React.Fragment>
))}
<div>
<button
onClick={() => fetchMore()}
disabled={!canFetchMore || isFetchingMore}
>
{isFetchingMore
? 'Loading more...'
: canFetchMore
? 'Load More'
: 'Nothing more to load'}
</button>
</div>
<div>{isFetching && !isFetchingMore ? 'Fetching...' : null}</div>
</>
)
}
When an infinite query becomes stale
and needs to be refetched, each group is fetched sequentially
, starting from the first one. This ensures that even if the underlying data is mutated we're not using stale cursors and potentially getting duplicates or skipping records. If an infinite query's results are ever removed from the cache, the pagination restarts at the initial state with only the initial group being requested.
By default, the info returned from getFetchMore
will be supplied to the query function, but in some cases, you may want to override this. You can pass custom variables to the fetchMore
function which will override the default info like so:
function Projects() {
const fetchProjects = (key, cursor = 0) =>
fetch('/api/projects?cursor=' + cursor)
const {
status,
data,
isFetching,
isFetchingMore,
fetchMore,
canFetchMore,
} = useInfiniteQuery('projects', fetchProjects, {
getFetchMore: (lastGroup, allGroups) => lastGroup.nextCursor,
})
// Pass your own custom fetchMoreInfo
const skipToCursor50 = () => fetchMore(50)
}
Out of the box, "scroll restoration" for all queries (including paginated and infinite queries) Just Works™️ in React Query. The reason for this is that query results are cached and able to be retrieved synchronously when a query is rendered. As long as your queries are being cached long enough (the default time is 5 minutes) and have not been garbage collected, scroll restoration will work out of the box all the time.
If you ever want to disable a query from automatically running, you can use the manual = true
option. When manual
is set to true:
- The query will start in the
status === 'success'
state - The query will not automatically fetch on mount
- The query will not automatically refetch due to rerenders, new instances appearing, or changes to its query key or variables.
Pro Tip #1: Because manual queries start in the
status === 'success'
state, you should consider supplying aninitialData
option to pre-populate the cache or similarly use a default parameter value when destructuring the query result
Pro Tip #2: Don't use
manual
for dependent queries. Use Dependent Queries instead!
function Todos() {
const { status, data, error, refetch, isFetching } = useQuery(
'todos',
fetchTodoList,
{
manual: true,
initialData: [],
}
)
return (
<>
<button onClick={() => refetch()}>Fetch Todos</button>
{status === 'loading' ? (
<span>Loading...</span>
) : status === 'error' ? (
<span>Error: {error.message}</span>
) : (
// `status === 'success'` will be the initial state, so we need
// account for our initial data (an empty array)
<>
<ul>
{!data.length
? 'No todos yet...'
: data.map(todo => <li key={todo.id}>{todo.title}</li>)}
</ul>
<div>{isFetching ? 'Fetching...' : null}</div>
</>
)}
</>
)
}
When a useQuery
query fails (the function throws an error), React Query will automatically retry the query if that query's request has not reached the max number of consecutive retries (defaults to 3
) or a function is provided to determine if a retry is allowed.
You can configure retries both on a global level and an individual query level.
- Setting
retry = false
will disable retries. - Setting
retry = 6
will retry failing requests 6 times before showing the final error thrown by the function. - Setting
retry = true
will infinitely retry failing requests. - Setting
retry = (failureCount, error) => ...
allows for custom logic based on why the request failed.
import { useQuery } from 'react-query'
// Make specific query retry a certain number of times
const { status, data, error } = useQuery(['todos', 1], fetchTodoListPage, {
retry: 10, // Will retry failed requests 10 times before displaying an error
})
By default, retries in React Query do not happen immediately after a request fails. As is standard, a back-off delay is gradually applied to each retry attempt.
The default retryDelay
is set to double (starting at 1000
ms) with each attempt, but not exceed 30 seconds:
// Configure for all queries
import { ReactQueryConfigProvider } from 'react-query'
const queryConfig = {
retryDelay: attemptIndex => Math.min(1000 * 2 ** attemptIndex, 30000),
}
function App() {
return (
<ReactQueryConfigProvider config={queryConfig}>
...
</ReactQueryConfigProvider>
)
}
Though it is not recommended, you can obviously override the retryDelay
function/integer in both the Provider and individual query options. If set to an integer instead of a function the delay will always be the same amount of time:
const { status, data, error } = useQuery('todos', fetchTodoList, {
retryDelay: 1000, // Will always wait 1000ms to retry, regardless of how many retries
})
If you're lucky enough, you may know enough about what your users will do to be able to prefetch the data they need before it's needed! If this is the case, you can use the prefetchQuery
function to prefetch the results of a query to be placed into the cache:
import { queryCache } from 'react-query'
const prefetchTodos = async () => {
const queryData = await queryCache.prefetchQuery('todos', () =>
fetch('/todos')
)
// The results of this query will be cached like a normal query
}
The next time a useQuery
instance is used for a prefetched query, it will use the cached data! If no instances of useQuery
appear for a prefetched query, it will be deleted and garbage collected after the time specified in cacheTime
.
Alternatively, if you already have the data for your query synchronously available, you can use the Query Cache's setQueryData
method to directly add or update a query's cached result.
There may be times when you already have the initial data for a query synchronously available in your app. If and when this is the case, you can use the config.initialData
option to set the initial data for a query and skip the first round of fetching!
When providing an initialData
value that is anything other than undefined
:
- The query
status
will initialize assuccess
instead ofloading
- The query's
isStale
property will initialize astrue
instead of false - The query will not automatically fetch until it is invalidated somehow (eg. window refocus, queryCache refetching, etc)
function Todos() {
const queryInfo = useQuery('todos', () => fetch('/todos'), {
initialData: initialTodos,
})
}
If the process for accessing a query's initial data is intensive or just not something you want to perform on every render, you can pass a function as the initialData
value. This function will be executed only once when the query is initialized, saving you precious memory and CPU:
function Todos() {
const queryInfo = useQuery('todos', () => fetch('/todos'), {
initialData: () => {
return getExpensiveTodos()
},
})
}
In some circumstances, you may be able to provide the initial data for a query from the cached result of another. A good example of this would be searching the cached data from a todos list query for an individual todo item, then using that as the initial data for your individual todo query:
function Todo({ todoId }) {
const queryInfo = useQuery(['todo', todoId], () => fetch('/todos'), {
initialData: () => {
// Use a todo from the 'todos' query as the initial data for this todo query
return queryCache.getQueryData('todos')?.find(d => d.id === todoId)
},
})
}
Most of the time, this pattern works well, but if the source query you're using to look up the initial data from is old, you may not want to use the data at all and just fetch from the server. To make this decision easier, you can use the queryCache.getQuery
method instead to get more information about the source query, including a query.state.updatedAt
timestamp you can use to decide if the query is "fresh" enough for your needs:
function Todo({ todoId }) {
const queryInfo = useQuery(['todo', todoId], () => fetch('/todos'), {
initialData: () => {
// Get the query object
const query = queryCache.getQuery('todos')
// If the query exists and has data that is no older than 10 seconds...
if (query && Date.now() - query.state.updatedAt <= 10 * 1000) {
// return the individual todo
return query.state.data.find(d => d.id === todoId)
}
// Otherwise, return undefined and let it fetch!
},
})
}
When using SSR (server-side-rendering) with React Query there are a few things to note:
- Query caches are not written to memory during SSR. This is outside of the scope of React Query and easily leads to out-of-sync data when used with frameworks like Next.js or other SSR strategies.
- Queries rendered on the server will by default use the
initialData
of an unfetched query. This means that by default,data
will be set toundefined
. To get around this in SSR, you can either pre-seed a query's cache data using theconfig.initialData
option:
const { status, data, error } = useQuery('todos', fetchTodoList, {
initialData: [{ id: 0, name: 'Implement SSR!' }],
})
// data === [{ id: 0, name: 'Implement SSR!'}]
Or, alternatively you can just destructure from undefined
in your query results:
const { status, data = [{ id: 0, name: 'Implement SSR!' }], error } = useQuery(
'todos',
fetchTodoList
)
The query's state will still reflect that it is stale and has not been fetched yet, and once mounted, it will continue as normal and request a fresh copy of the query result.
React Query can also be used with React's new Suspense for Data Fetching API's. To enable this mode, you can set either the global or query level config's suspense
option to true
.
Global configuration:
// Configure for all queries
import { ReactQueryConfigProvider } from 'react-query'
const queryConfig = {
suspense: true,
}
function App() {
return (
<ReactQueryConfigProvider config={queryConfig}>
...
</ReactQueryConfigProvider>
)
}
Query configuration:
import { useQuery } from 'react-query'
// Enable for an individual query
useQuery(queryKey, queryFn, { suspense: true })
When using suspense mode, status
states and error
objects are not needed and are then replaced by usage of the React.Suspense
component (including the use of the fallback
prop and React error boundaries for catching errors). Please see the Suspense Example for more information on how to set up suspense mode.
In addition to queries behaving differently in suspense mode, mutations also behave a bit differently. By default, instead of supplying the error
variable when a mutation fails, it will be thrown during the next render of the component it's used in and propagate to the nearest error boundary, similar to query errors. If you wish to disable this, you can set the useErrorBoundary
option to false
. If you wish that errors are not thrown at all, you can set the throwOnError
option to false
as well!
Out of the box, React Query in suspense
mode works really well as a Fetch-on-render solution with no additional configuration. However, if you want to take it to the next level and implement a Fetch-as-you-render
model, we recommend implementing Prefetching on routing and/or user interactions events to initialize queries before they are needed.
By default, queries that become inactive before their promises are resolved are simply ignored instead of canceled. Why is this?
- For most applications, ignoring out-of-date queries is sufficient.
- Cancellation APIs may not be available for every query function.
- If cancellation APIs are available, they typically vary in implementation between utilities/libraries (eg. Fetch vs Axios vs XMLHttpRequest).
But don't worry! If your queries are high-bandwidth or potentially very expensive to download, React Query exposes a generic way to cancel query requests using a cancellation token or other related API. To integrate with this feature, attach a cancel
function to the promise returned by your query that implements your request cancellation. When a query becomes out-of-date or inactive, this promise.cancel
function will be called (if available):
Using axios
:
import { CancelToken } from 'axios'
const query = useQuery('todos', () => {
// Create a new CancelToken source for this request
const source = CancelToken.source()
const promise = axios.get('/todos', {
// Pass the source token to your request
cancelToken: source.token,
})
// Cancel the request if React Query calls the `promise.cancel` method
promise.cancel = () => {
source.cancel('Query was cancelled by React Query')
}
return promise
})
Using fetch
:
const query = useQuery('todos', () => {
// Create a new AbortController instance for this request
const controller = new AbortController()
// Get the abortController's signal
const signal = controller.signal
const promise = fetch('/todos', {
method: 'get',
// Pass the signal to your request
signal,
})
// Cancel the request if React Query calls the `promise.cancel` method
promise.cancel = controller.abort
return promise
})
Unlike queries, mutations are typically used to create/update/delete data or perform server side-effects. For this purpose, React Query exports a useMutation
hook.
Assuming the server implements a ping mutation, that returns "pong" string, here's an example of the most basic mutation:
const PingPong = () => {
const [mutate, { status, data, error }] = useMutation(pingMutation)
const onPing = async () => {
try {
const data = await mutate()
console.log(data)
// { ping: 'pong' }
} catch {
// Uh oh, something went wrong
}
}
return <button onClick={onPing}>Ping</button>
}
Mutations without variables are not that useful, so let's add some variables to closer match reality.
To pass variables
to your mutate
function, call mutate
with an object.
// Notice how the fetcher function receives an object containing
// all possible variables
const createTodo = ({ title }) => {
/* trigger an http request */
}
const CreateTodo = () => {
const [title, setTitle] = useState('')
const [mutate] = useMutation(createTodo)
const onCreateTodo = async e => {
// Prevent the form from refreshing the page
e.preventDefault()
try {
await mutate({ title })
// Todo was successfully created
} catch (error) {
// Uh oh, something went wrong
}
}
return (
<form onSubmit={onCreateTodo}>
<input
type="text"
value={title}
onChange={e => setTitle(e.target.value)}
/>
<br />
<button type="submit">Create Todo</button>
</form>
)
}
Even with just variables, mutations aren't all that special, but when used with the onSuccess
option, the Query Cache's refetchQueries
method and the Query Cache's setQueryData
method, mutations become a very powerful tool.
Note that since version 1.1.0, the mutate
function is no longer called synchronously so you cannot use it in an event callback. If you need to access the event in onSubmit
you need to wrap mutate
in another function. This is due to React event pooling.
// This will not work
const CreateTodo = () => {
const [mutate] = useMutation(event => {
event.preventDefault()
fetch('/api', new FormData(event.target))
})
return <form onSubmit={mutate}>...</form>
}
// This will work
const CreateTodo = () => {
const [mutate] = useMutation(formData => {
fetch('/api', formData)
})
const onSubmit = event => {
event.preventDefault()
mutate(new FormData(event.target))
}
return <form onSubmit={onSubmit}>...</form>
}
When a mutation succeeds, it's likely that other queries in your application need to update. Where other libraries that use normalized caches would attempt to update local queries with the new data imperatively, React Query helps you to avoid the manual labor that comes with maintaining normalized caches and instead prescribes atomic updates and refetching instead of direct cache manipulation.
For example, assume we have a mutation to post a new todo:
const [mutate] = useMutation(postTodo)
When a successful postTodo
mutation happens, we likely want all todos
queries to get refetched to show the new todo item. To do this, you can use useMutation
's onSuccess
options and the queryCache
's refetchQueries
:
import { useMutation, queryCache } from 'react-query'
// When this mutation succeeds, refetch any queries with the `todos` or `reminders` query key
const [mutate] = useMutation(addTodo, {
onSuccess: () => {
queryCache.refetchQueries('todos')
queryCache.refetchQueries('reminders')
},
})
mutate(todo)
// The 3 queries below will be refetched when the mutation above succeeds
const todoListQuery = useQuery('todos', fetchTodoList)
const todoListQuery = useQuery(['todos', { page: 1 }], fetchTodoList)
const remindersQuery = useQuery('reminders', fetchReminders)
You can even refetch queries with specific variables by passing a more specific query key to the refetchQueries
method:
const [mutate] = useMutation(addTodo, {
onSuccess: () => {
queryCache.refetchQueries(['todos', { type: 'done' }])
},
})
mutate(todo)
// The query below will be refetched when the mutation above succeeds
const todoListQuery = useQuery(['todos', { type: 'done' }], fetchTodoList)
// However, the following query below will NOT be refetched
const todoListQuery = useQuery('todos', fetchTodoList)
The refetchQueries
API is very flexible, so even if you want to only refetch todos
queries that don't have any more variables or subkeys, you can pass an exact: true
option to the refetchQueries
method:
const [mutate] = useMutation(addTodo, {
onSuccess: () => {
queryCache.refetchQueries('todos', { exact: true })
},
})
mutate(todo)
// The query below will be refetched when the mutation above succeeds
const todoListQuery = useQuery(['todos'], fetchTodoList)
// However, the following query below will NOT be refetched
const todoListQuery = useQuery(['todos', { type: 'done' }], fetchTodoList)
If you find yourself wanting even more granularity, you can pass a predicate function to the refetchQueries
method. This function will receive each query object from the queryCache and allow you to return true
or false
for whether you want to refetch that query:
const [mutate] = useMutation(addTodo, {
onSuccess: () => {
queryCache.refetchQueries(
query => query.queryKey[0] === 'todos' && query.queryKey[1]?.version >= 10
)
},
})
mutate(todo)
// The query below will be refetched when the mutation above succeeds
const todoListQuery = useQuery(['todos', { version: 20 }], fetchTodoList)
// The query below will be refetched when the mutation above succeeds
const todoListQuery = useQuery(['todos', { version: 10 }], fetchTodoList)
// However, the following query below will NOT be refetched
const todoListQuery = useQuery(['todos', { version: 5 }], fetchTodoList)
If you prefer that the promise returned from mutate()
only resolves after the onSuccess
callback, you can return a promise in the onSuccess
callback:
const [mutate] = useMutation(addTodo, {
onSuccess: () =>
// return a promise!
queryCache.refetchQueries(
query => query.queryKey[0] === 'todos' && query.queryKey[1]?.version >= 10
),
})
const run = async () => {
try {
await mutate(todo)
console.log('I will only log after onSuccess is done!')
} catch {}
}
If you would like to refetch queries on error or even regardless of a mutation's success or error, you can use the onError
or onSettled
callbacks:
const [mutate] = useMutation(addTodo, {
onError: error => {
// Refetch queries or more...
},
onSettled: (data, error) => {
// Refetch queries or more...
},
})
mutate(todo)
You might find that you want to add on to some of the useMutation
's options at the time of calling mutate
. To do that, you can provide any of the same options to the mutate
function after your mutation variable. Supported option overrides include:
onSuccess
- Will be fired before theuseMutation
-levelonSuccess
handleronError
- Will be fired before theuseMutation
-levelonError
handleronSettled
- Will be fired before theuseMutation
-levelonSettled
handlerthrowOnError
const [mutate] = useMutation(addTodo, {
onSuccess: (data, mutationVariables) => {
// I will fire second
},
onSettled: (data, error, mutationVariables) => {
// I will fire second
},
onError: (error, mutationVariables) => {
// I will fire second
},
})
mutate(todo, {
onSuccess: (data, mutationVariables) => {
// I will fire first!
},
onSettled: (data, error, mutationVariables) => {
// I will fire first!
},
onError: (error, mutationVariables) => {
// I will fire first!
},
throwOnError: true,
})
When dealing with mutations that update objects on the server, it's common for the new object to be automatically returned in the response of the mutation. Instead of refetching any queries for that item and wasting a network call for data we already have, we can take advantage of the object returned by the mutation function and update the existing query with the new data immediately using the Query Cache's setQueryData
method:
const [mutate] = useMutation(editTodo, {
onSuccess: data => queryCache.setQueryData(['todo', { id: 5 }], data),
})
mutate({
id: 5,
name: 'Do the laundry',
})
// The query below will be updated with the response from the
// successful mutation
const { status, data, error } = useQuery(['todo', { id: 5 }], fetchTodoByID)
You might want to tight the onSuccess
logic into a reusable mutation, for that you can
create a custom hook like this:
const useMutateTodo = () => {
return useMutate(editTodo, {
// Notice the second argument is the variables object that the `mutate` function receives
onSuccess: (data, variables) => {
queryCache.setQueryData(['todo', { id: variables.id }], data)
},
})
}
It's sometimes the case that you need to clear the error
or data
of a mutation request. To do this, you can use the reset
function to handle this:
const CreateTodo = () => {
const [title, setTitle] = useState('')
const [mutate, { error, reset }] = useMutation(createTodo)
const onCreateTodo = async e => {
e.preventDefault()
await mutate({ title })
}
return (
<form onSubmit={onCreateTodo}>
{error && <h5 onClick={() => reset()}>{error}</h5>}
<input
type="text"
value={title}
onChange={e => setTitle(e.target.value)}
/>
<br />
<button type="submit">Create Todo</button>
</form>
)
}
In rare circumstances, you may want to manually update a query's response with a custom value. To do this, you can again use the Query Cache's setQueryData
method:
It's important to understand that when you manually or optimistically update a query's data value, the potential that you display out-of-sync data to your users is very high. It's recommended that you only do this if you plan to refetch the query very soon or perform a mutation to "commit" your manual changes (and also roll back your eager update if the refetch or mutation fails).
// Full replacement
queryCache.setQueryData(['todo', { id: 5 }], newTodo)
// or functional update
queryCache.setQueryData(['todo', { id: 5 }], previous => ({
...previous,
type: 'done',
}))
When you optimistically update your state before performing a mutation, there is a non-zero chance that the mutation will fail. In most cases, you can just trigger a refetch for your optimistic queries to revert them to their true server state. In some circumstances though, refetching may not work correctly and the mutation error could represent some type of server issue that won't make it possible to refetch. In this event, you can instead choose to rollback your update.
To do this, useMutation
's onMutate
handler option allows you to return a value that will later be passed to both onError
and onSettled
handlers as the last argument. In most cases, it is most useful to pass a rollback function.
useMutation(updateTodo, {
// When mutate is called:
onMutate: newTodo => {
// Cancel any outgoing refetches (so they don't overwrite our optimistic update)
queryCache.cancelQueries('todos')
// Snapshot the previous value
const previousTodos = queryCache.getQueryData('todos')
// Optimistically update to the new value
queryCache.setQueryData('todos', old => [...old, newTodo])
// Return the snapshotted value
return () => queryCache.setQueryData('todos', previousTodos)
},
// If the mutation fails, use the value returned from onMutate to roll back
onError: (err, newTodo, rollback) => rollback(),
// Always refetch after error or success:
onSettled: () => {
queryCache.refetchQueries('todos')
},
})
useMutation(updateTodo, {
// When mutate is called:
onMutate: newTodo => {
// Cancel any outgoing refetches (so they don't overwrite our optimistic update)
queryCache.cancelQueries(['todos', newTodo.id])
// Snapshot the previous value
const previousTodo = queryCache.getQueryData(['todos', newTodo.id], newTodo)
// Optimistically update to the new value
queryCache.setQueryData(['todos', newTodo.id], newTodo)
// Return a rollback function
return () => queryCache.setQueryData(['todos', newTodo.id], previousTodo)
},
// If the mutation fails, use the rollback function we returned above
onError: (err, newTodo, rollback) => rollback(),
// Always refetch after error or success:
onSettled: () => {
queryCache.refetchQueries(['todos', newTodo.id])
},
})
You can also use the onSettled
function in place of the separate onError
and onSuccess
handlers if you wish:
useMutation(updateTodo, {
// ...
onSettled: (newTodo, error, variables, rollback) => {
if (error) {
rollback()
}
},
})
A query's status === 'loading'
state is sufficient enough to show the initial hard-loading state for a query, but sometimes you may want to display an additional indicator that a query is refetching in the background. To do this, queries also supply you with an isFetching
boolean that you can use to show that it's in a fetching state, regardless of the state of the status
variable:
function Todos() {
const { status, data: todos, error, isFetching } = useQuery(
'todos',
fetchTodos
)
return status === 'loading' ? (
<span>Loading...</span>
) : status === 'error' ? (
<span>Error: {error.message}</span>
) : (
<>
{isFetching ? <div>Refreshing...</div> : null}
<div>
{todos.map(todo => (
<Todo todo={todo} />
))}
</div>
</>
)
}
In addition to individual query loading states, if you would like to show a global loading indicator when any queries are fetching (including in the background), you can use the useIsFetching
hook:
import { useIsFetching } from 'react-query'
function GlobalLoadingIndicator() {
const isFetching = useIsFetching()
return isFetching ? (
<div>Queries are fetching in the background...</div>
) : null
}
If a user leaves your application and returns to stale data, you may want to trigger an update in the background to update any stale queries. Thankfully, React Query does this automatically for you, but if you choose to disable it, you can use the ReactQueryConfigProvider
's refetchAllOnWindowFocus
option to disable it:
const queryConfig = { refetchAllOnWindowFocus: false }
function App() {
return (
<ReactQueryConfigProvider config={queryConfig}>
...
</ReactQueryConfigProvider>
)
}
In rare circumstances, you may want to manage your own window focus events that trigger React Query to revalidate. To do this, React Query provides a setFocusHandler
function that supplies you the callback that should be fired when the window is focused and allows you to set up your own events. When calling setFocusHandler
, the previously set handler is removed (which in most cases will be the default handler) and your new handler is used instead. For example, this is the default handler:
setFocusHandler(handleFocus => {
// Listen to visibillitychange and focus
if (typeof window !== 'undefined' && window.addEventListener) {
window.addEventListener('visibilitychange', handleFocus, false)
window.addEventListener('focus', handleFocus, false)
}
return () => {
// Be sure to unsubscribe if a new handler is set
window.removeEventListener('visibilitychange', handleFocus)
window.removeEventListener('focus', handleFocus)
}
})
A great use-case for replacing the focus handler is that of iframe events. Iframes present problems with detecting window focus by both double-firing events and also firing false-positive events when focusing or using iframes within your app. If you experience this, you should use an event handler that ignores these events as much as possible. I recommend this one! It can be set up in the following way:
import { setFocusHandler } from 'react-query'
import onWindowFocus from './onWindowFocus' // The gist above
setFocusHandler(onWindowFocus) // Boom!
WARNING: This is an advanced and experimental feature. There be dragons here. Do not change the Query Key Serializer unless you know what you are doing and are fine with encountering edge cases in React Query's API
Show Me The Dragons!
If you absolutely despise the default query key implementation, then please file an issue in this repo first. If you still believe you need something different, then you can choose to replace the default query key serializer with your own by using the ReactQueryConfigProvider
hook's queryKeySerializerFn
option:
const queryConfig = {
queryKeySerializerFn: queryKey => {
// Your custom logic here...
// Make sure object keys are sorted and all values are
// serializable
const queryFnArgs = getQueryArgs(queryKey)
// Hash the query key args to get a string
const queryHash = hash(queryFnArgs)
// Return both the queryHash and normalizedQueryHash as a tuple
return [queryHash, queryFnArgs]
},
}
function App() {
return (
<ReactQueryConfigProvider config={queryConfig}>
...
</ReactQueryConfigProvider>
)
}
userQueryKey: any
- This is the queryKey passed in
useQuery
and all other public methods and utilities exported by React Query. - It may be a string or an array of serializable values
- If a string is passed, it must be wrapped in an array when returned as the
queryFnArgs
- This is the queryKey passed in
queryHash: string
- This must be a unique
string
representing the entire query key. - It must be stable and deterministic and should not change if things like the order of variables are changed or shuffled.
- This must be a unique
queryFnArgs: Array<any>
- This array will be spread into the query function arguments and should be the same format as the queryKey but be deterministically stable and should not change structure if the variables of the query stay the same, but change order within array position.
An additional
stableStringify
utility is also exported to help with stringifying objects to have sorted keys.
The example below shows how to build your own serializer for use with URLs and use it with React Query:
import { ReactQueryConfigProvider, stableStringify } from 'react-query'
function urlQueryKeySerializer(queryKey) {
// Deconstruct the url
let [url, params = ''] = queryKey.split('?')
// Remove trailing slashes from the url to make an ID
url = url.replace(/\/{1,}$/, '')
// Build the searchQuery object
params.split('&').filter(Boolean)
// If there are search params, return a different key
if (Object.keys(params).length) {
let searchQuery = {}
params.forEach(param => {
const [key, value] = param.split('=')
searchQuery[key] = value
})
// Use stableStringify to turn searchQuery into a stable string
const searchQueryHash = stableStringify(searchQuery)
// Get the stable json object for the normalized key
searchQuery = JSON.parse(searchQueryHash)
return [`${url}_${searchQueryHash}`, [url, searchQuery]]
}
return [url, [url]]
}
const queryConfig = {
queryKeySerializerFn: urlQueryKeySerializer,
}
function App() {
return (
<ReactQueryConfigProvider config={queryConfig}>
...
</ReactQueryConfigProvider>
)
}
// Heck, you can even make your own custom useQueryHook!
function useUrlQuery(url, options) {
return useQuery(url, (url, params) =>
axios
.get(url, {
params,
})
.then(res => res.data)
)
}
// Use it in your app!
function Todos() {
const todosQuery = useUrlQuery(`/todos`)
}
function FilteredTodos({ status = 'pending' }) {
const todosQuery = useUrlQuery(`/todos?status=pending`)
}
function Todo({ id }) {
const todoQuery = useUrlQuery(`/todos/${id}`)
}
refetchQuery('/todos')
refetchQuery('/todos?status=pending')
refetchQuery('/todos/5')
The example below shows how to you build your own functional serializer and use it with React Query:
import { ReactQueryConfigProvider, stableStringify } from 'react-query'
// A map to keep track of our function pointers
const functionSerializerMap = new Map()
function functionQueryKeySerializer(queryKey) {
if (!queryKey) {
return []
}
let queryFn = queryKey
let variables
if (Array.isArray(queryKey)) {
queryFn = queryKey[0]
variables = queryKey[1]
}
// Get or create an ID for the function pointer
const queryGroupId =
functionSerializerMap.get(queryFn) ||
(() => {
const id = Date.now()
functionSerializerMap.set(queryFn, id)
return id
})()
const variablesIsObject = isObject(variables)
const variablesHash = variablesIsObject ? stableStringify(variables) : ''
const queryHash = `${queryGroupId}_${variablesHash}`
return [queryHash, queryGroupId, variablesHash, variables]
}
const queryConfig = {
queryKeySerializerFn: functionQueryKeySerializer,
}
function App() {
return (
<ReactQueryConfigProvider config={queryConfig}>
...
</ReactQueryConfigProvider>
)
}
// Heck, you can even make your own custom useQueryHook!
function useFunctionQuery(functionTuple, options) {
const [queryFn, variables] = Array.isArray(functionTuple)
? functionTuple
: [functionTuple]
return useQuery(functionTuple, queryFn, options)
}
// Use it in your app!
function Todos() {
const todosQuery = useFunctionQuery(getTodos)
}
function FilteredTodos({ status = 'pending' }) {
const todosQuery = useFunctionQuery([getTodos, { status }])
}
function Todo({ id }) {
const todoQuery = useFunctionQuery([getTodo, { id }])
}
refetchQuery(getTodos)
refetchQuery([getTodos, { type: 'pending' }])
refetchQuery([getTodo, { id: 5 }])
React query has dedicated devtools! Visit the React Query Devtools Github Repo for information on how to install and use them!
To see a demo, check out the Sandbox example!
const {
status,
data,
error,
isFetching,
failureCount,
refetch,
} = useQuery(queryKey, [, queryVariables], queryFn, {
manual,
retry,
retryDelay,
staleTime
cacheTime,
refetchInterval,
refetchIntervalInBackground,
refetchOnWindowFocus,
onSuccess,
onError,
onSettled,
suspense,
initialData,
refetchOnMount,
queryFnParamsFilter
})
// or using the object syntax
const queryInfo = useQuery({
queryKey,
queryFn,
variables,
config
})
queryKey: String | [String, Variables: Object] | falsy | Function => queryKey
- Required
- The query key to use for this query.
- If a string is passed, it will be used as the query key.
- If a
[String, Object]
tuple is passed, they will be serialized into a stable query key. See Query Keys for more information. - If a falsy value is passed, the query will be disabled and not run automatically.
- If a function is passed, it should resolve to any other valid query key type. If the function throws, the query will be disabled and not run automatically.
- The query will automatically update when this key changes (if the key is not falsy and if
manual
is not set totrue
). Variables: Object
- If a tuple with variables is passed, this object should be serializable.
- Nested arrays and objects are supported.
- The order of object keys is sorted to be stable before being serialized into the query key.
queryFn: Function(variables) => Promise(data/error)
- Required
- The function that the query will use to request data.
- Receives the following variables in the order that they are provided:
- Query Key Variables
- Optional Query Variables passed after the key and before the query function
- Must return a promise that will either resolves data or throws an error.
manual: Boolean
- Set this to
true
to disable automatic refetching when the query mounts or changes query keys. - To refetch the query, use the
refetch
method returned from theuseQuery
instance.
- Set this to
retry: Boolean | Int | Function(failureCount, error) => shouldRetry | Boolean
- If
false
, failed queries will not retry by default. - If
true
, failed queries will retry infinitely. - If set to an
Int
, e.g.3
, failed queries will retry until the failed query count meets that number.
- If
retryDelay: Function(retryAttempt: Int) => Int
- This function receives a
retryAttempt
integer and returns the delay to apply before the next attempt in milliseconds. - A function like
attempt => Math.min(attempt > 1 ? 2 ** attempt * 1000 : 1000, 30 * 1000)
applies exponential backoff. - A function like
attempt => attempt * 1000
applies linear backoff.
- This function receives a
staleTime: Int | Infinity
- The time in milliseconds that cache data remains fresh. After a successful cache update, that cache data will become stale after this duration.
- If set to
Infinity
, query will never go stale
cacheTime: Int | Infinity
- The time in milliseconds that unused/inactive cache data remains in memory. When a query's cache becomes unused or inactive, that cache data will be garbage collected after this duration.
- If set to
Infinity
, will disable garbage collection
refetchInterval: false | Integer
- Optional
- If set to a number, all queries will continuously refetch at this frequency in milliseconds
refetchIntervalInBackground: Boolean
- Optional
- If set to
true
, queries that are set to continuously refetch with arefetchInterval
will continue to refetch while their tab/window is in the background
refetchOnWindowFocus: Boolean
- Optional
- Set this to
false
to disable automatic refetching on window focus (useful, whenrefetchAllOnWindowFocus
is set totrue
). - Set this to
true
to enable automatic refetching on window focus (useful, whenrefetchAllOnWindowFocus
is set tofalse
.
onSuccess: Function(data) => data
- Optional
- This function will fire any time the query successfully fetches new data.
onError: Function(err) => void
- Optional
- This function will fire if the query encounters an error and will be passed the error.
onSettled: Function(data, error) => data
- Optional
- This function will fire any time the query is either successfully fetched or errors and be passed either the data or error
suspense: Boolean
- Optional
- Set this to
true
to enable suspense mode. - When
true
,useQuery
will suspend whenstatus === 'loading'
- When
true
,useQuery
will throw runtime errors whenstatus === 'error'
initialData: any | Function() => any
- Optional
- If set, this value will be used as the initial data for the query cache (as long as the query hasn't been created or cached yet)
- If set to a function, the function will be called once during the shared/root query initialization, and be expected to synchronously return the initialData
refetchOnMount: Boolean
- Optional
- Defaults to
true
- If set to
false
, will disable additional instances of a query to trigger background refetches
queryFnParamsFilter: Function(args) => filteredArgs
- Optional
- This function will filter the params that get passed to
queryFn
. - For example, you can filter out the first query key from the params by using
queryFnParamsFilter: args => args.slice(1)
.
status: String
- Will be:
loading
if the query is in an initial loading state. This means there is no cached data and the query is currently fetching, egisFetching === true
)error
if the query attempt resulted in an error. The correspondingerror
property has the error received from the attempted fetchsuccess
if the query has received a response with no errors and is ready to display its data. The correspondingdata
property on the query is the data received from the successful fetch or if the query is inmanual
mode and has not been fetched yetdata
is the firstinitialData
supplied to the query on initialization.
- Will be:
data: Any
- Defaults to
undefined
. - The last successfully resolved data for the query.
- Defaults to
error: null | Error
- Defaults to
null
- The error object for the query, if an error was thrown.
- Defaults to
isFetching: Boolean
- Defaults to
true
so long asmanual
is set tofalse
- Will be
true
if the query is currently fetching, including background fetching.
- Defaults to
failureCount: Integer
- The failure count for the query.
- Incremented every time the query fails.
- Reset to
0
when the query succeeds.
refetch: Function({ force, throwOnError }) => void
- A function to manually refetch the query if it is stale.
- To bypass the stale check, you can pass the
force: true
option and refetch it regardless of it's freshness - If the query errors, the error will only be logged. If you want an error to be thrown, pass the
throwOnError: true
option
const {
status,
resolvedData,
latestData,
error,
isFetching,
failureCount,
refetch,
} = usePaginatedQuery(queryKey, [, queryVariables], queryFn, {
manual,
retry,
retryDelay,
staleTime
cacheTime,
refetchInterval,
refetchIntervalInBackground,
refetchOnWindowFocus,
onSuccess,
onError,
suspense,
initialData,
refetchOnMount
})
queryKey: String | [String, Variables: Object] | falsy | Function => queryKey
- Required
- The query key to use for this query.
- If a string is passed, it will be used as the query key.
- If a
[String, Object]
tuple is passed, they will be serialized into a stable query key. See Query Keys for more information. - If a falsy value is passed, the query will be disabled and not run automatically.
- If a function is passed, it should resolve to any other valid query key type. If the function throws, the query will be disabled and not run automatically.
- The query will automatically update when this key changes (if the key is not falsy and if
manual
is not set totrue
). Variables: Object
- If a tuple with variables is passed, this object should be serializable.
- Nested arrays and objects are supported.
- The order of object keys is sorted to be stable before being serialized into the query key.
queryFn: Function(variables) => Promise(data/error)
- Required
- The function that the query will use to request data.
- Receives the following variables in the order that they are provided:
- Query Key Variables
- Optional Query Variables passed after the key and before the query function
- Must return a promise that will either resolves data or throws an error.
manual: Boolean
- Set this to
true
to disable automatic refetching when the query mounts or changes query keys. - To refetch the query, use the
refetch
method returned from theuseQuery
instance.
- Set this to
retry: Boolean | Int | Function(failureCount, error) => shouldRetry | Boolean
- If
false
, failed queries will not retry by default. - If
true
, failed queries will retry infinitely. - If set to an
Int
, e.g.3
, failed queries will retry until the failed query count meets that number.
- If
retryDelay: Function(retryAttempt: Int) => Int
- This function receives a
retryAttempt
integer and returns the delay to apply before the next attempt in milliseconds. - A function like
attempt => Math.min(attempt > 1 ? 2 ** attempt * 1000 : 1000, 30 * 1000)
applies exponential backoff. - A function like
attempt => attempt * 1000
applies linear backoff.
- This function receives a
staleTime: Int | Infinity
- The time in milliseconds that cache data remains fresh. After a successful cache update, that cache data will become stale after this duration.
- If set to
Infinity
, query will never go stale
cacheTime: Int | Infinity
- The time in milliseconds that unused/inactive cache data remains in memory. When a query's cache becomes unused or inactive, that cache data will be garbage collected after this duration.
- If set to
Infinity
, will disable garbage collection
refetchInterval: false | Integer
- Optional
- If set to a number, all queries will continuously refetch at this frequency in milliseconds
refetchIntervalInBackground: Boolean
- Optional
- If set to
true
, queries that are set to continuously refetch with arefetchInterval
will continue to refetch while their tab/window is in the background
refetchOnWindowFocus: Boolean
- Optional
- Set this to
false
to disable automatic refetching on window focus (useful, whenrefetchAllOnWindowFocus
is set totrue
). - Set this to
true
to enable automatic refetching on window focus (useful, whenrefetchAllOnWindowFocus
is set tofalse
.
onSuccess: Function(data) => data
- Optional
- This function will fire any time the query successfully fetches new data and will be passed the new data as a parameter
onError: Function(error) => void
- Optional
- This function will fire if the query encounters an error and will be passed the error.
onSettled: Function(data, error) => data
- Optional
- This function will fire any time the query is either successfully fetched or errors and be passed either the data or error
suspense: Boolean
- Optional
- Set this to
true
to enable suspense mode. - When
true
,useQuery
will suspend whenstatus === 'loading'
- When
true
,useQuery
will throw runtime errors whenstatus === 'error'
initialData: any
- Optional
- If set, this value will be used as the initial data for the query cache (as long as the query hasn't been created or cached yet)
refetchOnMount: Boolean
- Optional
- Defaults to
true
- If set to
false
, will disable additional instances of a query to trigger background refetches
status: String
- Will be:
loading
if the query is in an initial loading state. This means there is no cached data and the query is currently fetching, egisFetching === true
)error
if the query attempt resulted in an error. The correspondingerror
property has the error received from the attempted fetchsuccess
if the query has received a response with no errors and is ready to display its data. The correspondingdata
property on the query is the data received from the successful fetch or if the query is inmanual
mode and has not been fetched yetdata
is the firstinitialData
supplied to the query on initialization.
- Will be:
resolvedData: Any
- Defaults to
undefined
. - The last successfully resolved data for the query.
- When fetching based on a new query key, the value will resolve to the last known successful value, regardless of query key
- Defaults to
latestData: Any
- Defaults to
undefined
. - The actual data object for this query and its specific query key
- When fetching an uncached query, this value will be
undefined
- Defaults to
error: null | Error
- Defaults to
null
- The error object for the query, if an error was thrown.
- Defaults to
isFetching: Boolean
- Defaults to
true
so long asmanual
is set tofalse
- Will be
true
if the query is currently fetching, including background fetching.
- Defaults to
failureCount: Integer
- The failure count for the query.
- Incremented every time the query fails.
- Reset to
0
when the query succeeds.
refetch: Function({ force, throwOnError }) => void
- A function to manually refetch the query if it is stale.
- To bypass the stale check, you can pass the
force: true
option and refetch it regardless of it's freshness - If the query errors, the error will only be logged. If you want an error to be thrown, pass the
throwOnError: true
option
const queryFn = (...queryKey, fetchMoreVariable) => Promise
const {
status,
data,
error,
isFetching,
failureCount,
refetch,
fetchMore,
canFetchMore,
} = useInfiniteQuery(queryKey, [, queryVariables], queryFn, {
getFetchMore: (lastPage, allPages) => fetchMoreVariable
manual,
retry,
retryDelay,
staleTime
cacheTime,
refetchInterval,
refetchIntervalInBackground,
refetchOnWindowFocus,
onSuccess,
onError,
suspense,
initialData,
refetchOnMount
})
queryKey: String | [String, Variables: Object] | falsy | Function => queryKey
- Required
- The query key to use for this query.
- If a string is passed, it will be used as the query key.
- If a
[String, Object]
tuple is passed, they will be serialized into a stable query key. See Query Keys for more information. - If a falsy value is passed, the query will be disabled and not run automatically.
- If a function is passed, it should resolve to any other valid query key type. If the function throws, the query will be disabled and not run automatically.
- The query will automatically update when this key changes (if the key is not falsy and if
manual
is not set totrue
). Variables: Object
- If a tuple with variables is passed, this object should be serializable.
- Nested arrays and objects are supported.
- The order of object keys is sorted to be stable before being serialized into the query key.
queryFn: Function(variables) => Promise(data/error)
- Required
- The function that the query will use to request data.
- Receives the following variables in the order that they are provided:
- Query Key Variables
- Optional Query Variables passed after the key and before the query function
- Optionally, the single variable returned from the
getFetchMore
function, used to fetch the next page
- Must return a promise that will either resolves data or throws an error.
getFetchMore: Function(lastPage, allPages) => fetchMoreVariable | Boolean
- When new data is received for this query, this function receives both the last page of the infinite list of data and the full array of all pages.
- It should return a single variable that will be passed as the last optional parameter to your query function
manual: Boolean
- Set this to
true
to disable automatic refetching when the query mounts or changes query keys. - To refetch the query, use the
refetch
method returned from theuseQuery
instance.
- Set this to
retry: Boolean | Int | Function(failureCount, error) => shouldRetry | Boolean
- If
false
, failed queries will not retry by default. - If
true
, failed queries will retry infinitely. - If set to an
Int
, e.g.3
, failed queries will retry until the failed query count meets that number.
- If
retryDelay: Function(retryAttempt: Int) => Int
- This function receives a
retryAttempt
integer and returns the delay to apply before the next attempt in milliseconds. - A function like
attempt => Math.min(attempt > 1 ? 2 ** attempt * 1000 : 1000, 30 * 1000)
applies exponential backoff. - A function like
attempt => attempt * 1000
applies linear backoff.
- This function receives a
staleTime: Int | Infinity
- The time in milliseconds that cache data remains fresh. After a successful cache update, that cache data will become stale after this duration.
- If set to
Infinity
, query will never go stale
cacheTime: Int | Infinity
- The time in milliseconds that unused/inactive cache data remains in memory. When a query's cache becomes unused or inactive, that cache data will be garbage collected after this duration.
- If set to
Infinity
, will disable garbage collection
refetchInterval: false | Integer
- Optional
- If set to a number, all queries will continuously refetch at this frequency in milliseconds
refetchIntervalInBackground: Boolean
- Optional
- If set to
true
, queries that are set to continuously refetch with arefetchInterval
will continue to refetch while their tab/window is in the background
refetchOnWindowFocus: Boolean
- Optional
- Set this to
false
to disable automatic refetching on window focus (useful, whenrefetchAllOnWindowFocus
is set totrue
). - Set this to
true
to enable automatic refetching on window focus (useful, whenrefetchAllOnWindowFocus
is set tofalse
.
onSuccess: Function(data) => data
- Optional
- This function will fire any time the query successfully fetches new data.
onError: Function(err) => void
- Optional
- This function will fire if the query encounters an error and will be passed the error.
onSettled: Function(data, error) => data
- Optional
- This function will fire any time the query is either successfully fetched or errors and be passed either the data or error
suspense: Boolean
- Optional
- Set this to
true
to enable suspense mode. - When
true
,useQuery
will suspend whenstatus === 'loading'
- When
true
,useQuery
will throw runtime errors whenstatus === 'error'
initialData: any
- Optional
- If set, this value will be used as the initial data for the query cache (as long as the query hasn't been created or cached yet)
refetchOnMount: Boolean
- Optional
- Defaults to
true
- If set to
false
, will disable additional instances of a query to trigger background refetches
status: String
- Will be:
loading
if the query is in an initial loading state. This means there is no cached data and the query is currently fetching, egisFetching === true
)error
if the query attempt resulted in an error. The correspondingerror
property has the error received from the attempted fetchsuccess
if the query has received a response with no errors and is ready to display its data. The correspondingdata
property on the query is the data received from the successful fetch or if the query is inmanual
mode and has not been fetched yetdata
is the firstinitialData
supplied to the query on initialization.
- Will be:
data: Any
- Defaults to
[]
. - This array contains each "page" of data that has been requested
- Defaults to
error: null | Error
- Defaults to
null
- The error object for the query, if an error was thrown.
- Defaults to
isFetching: Boolean
- Defaults to
true
so long asmanual
is set tofalse
- Will be
true
if the query is currently fetching, including background fetching.
- Defaults to
isFetchingMore: Boolean
- If using
paginated
mode, this will betrue
when fetching more results using thefetchMore
function.
- If using
failureCount: Integer
- The failure count for the query.
- Incremented every time the query fails.
- Reset to
0
when the query succeeds.
refetch: Function({ force, throwOnError }) => void
- A function to manually refetch the query if it is stale.
- To bypass the stale check, you can pass the
force: true
option and refetch it regardless of it's freshness - If the query errors, the error will only be logged. If you want an error to be thrown, pass the
throwOnError: true
option
fetchMore: Function(fetchMoreVariableOverride) => Promise
- This function allows you to fetch the next "page" of results.
fetchMoreVariableOverride
allows you to optionally override the fetch more variable returned from yourgetCanFetchMore
option to your query function to retrieve the next page of results.
canFetchMore: Boolean
- If using
paginated
mode, this will betrue
if there is more data to be fetched (known via the requiredgetFetchMore
option function).
- If using
const [mutate, { status, data, error, reset }] = useMutation(mutationFn, {
onMutate
onSuccess,
onError,
onSettled,
throwOnError,
useErrorBoundary,
{ ...selectedUseQueryOptions },
})
const promise = mutate(variables, {
onSuccess,
onSettled,
onError,
throwOnError,
})
mutationFn: Function(variables) => Promise
- Required
- A function that performs an asynchronous task and returns a promise.
variables
is an object thatmutate
will pass to yourmutationFn
onMutate: Function(variables) => Promise | snapshotValue
- Optional
- This function will fire before the mutation function is fired and is passed the same variables the mutation function would receive
- Useful to perform optimistic updates to a resource in hopes that the mutation succeeds
- The value returned from this function will be passed to both the
onError
andonSettled
functions and can be useful for rolling back optimistic updates in the event of a mutation failure.
onSuccess: Function(data, variables) => Promise | undefined
- Optional
- This function will fire when the mutation is successful and will be passed the mutation's result.
- Fires after the
mutate
-levelonSuccess
handler (if it is defined) - If a promise is returned, it will be awaited and resolved before proceeding
onError: Function(err, variables, onMutateValue) => Promise | undefined
- Optional
- This function will fire if the mutation encounters an error and will be passed the error.
- Fires after the
mutate
-levelonError
handerl (if it is defined) - If a promise is returned, it will be awaited and resolved before proceeding
onSettled: Function(data, error, variables, onMutateValue) => Promise | undefined
- Optional
- This function will fire when the mutation is either successfully fetched or encounters an error and be passed either the data or error
- Fires after the
mutate
-levelonSettled
handerl (if it is defined) - If a promise is returned, it will be awaited and resolved before proceeding
throwOnError
- Defaults to
false
- Set this to
true
if failed mutations should re-throw errors from the mutation function to themutate
function.
- Defaults to
useErrorBoundary
- Defaults to the global query config's
useErrorBoundary
value, which isfalse
- Set this to true if you want mutation errors to be thrown in the render phase and propagate to the nearest error boundary
- Defaults to the global query config's
selectedUseQueryOptions
- Selected options of
useQuery
are also applicable here. E.g.retry
andretryDelay
can be used as described in theuseQuery
section. Documentation of these options will be improved in the future.
- Selected options of
mutate: Function(variables, { onSuccess, onSettled, onError, throwOnError }) => Promise
- The mutation function you can call with variables to trigger the mutation and optionally override the original mutation options.
variables: any
- Optional
- The variables object to pass to the
mutationFn
.
- Remaining options extend the same options described above in the
useMutation
hook. - Lifecycle callbacks defined here will fire before those of the same type defined in the
useMutation
-level options.
status: String
- Will be:
idle
initial status prior to the mutation function executing.loading
if the mutation is currently executing.error
if the last mutation attempt resulted in an error.success
if the last mutation attempt was successful.
- Will be:
data: undefined | Any
- Defaults to
undefined
- The last successfully resolved data for the query.
- Defaults to
error: null | Error
- The error object for the query, if an error was encountered.
promise: Promise
- The promise that is returned by the
mutationFn
.
- The promise that is returned by the
The queryCache
instance is the backbone of React Query that manages all of the state, caching, lifecycle and magic of every query. It supports relatively unrestricted, but safe, access to manipulate query's as you need. Its available properties and methods are:
prefetchQuery
getQueryData
setQueryData
refetchQueries
cancelQueries
removeQueries
getQueries
getQuery
subscribe
isFetching
clear
prefetchQuery
is an asynchronous function that can be used to fetch and cache a query response before it is needed or fetched with useQuery
.
- If the query already exists and is fresh (not stale), the call will resolve immediately and no action will be taken.
- If you want to force the query to prefetch again, you can pass the
force: true
option in the query config
- If you want to force the query to prefetch again, you can pass the
- If the query does not exist, it will be created and immediately be marked as stale. If this created query is not utilized by a query hook in the
cacheTime
(defaults to 5 minutes), the query will be garbage collected.
The difference between using
prefetchQuery
andsetQueryData
is thatprefetchQuery
is async and will ensure that duplicate requests for this query are not created withuseQuery
instances for the same query are rendered while the data is fetching.
import { queryCache } from 'react-query'
const data = await queryCache.prefetchQuery(queryKey, queryFn)
For convenience in syntax, you can also pass optional query variables to prefetchQuery
just like you can useQuery
:
import { queryCache } from 'react-query'
const data = await queryCache.prefetchQuery(
queryKey,
queryVariables,
queryFn,
config
)
The options for prefetchQuery
are exactly the same as those of useQuery
with the exception of:
config.throwOnError: Boolean
- Set this
true
if you wantprefetchQuery
to throw an error when it encounters errors.
- Set this
promise: Promise
- A promise is returned that will either immediately resolve with the query's cached response data, or resolve to the data returned by the fetch function. It will not throw an error if the fetch fails. This can be configured by setting the
throwOnError
option totrue
.
- A promise is returned that will either immediately resolve with the query's cached response data, or resolve to the data returned by the fetch function. It will not throw an error if the fetch fails. This can be configured by setting the
getQueryData
is a synchronous function that can be used to get an existing query's cached data. If the query does not exist, undefined
will be returned.
import { queryCache } from 'react-query'
const data = queryCache.getQueryData(queryKey)
queryKey: QueryKey
- See Query Keys for more information on how to construct and use a query key
data: any | undefined
- The data for the cached query, or
undefined
if the query does not exist.
- The data for the cached query, or
setQueryData
is a synchronous function that can be used to immediately update a query's cached data. If the query does not exist, it will be created and immediately be marked as stale. If the query is not utilized by a query hook in the default cacheTime
of 5 minutes, the query will be garbage collected.
The difference between using
setQueryData
andprefetchQuery
is thatsetQueryData
is sync and assumes that you already synchronously have the data available. If you need to fetch the data asynchronously, it's suggested that you either refetch the query key or useprefetchQuery
to handle the asynchronous fetch.
import { queryCache } from 'react-query'
queryCache.setQueryData(queryKey, updater)
queryKey: QueryKey
- See Query Keys for more information on how to construct and use a query key
updater: Any | Function(oldData) => newData
- If non-function is passed, the data will be updated to this value
- If a function is passed, it will receive the old data value and be expected to return a new one.
setQueryData(queryKey, newData)
For convenience in syntax, you can also pass an updater function which receives the current data value and returns the new one:
setQueryData(queryKey, oldData => newData)
The refetchQueries
method can be used to refetch single or multiple queries in the cache based on their query keys or any other functionally accessible property/state of the query. By default, queries that are fresh (not stale) will not be refetched, but you can override this by passing the force: true
option.
import { queryCache } from 'react-query'
const queries = queryCache.refetchQueries(inclusiveQueryKeyOrPredicateFn, {
exact,
throwOnError,
force,
})
queryKeyOrPredicateFn
can either be a Query Key or afunction
queryKey: QueryKey
- If a query key is passed, queries will be filtered to those where this query key is included in the existing query's query key. This means that if you passed a query key of
'todos'
, it would match queries with thetodos
,['todos']
, and['todos', 5]
. See Query Keys for more information.
- If a query key is passed, queries will be filtered to those where this query key is included in the existing query's query key. This means that if you passed a query key of
Function(query) => Boolean
- This predicate function will be called for every single query in the cache and be expected to return truthy for queries that are
found
. - The
exact
option has no effect with using a function
- This predicate function will be called for every single query in the cache and be expected to return truthy for queries that are
exact: Boolean
- If you don't want to search queries inclusively by query key, you can pass the
exact: true
option to return only the query with the exact query key you have passed. Remember to destructure it out of the array!
- If you don't want to search queries inclusively by query key, you can pass the
throwOnError: Boolean
- When set to
true
, this function will throw if any of the query refetch tasks fail.
- When set to
force: Boolean
- When set to
true
, queries that match the refetch predicate will be refetched regardless if they are stale.
- When set to
This function returns a promise that will resolve when all of the queries are done being refetched. By default, it will not throw an error if any of those queries refetches fail, but this can be configured by setting the throwOnError
option to true
The cancelQueries
method can be used to cancel outgoing queries based on their query keys or any other functionally accessible property/state of the query.
This is most useful when performing optimistic updates since you will likely need to cancel any outgoing query refetches so they don't clobber your optimistic update when they resolve.
import { queryCache } from 'react-query'
const queries = queryCache.cancelQueries(queryKeyOrPredicateFn, {
exact,
})
queryKeyOrPredicateFn
can either be a Query Key or afunction
queryKey
- If a query key is passed, queries will be filtered to those where this query key is included in the existing query's query key. This means that if you passed a query key of
'todos'
, it would match queries with thetodos
,['todos']
, and['todos', 5]
. See Query Keys for more information.
- If a query key is passed, queries will be filtered to those where this query key is included in the existing query's query key. This means that if you passed a query key of
Function(query) => Boolean
- This predicate function will be called for every single query in the cache and be expected to return truthy for queries that are
found
. - The
exact
option has no effect with using a function
- This predicate function will be called for every single query in the cache and be expected to return truthy for queries that are
exact: Boolean
- If you don't want to search queries inclusively by query key, you can pass the
exact: true
option to return only the query with the exact query key you have passed. Remember to destructure it out of the array!
- If you don't want to search queries inclusively by query key, you can pass the
This function does not return anything
The removeQueries
method can be used to remove queries from the cache based on their query keys or any other functionally accessible property/state of the query.
import { queryCache } from 'react-query'
const queries = queryCache.removeQueries(queryKeyOrPredicateFn, {
exact,
})
queryKeyOrPredicateFn
can either be a Query Key or afunction
queryKey
- If a query key is passed, queries will be filtered to those where this query key is included in the existing query's query key. This means that if you passed a query key of
'todos'
, it would match queries with thetodos
,['todos']
, and['todos', 5]
. See Query Keys for more information.
- If a query key is passed, queries will be filtered to those where this query key is included in the existing query's query key. This means that if you passed a query key of
Function(query) => Boolean
- This predicate function will be called for every single query in the cache and be expected to return truthy for queries that are
found
. - The
exact
option has no effect with using a function
- This predicate function will be called for every single query in the cache and be expected to return truthy for queries that are
exact: Boolean
- If you don't want to search queries inclusively by query key, you can pass the
exact: true
option to return only the query with the exact query key you have passed. Remember to destructure it out of the array!
- If you don't want to search queries inclusively by query key, you can pass the
This function does not return anything
getQuery
is a slightly more advanced synchronous function that can be used to get an existing query object from the cache. This object not only contains all the state for the query, but all of the instances, and underlying guts of the query as well. If the query does not exist, undefined
will be returned.
Note: This is not typically needed for most applications, but can come in handy when needing more information about a query in rare scenarios (eg. Looking at the query.state.updatedAt timestamp to decide whether a query is fresh enough to be used as an initial value)
import { queryCache } from 'react-query'
const query = queryCache.getQuery(queryKey)
queryKey: QueryKey
- See Query Keys for more information on how to construct and use a query key
query: QueryObject
- The query object from the cache
getQueries
is even more advanced synchronous function that can be used to get existing query objects from the cache that partially match query key. If queries do not exist, empty array will be returned.
Note: This is not typically needed for most applications, but can come in handy when needing more information about a query in rare scenarios
import { queryCache } from 'react-query'
const queries = queryCache.getQueries(queryKey)
queryKey: QueryKey
- See Query Keys for more information on how to construct and use a query key
queries: QueryObject[]
- Query objects from the cache
This isFetching
property is an integer
representing how many queries, if any, in the cache are currently fetching (including background-fetching, loading new pages, or loading more infinite query results)
import { queryCache } from 'react-query'
if (queryCache.isFetching) {
console.log('At least one query is fetching!')
}
React Query also exports a handy useIsFetching
hook that will let you subscribe to this state in your components without creating a manual subscription to the query cache.
The subscribe
method can be used to subscribe to the query cache as a whole and be informed of safe/known updates to the cache like query states changing or queries being updated, added or removed
import { queryCache } from 'react-query'
const callback = cache => {}
const unsubscribe = queryCache.subscribe(callback)
callback: Function(queryCache) => void
- This function will be called with the query cache any time it is updated via its tracked update mechanisms (eg,
query.setState
,queryCache.removeQueries
, etc). Out of scope mutations to the queryCache are not encouraged and will not fire subscription callbacks
- This function will be called with the query cache any time it is updated via its tracked update mechanisms (eg,
unsubscribe: Function => void
- This function will unsubscribe the callback from the query cache.
The clear
method can be used to clear the queryCache entirely and start fresh.
import { queryCache } from 'react-query'
queryCache.clear()
queries: Array<Query>
- This will be an array containing the queries that were found.
The useQueryCache
hook returns the current queryCache instance.
import { useQueryCache } from 'react-query'
const queryCache = useQueryCache()
If you are using the ReactQueryCacheProvider
to set a custom cache, you cannot simply import { queryCache }
any more. This hook will ensure you're getting the correct instance.
useIsFetching
is an optional hook that returns the number
of the queries that your application is loading or fetching in the background (useful for app-wide loading indicators).
import { useIsFetching } from 'react-query'
const isFetching = useIsFetching()
isFetching: Int
- Will be the
number
of the queries that your application is currently loading or fetching in the background.
- Will be the
ReactQueryConfigProvider
is an optional provider component and can be used to define defaults for all instances of useQuery
within it's sub-tree:
import { ReactQueryConfigProvider } from 'react-query'
const queryConfig = {
// Global
suspense: false,
useErrorBoundary: undefined, // Defaults to the value of `suspense` if not defined otherwise
throwOnError: false,
refetchAllOnWindowFocus: true,
queryKeySerializerFn: queryKey => [queryHash, queryFnArgs],
onMutate: () => {},
onSuccess: () => {},
onError: () => {},
onSettled: () => {},
// useQuery
retry: 3,
retryDelay: attemptIndex => Math.min(1000 * 2 ** attemptIndex, 30000),
staleTime: 0,
cacheTime: 5 * 60 * 1000,
refetchInterval: false,
queryFnParamsFilter: args => filteredArgs,
refetchOnMount: true,
isDataEqual: (previous, next) => true, // or false
}
function App() {
return (
<ReactQueryConfigProvider config={queryConfig}>
...
</ReactQueryConfigProvider>
)
}
config: Object
- Must be stable or memoized. Do not create an inline object!
- For non-global properties please see their usage in both the
useQuery
hook and theuseMutation
hook.
ReactQueryCacheProvider
is an optional provider component for explicitly setting the query cache used by React Query. This is useful for creating component-level caches that are not completely global, as well as making truly isolated unit tests.
import { ReactQueryCacheProvider, makeQueryCache } from 'react-query'
const queryCache = makeQueryCache()
function App() {
return (
<ReactQueryCacheProvider queryCache={queryCache}>
...
</ReactQueryCacheProvider>
)
}
queryCache: Object
- In instance of queryCache, you can use the
makeQueryCache
factory to create this. - If not provided, a new cache will be generated.
- In instance of queryCache, you can use the
setConsole
is an optional utility function that allows you to replace the console
interface used to log errors. By default, the window.console
object is used. If no global console
object is found in the environment, nothing will be logged.
import { setConsole } from 'react-query'
import { printLog, printWarn, printError } from 'custom-logger'
setConsole({
log: printLog,
warn: printWarn,
error: printError,
})
console: Object
- Must implement the
log
,warn
, anderror
methods.
- Must implement the
Thanks goes to these wonderful people (emoji key):
Tanner Linsley 💻 🤔 💡 🚧 👀 |
Andrew Cherniavskii 💻 🐛 |
Thibaut Tiberghien 📖 |
Rohit Garg 🔧 |
This project follows the all-contributors specification. Contributions of any kind welcome!