Framework
Version
Menu
Getting Started
Guides & Concepts
Community Resources
API Reference
ESLint
Plugins
Examples

Infinite Queries

Rendering lists that can additively "load more" data onto an existing set of data or "infinite scroll" is also a very common UI pattern. TanStack 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 object containing infinite query data:
  • data.pages array containing the fetched pages
  • data.pageParams array containing the page params used to fetch the pages
  • The fetchNextPage and fetchPreviousPage functions are now available
  • The getNextPageParam and getPreviousPageParam options are 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 the fetchNextPage or fetchPreviousPage functions)
  • A hasNextPage boolean is now available and is true if getNextPageParam returns a value other than undefined
  • A hasPreviousPage boolean is now available and is true if getPreviousPageParam returns a value other than undefined
  • The isFetchingNextPage and isFetchingPreviousPage booleans are now available to distinguish between a background refresh state and a loading more state

Note: When using options like initialData or select in your query, make sure that when you restructure your data that it still includes data.pages and data.pageParams properties, otherwise your changes will be overwritten by the query in its return!

Example

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:

tsx
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 getNextPageParam
  • Calling fetchNextPage function

Note: It's very important you do not call fetchNextPage with arguments unless you want them to override the pageParam data returned from the getNextPageParam function. e.g. Do not do this: <button onClick={fetchNextPage} /> as this would send the onClick event to the fetchNextPage function.

tsx
import { useInfiniteQuery } from '@tanstack/react-query'
function Projects() {
const fetchProjects = async ({ pageParam = 0 }) => {
const res = await fetch('/api/projects?cursor=' + pageParam)
return res.json()
}
const {
data,
error,
fetchNextPage,
hasNextPage,
isFetching,
isFetchingNextPage,
status,
} = useInfiniteQuery({
queryKey: ['projects'],
queryFn: fetchProjects,
getNextPageParam: (lastPage, pages) => lastPage.nextCursor,
})
return status === 'loading' ? (
<p>Loading...</p>
) : status === 'error' ? (
<p>Error: {error.message}</p>
) : (
<>
{data.pages.map((group, i) => (
<React.Fragment key={i}>
{group.data.map((project) => (
<p key={project.id}>{project.name}</p>
))}
</React.Fragment>
))}
<div>
<button
onClick={() => fetchNextPage()}
disabled={!hasNextPage || isFetchingNextPage}
>
{isFetchingNextPage
? 'Loading more...'
: hasNextPage
? 'Load More'
: 'Nothing more to load'}
</button>
</div>
<div>{isFetching && !isFetchingNextPage ? 'Fetching...' : null}</div>
</>
)
}

It's essential to understand that calling fetchNextPage while an ongoing fetch is in progress runs the risk of overwriting data refreshes happening in the background. This situation becomes particularly critical when rendering a list and triggering fetchNextPage simultaneously.

Remember, there can only be a single ongoing fetch for an InfiniteQuery. A single cache entry is shared for all pages, attempting to fetch twice simultaneously might lead to data overwrites.

If you intend to enable simultaneous fetching, you can utilize the { cancelRefetch: false } option (default: true) within fetchNextPage.

To ensure a seamless querying process without conflicts, it's highly recommended to verify that the query is not in an isFetching state, especially if the user won't directly control that call.

jsx
<List onEndReached={() => !isFetching && fetchNextPage()} />

What happens when an infinite query needs to be refetched?

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 queryCache, the pagination restarts at the initial state with only the initial group being requested.

refetchPage

If you only want to actively refetch a subset of all pages, you can pass the refetchPage function to refetch returned from useInfiniteQuery.

tsx
const { refetch } = useInfiniteQuery({
queryKey: ['projects'],
queryFn: fetchProjects,
getNextPageParam: (lastPage, pages) => lastPage.nextCursor,
})
// only refetch the first page
refetch({ refetchPage: (page, index) => index === 0 })

You can also pass this function as part of the 2nd argument (queryFilters) to queryClient.refetchQueries, queryClient.invalidateQueries or queryClient.resetQueries.

Signature

  • refetchPage: (page: TData, index: number, allPages: TData[]) => boolean

The function is executed for each page, and only pages where this function returns true will be refetched.

What if I need to pass custom information to my query function?

By default, the variable returned from getNextPageParam will be supplied to the query function, but in some cases, you may want to override this. You can pass custom variables to the fetchNextPage function which will override the default variable like so:

tsx
function Projects() {
const fetchProjects = ({ pageParam = 0 }) =>
fetch('/api/projects?cursor=' + pageParam)
const {
status,
data,
isFetching,
isFetchingNextPage,
fetchNextPage,
hasNextPage,
} = useInfiniteQuery({
queryKey: ['projects'],
queryFn: fetchProjects,
getNextPageParam: (lastPage, pages) => lastPage.nextCursor,
})
// Pass your own page param
const skipToCursor50 = () => fetchNextPage({ pageParam: 50 })
}

What if I want to implement a bi-directional infinite list?

Bi-directional lists can be implemented by using the getPreviousPageParam, fetchPreviousPage, hasPreviousPage and isFetchingPreviousPage properties and functions.

tsx
useInfiniteQuery({
queryKey: ['projects'],
queryFn: fetchProjects,
getNextPageParam: (lastPage, pages) => lastPage.nextCursor,
getPreviousPageParam: (firstPage, pages) => firstPage.prevCursor,
})

What if I want to show the pages in reversed order?

Sometimes you may want to show the pages in reversed order. If this is case, you can use the select option:

tsx
useInfiniteQuery({
queryKey: ['projects'],
queryFn: fetchProjects,
select: (data) => ({
pages: [...data.pages].reverse(),
pageParams: [...data.pageParams].reverse(),
}),
})

What if I want to manually update the infinite query?

Manually removing first page:

tsx
queryClient.setQueryData(['projects'], (data) => ({
pages: data.pages.slice(1),
pageParams: data.pageParams.slice(1),
}))

Manually removing a single value from an individual page:

tsx
const newPagesArray =
oldPagesArray?.pages.map((page) =>
page.filter((val) => val.id !== updatedId),
) ?? []
queryClient.setQueryData(['projects'], (data) => ({
pages: newPagesArray,
pageParams: data.pageParams,
}))

Keep only the first page:

tsx
queryClient.setQueryData(['projects'], (data) => ({
pages: data.pages.slice(0, 1),
pageParams: data.pageParams.slice(0, 1),
}))

Make sure to always keep the same data structure of pages and pageParams!

Want to Skip the Docs?
Query.gg - The Official React Query Course
“This course is the best way to learn how to use React Query in real-world applications.”—Tanner Linsley
Check it out
scarf analytics