This utility comes as a separate package and is available under the '@tanstack/query-persist-client-core'
import.
npm install @tanstack/query-persist-client-core
or
pnpm add @tanstack/query-persist-client-core
or
yarn add @tanstack/query-persist-client-core
or
bun add @tanstack/query-persist-client-core
Note: This util is also included in the
@tanstack/react-query-persist-client
package, so you do not need to install it separately if you are using that package.
experimental_createPersister
functionexperimental_createPersister
storage
to it that adheres to the AsyncStorage
or Storage
interface - the example below uses the async-storage from React Native.persister
as an option to your Query. This can be done either by passing it to the defaultOptions
of the QueryClient
or to any useQuery
hook instance.
persister
as defaultOptions
, all queries will be persisted to the provided storage
. You can additionally narrow this down by passing filters
. In contrast to the persistClient
plugin, this will not persist the whole query client as a single item, but each query separately. As a key, the query hash is used.persister
to a single useQuery
hook, only this Query will be persisted.This way, you do not need to store whole QueryClient
, but choose what is worth to be persisted in your application. Each query is lazily restored (when the Query is first used) and persisted (after each run of the queryFn
), so it does not need to be throttled. staleTime
is also respected after restoring the Query, so if data is considered stale
, it will be refetched immediately after restoring. If data is fresh
, the queryFn
will not run.
Garbage collecting a Query from memory does not affect the persisted data. That means Queries can be kept in memory for a shorter period of time to be more memory efficient. If they are used the next time, they will just be restored from the persistent storage again.
import AsyncStorage from '@react-native-async-storage/async-storage'import { QueryClient } from '@tanstack/react-query'import { experimental_createPersister } from '@tanstack/query-persist-client-core'
const queryClient = new QueryClient({ defaultOptions: { queries: { gcTime: 1000 * 30, // 30 seconds persister: experimental_createPersister({ storage: AsyncStorage, maxAge: 1000 * 60 * 60 * 12, // 12 hours }), }, },})
The createPersister
plugin technically wraps the queryFn
, so it doesn't restore if the queryFn
doesn't run. In that way, it acts as a caching layer between the Query and the network. Thus, the networkMode
defaults to 'offlineFirst'
when a persister is used, so that restoring from the persistent storage can also happen even if there is no network connection.
experimental_createPersister
experimental_createPersister(options: StoragePersisterOptions)
Options
export interface StoragePersisterOptions { /** The storage client used for setting and retrieving items from cache. * For SSR pass in `undefined`. */ storage: AsyncStorage | Storage | undefined | null /** * How to serialize the data to storage. * @default `JSON.stringify` */ serialize?: (persistedQuery: PersistedQuery) => string /** * How to deserialize the data from storage. * @default `JSON.parse` */ deserialize?: (cachedString: string) => PersistedQuery /** * A unique string that can be used to forcefully invalidate existing caches, * if they do not share the same buster string */ buster?: string /** * The max-allowed age of the cache in milliseconds. * If a persisted cache is found that is older than this * time, it will be discarded * @default 24 hours */ maxAge?: number /** * Prefix to be used for storage key. * Storage key is a combination of prefix and query hash in a form of `prefix-queryHash`. */ prefix?: string /** * Filters to narrow down which Queries should be persisted. */ filters?: QueryFilters}
interface AsyncStorage { getItem: (key: string) => Promise<string | undefined | null> setItem: (key: string, value: string) => Promise<unknown> removeItem: (key: string) => Promise<void>}
The default options are:
{ prefix = 'tanstack-query', maxAge = 1000 * 60 * 60 * 24, serialize = JSON.stringify, deserialize = JSON.parse,}
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