apollo-link-state | Apollo Link

February 01, 2018 0 Comments

apollo-link-state | Apollo Link



Read the announcement post!
| Video tutorial by Sara Vieira |
apollo-link-state on GitHub

Managing remote data from an external API is simple with Apollo Client, but where do we put all of our data that doesn’t fit in that category? Nearly all apps need some way to centralize client-side data from user interactions and device APIs.

In the past, Apollo users stored their application’s local data in a separate Redux or MobX store. With apollo-link-state, you no longer have to maintain a second store for local state. You can instead use the Apollo Client cache as your single source of truth that holds all of your local data alongside your remote data. To access or update your local state, you use GraphQL queries and mutations just like you would for data from a server.

When you use Apollo Client to manage your local state, you get all of the same benefits you know and love like caching and offline persistence without having to set these features up yourself. 🎉 On top of that, you also benefit from the Apollo DevTools for debugging and visibility into your store.

Quick start

To get started, install apollo-link-state from npm:

npm install apollo-link-state --save 

The rest of the instructions assume that you have already set up Apollo Client in your application. After you install the package, you can create your state link by calling withClientState and passing in a resolver map. A resolver map describes how to retrieve and update your local data.

Let’s look at an example where we’re using a GraphQL mutation to update whether our network is connected with a boolean flag:

import { withClientState } from 'apollo-link-state'; // This is the same cache you pass into new ApolloClient  
const cache = new InMemoryCache(...); const stateLink = withClientState({ cache, resolvers: { Mutation: { updateNetworkStatus: (_, { isConnected }, { cache }) => { const data = { networkStatus: { __typename: 'NetworkStatus', isConnected }, }; cache.writeData({ data }); return null; }, }, }  

To hook up your state link to Apollo Client, add it to the other links in your Apollo Link chain. Your state link should be near the end of the chain, so that other links like apollo-link-error can also deal with local state requests. However, it should go before HttpLink so local queries and mutations are intercepted before they hit the network. It should also go before apollo-link-persisted-queries if you are using persisted queries. Then, pass your link chain to the Apollo Client constructor.

const client = new ApolloClient({ cache, link: ApolloLink.from([stateLink, new HttpLink()]),  

How do we differentiate a request for local data from a request that hits our server? In our query or mutation, we specify which fields are client-only with a @client directive. This tells our network stack to retrieve or update the data in the cache with our resolver map that we passed into our state link.

const UPDATE_NETWORK_STATUS = gql` mutation updateNetworkStatus($isConnected: Boolean) { updateNetworkStatus(isConnected: $isConnected) @client }  

To fire off the mutation from your component, bind your mutation to your component via your favorite Apollo view layer integration just like you normally would. Here’s what this would look like for React:

const WrappedComponent = graphql(UPDATE_NETWORK_STATUS, { props: ({ mutate }) => ({ updateNetworkStatus: isConnected => mutate({ variables: { isConnected } }), }),  

What if we want to access our network status data from another component? Since we don’t know whether our UPDATE_NETWORK_STATUS mutation will fire before we try to access the data, we should guard against undefined values by providing a default state as part of the state link initialization:

const stateLink = withClientState({ cache, resolvers: { Mutation: { /* same as above */ }, }, defaults: { networkStatus: { __typename: 'NetworkStatus', isConnected: true, }, },  

This is the same as calling writeData yourself with an initial value:

// Same as passing defaults above  
cache.writeData({ data: { networkStatus: { __typename: 'NetworkStatus', isConnected: true, }, },  

How do we query the networkStatus from our component? Similar to mutations, just use a query and the @client directive! With Apollo Link, we can combine data sources, including your remote data, in one query.

In this example, the articles field will either hit the cache or fetch from our GraphQL endpoint, depending on our fetch policy. Since networkStatus is marked with @client, we know that this is local data, so it will resolve from the cache.

const GET_ARTICLES = gql` query { networkStatus @client { isConnected } articles { id title } }  

To retrieve the data in your component, bind your query to your component via your favorite Apollo view layer integration just like you normally would. In this case, we’ll use React as an example. React Apollo will attach both your remote and local data to props.data while tracking both loading and error states. Once the query returns a result, your component will update reactively. Updates to Apollo Client state via apollo-link-state will also automatically update any components using that data in a query.

const WrappedComponent = graphql(GET_ARTICLES, { props: ({ data: { loading, error, networkStatus, articles } }) => { if (loading) { return { loading }; } if (error) { return { error }; } return { loading: false, networkStatus, articles, }; },  

Now that you’ve seen how easy it is to manage your local state in Apollo Client, let’s dive deeper into how apollo-link-state updates and queries your local data with defaults and resolvers.


Often, you’ll need to write an initial state to the cache so any components querying data before a mutation is triggered don’t error out. To accomplish this, use the defaults property for the default values you’d like to write to the cache and pass in your cache to withClientState. Upon initialization, apollo-link-state will immediately write those values to the cache with cache.writeData before any operations have occurred.

The shape of your initial state should match how you plan to query it in your application.

const defaults = { todos: [], visibilityFilter: 'SHOW_ALL', networkStatus: { __typename: 'NetworkStatus', isConnected: false, }  
}; const resolvers = { /* ... */ }; const cache = new InMemoryCache(); const stateLink = withClientState({ resolvers, cache, defaults

Sometimes you may need to reset the store in your application, for example when a user logs out. If you call client.resetStore anywhere in your application, you will need to write your defaults to the store again. apollo-link-state exposes a writeDefaults function for you. To register your callback to Apollo Client, call client.onResetStore and pass in writeDefaults.

const cache = new InMemoryCache();  
const stateLink = withClientState({ cache, resolvers, defaults }); const client = new ApolloClient({ cache, link: stateLink,  
}); const unsubscribe = client.onResetStore(stateLink.writeDefaults);

If you would like to unsubscribe this callback, client.onResetStore returns an unsubscribe function. However, we don’t recommend calling unsubscribe on your state link’s writeDefaults function unless you are planning on writing a new set of defaults to the cache.


Your resolvers are where all the magic happens to retrieve and update your
local data in the Apollo cache. The resolver map is an object with resolver
functions for each GraphQL object type. You can think of a GraphQL query or
mutation as a tree of function calls for each field. These function calls
resolve to data or another function call.

The four most important things to keep in mind about resolvers in apollo-link-state are this:

  1. The cache is added to the context (the third argument to the resolver) for you so you can write and read data from the cache.
  2. The resolver should return an object with a __typename property unless you’ve overridden the dataIdFromObject function to not use __typename for cache keys. This is necessary for Apollo Client to normalize the data in the cache properly.
  3. Resolver functions can return a promise if you need to perform asynchronous side effects.
  4. Query resolvers are only called on a cache miss. Since the first time you call the query will be a cache miss, you should return any default state from your resolver function.

If any of that sounds confusing, I promise it will be cleared up by the end of this section. Keep on reading! 😀

Default resolvers

You don’t have to specify resolver functions for every field, however. If the
return value from the parent object has the same property names as the fields
requested in the child object, you won’t need to specify a resolver. This is
called a default resolver.

const getUser = gqlquery { user(id: 1) @client { name { last first } } } 

For this query, you will need to specify a resolver for Query.user in your resolver map. If Query.user returns an object with a name property that corresponds to an object with last and first properties, you do not need to specify any additional resolvers. GraphQL takes care of that for you!

Resolver signature

The signature of a resolver function is the exact same as resolver functions on
the server built with graphql-tools. Let’s quickly recap the four parameters
of a resolver function:

fieldName: (obj, args, context, info) => result; 

  1. obj: The object containing the result returned from the resolver on the parent field or the ROOT_QUERY object in the case of a top-level query or mutation. Don’t worry about this one too much for apollo-link-state.
  2. args: An object containing all of the arguments passed into the field. For example, if you called a mutation with updateNetworkStatus(isConnected: true), the args object would be { isConnected: true }.
  3. context: The context object, which is shared by all links in the Apollo Link chain. The most important thing to note here is that we’ve added the Apollo cache to the context for you, so you can manipulate the cache with cache.writeData({}). If you want to set additional values on the context, you can set them from within your component or by using apollo-link-context.
  4. info: Information about the execution state of the query. You will probably never have to use this one.

For further exploration, check out the graphql-tools docs.

Async resolvers

apollo-link-state supports asynchronous resolver functions. These functions
can either be async functions or ordinary functions that return a Promise.
This can be useful for performing side effects like accessing a device API. If
you would like to hit a REST endpoint with your resolver, we recommend checking
out apollo-link-rest

instead, which is a more complete solution for using your REST endpoints with
Apollo Client.

For React Native and most browser APIs, you should set up a listener in a component lifecycle method and pass in your mutation trigger function as the callback instead of using an async resolver. However, there are some cases where it’s beneficial to perform the side effect within a resolver:

import { CameraRoll } from 'react-native'; const cameraRoll = { Query: { cameraRoll: async (_, { assetType }) => { try { const media = await CameraRoll.getPhotos({ first: 20, assetType, }); return { ...media, id: assetType, __typename: 'CameraRoll', }; } catch (e) { console.error(e); return null; } }, },  

CameraRoll.getPhotos() returns a Promise resolving to an object with a edges property, which is an array of camera node objects, and a page_info property, which is an object with pagination information. This is a great use case for GraphQL, since we can filter down the return value to only the data that our components consume.

const GET_PHOTOS = gql` query getPhotos($assetType: String!) { cameraRoll(assetType: $assetType) @client { id edges { node { image { uri } location { latitude longitude } } } } }  

Organizing your resolvers

For most applications, your map of resolvers will probably be too large to fit in one file. To organize your resolver map, we recommend splitting it up by feature, similar to the Redux ducks pattern. Each feature will have its own set of queries, mutations, and fields on its resolver map. Then, you can merge all of your separate resolver maps into one object before you pass it to withClientState.

import merge from 'lodash.merge';  
import { withClientState } from 'apollo-link-state'; import currentUser from './resolvers/user';  
import cameraRoll from './resolvers/camera';  
import networkStatus from './resolvers/network'; const stateLink = withClientState({ cache, resolvers: merge(currentUser, cameraRoll, networkStatus),  

You can do the same thing with the defaults option as well:

const currentUser = { defaults: { currentUser: null, }, resolvers: { ... }  
}; const cameraRoll = { defaults: { ... }, resolvers: { ... }}; const stateLink = withClientState({ ...merge(currentUser, cameraRoll, networkStatus), cache,

Updating the cache

When you manage your local data with Apollo Client, your Apollo cache becomes the single source of truth for all your local and remote data. To update and read from the cache, you access it via the context, which is the third argument passed to your resolver function.

The Apollo cache API has several methods to assist you with updating and retrieving data. Let’s walk through each of the methods and some common use cases for each one!


The easiest way to update the cache is with cache.writeData, which allows you
to write data directly to the cache without passing in a query. Here’s how
you use it in your resolver map for a simple update:

const filter = { Mutation: { updateVisibilityFilter: (, { visibilityFilter }, { cache }) => { const data = { visibilityFilter, _typename: 'Filter' }; cache.writeData({ data }); }, }, 

cache.writeData also allows you to pass in an optional id property to write a fragment to an existing object in the cache. This is useful if you want to add some client-side fields to an existing object in the cache.

The id should correspond to the object’s cache key. If you’re using the InMemoryCache and not overriding the dataObjectFromId config property, your cache key should be __typename:id.

const user = { Mutation: { updateUserEmail: (_, { id, email }, { cache }) => { const data = { email }; cache.writeData({ id: `User:${id}`, data }); }, },  

cache.writeData should cover most of your needs; however, there are some cases where the data you’re writing to the cache depends on the data that’s already there. In that scenario, you should use readQuery or readFragment, which allows you to pass in a query or a fragment to read data from the cache. If you’d like to validate the shape of your data that you’re writing to the cache, use writeQuery or writeFragment. We’ll explain some of those use cases below.

writeQuery and readQuery

Sometimes, the data you’re writing to the cache depends on data that’s already
in the cache; for example, you’re adding an item to a list or setting a property
based on an existing property value. In that case, you should use
cache.readQuery to pass in a query and read a value from the cache before you
write any data. Let’s look at an example where we add a todo to a list:

let nextTodoId = 0; const todos = { defaults: { todos: [], }, resolvers: { Mutation: { addTodo: (, { text }, { cache }) => { const query = gqlquery GetTodos { todos @client { id text completed } }; const previous = cache.readQuery({ query }); const newTodo = { id: nextTodoId++, text, completed: false, _typename: 'TodoItem' }, const data = { todos: previous.todos.concat([newTodo]), }; // you can also do cache.writeData({ data }) here if you prefer cache.writeQuery({ query, data }); return newTodo; }, }, }, 

In order to add our todo to the list, we need the todos that are currently in the cache, which is why we call cache.readQuery to retrieve them. cache.readQuery will throw an error if the data isn’t in the cache, so we need to provide an initial state. This is why we’re returning an empty array in our Query.todos resolver.

To write the data to the cache, you can use either cache.writeQuery or cache.writeData. The only difference between the two is that cache.writeQuery requires that you pass in a query to validate that the shape of the data you’re writing to the cache is the same as the shape of the data required by the query. Under the hood, cache.writeData automatically constructs a query from the data object you pass in and calls cache.writeQuery.

writeFragment and readFragment

cache.readFragment is similar to cache.readQuery except you pass in a
fragment. This allows for greater flexibility because you can read from any
entry in the cache as long as you have its cache key. In contrast,
cache.readQuery only lets you read from the root of your cache.

Let’s go back to our previous todo list example and see how cache.readFragment can help us toggle one of our todos as completed.

const todos = { resolvers: { Mutation: { toggleTodo: (_, variables, { cache }) => { const id = `TodoItem:${variables.id}`; const fragment = gql` fragment completeTodo on TodoItem { completed } `; const todo = cache.readFragment({ fragment, id }); const data = { ...todo, completed: !todo.completed }; // you can also do cache.writeData({ data, id }) here if you prefer cache.writeFragment({ fragment, id, data }); return null; }, }, },  

In order to toggle our todo, we need the todo and its status from the cache, which is why we call cache.readFragment and pass in a fragment to retrieve it. The id we’re passing into cache.readFragment refers to its cache key. If you’re using the InMemoryCache and not overriding the dataObjectFromId config property, your cache key should be __typename:id.

To write the data to the cache, you can use either cache.writeFragment or cache.writeData. The only difference between the two is that cache.writeFragment requires that you pass in a fragment to validate that the shape of the data you’re writing to the cache node is the same as the shape of the data required by the fragment. Under the hood, cache.writeData automatically constructs a fragment from the data object and id you pass in and calls cache.writeFragment.

@client directive

Adding the @client directive to a field is how Apollo Link knows to resolve
your data from the Apollo cache instead of making a network request. This
approach is similar to other Apollo Link APIs, such as
apollo-link-rest, which
uses the @rest directive to specify fields that should be fetched from a REST
endpoint. To clarify, the @client and @rest directives never modify the
shape of the result; rather, they specify where the data is coming from.

Combining local and remote data

What’s really cool about using a @client directive to specify client-side only
fields is that you can actually combine local and remote data in one query. In
this example, we’re querying our user’s name from our GraphQL server and their
cart from our Apollo cache. Both the local and remote data will be merged
together in one result.

const getUser = gqlquery getUser($id: String) { user(id: $id) { id name cart @client { product { name id } } } } 

Thanks to the power of directives and Apollo Link, you’ll soon be able to request @client data, @rest data, and data from your GraphQL server all in one query! 🎉

Example apps

To get you started, here are some example apps:

  • Todo: The classic todo list example
  • Async: Uses a React Native Web device API with async resolvers

If you have an example app that you’d like to be featured, please send us a PR! 😊 We’d love to hear how you’re using apollo-link-state.


While apollo-link-state is ready to use in your Apollo application today,
there are a few enhancements we’re looking to implement soon before a v1.0

We want your experience managing local data in Apollo Client to be as seamless as possible, so please get in touch if there’s a feature you’re looking for that’s not on this list. Additionally, if any of these topics interest you, we’d love to have you on board as a contributor!

Type checking

You may have noticed we haven’t mentioned a client-side schema yet or any type
validation. That’s because we haven’t settled on how to approach this piece of
the puzzle yet. It is something we would like to tackle soon in order to enable
schema introspection and autocomplete with GraphiQL in Apollo DevTools, as well
as code generation with apollo-codegen.

Having the same runtime type checking as a GraphQL server does is problematic because the necessary modules from graphql-js are very large. Including the modules for defining a schema and validating a request against a schema would significantly increase bundle size, so we’d like to avoid this approach. This is why we don’t send your server’s entire schema over to Apollo Client.

Ideally, we’d like to perform type checking at build time to avoid increasing bundle size. This is comparable to the rest of the JavaScript ecosystem—for example, Flow and TypeScript types are both stripped out at build time.

We don’t consider this a blocker for using apollo-link-state, but it is a feature we’d like to build before the v1.0 release. If you have any ideas on how to achieve this, please open up an issue for discussion on the apollo-link-state repo.

Helper components

Our goal for apollo-link-state is to make your experience managing local data
in Apollo Client as seamless as possible. To accomplish this, we want to
minimize boilerplate as much as possible so you can be productive quickly.

We’re nearly there; for example, cache.writeData was added as a helper method
to reduce the boilerplate of cache.writeQuery and cache.writeFragment. We
think we can improve the boilerplate required for binding your query or mutation
to a component. For example, this is a common pattern for performing a
client-side mutation:

const WrappedComponent = graphql( gqlmutation updateStatus($text: String) { status(text: $text) @client }, 
)(({ mutate }) => ( <button onClick={() => mutate({ variables: { text: 'yo' } })} /> ));

What if we could shorten it to something like this, so you don’t have to write
out the mutation details yourself, but it’s still implemented as a mutation
under the hood?

withClientMutations(({ writeField }) => ( <button onClick={() => writeField({ status: 'yo' })} /> 

Once we find out how people are using apollo-link-state, we can start to write
helper components for making common mutation and query patterns even easier.
These components will be separate from React Apollo and will live in another
package in the apollo-link-state repo. If you’d like to help build them,
please get in touch!

Tag cloud