apollo-cache-inmemory

What is apollo-cache-inmemory?

The `apollo-cache-inmemory` package is a core component of Apollo Client, which is used for managing and caching GraphQL data in the client-side application. It provides an in-memory cache implementation that allows for efficient data retrieval and storage, enabling features like query result caching, cache normalization, and cache persistence.

What are apollo-cache-inmemory's main functionalities?

Creating an InMemoryCache

This feature allows you to create an instance of `InMemoryCache`, which is the main cache implementation provided by the package. This cache can be used to store and retrieve GraphQL query results.

const { InMemoryCache } = require('apollo-cache-inmemory');
const cache = new InMemoryCache();

Configuring Cache Policies

This feature allows you to configure cache policies, such as merge functions, to control how data is merged into the cache. This is useful for handling pagination and other complex data structures.

const cache = new InMemoryCache({
  typePolicies: {
    Query: {
      fields: {
        myField: {
          merge(existing, incoming) {
            return { ...existing, ...incoming };
          }
        }
      }
    }
  }
});

Reading and Writing to the Cache

This feature allows you to read from and write to the cache directly using GraphQL queries. This is useful for updating the cache after performing local state updates or other client-side operations.

const { gql } = require('apollo-boost');
const query = gql`{ myField }`;
const data = cache.readQuery({ query });
cache.writeQuery({ query, data: { myField: 'newValue' } });

Cache Persistence

This feature allows you to persist the cache to a storage medium, such as localStorage, so that the cache can be restored when the application is reloaded. This helps in maintaining the state across sessions.

const { persistCache } = require('apollo-cache-persist');
persistCache({
  cache,
  storage: window.localStorage
});

Other packages similar to apollo-cache-inmemory

redux

Redux is a popular state management library for JavaScript applications. While it is not specifically designed for GraphQL, it can be used to manage the state of a GraphQL client by integrating with libraries like `redux-thunk` or `redux-saga` for handling asynchronous actions. Compared to `apollo-cache-inmemory`, Redux provides a more general-purpose state management solution but requires more boilerplate code to set up and manage the state.

react-query

React Query is a data-fetching library for React applications that simplifies fetching, caching, and synchronizing server data. It provides built-in support for caching and background data synchronization, making it a good alternative to `apollo-cache-inmemory` for managing server state. However, React Query is not specifically tied to GraphQL and can be used with any data-fetching library or API.

relay-runtime

Relay Runtime is a core package of Relay, a JavaScript framework for building data-driven React applications. It provides a normalized in-memory cache for GraphQL data, similar to `apollo-cache-inmemory`. Relay is designed to work seamlessly with GraphQL and provides advanced features like automatic query batching and efficient data fetching. Compared to `apollo-cache-inmemory`, Relay Runtime offers a more opinionated and integrated approach to managing GraphQL data.

README

---

title: InMemoryCache description: An explanation of apollo-cache-inmemory

apollo-cache-inmemory is the recommended cache implementation for Apollo Client 2.0. InMemoryCache is a normalized data store that supports all of Apollo Client 1.0's features without the dependency on Redux.

In some instances, you may need to manipulate the cache directly, such as updating the store after a mutation. We'll cover some common use cases here.

Installation

npm install apollo-cache-inmemory --save

After installing the package, you'll want to initialize the cache constructor. Then, you can pass in your newly created cache to ApolloClient.

import { InMemoryCache } from 'apollo-cache-inmemory';
import { HttpLink } from 'apollo-link-http';
import ApolloClient from 'apollo-client';

const cache = new InMemoryCache();

const client = new ApolloClient({
  link: new HttpLink(),
  cache
});

Configuration

The InMemoryCache constructor takes an optional config object with properties to customize your cache:

• addTypename: A boolean to determine whether to add __typename to the document (default: true)
• dataIdFromObject: A function that takes a data object and returns a unique identifier to be used when normalizing the data in the store. Learn more about how to customize dataIdFromObject in the Normalization section.
• fragmentMatcher: By default, the InMemoryCache uses a heuristic fragment matcher. If you are using fragments on unions and interfaces, you will need to use an IntrospectionFragmentMatcher. For more information, please read our guide to setting up fragment matching for unions & interfaces.

Normalization

The InMemoryCache normalizes your data before saving it to the store by splitting the result into individual objects, creating a unique identifier for each object, and storing those objects in a flattened data structure. By default, InMemoryCache will attempt to use the commonly found primary keys of id and _id for the unique identifier if they exist along with __typename on an object.

If id and _id are not specified, or if __typename is not specified, InMemoryCache will fall back to the path to the object in the query, such as ROOT_QUERY.allPeople.0 for the first record returned on the allPeople root query.

This "getter" behavior for unique identifiers can be configured manually via the dataIdFromObject option passed to the InMemoryCache constructor, so you can pick which field is used if some of your data follows unorthodox primary key conventions.

For example, if you wanted to key off of the key field for all of your data, you could configure dataIdFromObject like so:

const cache = new InMemoryCache({
  dataIdFromObject: object => object.key
});

This also allows you to use different unique identifiers for different data types by keying off of the __typename property attached to every object typed by GraphQL. For example:

const cache = new InMemoryCache({
  dataIdFromObject: object => {
    switch (object.__typename) {
      case 'foo': return object.key; // use `key` as the primary key
      case 'bar': return object.blah; // use `blah` as the priamry key
      default: return object.id || object._id; // fall back to `id` and `_id` for all other types
    }
  }
});

Direct Cache Access

To interact directly with your cache, you can use the Apollo Client class methods readQuery, readFragment, writeQuery, and writeFragment. These methods are available to us via the DataProxy interface. Accessing these methods will vary slightly based on your view layer implementation. If you are using React, you can wrap your component in the withApollo higher order component, which will give you access to this.props.client. From there, you can use the methods to control your data.

Any code demonstration in the following sections will assume that we have already initialized an instance of ApolloClient and that we have imported the gql tag from graphql-tag.

readQuery

The readQuery method is very similar to the [query method on ApolloClient][] except that readQuery will never make a request to your GraphQL server. The query method, on the other hand, may send a request to your server if the appropriate data is not in your cache whereas readQuery will throw an error if the data is not in your cache. readQuery will always read from the cache. You can use readQuery by giving it a GraphQL query like so:

const { todo } = client.readQuery({
  query: gql`
    query ReadTodo {
      todo(id: 5) {
        id
        text
        completed
      }
    }
  `,
});

If all of the data needed to fulfill this read is in Apollo Client’s normalized data cache then a data object will be returned in the shape of the query you wanted to read. If not all of the data needed to fulfill this read is in Apollo Client’s cache then an error will be thrown instead, so make sure to only read data that you know you have!

You can also pass variables into readQuery.

const { todo } = client.readQuery({
  query: gql`
    query ReadTodo($id: Int!) {
      todo(id: $id) {
        id
        text
        completed
      }
    }
  `,
  variables: {
    id: 5,
  },
});

readFragment

This method allows you great flexibility around the data in your cache. Whereas readQuery only allowed you to read data from your root query type, readFragment allows you to read data from any node you have queried. This is incredibly powerful. You use this method as follows:

const todo = client.readFragment({
  id: ..., // `id` is any id that could be returned by `dataIdFromObject`.
  fragment: gql`
    fragment myTodo on Todo {
      id
      text
      completed
    }
  `,
});

The first argument is the id of the data you want to read from the cache. That id must be a value that was returned by the dataIdFromObject function you defined when initializing ApolloClient. So for example if you initialized ApolloClient like so:

const client = new ApolloClient({
  ...,
  dataIdFromObject: object => object.id,
});

…and you requested a todo before with an id of 5, then you can read that todo out of your cache with the following:

const todo = client.readFragment({
  id: '5',
  fragment: gql`
    fragment myTodo on Todo {
      id
      text
      completed
    }
  `,
});

Note: Most people add a __typename to the id in dataIdFromObject. If you do this then don’t forget to add the __typename when you are reading a fragment as well. So for example your id may be Todo_5 and not just 5.

If a todo with that id does not exist in the cache you will get null back. If a todo of that id does exist in the cache, but that todo does not have the text field then an error will be thrown.

The beauty of readFragment is that the todo could have come from anywhere! The todo could have been selected as a singleton ({ todo(id: 5) { ... } }), the todo could have come from a list of todos ({ todos { ... } }), or the todo could have come from a mutation (mutation { createTodo { ... } }). As long as at some point your GraphQL server gave you a todo with the provided id and fields id, text, and completed you can read it from the cache at any part of your code.

writeQuery` and `writeFragment

Not only can you read arbitrary data from the Apollo Client cache, but you can also write any data that you would like to the cache. The methods you use to do this are writeQuery and writeFragment. They will allow you to change data in your local cache, but it is important to remember that they will not change any data on your server. If you reload your environment then changes made with writeQuery and writeFragment will disappear.

These methods have the same signature as their readQuery and readFragment counterparts except they also require an additional data variable. So for example, if you wanted to update the completed flag locally for your todo with id '5' you could execute the following:

client.writeFragment({
  id: '5',
  fragment: gql`
    fragment myTodo on Todo {
      completed
    }
  `,
  data: {
    completed: true,
  },
});

Any subscriber to the Apollo Client store will instantly see this update and render new UI accordingly.

Note: Again, remember that using writeQuery or writeFragment only changes data locally. If you reload your environment then changes made with these methods will no longer exist.

Or if you wanted to add a new todo to a list fetched from the server, you could use readQuery and writeQuery together.

const query = gql`
  query MyTodoAppQuery {
    todos {
      id
      text
      completed
    }
  }
`;

const data = client.readQuery({ query });

const myNewTodo = {
  id: '6',
  text: 'Start using Apollo Client.',
  completed: false,
};

client.writeQuery({
  query,
  data: {
    todos: [...data.todos, myNewTodo],
  },
});

Recipes

Here are some common situations where you would need to access the cache directly. If you're manipulating the cache in an interesting way and would like your example to be featured, please send in a pull request!

Server side rendering

First, you will need to initialize an InMemoryCache on the server and create an instance of ApolloClient. In the initial serialized HTML payload from the server, you should include a script tag that extracts the data from the cache.

`<script>
  window.__APOLLO_STATE__=${JSON.stringify(cache.extract())}
</script>`

On the client, you can rehydrate the cache using the initial data passed from the server:

cache: new Cache().restore(window.__APOLLO_STATE__)

If you would like to learn more about server side rendering, please check our our more in depth guide [here].

Updating the cache after a mutation

Being able to read and write to the Apollo cache from anywhere in your application gives you a lot of power over your data. However, there is one place where we most often want to update our cached data: after a mutation. As such, Apollo Client has optimized the experience for updating your cache with the read and write methods after a mutation with the update function. Let us say that we have the following GraphQL mutation:

mutation TodoCreateMutation($text: String!) {
  createTodo(text: $text) {
    id
    text
    completed
  }
}

We may also have the following GraphQL query:

query TodoAppQuery {
  todos {
    id
    text
    completed
  }
}

At the end of our mutation we want our query to include the new todo like we had sent our TodoAppQuery a second time after the mutation finished without actually sending the query. To do this we can use the update function provided as an option of the client.mutate method. To update your cache with the mutation just write code that looks like:

// We assume that the GraphQL operations `TodoCreateMutation` and
// `TodoAppQuery` have already been defined using the `gql` tag.

const text = 'Hello, world!';

client.mutate({
  mutation: TodoCreateMutation,
  variables: {
    text,
  },
  update: (proxy, { data: { createTodo } }) => {
    // Read the data from our cache for this query.
    const data = proxy.readQuery({ query: TodoAppQuery });

    // Add our todo from the mutation to the end.
    data.todos.push(createTodo);

    // Write our data back to the cache.
    proxy.writeQuery({ query: TodoAppQuery, data });
  },
});

The first proxy argument is an instance of [DataProxy][] has the same four methods that we just learned exist on the Apollo Client: readQuery, readFragment, writeQuery, and writeFragment. The reason we call them on a proxy object here instead of on our client instance is that we can easily apply optimistic updates (which we will demonstrate in a bit). The proxy object also provides an isolated transaction which shields you from any other mutations going on at the same time, and the proxy object also batches writes together until the very end.

If you provide an optimisticResponse option to the mutation then the update function will be run twice. Once immediately after you call client.mutate with the data from optimisticResponse. After the mutation successfully executes against the server the changes made in the first call to update will be rolled back and update will be called with the actual data returned by the mutation and not just the optimistic response.

Putting it all together:

const text = 'Hello, world!';

client.mutate({
  mutation: TodoCreateMutation,
  variables: {
    text,
  },
  optimisticResponse: {
    id: -1, // -1 is a temporary id for the optimistic response.
    text,
    completed: false,
  },
  update: (proxy, { data: { createTodo } }) => {
    const data = proxy.readQuery({ query: TodoAppQuery });
    data.todos.push(createTodo);
    proxy.writeQuery({ query: TodoAppQuery, data });
  },
});

As you can see the update function on client.mutate provides extra change management functionality specific to the use case of a mutation while still providing you the powerful data control APIs that are available on client.

The update function is not a good place for side-effects as it may be called multiple times. Also, you may not call any of the methods on proxy asynchronously.