Document transforms

Have you noticed that Apollo Client modifies your queries—such as adding the __typename field—before sending those queries to your GraphQL server? It does this through document transforms, functions that modify GraphQL documents before query execution.

Apollo Client provides an advanced capability that lets you define your own GraphQL document transforms to modify your GraphQL queries. This article explains how to make and use custom GraphQL document transforms.

Overview

Document transforms allow you to programmatically modify GraphQL documents used to query data in your application. A GraphQL document is an

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import { DocumentTransform } from '@apollo/client';
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const documentTransform = new DocumentTransform((document) => {
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  // modify the document
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  return transformedDocument;
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});
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const client = new ApolloClient({
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  documentTransform
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});

Lifecycle

Apollo Client runs document transforms before every GraphQL request for all operations. This extends to any API that performs a network request, such as the

Document transforms are run early in the request's lifecycle. This makes it possible for the cache to see modifications to GraphQL documents—an essential distinction from document modifications made to GraphQL documents in an

Interacting with built-in transforms

Apollo Client ships with built-in document transforms that are essential to the client's functionality.

• The __typename field is added to every selection set in a query to identify the type of all objects returned by the GraphQL operation.
• GraphQL documents that use fragments defined in the
  fragment registry
  are added to the document before the request is sent over the network (requires Apollo Client 3.7 or later).

It's crucial for custom document transforms to interact with these built-in features. To make the most of your custom document transform, Apollo Client runs these built-in transforms twice: once before and once after your transform.

Running the built-in transforms before your custom transform allows your transform to both see the __typename fields added to each field's selection set and modify fragment definitions defined in the fragment registry. Apollo Client understands that your transform may add new selection sets or new fragment selections to the GraphQL document. Because of this, Apollo Client reruns the built-in transforms after your custom transforms.

Running built-in transforms twice is a convenient capability because it means that you don't have to remember to include the __typename field for any added selection sets. Nor do you need to look up fragment definitions in the fragment registry for fragment selections added to the GraphQL document.

Write your own document transform

As an example, let's write a document transform that ensures an id field is selected anytime currentUser is queried. We will use several helper functions and utilities provided by the

First, we must create a new document transform using the DocumentTransform class provided by Apollo Client. The DocumentTransform constructor takes a callback function that runs for each GraphQL document transformed. The GraphQL document is passed as the only argument to this callback function.

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import { DocumentTransform } from '@apollo/client';
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const documentTransform = new DocumentTransform((document) => {
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  // Modify the document
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});

To modify the document, we bring in the

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import { DocumentTransform } from '@apollo/client';
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import { visit } from 'graphql';
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const documentTransform = new DocumentTransform((document) => {
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  const transformedDocument = visit(document, {
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    // visitor
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  });
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  return transformedDocument;
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});

Visitors allow you to visit many types of nodes in the AST, such as directives, fragments, and fields. In our example, we only care about visiting fields since we want to modify the currentUser field in our queries. To visit a field, we need to define a Field callback function that will be called whenever the traversal encounters one.

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const transformedDocument = visit(document, {
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  Field(field) {
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    // ...
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  }
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});

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visit(document, {
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  Field: {
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    enter(field) {
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      // ...
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    }
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  }
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});

Our document transform only needs to modify a field named currentUser, so we need to check the field's name property to determine if we are working with the currentUser field. Let's add a conditional check and return early if we encounter any field not named currentUser.

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const transformedDocument = visit(document, {
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  Field(field) {
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    if (field.name.value !== 'currentUser') {
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      return;
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    }
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  }
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});

Now that we've determined we are working with the currentUser field, we need to figure out if our id field is already part of the currentUser field's selection set. This ensures we don't accidentally select the field twice in our query.

To do so, let's get the field's selectionSet property and loop over its selections property to determine if the id field is included.

It's important to note that a selectionSet may contain selections of both fields and fragments. Our implementation only needs to perform checks against fields, so we also check the selection's kind property. If we find a match on a field named id, we can stop traversal of the AST.

We will bring in both the

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import { visit, Kind, BREAK } from 'graphql';
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const transformedDocument = visit(document, {
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  Field(field) {
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    // ...
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    const selections = field.selectionSet?.selections ?? [];
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    for (const selection of selections) {
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      if (
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        selection.kind === Kind.FIELD &&
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        selection.name.value === 'id'
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      ) {
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        return BREAK;
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      }
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    }
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  }
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});

Now that we know the id field is missing, we can add it to our currentUser field's selection set. To do so, let's create a new field and give it a name of id. This is represented as a plain object with the kind property set to Kind.FIELD and a name node that defines the field's name.

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const idField = {
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  kind: Kind.FIELD,
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  name: {
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    kind: Kind.NAME,
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    value: 'id',
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  },
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};

We now return a modified field from our visitor that adds the id field to the currentUser field's selectionSet. This updates our GraphQL document.

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const transformedDocument = visit(document, {
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  Field(field) {
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    // ...
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    const idField = {
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      // ...
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    };
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    return {
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      ...field,
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      selectionSet: {
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        ...field.selectionSet,
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        selections: [...selections, idField],
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      },
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    };
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  }
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});

Hooray! We now have a working document transform that ensures the id field is selected whenever a query containing the currentUser field is sent to our server. For completeness, here is the full definition of our custom document transform after completing this example.

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import { DocumentTransform } from '@apollo/client';
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import { visit, Kind, BREAK } from 'graphql';
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const documentTransform = new DocumentTransform((document) => {
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  const transformedDocument = visit(document, {
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    Field(field) {
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      if (field.name.value !== 'currentUser') {
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        return;
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      }
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      const selections = field.selectionSet?.selections ?? [];
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      for (const selection of selections) {
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        if (
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          selection.kind === Kind.FIELD &&
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          selection.name.value === 'id'
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        ) {
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          return BREAK;
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        }
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      }
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      const idField = {
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        kind: Kind.FIELD,
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        name: {
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          kind: Kind.NAME,
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          value: 'id',
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        },
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      };
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      return {
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        ...field,
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        selectionSet: {
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          ...field.selectionSet,
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          selections: [...selections, idField],
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        },
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      };
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    },
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  });
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  return transformedDocument;
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});

Check our document transform

We can check our custom document transform by calling the transformDocument function and passing a GraphQL query to it.

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import { print } from 'graphql';
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const query = gql`
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  query TestQuery {
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    currentUser {
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      name
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    }
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  }
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`;
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const documentTransform = new DocumentTransform((document) => {
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  // ...
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});
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const modifiedQuery = documentTransform.transformDocument(query);
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console.log(print(modifiedQuery));
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// query TestQuery {
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//   currentUser {
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//     name
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//     id
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//   }
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// }

Similarly, we can verify that passing a query that doesn't query for currentUser is unaffected by our transform.

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const query = gql`
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  query TestQuery {
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    user {
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      name
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    }
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  }
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`;
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const modifiedQuery = documentTransform.transformDocument(query);
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console.log(print(modifiedQuery));
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// query TestQuery {
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//   user {
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//     name
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//   }
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// }

Query your server using the document transform

The transformDocument function is useful to spot check your document transform. In practice, however, this will be done for you by Apollo Client.

Let's add our document transform to Apollo Client and send a query to the server. The network request will contain the updated GraphQL query and the data returned from the server will include the id field.

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import { ApolloClient, DocumentTransform } from '@apollo/client';
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const query = gql`
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  query TestQuery {
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    currentUser {
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      name
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    }
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  }
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`;
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const documentTransform = new DocumentTransform((document) => {
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  // ...
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});
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const client = new ApolloClient({
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  // ...
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  documentTransform
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});
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const result = await client.query({ query });
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console.log(result.data);
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// {
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//   currentUser: {
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//     id: "...",
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//     name: "..."
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//   }
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// }

Composing document transforms

You may have noticed that the ApolloClient constructor only takes a single documentTransform option. As you add new capabilities to your document transforms, it may grow unwieldy. The DocumentTransform class makes it easy to split and compose multiple transforms into a single one.

Combining multiple document transforms

You can combine multiple document transforms together using the concat() function. This forms a "chain" of document transforms that are run one right after the other.

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const documentTransform1 = new DocumentTransform(transform1);
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const documentTransform2 = new DocumentTransform(transform2);
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const documentTransform = documentTransform1.concat(documentTransform2);

Here documentTransform1 is combined with documentTransform2 into a single document transform. Calling the transformDocument() function on documentTransform runs the GraphQL document through documentTransform1 and then through documentTransform2. Changes made to the GraphQL document in documentTransform1 are seen by documentTransform2.

A note about performance

Combining multiple transforms is a powerful feature that makes it easy to split up transform logic, which can boost maintainability. Depending on the implementation of your visitor, this can result in the traversal of the GraphQL document AST multiple times. Most of the time, this shouldn't be an issue. We recommend using the

Suppose you are sending very large queries that require several traversals and have already optimized your visitors with the BREAK sentinel. In that case, it's best to combine the transforms into a single visitor that traverses the AST once.

See the section on

Conditionally running document transforms

At times, you may need to conditionally run a document transform depending on the GraphQL document. You can conditionally run a transform by calling the split() static function on the DocumentTransform constructor.

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import { isSubscriptionOperation } from '@apollo/client/utilities';
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const subscriptionTransform = new DocumentTransform(transform);
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const documentTransform = DocumentTransform.split(
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  (document) => isSubscriptionOperation(document),
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  subscriptionTransform
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);

Here the subscriptionTransform is only run for subscription operations. For all other operations, no modifications are made to the GraphQL document. The resulting document transform will first check to see if the document is a subscription operation, and if so, proceed to run subscriptionTransform. If not, subscriptionTransform is bypassed, and the GraphQL document is returned as-is.

The split function also allows you to pass a second document transform to its function, allowing you to replicate an if/else condition.

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const subscriptionTransform = new DocumentTransform(transform1);
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const defaultTransform = new DocumentTransform(transform2)
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const documentTransform = DocumentTransform.split(
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  (document) => isSubscriptionOperation(document),
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  subscriptionTransform,
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  defaultTransform
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);

Here the subscriptionTransform is only run for subscription operations. For all other operations, the GraphQL document is run through the defaultTransform.

Why should I use the split() function instead of a conditional check inside of the transform function?

Sometimes, using the split() function is more efficient than running a conditional check inside the transform function.

For example, you can run a transform by adding a conditional check inside the transform function itself:

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const documentTransform = new DocumentTransform((document) => {
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  if (shouldTransform(document)) {
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    // ...
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    return transformedDocument
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  }
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  return document
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});

Consider the case where you've combined multiple document transforms using the concat() function:

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const documentTransform1 = new DocumentTransform(transform1);
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const documentTransform2 = new DocumentTransform(transform2);
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const documentTransform3 = new DocumentTransform(transform3);
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const documentTransform = documentTransform1
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  .concat(documentTransform2)
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  .concat(documentTransform3);

The split() function makes skipping the entire chain of document transforms easier.

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const documentTransform = DocumentTransform.split(
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  (document) => shouldTransform(document),
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  documentTransform1
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    .concat(documentTransform2)
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    .concat(documentTransform3)
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);

Document caching

You should strive to make your document transforms deterministic. This means the document transform should always output the same transformed GraphQL document when given the same input GraphQL document. The DocumentTransform class optimizes for this case by caching the transformed result for each input GraphQL document. This speeds up repeated calls to the document transform to avoid unnecessary work.

The DocumentTransform class takes this further and records all transformed documents. That means that passing an already transformed document to the document transform will immediately return the GraphQL document.

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const transformed1 = documentTransform.transformDocument(document);
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const transformed2 = documentTransform.transformDocument(transformed1);
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transformed1 === transformed2; // => true

Non-deterministic document transforms

In rare circumstances, you may need to rely on a runtime condition from outside the transform function that changes the result of the document transform. Due to the automatic caching of the document transform, this becomes a problem when that runtime condition changes between calls to your document transform.

Instead of completely disabling the document cache in these situations, you can provide a custom cache key that will be used to cache the result of the document transform. This ensures your transform is only called as often as necessary while maintaining the flexibility of the runtime condition.

To customize the cache key, pass the getCacheKey function as an option to the second argument of the DocumentTransform constructor. This function receives the document that will be passed to your transform function and is expected to return an array.

As an example, here is a document transform that depends on whether the user is connected to the network.

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const documentTransform = new DocumentTransform(
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  (document) => {
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    if (window.navigator.onLine) {
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      // Transform the document when the user is online
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    } else {
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      // Transform the document when the user is offline
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    }
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  },
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  {
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    getCacheKey: (document) => [document, window.navigator.onLine]
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  }
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);

You may conditionally disable the cache for select GraphQL documents by returning undefined from the getCacheKey function. This will force the document transform to run, regardless of whether the input GraphQL document has been seen.

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const documentTransform = new DocumentTransform(
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  (document) => {
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    // ...
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  },
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  {
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    getCacheKey: (document) => {
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      // Always run the transform function when `shouldCache` is `false`
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      if (shouldCache(document)) {
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        return [document]
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      }
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    }
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  }
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);

As a last resort, you may completely disable document caching to force your transform function to run each time your document transform is used. Set the cache option to false to disable the cache.

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const documentTransform = new DocumentTransform(
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  (document) => {
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    // ...
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  },
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  {
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    cache: false
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  }
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);

Caching within combined transforms

When you combine multiple document transforms using the concat() function, each document transform's cache configuration is honored. This allows you to mix and match transforms that contain varying cache configurations and be confident the resulting GraphQL document is correctly transformed.

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const cachedTransform = new DocumentTransform(transform);
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const varyingTransform = new DocumentTransform(transform, {
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  getCacheKey: (document) => [document, window.navigator.onLine]
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});
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const conditionalCachedTransform = new DocumentTransform(transform, {
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  getCacheKey: (document) => {
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    if (shouldCache(document)) {
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      return [document]
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    }
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  }
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});
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const nonCachedTransform = new DocumentTransform(transform, {
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  cache: false
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});
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const documentTransform =
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  cachedTransform
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    .concat(varyingTransform)
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    .concat(conditionalCachedTransform)
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    .concat(nonCachedTransform);

TypeScript and GraphQL Code Generator

Document transforms present a challenge for this tool. Because document transforms are used at runtime, there's no way for static analysis to understand the changes applied to GraphQL documents from within document transforms.

Thankfully, GraphQL Code Generator provides a

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import type { CodegenConfig } from '@graphql-codegen/cli';
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import { documentTransform } from './path/to/your/transform';
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const config: CodegenConfig = {
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  schema: 'https://localhost:4000/graphql',
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  documents: ['src/**/*.tsx'],
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  generates: {
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    './src/gql/': {
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      preset: 'client',
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      documentTransforms: [
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        {
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          transform: ({ documents }) => {
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            return documents.map((documentFile) => {
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              documentFile.document = documentTransform
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                .transformDocument(documentFile.document);
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              return documentFile;
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            });
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          }
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        }
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      ]
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    }
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  }
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}

You might not need document transforms

Document transforms are a powerful feature of Apollo Client. After reading this article, you may be rushing to find as many use cases for this feature as possible. While we encourage you to use this feature where it makes sense in your application, there can be a hidden cost to using it.

Consider what happens when working in a large production application that spans many teams within your organization. Document transforms are typically defined in the code base far from where GraphQL queries are defined. Not all developers may be aware of their existence nor understand their impact on the final GraphQL document.

Document transforms can make endless modifications to GraphQL documents before they are sent to the network. You may find yourself in a position where the result returned from the GraphQL operation does not match the original GraphQL document. This can get especially confusing when document transforms remove fields or make other destructive changes.

Consider leaning on existing techniques as a first resort, such as linting. For example, if you require that every selection set in your GraphQL document should include an id field, you may find it more useful to create a lint rule that complains when you forget to include it. This makes it more obvious exactly what to expect from your GraphQL queries since the lint rule is applied where your GraphQL queries are defined. Adding an id via a document transform makes this relationship an implicit one.

We encourage you to document your own document transforms to create a shared knowledge base to help avoid confusion. This doesn't mean we consider this feature dangerous. After all, Apollo Client has been performing document transformations for nearly its entire existence and they are necessary for its core functionality.

Can I use this to define my own custom directives?

At a glance, document transforms seem like a great place to create and define custom directives since they can detect their presence in the GraphQL document. Document transforms, however, don't have access to the cache, nor can they interact with the data returned from your GraphQL server. If your custom directive needs access to these features in Apollo Client, you will have difficulty finding ways to make this work.

Custom directives are limited to use cases that depend on modifications to the GraphQL document itself.

Here is an example that uses a DSL-like directive that depends on a feature flagging system to conditionally include fields in queries. The document transform modifies a custom @feature directive to a regular @include directive and adds a variable definition to the query.

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const query = gql`
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  query MyQuery {
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    myCustomField @feature(name: "custom", version: 2)
4
  }
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`;
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const documentTransform = new DocumentTransform((document) => {
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  // convert `@feature` directives to `@include` directives and update variable definitions
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});
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documentTransform.transformDocument(query);
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// query MyQuery($feature_custom_v2: Boolean!) {
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//   myCustomField @include(if: $feature_custom_v2)
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// }

API Reference

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