Building data-driven React applications with Relay

9 october 2019

Aurélien David

collective intelligence driven civic start-up that develops participatory applications.​

  • 23 people 🏃
  • 8 devs 👩‍💻

 Consultation

republique-numerique.fr

🇫🇷 Le Grand Débat National

granddebat.fr

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Contributions

 

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Visitors

Data fetching is hard

Over-fetching

Under-fetching

Requests waterfall

What we tried

  • Using fetch in componentDidMount 😀
  • More and more REST endpoints 😐
  • Multiple components, multiple requests 🥺
  • Share data in a Flux store 🤔
  • Dispatch redux actions, for loading, success, failures 😨
  • Redux-saga boilerplate… 😱

☠️

Allows clients to ask what they want.
 

Easily aggregate data from multiple sources.

 

Uses a type system to describe the data.

 

GraphQL clients for Frontend

 

 

 

 

API → props

 

Declarative Data-Binding

Declare the data your components need with GraphQL, Relay determines how and when to fetch your data.

 

Colocation

GraphQL is written next to the views that rely on them. Relay aggregates queries into efficient network requests.

 

Mutations

Write GraphQL mutations and Relay offers automatic data consistency, optimistic updates, and error handling.

 

Relay Specification

 

Global Object Identification

A mechanism for storing and refetching an object.

Connections

Consistent abstractions for bi-directional pagination.

Input Object Mutations

Structure around mutations to make them predictable.

A set of 3 additional conventions to adopt on a GraphQL server.

Text

import {createFragmentContainer, graphql} from 'react-relay';

class UserAvatar extends React.Component {
  render() {
    const { user } = this.props;
    return (
        <img alt={user.username} src={user.avatarUrl} />
    );
  }
}

export default createFragmentContainer(UserAvatar, {
  user: graphql`
    fragment UserAvatar_user on User {
      username
      avatarUrl
    }
  `,
});

Use fragments everywhere and Relay will make sure every components has the data that they need. 👍

Data requirements are colocated with components.

Relay uses data masking (each component only see what it asked for), it improves reusability, refactoring and deleting code.

<ComponentFileName>_<propName>

UserAvatar_user

🔥  Fragments Containers.

🔥  Composing Fragments

class UserProfile extends React.Component {
  render() {
    const {user} = this.props;
    return (
      <div>
        <span>Inscrit le {user.createdAt}</span>
        <UserAvatar user={user} />
      </div>
    );
  }
}

export default createFragmentContainer(UserProfile, {
  user: graphql`
    fragment UserProfile_user on User {
      createdAt
      ...UserAvatar_user
    }
  `,
});

Other Types of Fragment Containers

  •  
  • createPaginationContainer - a container that will refetch data based on pagination
  •  

Automate the boring pagination logic, only provides a loadMore method.

  •  

Other Types of Fragment Containers

  •  
  •  
  • createRefetchContainer - a container that has a refetch query to get more data afterwards

 

For all other use cases:

sorting, filtering, loading more details, refreshing…

 

Provides a refetch method.

When is the API called ?

A Relay app always starts with a QueryRenderer and a tree of containers either fragments, refetch or pagination.

 

QueryRenderers can be rendered anywhere that a React component can be rendered.

import React from 'react';
import {graphql, QueryRenderer} from 'react-relay';
import { environment } from './environment';
import UserProfile from './UserProfile';

const App = () => (
  <QueryRenderer
    environment={environment}
    query={graphql`
      query ViewerQuery {
        viewer {
          ...UserProfile_user
        }
      }
    `}
    variables={{}}
    render={({error, props}) => {
      if (error) {
        return <div>Error!</div>;
      }
      if (!props) {
        return <div>Loading...</div>;
      }
      return <UserProfile user={props.viewer} />;
    }}
  />
);

Relay QueryRenderer

QueryRenderer will fetch GraphQL data and pass that to render props.

 

QueryRenderer handles the state for loading, success and failure. 👌

It needs a Relay Environment which bundles together the configuration, cache storage, and network-handling that Relay needs in order to operate. ⚙️

Relay Store

The Relay Store is how Relay stores data of all fragments and queries. All records/nodes are normalized in the store, this is why we need a unique and global ID for each record.

Mutations

const mutation = graphql`
  mutation AddCommentVoteMutation(
$input: AddCommentVoteInput!
) {
    addCommentVote(input: $input) {
      voteEdge {
        node {
          id
          contribution {
            id
            viewerHasVote
          }
        }
      }
    }
  }
`;

Mutations

const variables = { commentId: '1234'};
const onCompleted = () => { console.log('Done !') };

commitMutation(environment, {
    mutation,
    variables,
    onCompleted,
})

Relay will automatically update the fields on the records referenced in the mutation response (using ids).

Relay re-renders live components with data updates.

You can also use an updater function for complex cases, or avoiding to ask a huge mutation payload.

Use commitMutation to create and execute mutations.

Optimistic UI

const optimisticResponse = {
      addCommentVote: {
        voteEdge: {
          node: {
            contribution: {
              id: variables.input.commentId,
              viewerHasVote: true
            }
        }
     }
  }
}

You can also use an optimisticUpdater function for complex cases.

Update the store before the mutation request has completed.

Local Updates

commitLocalUpdate(environment, store => {
  
  const dataID = this.props.comment.id;
  
  // Update a value from store
  const commentProxy = store.get(dataID);
  commentProxy.setValue(new DateTime(), 'deletedAt');
  
  
  // Or delete node form the store
  store.delete(dataID);
  
});

How to replace Redux with Relay

Relay Compiler and Babel Plugin

The Relay compiler validates your queries against your GraphQL schema and enforces strict naming.

 

It will optimise all your queries and fragments, so you can have a great DX without losing performance 🔥

 

It emits types for your fragment's fields selections and queries variables and responses.

 

Relay compiler plugins (typescript, flow and reasons) support

 

100% type-safe application code

import type { ExampleFragment_artist } 
from "__generated__/ExampleFragment_artist.graphql"

const component = (props: { artist: ExampleFragment_artist }) => (
    <div>About the artist: {props.artist.biography}</div>
  );

export const ExampleFragment = createFragmentContainer(
  component,
  {
    artist: graphql`
      fragment ExampleFragment_artist on Artist {
        biography
      }
    `
  }
)

❤️ without the maintenance cost ❤️

Want more features ?

  • include and skip directives
  • persisted queries
  • Subscriptions

Relay Roadmap

  • New hooks apis with suspense (just landed as experimental in Open Source)
  • Code fetching directives (@match, @module)
  • stream, defer, live queries
  • Better DX for updaters

Relay vs Apollo

  • Heavily based on conventions
    • ​enforce a very clean architecture
    • help devs to build scalable codebases
  • Facebook support and OSS community
  • Relay and React teams lives besides one another
  • Facebook-scale best-practices (8+ years of GraphQL)
  • Compile-time query generation (removing runtime overhead)

Destroying the "Relay is hard" myth

Relay is an opinionated framework for building user interfaces.

Learning Relay

Amazing Frontend Developer Experience

😍 Remove most of data fetching code.

 

🚆 Optimistic UI and cached data.

 

✅ Generate Flow/Typescript typings using the strongly-typed schema.

Thanks !

Any questions ?

We work hard to update our democracy (with Relay)… 👍

Aurélien David - @spyl94 - spyl.net - aurelien@cap-collectif.com

 Slides: cap-collectif.slides.com/spyl/building-react-app-with-relay

Building data-driven React applications with Relay

By Aurélien David

Building data-driven React applications with Relay

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