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GitHub - banterfm/graphql-crunch: Reduces the size of GraphQL responses by conso...

 6 years ago
source link: https://github.com/banterfm/graphql-crunch
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readme.md

graphql-crunch

NPM version

Optimizes JSON responses by minimizing duplication and improving compressibility.

On Banter.fm, we see a 76% reduction in raw JSON size and a 30% reduction in gzip'd size. This leads to reduced transfer time and faster JSON parsing on mobile.

Client support

graphql-crunch is client agnostic and can be used anywhere that sends or receives JSON. We provide examples for integration with apollo-client as we use this in a GraphQL environment.

Installation

This library is distributed on npm. In order to add it as a dependency, run the following command:

$ npm install graphql-crunch --save

or with Yarn:

$ yarn add graphql-crunch

How does it work?

We flatten the object hierarchy into an array using a post-order traversal of the object graph. As we traverse we efficiently check if we've come across a value before, including arrays and objects, and replace it with a reference to it's earlier occurence if we've seen it. Values are only ever present in the array once.

Note: Crunching and uncrunching is an entirely lossless process. The final payload exactly matches the original.

Motivation

Large JSON blobs can be slow to parse on some mobile platforms, especially older Android phones, so we set out to improve that. At the same time we also wound up making the payloads more amenable to gzip compression too. GraphQL and REST-ful API responses tend to have a lot of duplication leading to huge payload sizes.

Example

In these examples, we use the SWAPI GraphQL demo.

Small Example

Using this query we'll fetch the first 2 people and their first 2 films and the first 2 characters in each of those films. We limit the connections to the first two items to keep the payload small:

  {
    allPeople(first: 2) {
      people {
        name
        gender
        filmConnection(first: 2) {
          films {
            title
            characterConnection(first: 2) {
              characters {
                name
                gender
              }
            }
          }
        }
      }
    }
  }

We get this response:

{
  "data": {
    "allPeople": {
      "people": [
        {
          "name": "Luke Skywalker",
          "gender": "male",
          "filmConnection": {
            "films": [
              {
                "title": "A New Hope",
                "characterConnection": {
                  "characters": [
                    {
                      "name": "Luke Skywalker",
                      "gender": "male"
                    },
                    {
                      "name": "C-3PO",
                      "gender": "n/a"
                    }
                  ]
                }
              },
              {
                "title": "The Empire Strikes Back",
                "characterConnection": {
                  "characters": [
                    {
                      "name": "Luke Skywalker",
                      "gender": "male"
                    },
                    {
                      "name": "C-3PO",
                      "gender": "n/a"
                    }
                  ]
                }
              }
            ]
          }
        },
        {
          "name": "C-3PO",
          "gender": "n/a",
          "filmConnection": {
            "films": [
              {
                "title": "A New Hope",
                "characterConnection": {
                  "characters": [
                    {
                      "name": "Luke Skywalker",
                      "gender": "male"
                    },
                    {
                      "name": "C-3PO",
                      "gender": "n/a"
                    }
                  ]
                }
              },
              {
                "title": "The Empire Strikes Back",
                "characterConnection": {
                  "characters": [
                    {
                      "name": "Luke Skywalker",
                      "gender": "male"
                    },
                    {
                      "name": "C-3PO",
                      "gender": "n/a"
                    }
                  ]
                }
              }
            ]
          }
        }
      ]
    }
  }
}

After we crunch it, we get:

{
  "data": [
    "male",
    "Luke Skywalker",
    { "gender": 0, "name": 1 },
    "n/a",
    "C-3PO",
    { "gender": 3, "name": 4 },
    [ 2, 5 ],
    { "characters": 6 },
    "A New Hope",
    { "characterConnection": 7, "title": 8 },
    "The Empire Strikes Back",
    { "characterConnection": 7, "title": 10 },
    [ 9, 11 ],
    { "films": 12 },
    { "filmConnection": 13, "gender": 0, "name": 1 },
    { "filmConnection": 13, "gender": 3, "name": 4 },
    [ 14, 15 ],
    { "people": 16 },
    { "allPeople": 17 }
  ]
}

The transformed payload is substantially smaller. After converting both payloads to JSON (with formatting removed), the transformed payload is 49% fewer bytes.

When the client receives this, we simply uncrunch it and get back the exact original version for the client to handle.

Large Example

In real-world scenarios, we'll generally want more attributes from our models, as well as connections that have more than two items in them. Here's a query similar to the one above except we don't limit the size of the connections and we request a standard set of selections on Person objects.

{
  allPeople {
    people {
      name
      birthYear
      eyeColor
      gender
      hairColor
      height
      mass
      skinColor
      homeworld {
        name
        population
      }
      filmConnection {
        films {
          title
          characterConnection {
            characters {
              name
              birthYear
              eyeColor
              gender
              hairColor
              height
              mass
              skinColor
              homeworld {
                name
                population
              }
            }
          }
        }
      }
    }
  }
}

The resulting response from this query is roughly 1MB of JSON (989,946 bytes), but with tons of duplication. Here is how crunching impacts the payload size:

Raw Crunched Improvement Size 989,946B 28,220B 97.1% GZip'd Size 22,240B 5,069B 77.2%

This is an admittedly extreme result, but highlights the potential for crunching payloads with large amounts of duplication.

Usage

Server-side

With apollo-server you can supply a custom formatResponse function. We use this to crunch the data field of the response before sending it over the wire.

import express from 'express';
import { graphqlExpress } from 'apollo-server-express';
import { crunch } from 'graphql-crunch';

const SERVICE_PORT = 3000;

const app = express();

app.use('/graphql', graphqlExpress(() => {
  return {
    formatResponse: (response) => {
      if (response.data && !response.data.__schema) {
        reponse.data = crunch(response.data);
      }

      return response;
    }
  };
}));

app.listen(SERVICE_PORT);

To maintain compatibility with clients that aren't expecting crunched payloads, we recommend conditioning the crunch on a query param, like so:

app.use('/graphql', graphqlExpress(() => {
  return {
    formatResponse: (response) => {
      if(request.query.crunch && response.data && !response.data.__schema) {
        reponse.data = crunch(response.data);
      }

      return response;
    }
  };
}));

Now only clients that opt-in to crunched payloads via the ?crunch query parameter will receive them.

Client-side

On the client, we uncrunch the server response before the GraphQL client processes it.

With apollo-client, use a link configuration to setup an afterware, e.g.

import { ApolloClient } from 'apollo-client';
import { ApolloLink, concat } from 'apollo-link';
import { HttpLink } from 'apollo-link-http';
import { uncrunch } from 'graphql-crunch';

const http = new HttpLink({
  credentials: 'include',
  uri: '/api'
});

const uncruncher = new ApolloLink((operation, forward) =>
  forward(operation)
    .map((response) => {
      response.data = uncrunch(response.data);
      return response;
    });
);

const client = new ApolloClient({link: concat(uncruncher, http)});

report

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