An Introduction to GraphQL with Apollo

An Introduction to GraphQL with Apollo

An Introduction to GraphQL with Apollo

In this post, we will give you information about An Introduction to GraphQL with Apollo. Here we will give you detail about An Introduction to GraphQL with Apollo And how to use it also give you a demo for it if it is necessary.

The apollo-server package provides a framework for building GraphQL APIs. There are 2 components you need to implement to build a GraphQL API:

  • Schema: What types exist in your system and what operations are allowed on those types.
  • Resolvers: How to load individual properties of your types.

Schema and Resolvers for  An Introduction to GraphQL with Apollo

With a GraphQL schema and resolvers, you can define a read-only API with Apollo. First, a GraphQL schema is a string that defines
every type your API returns and every operation your API allows. For example, the below GraphQL schema defines one query operation, getCount(), that returns an object of type CountResult.

const schema = '
  type Query {
    getCount: CountResult
  }

  type CountResult {
    count: Int
    time: Float
  }
';

In a GraphQL schema, the Query type is special: it lists out all queries (read-only operations) that the server allows.

Resolvers allow you to actually implement the getCount()function. The below example shows how you can start up an Apollo server with the above schema, and make an HTTP request using Axios:

const { ApolloServer, gql } = require('apollo-server');

let count = 0;

// The 'gql()' function parses the schema
const schema = gql('
  type Query {
    getCount: CountResult
  }

  type CountResult {
    count: Int
    time: Float
  }
');

// Resolvers define how the actual operations are implemented.
// The 'Query.getCount()' resolver defines what happens when
// you call 'getCount()', and the 'Query.CountResult' resolvers
// define how to transform the individual properties.
const resolvers = {
  Query: {
    getCount: () => ({ count, time: Date.now() })
  },
  CountResult: {
    count: obj => obj.count,
    time: obj => obj.time
  }
};

const server = new ApolloServer({ typeDefs: schema, resolvers });
const handle = await server.listen();

// Make a request to the Apollo server. GraphQL requests are
// just plain old HTTP requests.
const axios = require('axios');
const { data } = await axios.post(handle.url, {
  query: '
    { getCount { count, time } }
  '
});

data.data; // { getCount: { count: 0, time: 1581442587371 } }

Mutations for An Introduction to GraphQL with Apollo

The previous Apollo server is read-only. It just allows you to get the current count, not increment it. In GraphQL, an operation
that modifies data is called a mutation.

Like Query, Mutation is a special type that lists out every mutation your API allows.

const schema = '
  type Query {
    getCount: CountResult
  }

  type Mutation {
    increment: CountResult
  }

  type CountResult {
    count: Int
    time: Float
  }
';

In Apollo, mutations are just resolvers for the Mutation type as shown below.

const { ApolloServer, gql } = require('apollo-server');

let count = 0;

const schema = gql('
  type Query {
    getCount: CountResult
  }

  type Mutation {
    increment: CountResult
  }

  type CountResult {
    count: Int
    time: Float
  }
');

const resolvers = {
  Query: {
    getCount: () => ({ count, time: Date.now() })
  },
  // 'increment' is just a resolver for the Mutation type
  Mutation: {
    increment: () => ({ count: ++count, time: Date.now() })
  },
  CountResult: {
    count: obj => obj.count,
    time: obj => obj.time
  }
};

const server = new ApolloServer({ typeDefs: schema, resolvers });
const handle = await server.listen();

const axios = require('axios');
// Call the 'increment' mutation
await axios.post(handle.url, {
  query: 'mutation { increment { count, time } }'
});

// After the 'increment' mutation, 'count' is now 1
const { data } = await axios.post(handle.url, {
  query: '{ getCount { count, time } }'
});

data.data; // { getCount: { count: 1, time: 1581442587371 } }

More Graphql Tutorials for An Introduction to GraphQL with Apollo

  • GraphQL Mutations in Apollo

GraphQL is a query language and runtime for application programming interfaces (APIs) that prioritizes giving clients exactly the data they request and no more. GraphQL is designed to make APIs fast, flexible, and developer-friendly.

Here are some of the benefits of using GraphQL:

Performance: GraphQL queries can be much more efficient than traditional REST APIs, as they only fetch the data that is actually needed. This can lead to significant performance improvements, especially for large datasets.

Flexibility: GraphQL allows clients to request data in a variety of ways, which gives developers more control over how their applications work. This can be helpful for building complex applications that need to access data from multiple sources.

Developer-friendliness: GraphQL is a relatively easy language to learn, and there are a number of tools and resources available to help developers get started. This makes it a good choice for both experienced and beginner developers.

If you are looking for a way to build a more efficient, flexible, and developer-friendly API, then GraphQL is a good option to consider.

Here are some examples of how GraphQL can be used:

A social media app could use GraphQL to fetch the latest posts from a user’s friends. The app could specify exactly which fields of data it needs from each post, such as the title, body, and author. This would allow the app to fetch only the data that it needs, which would improve performance.

An e-commerce website could use GraphQL to fetch product information for a specific product. The website could specify which fields of data it needs from the product, such as the name, price, and description. This would allow the website to fetch only the data that it needs, which would improve performance.

A gaming app could use GraphQL to fetch the current state of the game. The app could specify which fields of data it needs from the game state, such as the player’s position, health, and inventory. This would allow the app to fetch only the data that it needs, which would improve performance.

If you are interested in learning more about GraphQL, there are a number of resources available online. The official GraphQL website has a number of tutorials and documentation that can help you get started. There are also a number of third-party tools and libraries that can help you build GraphQL APIs.

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