Node.js GraphQL
What is GraphQL?
GraphQL is a query language for APIs and a runtime for executing those queries against your data. It was developed by Facebook in 2012 and publicly released in 2015.
Key Features
- Client-specified queries: Request exactly what you need, nothing more
- Single endpoint: Access all resources through one endpoint
- Strongly typed: Clear schema defines available data and operations
- Hierarchical: Queries match the shape of your data
- Self-documenting: Schema serves as documentation
Note: Unlike REST, GraphQL lets clients specify exactly what data they need, reducing over-fetching and under-fetching of data.
Getting Started with GraphQL in Node.js
Prerequisites
- Node.js installed (v14 or later recommended)
- Basic knowledge of JavaScript and Node.js
- npm or yarn package manager
Step 1: Set Up a New Project
Create a new directory and initialize a Node.js project:
mkdir graphql-server
cd graphql-server
npm init -y
Step 2: Install Required Packages
Install the necessary dependencies:
npm install express express-graphql graphql
This installs:
express
: Web framework for Node.jsexpress-graphql
: Middleware for creating a GraphQL HTTP servergraphql
: The JavaScript reference implementation of GraphQL
Step 3: Create a Basic GraphQL Server
3.1 Define Your Data Model
Create a new file server.js
and start by defining your data model using GraphQL's Schema Definition Language (SDL):
const express = require('express');
const { graphqlHTTP } = require('express-graphql');
const { buildSchema } = require('graphql');
// Sample data
const books = [
{
id: '1',
title: 'The Great Gatsby',
author: 'F. Scott Fitzgerald',
year: 1925,
genre: 'Novel'
},
{
id: '2',
title: 'To Kill a Mockingbird',
author: 'Harper Lee',
year: 1960,
genre: 'Southern Gothic'
}
];
3.2 Define the GraphQL Schema
Add the schema definition to your server.js
file:
// Define the schema using GraphQL schema language
const schema = buildSchema(`
# A book has a title, author, and publication year
type Book {
id: ID!
title: String!
author: String!
year: Int
genre: String
}
# The "Query" type is the root of all GraphQL queries
type Query {
# Get all books
books: [Book!]!
# Get a specific book by ID
book(id: ID!): Book
# Search books by title or author
searchBooks(query: String!): [Book!]!
}
`);
3.3 Implement Resolvers
Add resolver functions to fetch the actual data:
// Define resolvers for the schema fields
const root = {
// Resolver for fetching all books
books: () => books,
// Resolver for fetching a single book by ID
book: ({ id }) => books.find(book => book.id === id),
// Resolver for searching books
searchBooks: ({ query }) => {
const searchTerm = query.toLowerCase();
return books.filter(
book =>
book.title.toLowerCase().includes(searchTerm) ||
book.author.toLowerCase().includes(searchTerm)
);
}
};
3.4 Set Up the Express Server
Complete the server setup:
// Create an Express app
const app = express();
// Set up the GraphQL endpoint
app.use('/graphql', graphqlHTTP({
schema: schema,
rootValue: root,
// Enable the GraphiQL interface for testing
graphiql: true,
}));
// Start the server
const PORT = 4000;
app.listen(PORT, () => {
console.log(`Server running at http://localhost:${PORT}/graphql`);
});
Step 4: Run and Test Your GraphQL Server
4.1 Start the Server
Run your server with Node.js:
node server.js
You should see the message: Server running at http://localhost:4000/graphql
4.2 Test with GraphiQL
Open your browser and navigate to http://localhost:4000/graphql
to access the GraphiQL interface.
Example Query: Get All Books
{
books {
id
title
author
year
}
}
Example Query: Get a Single Book
{
book(id: "1") {
title
author
genre
}
}
Example Query: Search Books
{
searchBooks(query: "Gatsby") {
title
author
year
}
}
Handling Mutations
Mutations are used to modify data on the server. Let's add the ability to add, update, and delete books.
1. Update the Schema
Add the Mutation type to your schema:
const schema = buildSchema(`
# ... (previous types remain the same) ...
# Input type for adding/updating books
input BookInput {
title: String
author: String
year: Int
genre: String
}
type Mutation {
# Add a new book
addBook(input: BookInput!): Book!
# Update an existing book
updateBook(id: ID!, input: BookInput!): Book
# Delete a book
deleteBook(id: ID!): Boolean
}
`);
2. Implement Mutation Resolvers
Update your root resolver object to include the mutation resolvers:
const root = {
// ... (previous query resolvers remain the same) ...
// Mutation resolvers
addBook: ({ input }) => {
const newBook = {
id: String(books.length + 1),
...input
}
books.push(newBook);
return newBook;
},
updateBook: ({ id, input }) => {
const bookIndex = books.findIndex(book => book.id === id);
if (bookIndex === -1) return null;
const updatedBook = {
...books[bookIndex],
...input
}
books[bookIndex] = updatedBook;
return updatedBook;
},
deleteBook: ({ id }) => {
const bookIndex = books.findIndex(book => book.id === id);
if (bookIndex === -1) return false;
books.splice(bookIndex, 1);
return true;
}
};
3. Testing Mutations
Add a New Book
mutation {
addBook(input: {
title: "1984"
author: "George Orwell"
year: 1949
genre: "Dystopian"
}) {
id
title
author
}
}
Update a Book
mutation {
updateBook(
id: "1"
input: { year: 1926 }
) {
title
year
}
}
Delete a Book
mutation {
deleteBook(id: "2")
}
Best Practices
1. Error Handling
Always handle errors properly in your resolvers:
const root = {
book: ({ id }) => {
const book = books.find(book => book.id === id);
if (!book) {
throw new Error('Book not found');
}
return book;
},
// ... other resolvers
}
2. Data Validation
Validate input data before processing:
const { GraphQLError } = require('graphql');
const root = {
addBook: ({ input }) => {
if (input.year && (input.year < 0 || input.year > new Date().getFullYear() + 1)) {
throw new GraphQLError('Invalid publication year', {
extensions: { code: 'BAD_USER_INPUT' }
}
}
// ... rest of the resolver
}
};
3. N+1 Problem
Use DataLoader to batch and cache database queries:
npm install dataloader
const DataLoader = require('dataloader');
// Create a loader for books
const bookLoader = new DataLoader(async (ids) => {
// This would be a database query in a real app
return ids.map(id => books.find(book => book.id === id));
});
const root = {
book: ({ id }) => bookLoader.load(id),
// ... other resolvers
};
Next Steps
- Connect to a real database (MongoDB, PostgreSQL, etc.)
- Implement authentication and authorization
- Add subscriptions for real-time updates
- Explore Apollo Server for more advanced features
- Learn about schema stitching and federation for microservices
Tip: Always use variables in your GraphQL operations for better reusability and security.
GraphQL Schemas and Types
GraphQL schemas define the structure of your API and the types of data that can be requested.
Type System
GraphQL uses a type system to define the shape of your data. Here are the basic scalar types:
Type | Description | Example |
---|---|---|
Int | Signed 32-bit integer | 42 |
Float | Signed double-precision floating-point value | 3.14 |
String | UTF-8 character sequence | "Hello, GraphQL!" |
Boolean | true or false | true , false |
ID | Unique identifier, serialized as a String | "5f8a8d8e8f8c8d8b8a8e8f8c" |