Building a GraphQL Server with Node.js and Express
Follow me on Twitter, happy to take your suggestions on topics or improvements /Chris
This article is part of a series on GraphQL:
- Building a GraphQL server using Node.js and Express, we are here
- Building a GraphQL server using Node.js and the Apollo Framework
- Consuming an Apollo GraphQL server using React
GraphQL enables us to build a server that a client can query in any way they want. I’m of course talking about content negotiation, the ability to ask the server exactly for the fields or resources they want, at any depth.
In a previous article Building your first GraphQL Server, I’ve covered what different artifacts and types that make out a GraphQL server. In this article, we will focus more on how to build a service, powered by GraphQL that clients can consume. We will also introduce a playground environment called GraphiQL that gives us a UI in which we can test our queries out.
In this article we will cover:
- why Graphql, Graphql is a nice new technology let's try to cover why it's relevant and why it will make building APIs fun and easy
- building blocks, let's go through the building blocks that you need to build the server side of Graphql
- building a server, we will use Node.js, Express, amd a library called express-graphql to make it possible
- querying, we will cover different ways of querying our server like normal queries, paramterized queries and also how to change data with mutations
Why GraphQL
There are many reasons for choosing GraphQL over REST:
- the data you need, As with all techniques using content negotiation you get the ability to query for just the data you need that means you get exactly the columns you ask for and that keeps the returning answer to a minimum. Especially in todays world with mobile first and 3G/4G connections, keeping the data responses to a minimum in size is a really great thing.
- one endpoint, as soon as you want data specific data from an endpoint you query that specific endpoint. What if the data you need is something you need to puzzle together from more than one endpoint? At that point, you carry out a bunch of calls or build a new endpoint. Regardless of approach you choose, you need to spend time managing and knowing your endpoints. GraphQL shines here as it is just one endpoint.
- serialization, when you call a REST you get the response JSON you get. However, you might need to do some extra massage to your data like renaming columns, for example, to better suit your application. With GraphQL you can specify this in the query itself
- go at depth, normally with REST it's easy a specific thing like an Order. What if you wanted to fetch the Order Items on that Order or even the Products the Customer bough? Most likely you would have to make several calls or make a specific reporting query for this to avoid extra roundtrips. With GraphQL you can query as deep as you need in the Graph and bring out the data you need at any depth. Of course, doing this in an efficient way is one of the bigger challenges with GraphQL, it's not all sunshine and roses. GraphQL is not a silver bullet but it makes life a lot easier
Building blocks
A GraphQL Server consists of the following:
- a schema, the schema defines our entities but also what we can query or call a mutation on
- resolvers, resolver functions talks to a 3rd party API or our database and ends up returning data back to our user
Install dependencies
Let’s start off by installing our needed dependencies. We need the following:
- express, to create our web server
- graphql, to install graphql, our core lib that enables us to leverage graphql
- express-graphql, this library enables us to bind together graphql and express
Express + graphql (only)
Let’s start off by only installing graphql
and express
to understand what that gives us:
npm install express graphql
Thereafter let’s create an express
HTTP server, like so:
// schema.mjs
import {
graphql,
GraphQLSchema,
GraphQLObjectType,
GraphQLString,
GraphQLList
} from "graphql";
let humanType = new GraphQLObjectType({
name: "Human",
fields: () => ({
id: { type: GraphQLString },
description: { type: GraphQLString },
name: { type: GraphQLString }
})
});
import people from "./data/people";
let schema = new GraphQLSchema({
query: new GraphQLObjectType({
name: "RootQueryType",
fields: {
hello: {
type: GraphQLString,
resolve() {
return "world";
}
},
person: {
type: humanType,
resolve() {
return people[0];
}
},
people: {
type: new GraphQLList(humanType),
resolve() {
return people;
}
}
}
})
});
export { graphql };
export default schema;
This is a pretty simple schema that declares hello
, person
and people
as queryable keywords and it also creates humanType
as a custom type.
A short comment on the file ending .mjs
. What we are doing here is to leverage experimental support for ESM/EcmaScript
modules. The way they are currently implemented in NodeJS forces us to have a file ending of .mjs
.
Next up is the app itself that is just a basic express application looking like this:
// app.mjs
import express from "express";
const app = express();
const port = 3000;
import schema, { graphql } from "./schema";
app.get("/", (req, res) => {
let query = `{ hello, person { name }, people { name, description } }`;
graphql(schema, query).then(result => {
res.json(result);
});
});
app.listen(port, () => console.log(`Example app listening on port port!`));
Above we are declaring a default route by calling:
app.get("/", (req, res) => {
});
Then we add the graphql
part by invoking it with parameters schema
and query
, like so:
graphql(schema, query).then(result => {
res.json(result);
});
As we can see above invoking graphql
means we get a promise back and on the then()
callback we are able to see the result from our query. All together we can see how graphql
and express
can interact.
Lastly, to run this we need to specify a start
command in our package.json
file that invokes the experimental support for ESM modules. It needs to look like so:
// excerpt from package.json
"start": "node — experimental-modules app.mjs"
Adding express-graphql
We just showed how we can use express
and graphql
and create a REST api, but we can do this better by adding express-graphql
, so let’s do that as our next thing:
npm install express-graphql
Let’s do something else first, for ourselves, namely, use the buildSchema()
method and set up a schema that way, like so:
var { buildSchema } = require("graphql");
var schema = buildSchema(`
type Product {
name: String,
id: Int
},
type Query {
hello: String,
products: [Product]
}
`);
Above we can see that we define the custom type Product
and we also define our queries being hello
and products
.
We also need some resolver functions with that which we define next:
const getProducts = () => {
return Promise.resolve([{
title: 'Movie'
}]);
}
var root = {
hello: () => {
return "Hello world!";
},
products: () => {
return getProducts();
}
};
Lastly, we are able to clean up our code a bit so our code for starting our server looks like this now:
var graphqlHTTP = require("express-graphql");
app.use(
'/graphql',
graphqlHTTP({
schema: schema,
rootValue: root,
graphiql: true
})
);
That’s it, we don’t actually need to define any routes but we leave that up to graphql. We can see that graphqlHTTP()
is a function that we get from express-graphql
Now we have all the bits in place.
Graphiql
When we called our graphqlHTTP()
function we provided it with a configuration object that had the following properties set:
- schema, our GraphQL schema
- rootValue, our resolver functions
- graphiql, a boolean stating whether to use
graphiql
, we want that so we passtrue
here
Next step is to try out graphiql
which we do by navigating to http://localhost:4000/graphql
and voila, this is what you should be seeing:
Ok great, a visual interface, now what?
Well, now you can start creating Graphql queries. To know what to query for, have a look at what you defined in the schema.
We expect that we will be able to query for hello
and products
as we set those up in our schema. So let’s do that:
Ok then, you should be seeing the above by hitting the play
icon. As you can see this is a very useful tool to debug your queries but it can also be used to debug your mutations.
Parameterized query
Let’s try to write a query with parameters in graphiql:
Above we can see how we define our query by using the keyword query
. Thereafter we give it a name Query
followed by a parenthesis. Within the parenthesis, we have the input parameter that we denote with $
character. In this case, we call our parameter id
, which means its full name is $id
. Let’s look at what we got:
query Query($id: Int!) {
// our actual query
}
Now it’s time to write our actual query, so let’s do that next:
product(id: $id) {
name
}
As you can see we use the $id
from our query construction and the full result looks like this:
query Query($id: Int!) {
product(id: $id) {
name
}
}
NOTE: at the bottom of the screen we have a section called
query variables
that lets us define variables we want to use as input. So when we define something as$name_of_variable
it will look into thequery variables
section
calling a Mutation
To invoke a mutation we need the mutation
keyword. Let’s create our mutation invocation next:
mutation MyMutation {
addProduct(name: "product", description: "description of a product")
}
NOTE: if we return a complex object we need to select what columns we want, like so
mutation MyMutation {
addProduct(name: "product", description: "description of a product"){
col1,
col2
}
}
Summary
To build an API we have used the NPM libraries express
, graphql
. However, by adding express-graphql
we have gained access to a visual environment called graphiql
that enables us to pose queries and run mutations so we can verify that our API works as intended
If you want to look at an existing repo, have a look here Demo repo
Follow me on Twitter, happy to take your suggestions on topics or improvements /Chris
Top comments (5)
Hey.. Where is getProducts() defined ?
hi Ian
I've updated the code. You can either add it in a separate file but as you are starting you are likely to have it with the resolver
Thank you
Great Article Chris to start with GraphQL! I'm curious about server side performances between Rest API and GraphQL based on the same database and infrastructure.
It's worth looking into the N+1 problem with GraphQL. You need to look at how many depths you want to support when it comes to nested queries. itnext.io/what-is-the-n-1-problem-...
You also need to ask yourself do I need this negotiation? For me, GraphQL is there for a specific set of problems, to co-exist with REST endpoints. It makes sense to look into GraphQL when you need a layer on top of a lot of different types of data sources. When it comes to performance it really depends on what you query for, it lies in the query itself when you compare it to REST. The biggest thing GraphQL gives you is stopping over fetching, a lot smaller data payloads are coming back compared to REST (I mean you could be in control of the REST endpoint but sometimes you aren't)