GraphqlV4

Description

This project is a GraphQL API built with Apollo Server and TypeScript. It demonstrates how to define schemas, implement resolvers, and handle queries and mutations efficiently.

here is the link to the project repo:

Technologies used

Apollo Server
GraphQL
TypeScript
Node.js

note: if i forgot to mention some packages try to look at the package.json file

Installation 🛠️

1. Clone the repository:
git clone https://github.com/nicklm0/graphqlv_4

2. go to the project directory
$ cd graphqlv_4

3. go final answer branch
$ git checkout final_answer

to install the types.ts
$ npm run generate

4. Install dependencies:
# Install dependencies
$ npm install

5. run the development server:
$ npm run dev

The server will run at http://localhost:4000.

My Journey with Apollo GraphQL: What I Learned

GraphQL has always intrigued me, but diving into Apollo GraphQL gave me a hands-on understanding of how it simplifies API development. In this project, I’ll share what I learned while building a GraphQL server with Apollo.

Setting Up Apollo GraphQL

Getting started with Apollo GraphQL requires setting up a server. The process involves installing the necessary dependencies and configuring the server. Here’s a simple way to initialize a project:

npm init --yes && npm pkg set type="module"
npm install @apollo/server graphql

From there, I created a basic Apollo Server instance and defined a schema.

Understanding GraphQL Schemas and Resolvers

A schema is the backbone of any GraphQL API. It defines the structure of data and how queries/mutations interact with it. I learned how to create type definitions and set up resolvers to handle requests.

Example schema:

type Query {
  greeting: String
}

And its corresponding resolver:

const resolvers = {
  Query: {
    greeting: () => "Hello, GraphQL!"
  }
};

Exploring Mutations and Scalars

Mutations allow modifying data, and I learned how to structure them properly. Additionally, GraphQL comes with built-in scalar types like String, Int, and Boolean, which help define the data structure.

Example mutation:

type Mutation {
  addUser(name: String!): User
}

Resolvers for handling the mutation:

const resolvers = {
  Mutation: {
    addUser: (_, { name }) => ({ id: Date.now(), name })
  }
};

Key Takeaways

Apollo Server simplifies GraphQL API development with built-in tools and middleware support.
Schemas and resolvers define how data is structured and fetched in GraphQL.
Mutations and scalars help modify and validate data efficiently.
GraphQL provides flexibility and reduces over fetching of data, making it a powerful alternative to REST APIs.

nicklm0/graphqlv_4

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