Graphql Mongodb Example

screenshot of Graphql Mongodb Example
express
react

An example of Express and MongoDB with Relay and GraphQL working together

Overview

The graphql-mongodb-example project is an example demonstrating how to work with an Express app using GraphQL and MongoDB persistence. Written in ES6, this project showcases creating a GraphQL API without any user interface, focusing on the backend logic.

Features

  • Express App: Built using Express framework for handling HTTP requests and responses.
  • GraphQL Integration: Demonstrates integration of GraphQL for defining queries and mutations.
  • MongoDB Persistence: Utilizes MongoDB as the database for data storage.
  • Query and Mutation Separation: Clearly separates queries (GET requests) from mutations (POST, DELETE, PUT requests).
  • Modular Structure: Organized into separate files for models, queries, mutations, and types for maintainability.
  • Schema Definition: Defines GraphQL schema configuration in a dedicated file for clarity.
  • User Model: Implements a User model using Mongoose schema for MongoDB interaction.

Summary

The graphql-mongodb-example is a demonstration project showcasing the integration of Express, GraphQL, and MongoDB to create a backend API. The project emphasizes the separation of queries and mutations, modular file structure, and schema definition for a clear and organized codebase. By following the installation guide and exploring the provided examples, users can gain insights into building GraphQL APIs with MongoDB persistence in an ES6 environment.

express
Express

Express.js is a simple Node.js framework for single, multi-page, and hybrid web applications.

react
React

React is a widely used JavaScript library for building user interfaces and single-page applications. It follows a component-based architecture and uses a virtual DOM to efficiently update and render UI components

graphql
Graphql

A website that uses GraphQL as a query language to manage data fetching and state management. This includes features such as a strongly typed schema, client-side caching, and declarative data fetching to streamline data management and optimize website performance.