How To Deploy a json-server on render
A short step by step by step guide to creating a JSON-DB server and deploying it on render
json-server is a tool for creating mock REST API fast! To get started, ensure you have the following requirements:
NodeJS (npm)
Let's get started!
On an empty folder, initiate a nodejs application by running the following on your terminal/CMD:
npm init -y
Once that is complete, you install the following packages:
`
json-server
json-serve
cors
`
npm install json-server json-serve cors
After the installation, create a new file: index.js. This is the entry point for the json-serve. Add the following inside the file:
`
const jsonServer = require("json-server"); // importing json-server library
const server = jsonServer.create();
const router = jsonServer.router("db.json");
const middlewares = jsonServer.defaults();
const port = process.env.PORT || 3001; // you can use any port number here; i chose to use 3001
server.use(middlewares);
server.use(router);
server.listen(port);
`
In the code above, a server has been created that will be fetching and updating data from a json file, db.json
In the project root, create a new file: db.json and add the following:
{
"feedback": [
{
"id": 1,
"rating": 10,
"user_name": "Tony Stark",
"text": "You are the ironman of this world"
},
{
"id": 2,
"rating": 9,
"user_name": "Bruce Wayne",
"text": "You are the batman of this world"
},
{
"id": 3,
"rating": 8,
"user_name": "Peter Parker",
"text": "You are the spiderman of this world"
}
]
}
The mock server is ready to run, but let's add some scripts in package.json:
Update the "scripts" to:
"scripts": {
"start": "node index.js"
},
Deploy On Render :-
Go To Site :- https://dashboard.render.com/
Select Web Services
Connect with Github
Go to Github create new repo
Clone this repo and create all files and installation of json-server all are mentioned in above.
push all the code on Github
Go To Render And Select Github Repo where push all json-server code
Click on create Web Service Button below
and wait few minutes for progress and enjoy
Hopefully this article useful for you , happy coding! || Like this article ♥
The above is the detailed content of How To Deploy a json-server on render. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

The main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.

JavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.

Understanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

C and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.

Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.
