Welcome to Grantha!

Thank you for exploring S & D Grantha | Database as a Service (DBaaS).

It is a web-based lightweight Database as a Service (DBaaS) application that allows easy and automatic sharing of one of the most popular NoSQL database, MongoDB. It is also a SPA (Single Page Application).

This application is developed using Node.js, Express.js, HTML, CSS, and Vanilla JavaScript. MongoDB is used as a database. The user interface is minimal.

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Background (Why this application was developed?)

I started this project to continue my programming practice. My initial goal was to develop a web application for creating and authenticating MongoDB databases on a local machine. When I was pretty close to my goal, I realized that this application can have a greater use case. This application can be extended to simulate some features of Google Cloud FireStore and MongoDB Atlas.

I deploy all my personal projects on the Cloud and I have extra storage (even the minimum is more than my need) on my Virtual Machines. This might be the case of many developers where the server resources are not being utilized to its full potential. Therefore, I decided to extend this application as a platform for providing Database as a Service (DBaaS).

What is Grantha?

I had a very hard time finding a good name for this application. It was difficult for me to find a name than to develop the project. I even discussed with Deepa but still we could not find anything satisfying. I was about to name it Database as a Service and suddenly I remembered about Bhagavad Gita.

"The Bhagavad Gita, often referred to as the Gita, is a 700-verse Hindu scripture that is part of the epic Mahabharata"
-Wikipedia

I sometimes read Bhagavad Gita to learn about ancient science and to get positive vibes. Bhagavad Gita was initially written in the Sanskrit language. Grantha means Book in Sanskrit and Book is a collection of words. Since this application is a platform for providing Database as a Service, it will be used as a collection of data and records. Hence, the name Grantha fits perfectly.

I have also created and published a package on NPM to access the server resources. The package can be found at https://www.npmjs.com/package/grantha

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Prerequisites:

Node.js:

• Install Node.js on your machine.

MongoDB:

• Install MongoDB on your machine.
• Create Admin Account and Enable Authentication on MongoDB.
• Create a User Database, add a non-admin User Account to the User Database and restart MongoDB.

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Server Installation:

1. Clone this Project.

2. Switch to the Root user.

3. cd to the server directory.

4. Modify the value of KEY, IV, ENCRYPTION_SECRET, TOKEN_SECRET, DB_ADMIN_USER, DB_ADMIN_PASS, DB_USER_DB, DB_USER_USER, DB_USER_PASS on .env file.
   Note: .env file might be hidden.

5. Open terminal/command-prompt and type:

   i. npm install

   ii. npm start

6. Type http://localhost:3000 on your browser's address bar and hit Enter. The server is live.

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API Installation:

• You can use the API from the Client Directory or
• Type npm i grantha to use the account from Grantha Server i.e. https://db.mrsajjal.com
• If you choose to run API from Client Directory, modify the server API Routes on: Client --> app.js

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Installation Summary:

	Server	API
Using Grantha Server	Do Nothing, No need to setup MongoDB	npm i grantha
Using Local Server	Requires Complete Server Installation	Modify server routes on client-->app.js

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Grantha Flow Chart:

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API Functions:

The Grantha API can be used to perform the following operations on Grantha Server:

• Create Records
• Read Records
• Search Records
• Update Records
• Remove Records
• Create Indexes

Installation

npm i grantha

Create a Record on a Collection:

const  db = require("grantha");

const  token = "aab5feca1e9c2770f3a711efe2f2388d1614cb0afe3e04";

const  record = {
         	token: token,
         	collection: "userInfo",
		data: {
			name: "John",
			age: "20",
			},
		};

db.addData(record);

// Adds {name: "John", age: "20"} to the "UserInfo" collection

Get all Records from a Collection:

const  db = require("grantha");

const  token = "aab5feca1e9c2770f3a711efe2f2388d1614cb0afe3e04";

const  record = {
         	token: token,
         	collection: "userInfo",
		};

db.getData(record);

// Returns all records from "UserInfo" collection

Search for Records on a Collection:

const  db = require("grantha");

const  token = "aab5feca1e9c2770f3a711efe2f2388d1614cb0afe3e04";

const  record = {
         	token: token,
         	collection: "userInfo",
		data: {
			age: "20",
			},
		};

db.searchData(record);

// Returns all mathching records where {age: "20"} from "UserInfo" collection

ProTip: You can use any MongoDB find() properties.

Update a Record on a Collection:

const  db = require("grantha");

const  token = "aab5feca1e9c2770f3a711efe2f2388d1614cb0afe3e04";

const  record = {
         token: token,
         collection: "userInfo",
         id:"5f47f18ed1637ce1a3942f72",
	 data: {
		name:"Henry"
		age: "25",
		},
	 };

db.updateData(record);

// Updates record with {id: "5f47f18ed1637ce1a3942f72"} from "UserInfo" collection

Remove a Record from a Collection:

const  db = require("grantha");

const  token = "aab5feca1e9c2770f3a711efe2f2388d1614cb0afe3e04";

const  record = {
         	token: token,
         	collection: "userInfo",
         	id:"5f47f18ed1637ce1a3942f72",
		};

db.removeData(record);

// Removes record with {id: "5f47f18ed1637ce1a3942f72"} from "UserInfo" collection

Create an Index on a Collection:

const  db = require("grantha");

const  token = "aab5feca1e9c2770f3a711efe2f2388d1614cb0afe3e04";

const  record = {
         	token: token,
         	collection: "userInfo",
         	data:{
		      name:1
	             },
		};

db.createIndex(record);

// Creates an Index on "UserInfo" collection with "name" sorted in ascending order.

API Summary:

Here is the summary of all the available functions:

Function	Input	Operation
addData()	token, collection_name, data-to-add	Creates a record on a Collection
getData()	token, collection_name	Returns all records from a Collection
searchData()	token, collection_name, data-to-search	Returns all the matching records from a Collection
updateData()	token, collection_name, record-id, data-to-update	Updates record with given-id on a Collection
removeRecord()	token, collection_name, record-id	Removes record with given-id from a Collection
createIndex()	token, collection_name, index-info	Creates an Index based on index-info on a collection

Note: Input must be a valid JSON.

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Demo:

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With Love,

Sajjal