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MongoDB Tutorial

Home Data Science Data Science Tutorials MongoDB Tutorial

Basics

What is MongoDB?

How To Install MongoDB

MongoDB Tools

MongoDB GUI Tools

MongoDB Versions

MongoDB Commands

Advantages of MongoDB

MongoDB Features

Is MongoDB NoSQL

Is MongoDB Open Source

How to Build Web Applications using MongoDB

MongoDB Data Types

MongoDB Administration

Data Modeling in MongoDB

MongoDB vs Elasticsearch

MariaDB vs MongoDB

Firebase vs MongoDB

Commands

Mongodb updateMany

MongoDB Aggregation

Mongodb unwind

Mongodb where

MongoDB BSON

MongoDB Filter

Mongodb Match

MongoDB sort by date

MongoDB Limit()

MongoDB Atlas Login

MongoDB Relational Database

MongoDB count

MongoDB Aggregate

MongoDB Distinct

MongoDB Unique

MongoDB find

MongoDB findOne()

MongoDB insert

MongoDB Delete

MongoDB Update

Lookup in MongoDB

order by in MongoDB

MongoDB $regex

MongoDB $elemMatch

MongoDB ObjectId()

MongoDB Skip()

MongoDB findAndModify

Mongodb findOneAndUpdate

MongoDB Date Query

MongoDB Timestamp

MongoDB sort()

MongoDB group by

MongoDB Join

Advanced

MongoDB Array

PostgreSQL ARRAY_AGG()

Indexes in MongoDB

MongoDB create Index

MongoDB Collection

MongoDB List Collections

MongoDB Capped Collections

MongoDB Delete Collection

Mongodb show collections

MongoDB Auto Increment

MongoDB Triggers

MongoDB Projection

Replication in MongoDB

MongoDB Database

MongoDB Create Database

MongoDB Compass

MongoDB Users

MongoDB Authentication

MongoDB GridFS

MongoDB Relationships

MongoDB MapReduce

MongoDB Geospatial

MongoDB Monitoring

Backup in MongoDB

MongoDB Sharding

MongoDB Java Drivers

MongoDB Import

Mongo Database Interview Questions

MongoDB Join Two Collections

MongoDB Group by Multiple Fields

MongoDB Pagination

MongoDB Replica Set

MongoDB Bulk Update

MongoDB greater than

MongoDB Encryption

MongoDB find in array

MongoDB like query

Mongodb shell

MongoDB port

MongoDB Query Operators

MongoDB Web Interface

MongoDB Query Array

MongoDB Transactions

MongoDB Not In

MongoDB not null

MongoDB npm

MongoDB Remove

MongoDB Tutorial and Resources

MongoDB is a document-based database. people call it SQL because it is not a SQL-based database,, or we do not have to write sql queries. Instead, to search or fetch, we can write a regex query. MongoDB stores data in a JSON-like format called BSON. It supports Indexing, Load Balancing, and Sharding. In MongoDB, there are collections to store similar or different data. Because of its storage of JSON-like format after fetching data by server-side language from MongoDB, it need not be required to convert it again into JSON format.

Why do we need to learn MongoDB?

There are multiple reasons why we should learn MongoDB

  • First thing, we can easily install and run our system.
  • Since MongoDB does not have any schema, we do not have to worry about the schema of our MongoDB; when we run our code according to the fields, we insert that many records will be created in the MongoDB collection Which also reduces memory size.
  • Because it holds data in the BSON(Binay JSON), it’s very fast in serving data to a server, as a server is directly getting data that it needs instead of parsing and sending it to the client-side.
  • Because of document query support, it is a great dynamic query.
  • We can scale MongoDB easily.
  • We do not have to worry about complex JOIN queries like SQL.
  • Because of NoSQL, we do not have to worry about sql injection, so less security problems.
  • We can achieve load balancing very easily in MongoDB.
  • We can do searching in MongoDB by regex and fields.
  • We can use MongoDB as a windows service.
  • VM is not required to run MongoDB.
  • Support for Sharding is available in MongoDB.
Note: Sharding is a way to store data. In this case, if data size grows, it can be scaled here; scaling happens horizontally. In simple words, if one machine cannot hold data,, we can use multiple machines for it.

Applications of MongoDB

MongoDB mostly used in Web applications to store data. It is Mostly and highly used by express JS, NodJS, and AngularJS because Node JS is Javascript, and we know Javascript is more comfortable with JSON, and we know MongoDB is Already JSON.

Example

Let me explain one short example of fetching data from MongoDB collection. Suppose our collection name issues. In the below example, we are fetching data from a collection called issues, and we used the pretty() function to display data in a better format.

db.issues.find({}).pretty()
Output :
{
"_id" : ObjectId("5da83b2f8cd630aadaa38806"),
"status" : "Open",
"owner" : "Ravan",
"created" : ISODate("2016-08-15T00:00:00Z"),
"effort" : 5,
"completionDate" : undefined,
"title" : "Error in console when clicking Add"
}
{
"_id" : ObjectId("5da83b2f8cd630aadaa38807"),
"status" : "Assigned",
"owner" : "Eddie",
"created" : ISODate("2016-08-16T00:00:00Z"),
"effort" : 14,
"completionDate" : ISODate("2016-08-30T00:00:00Z"),
"title" : "Missing bottom border on panel"
}
{
"_id" : ObjectId("5da83dde93c7770c2beb6d57"),
"owner" : "Ravan",
"title" : "buy some cookies",
"status" : "Open",
"created" : ISODate("2019-10-17T10:09:34.294Z"),
"completionDate" : ISODate("2019-12-08T18:30:00Z"),
"effort" : 1
}

Output:

pretty() function to display data

Prerequisites

So to learn MongoDB, you do not need to know the SQL query, you need to have a basic understanding of data and regex operations.

Target Audience

There would be two targets Audience given below:

Database Admin: A database Admin can deal with creating new users, granting some access to those users, checking performance, and scaling MongoDB.
Web Developer: A web Developer can store data which it is getting from various sources and also displaying stored data to various end-users and for scripting.

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