MongoDB Tutorial

MongoDB is the most used cross-platform, document-oriented database that provides, high availability, high performance, and easy scalability. MongoDB works on the concept of collecting and documenting the data.

This MongoDB Tutorial is designed for both beginners and experienced professionals. It aims to guide you through the fundamentals and help you get started with MongoDB, a flexible document-oriented database.

This tutorial aims at providing in-depth information about MongoDB with the help of a huge dataset containing basic commands like insert, update, and delete to advance features like authentication, backup, and storage, connecting the Django projects with MongoDB, etc. So let’s get dive straight into the tutorial.

What is MongoDB?

MongoDB is a document-oriented NoSQL database system that provides high scalability, flexibility, and performance. Unlike standard relational databases, MongoDB stores data in a JSON document structure form. This makes it easy to operate with dynamic and unstructured data and MongoDB is an open-source and cross-platform database System.

Database

• Database is a container for collections.
• Each database gets its own set of files.
• A single MongoDB server can has multiple databases.

Collection

• Collection is a group of documents.
• Collection is equivalent to RDBMS table.
• A collection consist inside a single database.
• Collections do not enforce a schema.
• A Collection can have different fields within a Documents.

Why Use MongoDB?

Document Oriented Storage − Data is stored in the form of JSON documents.

• Index on any attribute: Indexing in MongoDB allows for faster data retrieval by creating a searchable structure on selected attributes, optimizing query performance.
• Replication and high availability: MongoDB’s replica sets ensure data redundancy by maintaining multiple copies of the data, providing fault tolerance and continuous availability even in case of server failures.
• Auto-Sharding: Auto-sharding in MongoDB automatically distributes data across multiple servers, enabling horizontal scaling and efficient handling of large datasets.
• Rich queries: MongoDB supports complex queries with a variety of operators, allowing you to retrieve, filter, and manipulate data in a flexible and powerful manner.
• Fast in-place updates: MongoDB efficiently updates documents directly in their place, minimizing data movement and reducing write overhead.
• Professional support by MongoDB: MongoDB offers expert technical support and resources to help users with any issues or challenges they may encounter during their database operations.

Where to Use MongoDB?

• Mobile and Social Infrastructure
• Data Hub
• Previous Pag
• Big Data
• User Data Management
• Content Management and Delivery

Prerequisites

Before you go to study MongoDB, it is suitable if you have some prior knowledge of Databases, Frontend development, Text editor and execution of programs, etc. It will be beneficial if you have a basic understanding of database fundamentals because we’ll be developing high-performance databases (RDBMS).

Section 1: Introduction to MongoDB

• Introduction to NoSQL
• Types of NoSQL Databases
• Introduction to MongoDB
• How MongoDB works?
• MongoDB vs RDBMS
• MongoDB vs MySQL

Section 2: Installation and Setup

• How to Install MongoDB on Windows?
• How to install MongoDB on MacOS?
• How to Install and Configure MongoDB in Ubuntu?
• How to Install MongoDB Compass on Windows
• How to Install MongoDB Atlas?

Section 3: Basics of MongoDB

• MongoDB – Database, Collection, and Document
• MongoDB Cursor
• DataTypes in MongoDB
• What is ObjectId in MongoDB
• What is a MongoDB Query?
• Introduction to JSON
• Introduction to BSON and Types

Section 4: Tools and Interfaces

• MongoDB Atlas
• MongoDB Compass
• What is MongoDB Shell

Section 5: CRUD Operations in MongoDB

• CRUD Operations in MongoDB
• MongoDB – Create Database
• MongoDB – Drop Database
• MongoDB – Create Collection
• MongoDB – Drop Collection
• Create Database using MongoDB Compass
• Create Database using MongoShell

Insert Operations

• MongoDB Insert() Methods
• MongoDB InsertOne() Methods
• MongoDB InsertMany() Methods

Update Operations

• MongoDB Update() Methods
• MongoDB UpdateOne() Methods
• MongoDB UpdateMany() Methods
• MongoDB replaceone() Methods

Delete Operations

• Delete Single Document Using MongoShell
• Delete Multiple Document Using MongoShell
• Delete Database using MongoShell
• MongoDB deleteone() Method

Query Operations

• Query on Embedded/Nested Documents
• Query an Array
• Query for Null or Missing Fields
• MongoDB Find() Method
• MongoDB FindOne() Method
• MongoDB FindAndModify() Method
• MongoDB FindOneAndDelete() Method
• MongoDB FindOneAndUpdate() Method
• MongoDB FindOneAndReplace() Method
• Query and Projection Operators

Section 6: MongoDB Operators

Comparison Operators

• MongoDB – Comparison Query Operators
• MongoDB $cmp Operator
• MongoDB – Greater than Operator $gt
• MongoDB – Less than Operator $lt
• MongoDB – Equality Operator $eq

Logical Operators

• MongoDB – Logical Query Operators
• MongoDB AND operator ( $and )
• MongoDB OR operator ( $or )
• MongoDB NOT operator ( $not )
• MongoDB NOR operator ( $nor )

Arithmetic Operators

• MongoDB $add Operator
• MongoDB $subtract Operator
• MongoDB $multiply Operator
• MongoDB $divide Operator
• MongoDB $abs Operator
• MongoDB $floor Operator

Field Update Operators

• MongoDB – Field Update Operators
• MongoDB – Maximum operator ( $max )
• MongoDB – Minimum operator ( $min )
• MongoDB – Increment Operator ( $inc )
• MongoDB – Multiply Operator ($mul)
• MongoDB – Rename Operator ($rename)

Array Expression Operators

• MongoDB $isArray Operator
• MongoDB $size Operator
• MongoDB $arrayElemAt Operator
• MongoDB $concatArrays Operator
• MongoDB $reverseArray Operator

Array Update Operators

• MongoDB – $pull Operator
• MongoDB – $pop Operator
• MongoDB – $pullAll Operator
• MongoDB – $push Operator
• MongoDB – Positional Operator ($)
• MongoDB – All Positional Operator ($[])

String Expression Operators

• MongoDB $concat Operator
• MongoDB $strcasecmp Operator
• MongoDB $toUpper Operator
• MongoDB $toLower Operator
• $substrCP (aggregation) operator in MongoDB

Section 7: Aggregation

• MongoDB Aggregation
• Updates with Aggregation Pipeline
• Aggregation Pipeline Stages
• Aggregation Pipeline Optimization
• Aggregation Pipeline Limits
• Aggregation Commands
• MongoDB Aggregation $out
• mongodb aggregation $count
• MongoDB Aggregation $group
• mongodb aggregation $lookup
• mongodb aggregation $first
• Map-Reduce

Section 8: Indexing

• Create an Index
• Get an Index
• Drop an Index
• Index Types
• Single Field Indexes
• Compound Indexes
• Multikey Indexes
• Text Indexes
• Unique Indexes

Section 9: Transactions and Data Modeling

• Transactions in MongoDB
• ACID Transactions in MongoDB
• Transactions in Mongoose
• Data Modeling
• MongoDB – Relationships
• Embedding Data in Documents
• Specify JSON Schema Validation
• Scaling in MongoDB

Section 10: Replication and Sharding

• MongoDB Replication
• MongoDB Sharding
• Change Streams
• Replica Set Members
• Replica Set Deployment
• Sharded Cluster Components
• Shard Keys
• Hashed Sharding
• Ranged Sharding
• Replica Set Read and Write Semantics
• Sharding Deployment Architectures

Section 11: Security

• How to Secure the MongoDB Database
• How to Enable Access Control & Authentication in MongoDB
• How to Enable Authentication on MongoDB
• Configure Role-Based Access Control in MongoDB

MongoDB Applications and Projects

• Nodejs – Connect MongoDB with Node app using MongooseJS
• Signup Form Using Nodejs and MongoDB
• Login form using Node.js and MongoDB
• Connect Django Project to MongoDB using Django

Features of MongoDB

There are five main features of MongoDB – 

1. MongoDB is a Flexible database with Ad-hoc query support.
2. MongoDB offers a broad range of Indices, which can be created on demand.
3. MongoDB provides replica sets that provide disaster recovery and it also helps with load balancing.
4. Sharding in MongoDB allows for better horizontal scalability by splitting large datasets across multiple distributed collections.
5. MongoDB supports large-scale load balancing through horizontal scaling features like replication and sharding.

Conclusion

This concise MongoDB tutorial covers the essentials of this NoSQL database. Explore its document-oriented structure, scalability features like replication and sharding, and basic commands such as insert and create. Learn advanced concepts like Regex, Projection, Aggregation, Backup, and Restoration. Connect MongoDB with Node applications and integrate it into Django projects. Gain a solid foundation in MongoDB for effective database management.

FAQs on MongoDB Tutorial

Q1. What are some advantages of using MongoDB?

MongoDB is flexible in use, Scalable, and can handle unstructured data. It has the capability to perform complex queries. MongoDB is well suited for Agile development and it is easy to use.

Q2. What Programming languages can be used in MongoDB?

Many programming languages including Java, Python, Ruby, and Nodejs used in MongoDB to handle data.

Q3. What is a document-oriented database?

Data is stored in documents, which are similar to JSON objects and it can be done by a document-oriented database. Each document can have its own unique structure and can contain nested data accordingly

Q4. Is MongoDB open-source?

MongoDB is an open-source database and it is document oriented ,builts on a horizontal scale-out architecture that uses a flexible schema for storing large amount of data.