MongoDB Tutorial
MongoDB is a most used cross-platform, document oriented database that provides, high availability, high performance and easy scalability. MongoDB works on concept of collection and document 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.
MongoDB is a most used cross-platform, document oriented database that provides, high availability, high performance and easy scalability. MongoDB works on concept of collection and document 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.
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.
- 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.
- 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.
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
- 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).
Table of Content
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).
Table of Content
Section 1: Introduction
Section 2: Installation
Section 3: Basics of MongoDB
Section 4: MongoDB Methods
- MongoDB – Insert() Method
- MongoDB – insertOne() Method
- MongoDB – insertMany() Method
- MongoDB – Bulk.insert() Method
- MongoDB – bulkWrite() Method
- MongoDB – Update() Method
- MongoDB – updateOne() Method
- MongoDB – updateMany() Method
- MongoDB – Find() Method
- MongoDB – FindAndModify() Method
- MongoDB – FindOne() Method
- MongoDB – findOneAndDelete() Method
- MongoDB – findOneAndReplace() Method
- MongoDB – findOneAndUpdate() Method
- MongoDB – sort() Method
- MongoDB – copyTo() Method
- MongoDB – count() Method
- MongoDB – countDocuments() Method
- MongoDB – drop() Method
- MongoDB – Remove() Method
- MongoDB – deleteOne() Method
- MongoDB – Distinct() Method
- MongoDB – limit() Method
- MongoDB – skip() Method
- MongoDB – ObjectID() Function
- MongoDB – CreateIndex() Method
- MongoDB – CreateIndexes() Method
- MongoDB – getIndexes() Method
- MongoDB – dropIndex() Method
- MongoDB – dropIndexes() Method
- MongoDB – Insert() Method
- MongoDB – insertOne() Method
- MongoDB – insertMany() Method
- MongoDB – Bulk.insert() Method
- MongoDB – bulkWrite() Method
- MongoDB – Update() Method
- MongoDB – updateOne() Method
- MongoDB – updateMany() Method
- MongoDB – Find() Method
- MongoDB – FindAndModify() Method
- MongoDB – FindOne() Method
- MongoDB – findOneAndDelete() Method
- MongoDB – findOneAndReplace() Method
- MongoDB – findOneAndUpdate() Method
- MongoDB – sort() Method
- MongoDB – copyTo() Method
- MongoDB – count() Method
- MongoDB – countDocuments() Method
- MongoDB – drop() Method
- MongoDB – Remove() Method
- MongoDB – deleteOne() Method
- MongoDB – Distinct() Method
- MongoDB – limit() Method
- MongoDB – skip() Method
- MongoDB – ObjectID() Function
- MongoDB – CreateIndex() Method
- MongoDB – CreateIndexes() Method
- MongoDB – getIndexes() Method
- MongoDB – dropIndex() Method
- MongoDB – dropIndexes() Method
Section 5: 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
- MongoDB – Less than equals to Operator $lte
- MongoDB – Greater than equals to Operator $gte
- MongoDB – Inequality Operator $ne
- MongoDB $in Operator
- MongoDB – $nin Operator
- MongoDB – Comparison Query Operators
- MongoDB $cmp Operator
- MongoDB – Greater than Operator $gt
- MongoDB – Less than Operator $lt
- MongoDB – Equality Operator $eq
- MongoDB – Less than equals to Operator $lte
- MongoDB – Greater than equals to Operator $gte
- MongoDB – Inequality Operator $ne
- MongoDB $in Operator
- MongoDB – $nin Operator
Logical Operators
Arithmetic Operators
- MongoDB $add Operator
- MongoDB $subtract Operator
- MongoDB $multiply Operator
- MongoDB $divide Operator
- MongoDB $abs Operator
- MongoDB $floor Operator
- MongoDB $ceil Operator
- MongoDB $mod Operator
- MongoDB $sqrt Operator
- MongoDB $pow Operator
- MongoDB $exp Operator
- MongoDB $log Operator
- MongoDB $log10 Operator
- MongoDB $ln Operator
- MongoDB $add Operator
- MongoDB $subtract Operator
- MongoDB $multiply Operator
- MongoDB $divide Operator
- MongoDB $abs Operator
- MongoDB $floor Operator
- MongoDB $ceil Operator
- MongoDB $mod Operator
- MongoDB $sqrt Operator
- MongoDB $pow Operator
- MongoDB $exp Operator
- MongoDB $log Operator
- MongoDB $log10 Operator
- MongoDB $ln 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 ($rename)
- MongoDB – Current Date Operator ($currentDate)
- MongoDB – SetOnInsert Operator ($setOnInsert)
- MongoDB Bitwise Update Operator
- MongoDB – Field Update Operators
- MongoDB – Maximum operator ( $max )
- MongoDB – Minimum operator ( $min )
- MongoDB – Increment Operator ( $inc )
- MongoDB – Multiply Operator ($mul)
- MongoDB – Rename Operator ($rename)
- MongoDB – Current Date Operator ($currentDate)
- MongoDB – SetOnInsert Operator ($setOnInsert)
- MongoDB Bitwise Update Operator
Array Expression Operators
Array Update Operators
String Expression Operators
Section 6: Working with Documents and Collections
- Defining, Creating, and Dropping a MongoDB collection
- Adding and Querying the data in MongoDB
- How to Create Database & Collection in MongoDB
- MongoDB – Query Documents using Mongo Shell
- MongoDB – Insert Single Document Using MongoShell
- MongoDB – Insert Multiple Document Using MongoShell
- MongoDB – Update Single Document Using MongoShell
- MongoDB – Update Multiple Documents Using MongoShell
- MongoDB – Replace Documents Using MongoShell
- MongoDB – Delete Single Document Using MongoShell
- MongoDB – Delete Multiple Documents Using MongoShell
- MongoDB – Check the existence of the fields in the specified collection
- Sorting Documents in MongoDB
- Capped Collections in MongoDB
- Create a Relationship in MongoDB
- Search Text in MongoDB
- MongoDB – Map Reduce
- MongoDB – Upsert
- Defining, Creating, and Dropping a MongoDB collection
- Adding and Querying the data in MongoDB
- How to Create Database & Collection in MongoDB
- MongoDB – Query Documents using Mongo Shell
- MongoDB – Insert Single Document Using MongoShell
- MongoDB – Insert Multiple Document Using MongoShell
- MongoDB – Update Single Document Using MongoShell
- MongoDB – Update Multiple Documents Using MongoShell
- MongoDB – Replace Documents Using MongoShell
- MongoDB – Delete Single Document Using MongoShell
- MongoDB – Delete Multiple Documents Using MongoShell
- MongoDB – Check the existence of the fields in the specified collection
- Sorting Documents in MongoDB
- Capped Collections in MongoDB
- Create a Relationship in MongoDB
- Search Text in MongoDB
- MongoDB – Map Reduce
- MongoDB – Upsert
Section 7: Indexing in MongoDB
Section 8: MongoDB Advance
- Export data from MongoDB
- Import data to MongoDB
- MongoDB – Regex
- MongoDB Projection
- MongoDB – Embedded Documents
- MongoDB – Query Embedded Documents Using Mongo Shell
- Aggregation in MongoDB
- How to Enable Authentication on MongoDB?
- Create a user and add a role in MongoDB
- MongoDB – Replication and Sharding
- MongoDB – Backup and Restoration
- Export data from MongoDB
- Import data to MongoDB
- MongoDB – Regex
- MongoDB Projection
- MongoDB – Embedded Documents
- MongoDB – Query Embedded Documents Using Mongo Shell
- Aggregation in MongoDB
- How to Enable Authentication on MongoDB?
- Create a user and add a role in MongoDB
- MongoDB – Replication and Sharding
- MongoDB – Backup and Restoration
MongoDB Applications and Projects
Features of MongoDB:-
There are five main features of MongoDB –
- MongoDB is a Flexible database with Ad-hoc query support.
- MongoDB offers a broad range of Indices, which can be created on demand.
- MongoDB provides replica sets that provide disaster recovery and it also helps with load balancing.
- Sharding in MongoDB allows for better horizontal scalability by splitting large datasets across multiple distributed collections.
- MongoDB supports large-scale load balancing through horizontal scaling features like replication and sharding.
There are five main features of MongoDB –
- MongoDB is a Flexible database with Ad-hoc query support.
- MongoDB offers a broad range of Indices, which can be created on demand.
- MongoDB provides replica sets that provide disaster recovery and it also helps with load balancing.
- Sharding in MongoDB allows for better horizontal scalability by splitting large datasets across multiple distributed collections.
- 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.
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.
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.
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
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.
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.
