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 have multiple databases.
Collection
Collection is a group of documents.
Collection is equivalent to RDBMS table.
A collection consists 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.
Big Data and Real-time Application: When dealing with massive datasets or applications requiring real-time data updates, MongoDB’s flexibility and scalability prove advantageous.
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.
Internet of Things (IoT) Applications: Storing and analyzing sensor data with its diverse formats often aligns well with MongoDB’s document structure.
Where to Use MongoDB?
Mobile and Social Infrastructure
Data Hub
Previous Pag
Big Data
User Data Management
Content Management and Delivery
1. Database Commands
View all databases
use dbName
View current Database
db
Delete Database
db.dropDatabase()
2. Collection Commands
Show Collections
show collections
Create a collection named 'comments'
db.createCollection('comments')
Drop a collection named 'comments'
db.comments.drop()
3. Row(Document) Commands
Show all Rows in a Collection
db.comments.find()
Show all Rows in a Collection (Prettified)
db.comments.find().pretty()
Find the first row matching the object
db.comments.findOne({name: 'Harry'})
db.comments.insert({
'name': 'Harry',
'lang': 'JavaScript',
'member_since': 5
})
Insert many Rows
db.comments.insertMany([{
'name': 'Harry',
'lang': 'JavaScript',
'member_since': 5
},
{'name': 'Rohan',
'lang': 'Python',
'member_since': 3
},
{'name': 'Lovish',
'lang': 'Java',
'member_since': 4
}])
Search in a MongoDb Database
db.comments.find({lang:'Python'})
Limit the number of rows in output
db.comments.find().limit(2)
Count the number of rows in the output
db.comments.find().count()
Update a row
db.comments.updateOne({name: 'Shubham'},
{$set: {'name': 'Harry',
'lang': 'JavaScript',
'member_since': 51
}}, {upsert: true})
Mongodb Increment Operator
db.comments.update({name: 'Rohan'},
{$inc:{
member_since: 2
}})
Mongodb Rename Operator
db.comments.update({name: 'Rohan'},
{$rename:{
member_since: 'member'
}})
Delete Row
db.comments.remove({name: 'Harry'})
Less than/Greater than/ Less than or Eq/Greater than or Eq
db.comments.find({member_since: {$lt: 90}})
db.comments.find({member_since: {$lte: 90}})
db.comments.find({member_since: {$gt: 90}})
db.comments.find({member_since: {$gte: 90}})
Stay Tuned for More:
Stay connected on LinkedIn: LinkedIn Profile
Stay up-to-date with GitHub: GitHub Profile
Feel free to reach out to me, if you have any other queries.
Happy learning, MongoDB explorers! 🚢🌐