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Introduction to MongoDB

What is MongoDB?

MongoDB is a NO SQL database which is highly scalable,flexible, memory efficient  and easy to use. Unlike relational databases, it does not use tables to store data. It uses documents and collections to store data. One might wonder how is that useful, it allows each entry in a collection to have a different number of columns with different names so in this way it is more flexible and treats each entry independently .

This architecture allows Mongodb to be more memory efficient . Each database in MongoDb has a set of collections which contain documents which can have it’s own set of fields independent of the collection.

Each document can have a nested document which helps to address the relationship between the fields better.


MongoDB vs SQL

Let’s compare MongoDb with MySQL to get a better idea.


MongoDB is a NoSQL database . It’s schema can change dynamically. It uses Structured query Language and schema is not dynamic, once defined cannot be changed . If changed may affect other entries inside the table too
A database consists of collections which in turn contains  documents as entries. MySQL database consists of various tables which contain rows as entries.
It supports scalability as it has built in support for database replication and sharding. It supports a limited amount of scalability and can be very costly to scale .
It does not support key-based indexing i.e. use of foreign key and primary key. It assigns a separate id to each entry in a collection. Primary key and foreign key can be used for indexing.


Basic operations in  MongoDB


Insert operations in mongodb come in two flavours one to insert a single document (insertOne()) and other to insert more than one entries(insert() or insertMany()).

Note that if a collection does not exist an insert operation will automatically create one.



It is used to insert a single entry in the database.





It can be used to insert a single or multiple documents in the collection





We use a find command  to display records from a collection. It also gives an option to display selected fields from the selected document.




db.Collection_name.find(query, projection)


Query- it can be a valid mongodb query like

{field1:value, field:value2…}

Projection- it decides whether a particular will be displayed(1) or not(0)

Eg. {field1:1 or 0, field2: 1or 0}



We can delete a single record from the collection by using deleteOne() and multiple records by using deleteMany()


It only deletes one record from the collection. If multiple records satisfy the condition(filter) the first one is deleted.


db.Collection_name.deleteOne({field1:value1, field2:value2…})



Deletes all the documents which match the filter .


db.Collection_name.deleteMany({field1:value1, field2:value2…})



Just like the delete operation , update operation in MongoDB is of two types: updateOne() and updateMany() .



It updates a single document from the collection based on the filters.




Filter- It is a document used to select the criteria for update

{field1: value1, field2:value2}

Update: It can be a document or a pipeline to set value or add      fields



It updates all the documents which match the filter.




Filter- It is a document used to select the criteria for update

{field1: value1, field2:value2}

Update: It can be a document or a pipeline to set value or add      fields



In this article we discussed MongoDB, how it is different from SQLand the advantages it has over SQL like scalability. We also learnt how to perform basic operations in MongoDB like insert , delete , update and display.