MongoDB, developed by MongoDB Inc. in 2007 and shifted to open source in 2009, is a popular cross-platform, document-oriented database supporting JSON-like documents with dynamic schemas. It offers features like indexing, sharding for horizontal scaling, and replication for redundancy, while avoiding complex joins and supporting deep-query capabilities. Key operations include easy database management commands and automatic balancing to maintain data distribution across shards.

1. VANDANA
B.Tech CS 3rd yr
Roll No.9072

2.  First developed by the software company
MongoDB Inc. in October 2007 as a
component of a planned platform as a service
product.
 The company shifted to an open source
development model in 2009.
 In just 5 yrs. In 24 AUG. 2015 MongoDB has
evolved into one of the world’s most popular
database.

3.  MongoDB is a cross - platform, Document
oriented database .
 MongoDB supports JSON like documents with
dynamic schemas.
 MongoDB supports indexing.

4. RDBMS MongoDB
Database Database
Table Collection
Tuple/Row Document
Column Field
Table Join Embedded
Documents
Primary Key Primary
Key
(Default key_id
provided by
mongodb itself)

13.  Schema less
 No complex joins
 Deep-Query ability
 Easy to Scale-out
 Uses internal memory for storing working
set

14.  Create database
> use DATABASE_NAME
>use mydb
switched to db mydb
>db
mydb
>show dbs
local 0.78125GB
test 0.23012GB
>db.first.insert({“name”:”my first document”})
>show dbs
local 0.78125GB
mydb 0.23012GB
test 0.23012GB

15.  Drop Database
>use mydb
>db.dropDatabase()
>{“dropped” : ”mydb”, ”ok” : 1}

16. IN MONGODB IN RDBMS

18. In MongoDB In RDBMS

19.  Sharding is a method for storing data across
multiple machines.
 Purpose of sharding is that database with
large data set exceed the storage capacity of
the server.
 So,database have 2 basic approaches:
1.Vertical scaling
2. Sharding

22.  Sharding partitions a collection’s data by
shard key.
 MongoDB divides shard key values into
chunks and distributes chunks evenly across
shards.
 MongoDB uses either Range based
paritioning or hash based partitioning.

25.  The addition of new data can result in data
distribution imbalances within the cluster.
 So to maintain MongoDB ensures two
background processes:
1.Splitting
2.Balancing

26.  Replication provides redundancy and
increases data availability.
.
 There is only one primary database allows
write operation.
.
 Multiple secondary database servers only for
read operation.
.
 Arbiter doesn’t store data. It used during
failover to decide which server will be next
primary server.

28.  Document Oriented Storage
 Disaster Recovery
 Auto – Sharding
 Indexing
 GridFS