Mongo DB: Fundamentals & Basics/ An Overview of MongoDB/ Mongo DB tutorials

Mongo DB: Fundamentals & Basics
By Pawan

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What is MongoDB
 MongoDB is an open-source document database and leading NoSQL database
 Schema less
 Stores JSON objects
 document oriented database that provides
 high performance
 high availability
 easy scalability
7/28/2016Pawan Tiwari

Why MongoDB
 Document Oriented Storage: Data is stored in the form of JSON style
documents.
 Index on any attribute
 Geo Location support
 Replication and high availability
 Auto-sharding
 Rich queries
 Fast in-place updates
 Professional support by MongoDB

MongoDB Overview
 Database
 Physical Container of Collection
 Collections
 Collection is a group of MongoDB documents
 equivalent of an RDBMS table
 Collections do not enforce a schema.
 Document
 set of key-value pairs.
 Documents have dynamic schema

RDBMS and MongoDB
 Database  Database
 Table  Collection
 Row  Document
 Column  Field

Sample Document
{
_id: ObjectId(7df78ad8902c)
a: ‘1’,
b: ‘2’
}

Advantages of MongoDB
 Schema less
 Structure of a single object is clear.
 No complex joins.
 Supports dynamic queries on documents using a document-based query
language that's nearly as powerful as SQL.
 Tuning.
 Ease of scale-out: MongoDB is easy to scale.
 Conversion/mapping of application objects to database objects not needed.
 Uses internal memory for storing the (windowed) working set, enabling faster
access of data

Create Collection
 Db.createcollection(“collection_name” Options)
 Example:
MongoDB shell version: 2.4.14
connecting to: test
> show dbs
local 0.078125GB
test 0.203125GB
> use test
switched to db test
> db.createCollection("test_collection")
{ "ok" : 1 }
>

Drop Collection
 db.COLLECTION_NAME.drop()
MongoDB shell version: 2.4.14
connecting to: test
> show collections
system.indexes
test_collection
> db.test_collection.drop()
true

Insert Document
 db.COLLECTION_NAME.insert(document)
>db.test_collection.insert({
title: 'MongoDB Webinar',
description: 'MongoDB is a high-performance, open source, schema- free,
document/object-oriented database optimized for web application environments, and
is perhaps one of the most disruptive software technologies in years. MongoDB will
fundamentally change the way participants think about data persistence. In this
webinar know the fundamentals of designing and building applications using
MongoDB',
by: 'SpringPeople',
url: 'http://www.springpeople.com/webinars/mongodb-developer-fundamentals-and-
basics',
})

Query Document
 db.COLLECTION_NAME.find(document)
Example:
>db.test_collection.find()
>db.test_collection.find().pretty()
>db.test_collection.find({"title" : "MongoDB Webinar"})
> db.test_collection.find({"title" : "MongoDB Webinar"},{"by":1}).pretty()
{ "_id" : ObjectId("5791d58760a74da5b3e51eb9"), "by" : "SpringPeople" }
> db.test_collection.find({"title" : "MongoDB Webinar"},{"by":1,_id:0}).pretty()
{ "by" : "SpringPeople" }

SQL vs Mongodb
SQL SELECT Statements MongoDB find() Statements
SELECT * FROM users db.users.find()
SELECT id, user_id, status FROM users db.users.find( { }, { user_id: 1, status: 1 } )
SELECT user_id, status FROM users db.users.find( { }, { user_id: 1, status: 1, _id: 0 } )
SELECT * FROM users WHERE status = "A" db.users.find( { status: "A" } )
SELECT user_id, status FROM users WHERE status = "A" db.users.find( { status: "A" }, { user_id: 1, status: 1, _id: 0 } )
SELECT * FROM users WHERE status != "A" db.users.find( { status: { $ne: "A" } } )
SELECT * FROM users WHERE status = "A" AND age = 50 db.users.find( { status: "A", age: 50 } )
SELECT * FROM users WHERE status = "A" OR age = 50 db.users.find( { $or: [ { status: "A" } , { age: 50 } ] } )
SELECT * FROM users WHERE age > 25 db.users.find( { age: { $gt: 25 } } )

SQL vs Mongodb
SELECT * FROM users WHERE age < 25 db.users.find( { age: { $lt: 25 } } )
SELECT * FROM users WHERE age > 25 AND age <= 50 db.users.find( { age: { $gt: 25, $lte: 50 } } )
SELECT * FROM users WHERE user_id like "%bc%" db.users.find( { user_id: /bc/ } )
SELECT * FROM users WHERE user_id like "bc%" db.users.find( { user_id: /^bc/ } )
SELECT * FROM users WHERE status = "A" ORDER BY user_id ASC db.users.find( { status: "A" } ).sort( { user_id: 1 } )
SELECT * FROM users WHERE status = "A" ORDER BY user_id DESC db.users.find( { status: "A" } ).sort( { user_id: -1 } )
SELECT COUNT(*) FROM users
db.users.count()
or
db.users.find().count()
SELECT COUNT(user_id) FROM users
db.users.count( { user_id: { $exists: true } } )
or
db.users.find( { user_id: { $exists: true } } ).count()

Usefull MongoDB commands
 Db.createcollection(users)
 Db.users.insert({“name”: “XYZ”})
 db.users.createIndex( { user_id: 1 } )
 db.users.update(
{ age: { $gt: 25 } },
{ $set: { status: "C" } },
{ multi: true }
)
 db.users.remove( { status: "D" } )
db.users.remove( { status:"D" } )

Thank You

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Mongo DB: Fundamentals & Basics/ An Overview of MongoDB/ Mongo DB tutorials

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