Mongo DB

www.edureka.in/mongodbSlide 1
®

 Module 1
 Introduction and Overview
 No SQL
 Module 2
 CRUD Operations
 CRUD Concerns
 Module 3
 Schema Design and Data Modeling
 Comparison with Relational Systems
 Module 4
 Administration
 Backup and Recovery
 Module 5
 Scalability and Availability
 Replication and Sharding
 Module 6
 Indexing and Aggregation Frame work
 Performance Tuning
 Module 7
 Application Engineering and Mongo DB Tools
 Interface with Other Language
 Module 8
 Project, Additional Concepts and Cases Studies
MongoDB Course Topics

MongoDB Course
Module 01 : Design Goals, Architecture and Installation

How it Works….
 Online Instructor–led Live classes
 Class Recordings in Learning Management System (LMS)
 Module–wise Quizzes and Practical Assignments
 24x7 On–demand Technical Support
 Project Based Verifiable Graded Certificate
 Lifetime Access to the Learning Management System

Topics of the Day
Database Categories
Mongo DB Overview
Design Goals for MongoDB Server and Database
Mongo DB Tools
Introduction to JSON and BSON
Installation of MongoDB on Windows, Linux, MAC,OS etc.
Environment Setup for MongoDB

RDBMS/OLTP/Real Time
NoSQL/New SQL/BigData
OLAP/DSS/DW
Oracle
MySQL
MS SQL
DB2
Etc.
Netezza
SAP Hanna
Oracle Express
Etc.
MongoDB
Hbase
Cassandra
CauchDB
Etc.
Database Categories

RDBMS/OLTP/Real Time
Oracle
MySQL
MS SQL
DB2
Etc.
Online Sales
App
ATM
Transaction
Retail
Transaction
Others
OLTP Database

Oracle
SQL Server
MySQL
DB2
OLAP/DSS/DW
Netezza
SAP Hanna
Oracle Express
Etc.
OLTP Database

NoSQL/New SQL/BigData
Oracle
SQL Server
MySQL
DB2
OLAP/DSS/DW
Netezza
SAP Hanna
Oracle Express
Etc.
MongoDB
Hbase
Cassandra
CauchDB
Etc.
NoSQL Databses
Online
Sales App
Retail
Transaction
Others

Next Generation Databases Not Only SQL Non – Relational
Distributed Architecture Open Source Horizontally Scalable
What is NoSQL?

Schema - Free Easy – Replication Simple API
Can Manage Huge
Amount of Data
Can be implement on
Commodity Hardware's
~ 150 No SQL Database
are there in Market
Schema – Free !
~150
What is NoSQL?

Nature of Data Application Development
(high coding velocity & agility)
Why NoSQL?

Operational Issues
(scale, performance, high availability)
Why NoSQL?

Data Warehousing and Analytics
Why NoSQL?

 Large volumes of structured, semi-structured, and unstructured data
Benefit of NoSQL

 Agile development, quick changes, and frequent code pushes
Benefit of NoSQL
Scrum
Design
Many More…
Feature
Driven
Development
Extreme
Programming
Agile
Methodologies

 Object-oriented programming that is easy to use and flexible
 Horizontal scaling instead of expensive hardware's
Benefit of NoSQL

Graph
Store
Key –
value
Stores
Wide
Column
Stores%
Document
Base
 Document databases pair each key with a complex
data structure known as a document.
 Documents can contain many different key-value
pairs, or key-array pairs, or even nested documents.
 Graph stores are used to store information about
networks, such as social connections.
 Graph stores include Neo4J and HyperGraphDB.
 Key-value stores are the simplest NoSQL
databases.
 Every single item in the database is stored as an
attribute name (or "key"), together with its value.
 Wide-column stores such as Cassandra and
HBase are optimized for queries over large
datasets, and store columns of data together,
instead of rows.
Categories of NoSQL Database

Key Value
Store
Memcached
Coherence
Redis
Tabular
Big Table
Hbase
Accumulo
Document
Oriented
MongoDB
Couch DB
Cloudant
Graph Stores
Neo4J
Oracle NoSQL
HyperGraphDB
Type of No SQL Databases

Entity SQL Databases NoSQL Databases
Type One Type (SQL) with Minor Variation Many Types (Document, Ke-Value, Tabular, Graph)
Development 1970 2000
Examples Oracle, MSSQL, DB2 etc. MongoDB, Cassandra, Hbase, Neo4J
Schemas Fixed Dynamic
Scaling Vertical Horizontal
Dev Model Mix Open Source
Consistency Follow ACID Follow BASE
NoSQL vs. SQL Comparison

ACID Property
Atomic
 A transaction is a logical unit
of work which must be either
completed with all of its data
modifications, or none of
them is performed.
Consistent
 At the end of the transaction,
all data must be left in a
consistent state.
Isolated
 Modifications of data
performed by a transaction
must be independent of
another transaction. Unless
this happens, the outcome of
a transaction may be
erroneous.
Durable
 When the transaction is
completed, effects of the
modifications performed by
the transaction must be
permanent in the system.
Durable
Isolated
SQL Databases (ACID Property)

We must understand the CAP
theorem when we talk about
NoSQL databases or in fact
when designing any distributed
system.
CAP theorem states that there are 3 basic requirements which exist in a special relation when designing
applications for a distributed architecture.
Consistency
Availability
Partition
Tolerance
Cap Theorem
This means that the system is always on (service guarantee
availability), no downtime.
This means that the system continues to function even the
communication among the servers is unreliable, i.e. the servers
may be partitioned into multiple groups that cannot communicate
with one another.
This means that the data in the database remains consistent after
the execution of an operation. For example after an update
operation all clients see the same data.

 In theoretically it is impossible to fulfill all 3 requirements.
 CAP provides the basic requirements for a distributed system
to follow 2 of the 3 requirements.
 Therefore all the current NoSQL database follow the different
combinations of the C, A, P from the CAP theorem.
Cap Theorem

 CA - Single site cluster, therefore all nodes are always
in contact. When a partition occurs, the system blocks.
 CP - Some data may not be accessible, but the rest is
still consistent/accurate.
 AP - System is still available under partitioning, but
some of the data returned may be inaccurate.
Here is the brief description of three combinations CA, CP, AP :
Cap Theorem

 Basically Available indicates that the system does guarantee availability, in terms of
the CAP theorem.
Basically Available
 Soft State indicates that the state of the system may change over time, even without
input. This is because of the eventual consistency model.
Soft State
 Eventual Consistency indicates that the system will become consistent over time,
given that the system doesn't receive input during that time.
Eventual Consistency
A BASE system gives up on consistency.
BASE

Hello There!!
My name is Annie.
I love quizzes and
puzzles and I am here to make
you guys think and answer my
questions.
Annie’s Introduction

Annie’s Question
Map the following to corresponding data bases:
MongoDB
Neo4J
Cassandra
Hbase

Annie’s Answer
MongoDB  Document Oriented Database
Neo4J  Graph Database
Cassandra  Columnar Database
Hbase  Tabular Database

Structured Data
Text, Log Files,
Click Streams,
Blogs, Tweets,
Audio, Video,
etc
Unstructured and
Semi–structured Data
NoSQL vs. SQL Comparison

Right Data Model
Pros and Cons of Consistent
Compromising
Features of RDBMS
Step 2
Step 3
Before Selection and Implementation of NoSQL
Step 1

NoSQL Landscape

Annie’s Question
Which concept is followed by NoSql, chose from
below list
1 ACIS
2 CAP
3 BASE

Annie’s Answer
BASE

MongoDB Overview
MongoDB Overview

Mongo DB is an Open-source
database.
Developed by 10gen, for a wide
variety of applications.
It is an agile database that
allows schemas to change
quickly as applications evolve.
Scalability, High Performance and
Availability.
By leveraging in-memory computing. MongoDB’s native replication
and automated failover enable
enterprise-grade reliability and
operational flexibility.
MongoDB Overview
Overview

New Apps New Development Methods New Data Volumes
New Architectures New Data Types
Create
ReleaseEvolve
Involve
New World

Open Source Document Oriented Storage Object Oriented
Written in C++ Easy to Use Full Index Support
What is MongoDB?

Replication and High Availability Auto Sharding Easy Query
Map Reduce Gird FS Support from Expert
What is MongoDB?
MongoDB Replica set
Application

Key MongoDB
Features
Flexibility
Power
Easy to Use
Speed
/Scalling
Key MongoDB Features

Built-In
Replication for
High Availability
Drivers: 13
MongoDB-Supported
Drivers; 37
Community-
Supported
Drivers
Hadoop
Integration
Aggregation
Framework &
Native
MapReduce
Rich Secondary
Indexes,
including
geospatial and
TTL indexes
Auto-Sharding
for Horizontal
Scalability
JSON Data
Model with
Dynamic
Schemas
MongoDB Features

Applications
Analytical Tools, BI Apps, Mobile Apps, CRM, ERP etc.
Data Management
Online Data Offline Data
Infrastructure
OS & Virtualization, Storage, Network etc.
Management&Monitoring
Security&Auditing
Mongo
dMongo
dMongod
RDMS
RDMS
RDMS
DWDWEDW
MongoDB High Level Architecture

Annie’s Question
Which kind of data can be processed with MongoDB,
choose from below option
1 Online Data
2 Offline Data
3 Both

Annie’s Answer
Both

MongoDB Licensing
Free software Foundation’s Commercial Licenses
MongoDB
MongoDB
Enterprise
MongoDB Licensing

 MongoDB Enterprise is the commercial edition of MongoDB that provides
enterprise-grade capabilities.
 MongoDB Enterprise includes advanced security features, management
tools, software integrations and certifications.
 These value-added capabilities are not included in the open-source
edition of MongoDB.
MongoDB Enterprise

MongoDB
Enterprise
Certified
OS
Support
Advanced
Security
On-demand
Training
Enterprise
Software
Integration
Management
MongoDB Enterprise Includes

Features MongoDB MongoDB Enterprise
JSON Data Model with Dynamic Schemas • •
Auto-Sharding for Horizontal Scalability • •
Built-In Replication and High Availability • •
Full, Flexible Index Support • •
Rich Document Queries • •
Fast In-Place Updates • •
Aggregation Framework and MapReduce • •
Large Media Storage with GridFS • •
Text Search • •
Cloud, On-Premise and Hybrid Deployments • •
Role-Based Privileges • •
Advanced Security with Kerberos •
On-Prem Management •
SNMP Support •
OS Certifications •
Private On-Demand Training •
MongoDB Enterprise Includes

Use Cases
Mobile and
Social
Infrastructure
Content
Management
Big Data
Customer
Data
Management
Data Hub
Use Cases

Annie’s Question
Can you give example of Big Data?

Annie’s Answer
1. Facebook ingests 500 terabytes of new data
every day.
2. A Boeing 737 will generate 240 terabytes of
flight data during a single flight across the US.

Few MongoDB Clients

 Metlife uses MongoDB for “The Wall” an innovative customer service application
provides a 360-degree, consolidated view of MetLife customers, including policy
details and transactions across lines of business.
 ebay has a number of projects running on MongoDB for search suggestions,
metadata storage, cloud management and merchandizing categorization.
 MongoDB is the repository that powers MTV Networks’ next-generation CMS,
which is used to manage and distribute content for all of MTV Networks’ major
websites.
 MongoDB is used for back-end storage on the SourceForge front pages, project
pages, and download pages for all projects.
 Craigslist uses MongoDB to archive billions of records.
 ADP uses MongoDB for its high performance, scalability, reliability and its ability to
preserve the data manipulation capabilities of traditional relational databases.
Few MongoDB Clients

 CNN Turk uses MongoDB for its infrastructure and content management system,
including the tv.cnnturk.com.
 Foursquare uses MongoDB to store venues and user ‘check-ins’ into venues,
sharding the data over more than 25 machines on Amazon EC2.
 Justin.tv is the easy, fun, and fast way to share live video online. MongoDB
powers Justin.tv’s internal analytics tools for virality, user retention, and general
usage stats that out-of-the-box solutions can’t provide.
 ibibo (‘I build, I bond’) is a social network using MongoDB for its dashboard
feeds. Each feed is represented as a single document containing an average of
1000 entries; the site currently stores over two million of these documents in
MongoDB.
Few MongoDB Clients

Industry /Domains Where MongoDB is Used
Government Financial Services
Media and Entertainment RetailTele-communications
Healthcare

 Risk Analytics and Reporting
 Reference Data Management
 Market Data Management
 Portfolio Management
 Order Capture
 Time Series Data
Financial Services

 Surveillance Data Aggregation
 Crime Data Management and Analytics
 Citizen Engagement Platform
 Program Data Management
 Healthcare Record Management
Government

 360-Degree Patient View
 Population Management for At-Risk Demographics
 Lab Data Management and Analytics
 Mobile Apps for Doctors and Nurses
 Electronic Healthcare Records (EHR)
Health Care

 Content Management and Delivery
 User Data Management
 Digital Asset Management
 Mobile and Social Apps
 Content Archiving
Media and Entertainment

 Rich Product Catalogs
 Customer Data Management
 New Services
 Digital Coupons
 Real-Time Price Optimization
Retail

 Consumer Cloud
 Product Catalog
 Customer Service Improvement
 Machine-to-Machine (M2M) Platform
 Real-Time Network Analysis and Optimization
Telecommunication

MongoDB Tools
MongoDB Tools

 mongod
 mongos
 mongo
 mongod.exe
 mongos.exe
 mongodump
 mongorestore
 bsondump
 mongooplog
 mongoimport
 mongoexport
 mongostat
 mongotop
 mongosniff
 mongoperf
 mongofiles
MongoDB Package Components

Core
Processes
mongod mongos mongo
Windows
Services
mongod.exe mongos.exe
Binary
Import and
Export Tools
mongodump mongorestore bsondump mongooplog
Data Import
and Export
Tools
mongoimport mongoexport
Diagnostic
Tools
mongostat mongotop mongosniff mongoperf
GridFS mongofiles
MongoDB Package Components ( Tools)

Annie’s Question
Which binary do we use for Data Import & Export?

Annie’s Answer
mongoimport & mongoexport

Annie’s Question
Which binary do we use for backup & recovery?

Annie’s Answer
mongodump & mongorestore

Annie’s Question
Which binary do we use to process large files?

Annie’s Answer
mongofiles

 Mongod is the primary daemon process for the MongoDB system.
 Database is a physical container for collections.
 Each database gets its own set of files on the file system.
 A single MongoDB server typically has multiple databases.
 It handles data requests, manages data format, and performs
background management operations.
mongod
MongoDB Database

 Collection is a group of MongoDB documents.
 It is the equivalent of an RDBMS table.
 A collection exists within a single database.
 Collections do not enforce a schema.
 Documents within a collection can have different fields.
 Typically, all documents in a collection are of similar or
related purpose.
mongod
Collection 1
Collection 2
Collection 3
Collection 4
Collection 5
Collection
……..n
MongoDB Collection

 A document is a set of key-value pairs.
 Documents have dynamic schema.
Collection 1
Collection 2
Collection 3
Collection 4
DOC 1
DOC 4DOC 5DOC 6
DOC 2DOC 3 DOC 7DOC 8DOC 9
DOC 10DOC 11DOC 12
MongoDB Document

{
_id: ObjectId(7df78ad8902c)
title: 'edureka',
description: 'Leading Training Provider Across Glob',
by: 'edureka',
url: 'http://www.edureka.in',
tags: ['mongodb', 'database', 'NoSQL'],
likes: 100,
comments: [
{
user:'user1',
message: 'My first comment',
dateCreated: new Date(2011,1,20,2,15),
like: 0
},
{
user:'user2',
message: 'My second comments',
dateCreated: new Date(2011,1,25,7,45),
like: 5
}
]
}
MongoDB Sample Document

RDBMS MongoDB
Database Database
Table Collection
Tuple/Row Document
Column/Attribute/Variable Field
Table Join Embedded Documents
Database Server and Client
Primary Key
Primary Key (Default key _id provided by mongodb
itself)
Mysqld/Oracle mongod
mysql/sqlplus mongo
RDBMS Terminology with MongoDB

Annie’s Question
Can we join 2 or more documents to get desired
outcome in MongoDB ?

Annie’s Answer
Yes, Through linking we can do

JavaScript Object
Notation
JSON Abbreviation Lightweight data-
interchange format
Easy for humans
to read and write
Easy for machines to
parse and generate
Text format that is
completely language
independent
JSON

A collection of
name/value
pairs
An ordered
list of values
JSON
Structure
Object
Array
JSON

JSON

Binary JavaScript
Object Notation
BJSON Abbreviation Supports the embedding of
documents and arrays within
other documents and arrays
Easy for machines to
parse and generate
Text format that is completely
language independent
Contains extensions that allow
representation of data types that
are not part of the JSON spec
BSON

Annie’s Question
What is difference in JSON & BSON ?

Annie’s Answer
JSON Java Script Object Notation
BSON Binary JSON (Represents JSON Data in
Binary Format)

MongoDB Installation – Live Demo

 Running MongoDB on Windows
 Installation of MongoDB on Windows as a Service
 Running of MongoDB on Linux (CentOS)
 Installation of MongoDB on CentOS

Your Questions

 More on MongoDB
http://docs.mongodb.org/manual/
http://www.tutorialspoint.com/mongodb/
http://en.wikipedia.org/wiki/MongoDB
 Connection with PHP to MongoDB
http://www.php.net/manual/en/mongo.tutorial.connecting.php
 NoSQL Databases
http://www.w3resource.com/mongodb/nosql.php
http://www.dataversity.net/acid-vs-base-the-shifting-ph-of-database-transaction-
processing/
 Big Data
http://en.wikipedia.org/wiki/Big_Data
Further Reading

Tasks for you
Attempt the following Assignments using the documents present in the LMS:
Write a JSON document which can have all data types supported by JSON?
What all core differences are there in MongoDB, Hadoop, HBase and Cassandra?
How can you define Horizontal & Vertical Scalability?
Can we design a Social Media App with MongoDB, if yes then how?
To design a content management system what all databases can be used and why?
I want to create a solution for Data Hub and I have choice of MySQL, Hadoop, Cassandra,
MongoDB, HBase, which one is more suitable and why?
What is Online & Offline Big Data?
What is Agility, What is tailored and elastic?
Assignments

MongoDB Installation on Windows or MongoDB Installation
on Centos
Generate Test Data on MongoDB Database
Execute all Module1 Script present in LMS
Read FAQ Module1 in LMS
Read FAQ Module1 in LMS
Take Quiz in LMS
Complete Assignment
Pre-work: Module 2

Agenda of Next Class
 MongoDB Development Overview
 MongoDB Production Overview
 MongoDB CRUD Introduction
 MongoDB CRUD Concepts
 MongoDB CRUD Syntax & Queries
Module 2
CRUD Operations

This section will
give you an
insight of
MongoDB
course
Old Batch
recordings –
Handy for you
What’s within the LMS

Click here to
expand and view
all the elements
of this Module

Recording of the
Class
Presentation
Hands-on Guides

Assignment
Further Reading
Pre-work
Quiz
Scripts
FAQ

Thank You
See You in Class Next Week

Mongo DB

More Related Content

Mongo DB