Introduction to MongoDB

Introduction à Mongo DB

Aicha Khabil@Chichiboof

aicha.cs@gmail.com

#NoSQL

Agenda

Why NoSQL What is Mongo DB Mongo DB Features

History

2010 Lots of traffic

SQL* *

SQL* *

Bigtable

Dynamo

NoSQL

#NoSQL

Johan Oskarsson

Caracteristics of NoSQL

DATA MODEL

Key-Value

2131101200

252544425

554245453

2456534534

Document{ name: ‘Mongo DB‘, signification: 'humongous', fr: ‘enorme', Release : ‘MongoV3,1'}

{ name: ‘NoSQL meeting ', date: ISODate("2016-10-08T09:00:00.382Z"), speakers: [ { name: ‘Speacker1' }, { name: ‘Speacker2’ } ]}

No schema

Column

A chaises

C lunettes

B Portes1 Choses

A Arabe

C Anglais

B Français2 Langues

A C# B JAVA3 Langages

Graph

Mongo DB

BSON DOCUMENT

FAST & PORTABLE

HorizontalScalability

Schema-less

Lexicus

RDBMS Mongo DBDatabase DatabaseTable CollectionTuple/Row DocumentColumn/attribute/Variable FieldTable Join Embedded DocumentsForeing Key ReferenceIndex IndexPrimary Key Object id _id

BSON Document{ id: ’doc1’, name: ‘Mongo DB‘, signification: 'humongous', fr: ‘enorme', Release : ‘MongoV3,1'}

{ _id:’doc2’, name: ‘NoSQL meeting ', date: ISODate("2016-10-08T09:00:00.382Z"), speakers: [ { name: ‘Speacker1' }, { name: ‘Speacker2’ } ], programme:{ name: ‘Mongo DB‘, signification: 'humongous', fr: ‘enorme', Release : ‘MongoV3,1'

}

}

Try It

https://www.tutorialspoint.com/mongodb_terminal_online.php

Aggregate data modal

Embedded docuement{ _id:ObjectId(‘xxxxxxxxxxxxxxxxx’), name: ‘NoSQL meeting ', date: ISODate("2016-10-08T09:00:00.382Z"), speakers: [ { name: ‘Speacker1' }, { name: ‘Speacker2’ } ], programme:{ _id:ObjectId(‘yyyyyyyyyyyy’), name: ‘Mongo DB‘, signification: 'humongous', fr: ‘enorme', Release : ‘MongoV3,1'

}

}

16 Mb

Use of reference{ _id:ObjectId(‘xxxxxxxxxxxxxxxxx’), name: ‘NoSQL meeting ', date: ISODate("2016-10-08T09:00:00.382Z"), speakers: [ { name: ‘Speacker1' }, { name: ‘Speacker2’ } ], programmeid:{ObjectId(‘yyyyyyyyyyyy’),}

}{

_id:ObjectId(‘yyyyyyyyyyyy’), name: ‘Mongo DB‘, signification: 'humongous', fr: ‘enorme', Release : ‘MongoV3,1'

}

DBRef{ _id:ObjectId(‘xxxxxxxxxxxxxxxxx’), name: ‘NoSQL meeting ', date: ISODate("2016-10-08T09:00:00.382Z"), speakers: [ { name: ‘Speacker1' }, { name: ‘Speacker2’ } ], programmeid: { "$ref" : "creators",

"$id" : ObjectId("5126bc054aed4daf9), "$db" : "users" }

}

{_id:ObjectId(‘5126bc054aed4daf9’), name: ‘Mongo DB‘, signification: 'humongous', fr: ‘enorme', Release : ‘MongoV3,1'

}

Collection : creatorsDb : Users

Request

Creat Read Update/Upsert Delete Map Reduce GridFs ( mongofiles.exe)

ObjectId Is 12-byte BSON type :

4 Bytesa 4-byte value the

Unix epoch

 3-byte machine identifier

2-byte process id

3-byte counter, starting

Id = ObjectId()

Find document

db.<collection >. Find()

MongoDB cursor Skip() Pagin() Count() Limit() Next() Foreach() Etc

Find document by selector

db.<collection >. Find({_id : ObjectId (‘YYYYYYYYYYYY’)})

IndexesCreate Index on any field in the document// 1 means ascending, -1 means descending> db.posts.ensureIndex({‘author’: 1});

// unique index> db.posts.ensureIndex({<field>: 1},{unique:true});

MapReducedb.collection.mapReduce(

<mapfunction>, <reducefunction>, {

out: <collection>, query: <>, sort: <>, limit: <number>, finalize: <function>, scope: <>, jsMode: <boolean>, verbose: <boolean>

} )

var mapFunction1 = function() { emit(this.cust_id, this.price); }; var reduceFunction1 = function(keyCustId, valuesPrices) { return sum(valuesPrices); };

GridFs It is a specification for storing and

retrieving files that exceed the BSON-document size limite of 16 MB.

Mongofiles -d <db> put photo.jpg

Db.fs.files.find();

Mongo DB drivers PHP C# Python Ruby C++ Node js Etc ,,

MongoDB cloud providers

MongoLab MongoHQ AWS Joyent

MongoDB GUI Robomongo MongoBooster MongoDB Compass Etc

Replicat set

Primary

Secondary Secondary

DriverWrite

Update Update

Primary

Secondary Secondary

Heartbeats

Primary

Secondary Secondary

Heartbeats

Primary

Secondary Secondary

Primary ?

Primary

Primary Secondary

Secondary

Primary Secondary

Heartbeats

Sharding

Collection

Shard 1 Shard 2 Shard 3

COLLECTION

Shard 1P

DRIVER

Shard 1S

Shard 1S

Shard 2P

Shard 2S

Shard 2S

Shard 3P

Shard 3S

Shard 3S

Query router

Mongo DB V3.0

Mongo DB V3.0

Performance & Efficiency Gains,

New Storage Architecture

Thz

Thanks