Introduction to NOSQL And MongoDB

Introduction
to NoSQL
And MongoDB

Behrouz Bakhtiari
Farid Dehgan

ntroduction to NOSQL And MongoDB

nes are correct?

NOSQL = Not To
SQL
NOSQL = Not Only SQL


High Throughput

Reduce Cost
Eliminate ORM Complexity


Horizontal Scalability


Horizontal Scalability

“Oracle would tell you that with the right degree of hardware and the right configuration of Oracle RAC (Real Application Clusters) and other
associated magic software, you can achieve the same scalability. But at what cost?”


The CAP-Theorem


Consistenc
y


Availability


Partition Tolerance


Not
Available


ACID
Atomic
Consistent
Isolated
Durable


BASE
Base Availability

Soft-state
Not
durabl
ual consistency e


NOSQL Taxonomy
Key-Value Stores

Column Stores

Document Stores

Graph Databases


Key-Value Stores

Automobile
Key Attributes
1 Make: Toyota
Model: Highlander
Color: Maroon
Year: 2004

2 Make: Toyota
Model: Highlander
Color: Blue
Year: 2005
Transmission: Automatic


Dynamo DB
Amazon

Key-Value

Consistent

Hashing


Column
Stores EmpId Lastname Firstname Salary
1 Smith Joe 40000
2 Jones Mary 50000
3 Johnson Cathy 44000

A Row-oriented Database: puts rows together
1,Smith,Joe,40000; 2,Jones,Mary,50000; 3,Johnson,Cathy,44000;

A Column-oriented Database: puts values of a column together.
1,2,3; Smith,Jones,Johnson; Joe,Mary,Cathy; 40000,50000,44000;


BigTable
Sparse (rows only where there are

values; not fixed length)

Distributed (horizontally partitioned

over many servers)

Multidimensional (consisting of a

multi-part key)


MapReduce


Graph Databases


Graph Vs. Key-
Value


JSON


Documents
Documents = Rows
In MongoDB the documents are conceptually JSON.

documents can be thought of as objects but only the data of an object, not the code, methods or class hierarchy

MongoDB is type-sensitive and case-sensitive. {“foo” : 3} # {“foo” : “3”} Or {“foo” : 3} # {“Foo” : 3}


Collections
Collections = Tables
A MongoDB collection is a collection of BSON documents.

Collections are schema-free.

A collection is created when the first document is inserted.

The maximum size of a collection name is 128 characters (including the name of the db and indexes).


Getting and Starting MongoD
Default port for server
To start the server, run the mongod executable.

Default data directory : C:datadb

If directory.exist(“C:datadb”) == false then server.fail

> mongod --dbpath D:data


MongoDB Shell
I want to interact with MongoDB
> mongo

make sure you start mongod before starting the shell.

> X = 200 > Math.sin(Math.PI / 2 );
200 1
>X/5 > “TOSS”.replace(“T”,”Tabriz ”);
40 Tabriz OSS


Creating Documents
> db.post.insert({ID: 1,Title:“TDD",Body:"Unit Test"})

> db.post.insert({ID: 2,Title:"NOSQL",Body:"Introduction to NOSQL",Authors:["Farid"]})

> db.post.insert({ID: 3,Title:"MongoDB",Body:"Introduction to MongoDB",Authors:["Farid",“Behrouz"]})
Mapping To Relational Modal

Post PostAuthors Authors

> INSERT INTO Authors ( ID , Name) Values ( 1 , ' Behrouz' )

> INSERT INTO Authors ( ID , Name) Values ( 2 , ' Farid' )

> INSERT INTO post ( ID , Title , Body ) Values ( 3 , ' MongoDB „ , ' Introduction to MongoDB ' )

> INSERT INTO PostAuthors (Post ID , AuthorID) Values ( 3 , 1)

> INSERT INTO PostAuthors (Post ID , AuthorID) Values ( 3 , 2)


Deleting Documents
> DELETE FROM post

> db.post.remove()

> DELETE FROM post WHERE ID = 1

> db.post.remove({ ID : 1 })

> DELETE FROM post WHERE ID = 1 AND Title = „TDD‟

> db.post.remove({ ID : 1 , Title : " TDD " })


Updating Documents
> UPDATE post SET Title = „Mocking‟ Where ID = 1 Updates, update by default only the first
documents that matches the criteria.

> db.post.update( { ID: 1 } , { "$set" : {Title : "Mocking“ } } )

> db.post.update( { ID: 1 } , { "$set" : {Title : "Mocking“ } } ,false , true)

Upsert ?


Updating Documents
> db.post.update( { ID: 1o1 } , { "$set" : { Title : “Scrum“ , Body : “Scrum” } } , true)

Yes
Exist this document Update document
No

Create a new document

{ID : 101}


Updating Documents
> db.post.update( {ID : 3 } , { "$set" : { comments : [{ Email : "behrouzlo@yahoo.com" , Body : "Test“ }]}})

Mapping To Relational Modal

Post Comments
1 *

> INSERT INTO comments ( postID , Email , Body ) VALUES ( 3 , ‟behrouzlo@yahoo.com‟ , ‟Test‟ )


Querying
> SELECT * FROM post

> db.post.find()

> SELECT ID , Title FROM post
The _id key is always returned, even if it isn‟t specifically listed.

> db.post.find({} , { ID : 1 , Title : 1 })

> db.post.find({} , { ID : 1 , Title : 1 , _id : 0 })


Querying
> SELECT * FROM post WHERE ID = 1

> db.post.find({ ID : 1 })

> SELECT * FROM post WHERE ID = 1 OR ID = 3

> db.post.find( { “$or” : [{ ID = 1 } , { ID = 3 } ] } )


Querying
$lt < $lte <= $gt > $gte >= $ne <>

> SELECT * FROM post WHERE ID >= 1 And ID <= 100

> db.post.find ( { ID : { “$gte” : 1 , “$lte” : 100 } } )

> SELECT * FROM post WHERE ID <> 1

> db.post.find ( { ID : { “$ne” : 1} } )


Querying
> SELECT * FROM post ORDER BY ID

> db.post.find().sort ( { ID : 1 } )

> SELECT * FROM post ORDER BY ID DESC

> db.post.find().sort ( { ID : -1 } )

Introduction to NOSQL And MongoDB

Recommandé

Recommandé

Contenu connexe

Tendances

Tendances (20)

En vedette

En vedette (20)

Similaire à Introduction to NOSQL And MongoDB

Similaire à Introduction to NOSQL And MongoDB (20)

Dernier

Dernier (20)

Introduction to NOSQL And MongoDB