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#MongoDB

Building your first app;
an introduction to MongoDB
Rick Houlihan
Solutions Architect, MongoDB
What is MongoDB?
MongoDB is a ___________
database
• Document
• Open source

• High performance
• Horizontally scalable
• Full featured
Document Database
• Not for .PDF & .DOC files
• A document is essentially an associative array

• Document = JSON object
• Document = PHP Array
• Document = Python Dict
• Document = Ruby Hash
• etc
Open Source
• MongoDB is an open source project
• On GitHub

• Licensed under the AGPL
• Started & sponsored by MongoDB Inc (formerly

10gen)
• Commercial licenses available
• Contributions welcome
High Performance
• Written in C++
• Extensive use of memory-mapped files

i.e. read-through write-through memory caching.
• Runs nearly everywhere
• Data serialized as BSON (fast parsing)

• Full support for primary & secondary indexes
• Document model = less work
Database Landscape
Full Featured
• Ad Hoc queries
• Real time aggregation

• Rich query capabilities
• Strongly consistent
• Geospatial features
• Support for most programming languages
• Flexible schema
mongodb.org/downloads
Running MongoDB
$ tar –z xvf mongodb-osx-x86_64-2.4.x.tgz
$ cd mongodb-osx-i386-2.4.4/bin
$ mkdir –p /data/db
$ ./mongod
Mongo Shell
MacBook-Air-:~ $ mongo
MongoDB shell version: 2.4.4
connecting to: test
> db.test.insert({text: 'Welcome to MongoDB'})
> db.test.find().pretty()
{
"_id" : ObjectId("51c34130fbd5d7261b4cdb55"),
"text" : "Welcome to MongoDB"
}
Document Database
Terminology
RDBMS

MongoDB

Table, View

➜

Collection

Row

➜

Document

Index

➜

Index

Join

➜

Embedded Document

Foreign Key

➜

Reference

Partition

➜

Shard
Let’s Build a Blog
First step in any application is

Determine your entities
Entities in our Blogging System
• Users (post authors)
• Article

• Comments
• Tags
In a relational base app
We would start by doing schema
design
Typical (relational) ERD
In a MongoDB based app
We start building our app
and let the schema evolve
MongoDB ERD
Working With MongoDB
Start with an object
(or array, hash, dict, etc)
var user = {
username: ’erlichson',
first_name: ’Andrew',
last_name: ’Erlichson',
}
Switch to Your DB
>db
test
> use blog
switching to db blog

> db.users.insert( user )
Insert the Record
> db.users.insert(user)

No collection creation necessary
Find One Record
> db.users.findOne()
{
"_id" : ObjectId("50804d0bd94ccab2da652599"),
"username" : ”erlichson",
"first_name" : ”Andrew",
"last_name" : ”Erlichson"
}
Creating a Blog Post
> db.article.insert({
title: ‘Hello World’,
body: ‘This is my first blog post’,
date: new Date(‘2013-06-20’),
username: ‘erlichson’,
tags: [‘adventure’, ‘mongodb’],
comments: [ ]
})
Finding the Post
> db.article.find().pretty()
{
"_id" : ObjectId("51c3bafafbd5d7261b4cdb5a"),
"title" : "Hello World",
"body" : "This is my first blog post",
"date" : ISODate("2013-06-20T00:00:00Z"),
"username" : "erlichson",
"tags" : [
"adventure",
"mongodb"
],
"comments" : [ ]
}
Querying An Array
> db.article.find({tags:'adventure'}).pretty()
{
"_id" : ObjectId("51c3bcddfbd5d7261b4cdb5b"),
"title" : "Hello World",
"body" : "This is my first blog post",
"date" : ISODate("2013-06-20T00:00:00Z"),
"username" : "erlichson",
"tags" : [
"adventure",
"mongodb"
],
"comments" : [ ]
}
Using Update to Add a Comment
> db.article.update({_id:

new ObjectId("51c3bcddfbd5d7261b4cdb5b")},

{$push:{comments:

{name: 'Steve Blank', comment: 'Awesome Post'}}})
>
Post with Comment Attached
> db.article.findOne({_id: new ObjectId("51c3bcddfbd5d7261b4cdb5b")})
{
"_id" : ObjectId("51c3bcddfbd5d7261b4cdb5b"),
"body" : "This is my first blog post",
"comments" : [
{

"name" : "Steve Blank",
"comment" : "Awesome Post"
}
],
"date" : ISODate("2013-06-20T00:00:00Z"),
"tags" : [

"adventure",
"mongodb"
],
"title" : "Hello World",
"username" : "erlichson"
}
MongoDB Drivers
Real applications are not
built in the shell
MongoDB has native
bindings for over 12
languages
docs.mongodb.org
Online Training at MongoDB
University
We've introduced a lot of
concepts here
Schema Design @
Replication @
Indexing @
Sharding @
Questions?
#MongoDBWorld

MongoDB World
New York City, June 23-25
See what’s next in MongoDB including
• MongoDB 2.6
• Sharding
• Replication
• Aggregation
http://world.mongodb.com
Save $200 with discount code THANKYOU
#ConferenceHashtag

Thank You
Rick Houlihan
Solutions Architect, MongoDB

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