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The Hows and Whys of
MongoDB
27 May 2014
Everything is at:	

http://bitly.com/bundles/rockncoder/2
Who am I?
Hi, I am Troy. I have fun as a full stack programmer. I
develop using ASP.NET MVC or Node.js on the backend
and the web or mobile up front. 	

!
I can be reached at: rockncoder@gmail.com
Free mobile tutorials with source
code @ therockncoder.blogspot.com
Want more? Follow me, new tutorials are
announced on Twitter first:
@therockncoder
Source code for my tutorials hosted on
GitHub @
https://github.com/Rockncoder
Check out my videos:
www.youtube.com/rockncoder
MongoDB 9 to 5
• Two day intensive training	

• July 19th & 26th	

• 9 AM - 5 PM	

• ITT Technical Institute,Torrance, CA
Agenda
• Introduction to
MongoDB	

• The MongoDB Shell	

• Using MongoDB	

• Advanced MongoDB	

• MongoDB Tools	

• To MongoDB or not to
MongoDB	

• Summary	

• Questions
Introduction to
MongoDB
What is MongoDB?
• Cross-platform document database	

• Developed by MongoDB Inc in 2007	

• Production ready since March 2010	

• Free and open-source	

• The most popular NoSQL database
Top DB-Engines
• Oracle	

• MySQL	

• MS SQL Server	

• PostgreSQL	

• MongoDB
!
• DB2	

• MS Access	

• SQLite	

• Cassandra	

• Sybase ASE
Who Uses It?
• Craigslist	

• eBay	

• Foursquare	

• SourceForge	

• Viacom	

• Expedia	

• Parse	

• LinkedIn	

• Medtronic	

• eHarmony	

• CERN	

• and more
Why?
• Document Database	

• High Performance	

• High Availability	

• Easy Scalability
What is a Document?
• An ordered set of keys and values	

• like JavaScript objects	

• no duplicate keys allowed	

• type and case sensitive	

• field order is not important or guaranteed
What’s Wrong with
SQL?
• SQL was created by Edgar F. Codd in 1969	

• OracleV2 introduced in 1979	

• MS SQL Server introduced in 1989	

• Today most languages are object-oriented	

• SQL is column and row oriented
A Contact Manager
• first name	

• last name	

• home address	

• work address	

• mobile phone	

• home phone
In SQL
• Person table	

• Address table	

• Phone number table	

• Joins necessary to retrieve
In MongoDB
• One document holds it all	

• Including the arrays	

• No joins necessary
SQL MongoDB
row document
table collection
database database
joins none
transactions none
Installation
• The current version is 2.6.1	

• Downloads available for Windows, Linux,
Mac OSX, and Solaris	

• 64-bit for all systems, 32-bit for Windows &
Linux	

• 32-bit is not recommends except for
learning
Windows
• Download MongoDB	

• Unzip the file	

• Move it, if necessary	

• Set up the MongoDB environment	

• Start MongoDB	

• Connect to MongoDB
Mac OS X
• The best way is to use Homebrew	

• brew update	

• brew install mongo
The MongoDB Shell
The MongoDB Shell
• Allows interactions with a MongoDB
instance	

• A full-featured JavaScript interpreter	

• Allows multiple line input
Shell Helpers
• use foo - db.getSisterDB(“foo”)	

• show dbs - db.getMongo().getDBs()	

• show collections -
db.getCollectionNames()
CRUD in the Shell
• Create = insert	

• Read = find/findOne	

• Update = update	

• Delete = remove
BSON not JSON
• MongoDB uses its own variant of JSON	

• Called Binary JSON or BSON	

• Efficiency	

• Traversability	

• Performance
Using MongoDB
MongoDB in Node.js
MongoDB in Android
MongoDB in C#
Misunderstandings
• It is schema-less 	

• You don’t need to design db	

• You should mix types
Advanced MongoDB
Performance
• Indexing	

• Query Optimization	

• Profiler
Indexing
• Indexes should support queries	

• Use indexes to sort queries	

• Indexes should fit into RAM	

• Queries should ensure selectivity
Query Optimization
• Improves read operations by reducing data
that the query needs to process
Profiler
• Collects data about MongoDB database
commands	

• Enabled per-database or per-instance basis	

• Profile level is configurable (0, 1, or 2)
Stats
• db.stats()	

• Statistics that reflect the use of a single DB	

• Identifies:	

• the current database	

• the number of indexes	

• the file size
Replication
• Keeps identical copies of data on multiple
servers	

• Set up by creating a replica set	

• A replica set is a group of servers with one
primary	

• If primary crash, secondaries elect a new
one
Backup
• mongodump - command line tool	

• You must have backup and read privileges	

• No arguments connects to the local DB	

• —db, limits the database	

• —collection, limits the collections	

• —oplog, makes snapshots possible
Restore
• mongorestore --port <port number>
<path to the backup>	

• Can restore to a running instance or to the
files	

• —oplogReplay, 	

• —filter, allows restore only if filter is true
Sharding
• Process of splitting data up across machines	

• Manual sharding can be with most database	

• MongoDB has autosharding 	

• Nonetheless it is difficult to configure
MongoDB Tools
Tools
• MongoDB Shell (built-in)	

• MongoDB Web Site (built-in)	

• Robomongo (Mac, PC, Linux)	

• http://mongodb-tools.com/
To MongoDB or not to
MongoDB
Not to MongoDB
• Transactions are needed	

• You are happy with what you have	

• You have have
To MongoDB
• You do a lot of non-transactional writes	

• You need to grow wide	

• You work with location based data	

• You need high availability
MongoDB as a Service
• MongoHQ	

• MongoLab	

• MongoDirector	

• ObjectRocket, (Rackspace)
Summary
• MongoDB is an open-source document
database	

• It features JSON-style documents with
dynamic schemas	

• In order to gain performance, it sacrifices
reliability
Everything is at:	

http://bitly.com/bundles/rockncoder/2

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The Hows and Whys of MongoDB