Presented at http://www.meetup.com/emerging-business-technology/events/60978812/

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2. Today‟s Talk
• 10gen
• MongoDB
• Real World Applications / Use Cases
• Community
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3. 10gen
• 10gen began the MongoDB project
• Development, support, and services
• ~125 employees
• New York, Palo Alto, London, Dublin
• $31M+ funding (last round, Sept 2011)
• Investors: Sequoia, Flybridge, Union Square
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4. MongoDB
MongoDB is a scalable, high-performance
open source NoSQL database
• Document-Oriented Storage
• Replication and High Availability
• Auto-Sharding
• Fast In-Place updates
• Ad-hoc Querying
• Full index support
• Map/Reduce

5. Database Landscape
Memcached
Scalability & Performance
Key / Value
RDBMS
Depth of functionality

6. What‟s a document anyway?
doc =
{
author : "roger",
date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)",
text : "Spirited Away",
tags : [ "Tezuka", "Manga" ],
comments : [
{
author : "Fred",
date : "Sat Jul 24 2010 20:51:03 GMT-0700 (PDT)",
text : "Best Movie Ever"
}
]
}

7. Atomic Updates
• $set, $unset, $inc, $push, $pull, …
> comment = { author: “john”,
date: new Date(),
text: “I didn„t like it so much”}
> db.posts.update( { _id: doc._id },
$push: {comments: comment} );

8. Querying
// find posts tagged with Manga
> db.posts.find( {tags: “Manga”} )
// find posts commented on by Fred
> db.posts.find( {“comments.author” : “Fred” } )
// Aggregation
> db.posts.find( {author: „roger‟} ).count()

9. Query Operators
• Conditional Operators
• $all, $exists, $mod, $ne, $in, $nin, $nor, $or, $size, $type
• $lt, $lte, $gt, $gte
> db.posts.find({tags : {$in : [“Manga”, “animation}]})
• Regular expressions
> db.posts.find({author: /^r/})

10. Indexes
// Index nested documents
> db.posts.ensureIndex( “comments.author”:1 )
 db.posts.find({„comments.author‟:‟Fred‟})
// Index on tags
> db.posts.ensureIndex( tags: 1)
> db.posts.find( { tags: ‟Manga‟ } )

11. Replica Sets
Write
Primary
Read
Asynchronous
Secondary Replication
Read
Secondary
Read

12. Replica Sets
Write
Primary
Read
Secondary
Read
Secondary
Read

13. Replica Sets
Primary
Automatic
Leader Election
Write
Primary
Read
Secondary
Read

14. Replica Sets
Secondary
Read
Write
Primary
Read
Secondary
Read

15. Write Read
MongoS MongoS MongoS MongoS
Key Range Key Range Key Range Key Range
-∞..n1, n6..n7 n1..n2, n7..n8 n3..n4, n8..n9 n5..n6, n9..∞
Primary Primary Primary Primary
Secondary Secondary Secondary Secondary
Secondary Secondary Secondary Secondary

16. MongoDB Use Cases
Content
Analytics E-Commerce
Management
Advertising Gaming Social Network

17. Community
• MongoDB Days
• 23+ MongoDB Days reaching
over 10,000 people annually
• MongoNYC May 23rd
• MongoBoston in Fall
• MongoDB User Groups
• 28 cities with MUGs
• Join Boston MUG
• http://bit.ly/BostonMUG
• User Forum
• http://bit.ly/mongodb-user
• 15,000+ questions answered
• Office Hours
• Coming soon… Suggestions?
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