1. What’s new in
MongoDB Version 2.2
20 September 2012
# m o n g od b2do t2

2. Intro & Welcome
Dwight Merriman, CEO & Co-Founder, 10gen

3. The Aggregation
Framework
Edouard Servan-Schreiber, Ph.D, Director of Solutions Architecture, 10gen

4. Analytic Options
Aggregation
Framework
Map/Reduce
Framework
Hadoop
Connector

5. Operators
{ SELECT author,
_id: ….. count(*) as postCnt,
author: "edouard", sum(views) as viewCnt
status: "active", FROM …..
post:"this is brilliant and wise and useful", GROUP BY author
tags:["brilliant", "wise", "useful"],
views: 10
}
db.agg_test.aggregate(
{$group :
{ {_id: "$author",
_id: ….. postCnt: {$sum : 1},
author: "ron", viewCnt: {$sum: "$views"}
status: "active", }
post:"this is phenomenal and useful", }
tags:["phenomenal", "useful"], )
views: 15
}
$match $project $unwind $group $match $sort $limit
where clause select clause pivot an array group by clause having clause order by clause top clause

6. Operators
{ "result" : [
_id: ….. {
author: "edouard", "_id" : "useful",
status: "active", "authors" : [
post:"this is brilliant and wise and useful", "ron",
tags:["brilliant", "wise", "useful"], "edouard"
views: 10 ],
} "postCnt" : 2,
"viewCnt" : 25
},
{ {
_id:….. "_id" : "phenomenal",
author: "ron", "authors" : [
status: "active", "ron"
post:"this is phenomenal and useful", ],
tags:["phenomenal", "useful"], "postCnt" : 1,
views: 15 "viewCnt" : 15
} }
],
"ok" : 1
}
$match $project $unwind $group $match $sort $limit
where clause select clause pivot an array group by clause having clause order by clause top clause

7. Operators
{ db.agg_test.aggregate( {
_id: ….. "result" : [
author: "edouard", {$match: {status: "active"}}, {
status: "active", {$project : "_id" : "useful",
post:"this is brilliant and wise and useful", {author: 1, "authors" : [
tags:["brilliant", "wise", "useful"], tags: 1, "ron",
views: 10 views : 1 "edouard"
} } ],
}, "postCnt" : 2,
{$unwind : "$tags"}, "viewCnt" : 25
{ {$group : },
_id:….. {_id: "$tags", {
author: "ron", authors: { $addToSet: "$author"}, "i"hnmnl,
_: eo ea
dp "
status: "active", postCnt: {$sum : 1}, "authors" : [
post:"this is phenomenal and viewCnt: {$sum: "$views"} "ron"
useful", } ],
tags:["phenomenal", "useful"], }, "postCnt" : 1,
views: 15 {$match : {viewCnt : {$gte: 10}}}, "viewCnt" : 15
} {$sort: {viewCnt : -1}}, }
{$limit: 2} ],
"ok" : 1
) }
$match $project $unwind $group $match $sort $limit
where clause select clause pivot an array group by clause having clause order by clause top clause

8. Separable Workload
Operational Workload Analytical Workload
for users for business

9. Concurrency
Dwight Merriman, CEO & Co-Founder, 10gen

11. Yield-on-page fault.
(“PageFaultException”)

12. Lock per
database

13. Replication and Secondaries

14. Monitoring and Diagnostics
• db.currentOp()
• db.serverStatus()
• mongostat
• mongotop --locks
• MMS (Mongo Monitoring Service)

15. MMS

16. MMS

18. Data Center Awareness
Eliot Horowitz, CTO & Co-Founder, 10gen

19. myphotos.com

20. 2.0 Setup
NYC SFO
Shard1 Primary Secondary
Shard2 Primary Secondary
My Writes My Reads
Boston 8ms 8ms
Chicago 23ms 23ms
Los Angeles 83ms 83ms
Paris 133ms 133ms
Tokyo 174ms 174ms

21. Tag Aware Sharding
{
country : “USA” ,
region : “CA” ,
picture_id : 12345
}

22. 2.2 Setup
SFO NYC Tag
Shard1 Primary Secondary SFO
Shard2 Secondary Primary NYC
country region tag
USA CA SFO
USA FL NYC
USA CA SFO

23. My Writes My Reads
Boston 8ms 8ms
Chicago 23ms 23ms
Los Angeles 10ms 10ms
Paris 133ms 133ms
Tokyo 95ms 95ms

24. 2.2 Setup
SFO NYC Amsterdam Tokyo Tag
Shard1 Primary Secondary SFO
Shard2 Secondary Primary NYC
Shard3 Secondary Primary EMEA
Shard4 Secondary Primary JAPAN
country region tag
USA CA SFO
USA FL NYC
USA CA SFO
FRANCE EMEA
CHINA JAPAN

25. My Writes My Reads
Boston 8ms 8ms
Chicago 23ms 23ms
Los Angeles 10ms 10ms
Paris 10ms 10ms
Tokyo 5ms 5ms

26. My Writes My Reads Other Reads
Boston 8ms 8ms 8ms
Chicago 23ms 23ms 23ms
Los Angeles 10ms 10ms 10ms
Paris 10ms 10ms 10ms
Tokyo 5ms 5ms 5ms

28. My Writes My Reads Other Reads
Boston 8ms 8ms 8ms
Chicago 23ms 23ms 23ms
Los Angeles 10ms 10ms 10ms
Paris 10ms 10ms 10ms
Tokyo 5ms 5ms 5ms

29. Archival

30. TTL Collections
Andrew Erlichson, VP of Education, 10gen

31. Motivation
Caching

32. Motivation
Caching
Operational
Logging

33. Motivation
Caching
Operational
Logging
Login Sessions

34. Capped Collections

39. Introducing
TTL Collections
(Time To Live)

40. Example of a TTL collection
{
_id: ObjectID(“62x4lad7za2”),
username: “joe”,
session_id: “x3490dfds383”,
last_activity: ISODate(“2012-09-20T05:23:23”)
}

41. Making a collection TTL
db.sessions.ensureIndex({“last_activity”: 1
“expireAfterSeconds”: 900})

43. FREE Online
MongoDB Classes
education.10gen.com

48. Closing Remarks
and Q&A
Eliot Horowitz, CTO & Co-Founder, 10gen