Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
MongoDB for Analytics
Search
John Nunemaker
PRO
May 04, 2012
Programming
21
2.3k
MongoDB for Analytics
Presented at MongoSF on May 4th, 2012.
John Nunemaker
PRO
May 04, 2012
Tweet
Share
More Decks by John Nunemaker
See All by John Nunemaker
Atom
jnunemaker
PRO
10
4.3k
MongoDB for Analytics
jnunemaker
PRO
11
950
Addicted to Stable
jnunemaker
PRO
32
2.6k
MongoDB for Analytics
jnunemaker
PRO
16
30k
Why You Should Never Use an ORM
jnunemaker
PRO
59
9.5k
Why NoSQL?
jnunemaker
PRO
10
960
Don't Repeat Yourself, Repeat Others
jnunemaker
PRO
7
3.5k
I Have No Talent
jnunemaker
PRO
14
980
Why MongoDB Is Awesome
jnunemaker
PRO
18
4.5k
Other Decks in Programming
See All in Programming
パフォーマンスチューニングで Web 技術を深掘り直す
progfay
18
4.8k
CSC509 Lecture 01
javiergs
PRO
1
430
Pull-Requestの内容を1クリックで動作確認可能にするワークフロー
natmark
1
330
2分台で1500examples完走!爆速CIを支える環境構築術 - Kaigi on Rails 2025
falcon8823
3
2.5k
CSC305 Lecture 04
javiergs
PRO
0
230
気づいて!アプリからのSOS 〜App Store Connect APIで始めるパフォーマンス健康診断〜
waka12
0
250
半自動E2Eで手っ取り早くリグレッションテストを効率化しよう
beryu
6
2.4k
Introducing ReActionView: A new ActionView-Compatible ERB Engine @ Kaigi on Rails 2025, Tokyo, Japan
marcoroth
3
690
ABEMAモバイルアプリが Kotlin Multiplatformと歩んだ5年 ─ 導入と運用、成功と課題 / iOSDC 2025
akkyie
0
300
クラシルを支える技術と組織
rakutek
0
190
実践AIチャットボットUI実装入門
syumai
7
2.4k
Swiftビルド弾丸ツアー - Swift Buildが作る新しいエコシステム
giginet
PRO
0
1.6k
Featured
See All Featured
[RailsConf 2023] Rails as a piece of cake
palkan
57
5.9k
Unsuck your backbone
ammeep
671
58k
Art, The Web, and Tiny UX
lynnandtonic
303
21k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
252
21k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
A Modern Web Designer's Workflow
chriscoyier
697
190k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
18
1.2k
Docker and Python
trallard
46
3.6k
Building an army of robots
kneath
306
46k
Building a Modern Day E-commerce SEO Strategy
aleyda
43
7.7k
Visualization
eitanlees
148
16k
The Straight Up "How To Draw Better" Workshop
denniskardys
237
140k
Transcript
GitHub John Nunemaker MongoSF 2012 May 4, 2012 MongoDB for
Analytics A loving conversation with @jnunemaker
None
Background How hernias can be good for you
None
None
1 month Of evenings and weekends
1 year Since public launch
13 tiny servers 2 web, 6 app, 3 db, 2
queue
7-8 Million Page views per day
None
None
None
None
Implementation Imma show you how we do what we do
baby
Doing It (mostly) Live No aggregate querying
None
None
get('/track.gif') do track_service.record(...) TrackGif end
class TrackService def record(attrs) message = MessagePack.pack(attrs) @client.set(@queue, message) end
end
class TrackProcessor def run loop { process } end def
process record @client.get(@queue) end def record(message) attrs = MessagePack.unpack(message) Hit.record(attrs) end end
http://bit.ly/rt-kestrel
class Hit def record site.atomic_update(site_updates) Resolution.record(self) Technology.record(self) Location.record(self) Referrer.record(self) Content.record(self)
Search.record(self) Notification.record(self) View.record(self) end end
class Resolution def record(hit) query = {'_id' => "..."} update
= {'$inc' => {}} update['$inc']["sx.#{hit.screenx}"] = 1 update['$inc']["bx.#{hit.browserx}"] = 1 update['$inc']["by.#{hit.browsery}"] = 1 collection(hit.created_on) .update(query, update, :upsert => true) end end end
Pros
Pros Space
Pros Space RAM
Pros Space RAM Reads
Pros Space RAM Reads Live
Cons
Cons Writes
Cons Writes Constraints
Cons Writes Constraints More Forethought
Cons Writes Constraints More Forethought No raw data
http://bit.ly/rt-counters http://bit.ly/rt-counters2
Time Frame Minute, hour, month, day, year, forever?
# of Variations One document vs many
Single Document Per Time Frame
None
{ "t" => 336381, "u" => 158951, "2011" => {
"02" => { "18" => { "t" => 9, "u" => 6 } } } }
{ '$inc' => { 't' => 1, 'u' => 1,
'2011.02.18.t' => 1, '2011.02.18.u' => 1, } }
Single Document For all ranges in time frame
None
{ "_id" =>"...:10", "bx" => { "320" => 85, "480"
=> 318, "800" => 1938, "1024" => 5033, "1280" => 6288, "1440" => 2323, "1600" => 3817, "2000" => 137 }, "by" => { "480" => 2205, "600" => 7359,
"600" => 7359, "768" => 4515, "900" => 3833, "1024"
=> 2026 }, "sx" => { "320" => 191, "480" => 179, "800" => 195, "1024" => 1059, "1280" => 5861, "1440" => 3533, "1600" => 7675, "2000" => 1279 } }
{ '$inc' => { 'sx.1440' => 1, 'bx.1280' => 1,
'by.768' => 1, } }
Many Documents Search terms, content, referrers...
None
[ { "_id" => "<oid>:<hash>", "t" => "ruby class variables",
"sid" => BSON::ObjectId('<oid>'), "v" => 352 }, { "_id" => "<oid>:<hash>", "t" => "ruby unless", "sid" => BSON::ObjectId('<oid>'), "v" => 347 }, ]
Writes {'_id' => "#{sid}:#{hash}"}
Reads [['sid', 1], ['v', -1]]
Growth Don’t say shard, don’t say shard...
Partition Hot Data Currently using collections for time frames
Bigger, Faster Server More CPU, RAM, Disk Space
Users Sites Content Referrers Terms Engines Resolutions Locations Users Sites
Content Referrers Terms Engines Resolutions Locations
Partition by Function Spread writes across a few servers
Users Sites Content Referrers Terms Engines Resolutions Locations
Partition by Server Spread writes across a ton of servers,
way down the road, not worried yet
GitHub Thank you!
[email protected]
John Nunemaker MongoSF 2012 May 4,
2012 @jnunemaker