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
October 18, 2011
Programming
16
29k
MongoDB for Analytics
Presented at Mongo Chicago 2011.
John Nunemaker
PRO
October 18, 2011
Tweet
Share
More Decks by John Nunemaker
See All by John Nunemaker
Atom
jnunemaker
PRO
8
3.3k
MongoDB for Analytics
jnunemaker
PRO
9
730
Addicted to Stable
jnunemaker
PRO
32
2.2k
MongoDB for Analytics
jnunemaker
PRO
21
2.2k
Why You Should Never Use an ORM
jnunemaker
PRO
51
8.9k
Why NoSQL?
jnunemaker
PRO
10
850
Don't Repeat Yourself, Repeat Others
jnunemaker
PRO
7
3.2k
I Have No Talent
jnunemaker
PRO
14
880
Why MongoDB Is Awesome
jnunemaker
PRO
18
4.3k
Other Decks in Programming
See All in Programming
Folding Cheat Sheet #7
philipschwarz
PRO
0
150
Introduction to GitOps
hwchiu
0
110
Javaの現状2024夏 / Java current status 2024 summer
kishida
4
1.4k
Polarsの成長: v0.14からv1.0までの変遷と今後の展望
zerebom
1
350
CSC307 Lecture 10
javiergs
PRO
0
310
Xcode 16のPreviewModifierと@Previewableを活用した効率的なプレビュー方法の考察
ojun9
2
160
DDDを志して3年経ったら「DDDの皮を被ったクリーンアーキテクチャ」になった話【デブサミ2024夏】
texmeijin
1
620
企業向け生成AIアプリの 開発から得られた知見
takaakikakei
0
310
APIのない大学ログインWebサービスをWKWebViewとJavaScriptでアプリ化した話
akidon0000
1
330
Prompt FlowによるLLMアプリケーション開発
yuto2000
1
1k
Introduction of Happy Eyeballs Version 2 (RFC8305) to the Socket library
coe401_
1
220
Rubyのパフォーマンスプロファイリングの改善 / Enhancing performance profiling for Ruby
osyoyu
1
410
Featured
See All Featured
Web development in the modern age
philhawksworth
203
10k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
44
4.7k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
90
47k
GitHub's CSS Performance
jonrohan
1026
450k
WebSockets: Embracing the real-time Web
robhawkes
59
7.2k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
245
1.2M
Writing Fast Ruby
sferik
623
60k
4 Signs Your Business is Dying
shpigford
178
21k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
17
8.7k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
248
20k
Building Your Own Lightsaber
phodgson
101
5.9k
The Language of Interfaces
destraynor
151
23k
Transcript
Ordered List John Nunemaker MongoChi 2011 October 18, 2011 MongoDB
for Analytics A loving conversation with @jnunemaker
Background As presented through interpretive dance
None
None
None
~1 month Of evenings and weekends
~4 dog years Since public launch
~6 tiny servers 2 web, 2 app, 2 db
~1-2 Million Page views per day
None
None
Implementation Imma show you how we do what we do
baby
Doing It Live No aggregate querying
get('/track.gif') do Hit.record(...) TrackGif end
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
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' => "#{site_id}:#{hash}"}
Reads [['sid', 1], ['v', -1]]
Growth The best laid plans of mice and men
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
Ordered List Thank you!
[email protected]
John Nunemaker MongoChi 2011 October
18, 2011 @jnunemaker