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
30k
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
10
4.2k
MongoDB for Analytics
jnunemaker
PRO
11
830
Addicted to Stable
jnunemaker
PRO
32
2.4k
MongoDB for Analytics
jnunemaker
PRO
21
2.2k
Why You Should Never Use an ORM
jnunemaker
PRO
54
9.1k
Why NoSQL?
jnunemaker
PRO
10
900
Don't Repeat Yourself, Repeat Others
jnunemaker
PRO
7
3.3k
I Have No Talent
jnunemaker
PRO
14
930
Why MongoDB Is Awesome
jnunemaker
PRO
18
4.4k
Other Decks in Programming
See All in Programming
バグを見つけた?それAppleに直してもらおう!
uetyo
0
220
Alba: Why, How and What's So Interesting
okuramasafumi
0
190
Stackless и stackful? Корутины и асинхронность в Go
lamodatech
0
1.3k
アクターシステムに頼らずEvent Sourcingする方法について
j5ik2o
6
700
PicoRubyと暮らす、シェアハウスハック
ryosk7
0
200
ESLintプラグインを使用してCDKのセオリーを適用する
yamanashi_ren01
2
200
GitHub CopilotでTypeScriptの コード生成するワザップ
starfish719
26
5.9k
Внедряем бюджетирование, или Как сделать хорошо?
lamodatech
0
930
KMP와 kotlinx.rpc로 서버와 클라이언트 동기화
kwakeuijin
0
290
AIレシート読み取り機能をRuby on Rails on AWSで実現するLLMにまつわるアレコレ / AI-based receipt reading function powered by LLM on Ruby on Rails on AWS
moznion
3
120
VisionProで部屋の明るさを反映させるシェーダーを作った話
segur
0
100
Androidアプリのモジュール分割における:x:commonを考える
okuzawats
1
270
Featured
See All Featured
Done Done
chrislema
182
16k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
173
50k
Stop Working from a Prison Cell
hatefulcrawdad
267
20k
Bash Introduction
62gerente
610
210k
Gamification - CAS2011
davidbonilla
80
5.1k
BBQ
matthewcrist
85
9.4k
Measuring & Analyzing Core Web Vitals
bluesmoon
5
200
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
192
16k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
3
240
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.4k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
27
1.5k
Designing Experiences People Love
moore
139
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