MongoDB for Analytics

Presented at MongoChicago on November 13, 2012.

Transcript

1. GitHub John Nunemaker MongoChicago 2012 November 12, 2012 MongoDB for Analytics A loving conversation with @jnunemaker
2. Background How hernias can be good for you
5. 1 month Of evenings and weekends
6. 18 months Since public launch
7. 10-15 Million Page views per day
8. 2.7 Billion Page views to date
9. 13 tiny servers 2 web, 6 app, 3 db, 2 queue
10. requests/sec
11. ops/sec
12. cpu %
13. lock %
14. Implementation How we do what we do
15. Doing It (mostly) Live No aggregate querying
18. get('/track.gif') do track_service.record(...) TrackGif end
19. class TrackService def record(attrs) message = MessagePack.pack(attrs) @client.set(@queue, message) end end
20. 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
21. http://bit.ly/rt-kestrel
22. 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
23. 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
24. Pros
25. Pros Space
26. Pros Space RAM
27. Pros Space RAM Reads
28. Pros Space RAM Reads Live
29. Cons
30. Cons Writes
31. Cons Writes Constraints
32. Cons Writes Constraints More Forethought
33. Cons Writes Constraints More Forethought No raw data
34. http://bit.ly/rt-counters http://bit.ly/rt-counters2
35. Time Frame Minute, hour, month, day, year, forever?
36. # of Variations One document vs many
37. Single Document Per Time Frame
39. { "t" => 336381, "u" => 158951, "2011" => { "02" => { "18" => { "t" => 9, "u" => 6 } } } }
40. { '$inc' => { 't' => 1, 'u' => 1, '2011.02.18.t' => 1, '2011.02.18.u' => 1, } }
41. Single Document For all ranges in time frame
43. { "_id" =>"...:10", "bx" => { "320" => 85, "480" => 318, "800" => 1938, "1024" => 5033, "1280" => 6288, "1440" => 2323, "1600" => 3817, "2000" => 137 }, "by" => { "480" => 2205, "600" => 7359,
44. "600" => 7359, "768" => 4515, "900" => 3833, "1024" => 2026 }, "sx" => { "320" => 191, "480" => 179, "800" => 195, "1024" => 1059, "1280" => 5861, "1440" => 3533, "1600" => 7675, "2000" => 1279 } }
45. { '$inc' => { 'sx.1440' => 1, 'bx.1280' => 1, 'by.768' => 1, } }
46. Many Documents Search terms, content, referrers...
48. [ { "_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 }, ]
49. Writes {'_id' => "#{sid}:#{hash}"}
50. Reads [['sid', 1], ['v', -1]]
51. Growth Don’t say shard, don’t say shard...
52. Partition Hot Data Currently using collections for time frames
53. [ "content.2011.7", "content.2011.8", "content.2011.9", "content.2011.10", "content.2011.11", "content.2011.12", "content.2012.1", "content.2012.2", "content.2012.3", "content.2012.4", ]
54. [ "resolutions.2011", "resolutions.2012", ]
55. Move
56. Move BigintMove
57. Move BigintMove MakeYouWannaMove
58. Move BigintMove MakeYouWannaMove DaMove
59. Move BigintMove MakeYouWannaMove DaMove SmoothMove
60. Move BigintMove MakeYouWannaMove DaMove SmoothMove NightMove
61. Move BigintMove MakeYouWannaMove DaMove SmoothMove NightMove DanceMove
62. Bigger, Faster Server More CPU, RAM, Disk Space
63. Users Sites Content Referrers Terms Engines Resolutions Locations Users Sites Content Referrers Terms Engines Resolutions Locations
64. Partition by Function Spread writes across a few servers
65. Users Sites Content Referrers Terms Engines Resolutions Locations
66. Partition by Server Spread writes across a ton of servers, way down the road, not worried yet
67. GitHub Thank you! john@github.com John Nunemaker MongoChicago 2012 November 12, 2012 @jnunemaker