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Twitter by the Numbers (Columbia University)
- 1. by the #s with @raffi
- 2. Giv ing a @twitter t alk at Columbia Uni versity talking a bout Twitter’s Numbers! 22 Feb via Twitter for iPhone ty from Mudd Building at Columbia Universi 500 West 120th Street New York, New York View Tweets at this place
- 9. What’s a Tweet? It’s a short message that's sent through 140 characters
- 10. How many are there?
- 11. How many are there? 110M!
- 12. 110M tweets 1200 tweets per day ≈ per second
- 17. How big are they? 1 tweet text = 140 characters ≈ 200 bytes
- 18. 1200 tweets per ≈ 230 KB/sec second ≈ 14 MB/min ≈ 19 GB/day Just tweet text!
- 19. MySQL Can’t generate IDs fast enough Centralized and a single point of failure snowflake Highly available and uncoordinated (10kqps) Compatible with the ecosystem http://github.com/twitter/snowflake
- 20. ampura mons from ch used under Creative Com Photo 1 TB generated 10 TB generated per day per day
- 21. 10 TB per day in total ≈ 120 MB per sec 80 MB = per sec Photo used u n der Creative C ommons from Mac Users G uide
- 23. Where do they go? Followed by Following Asymmetric Digraph
- 24. 1 Digraph 2 Need to represent this 4 1 2 3 4 3 1 Matrix 2 Naïve implementation is not scalable 3 4
- 25. 200M registered users 2006 2008 2010 2011
- 26. Photo used under Creative Commons from jurvetson Distributed graph database flockdb High rate of CRUD operations Complex set arithmetic queries http://github.com/twitter/flockdb
- 27. @ladygaga mother mons†er 8.3 million followers @justinbieber Justin Bieber 7.5 million followers @BarakObama 44th President of the United States 6.7 million followers @raffi me! 0.007 million followers
- 29. How do they get out? 10B API calls 100,000 calls per day ≈ per second
- 30. REST API XML/JSON API over HTTP Poll-based system / pseudo real-time hosebird Streaming API Long poll HTTP Near real-time delivery of Tweets
- 33. 752% in 2008
- 34. 1358% in 2009
- 35. Where do we want to be? Today - 200M people generate ~1200 TPS Tomorrow - we want to support half the world and all its devices (5B phones and 6B people)
- 36. Real challenges in front of us Real time Indexing, search, and analytics Relevance systems Graph databases Storage Scalability and efficiency
- 37. Follow me at Questions? twitter.com/raffi