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Twitter by the Numbers (Columbia University)
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Twitter by the Numbers (Columbia University)

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The version of "Twitter by the Numbers" that I delivered at Columbia University for @TwitterU. 22 Feb 2011.

The version of "Twitter by the Numbers" that I delivered at Columbia University for @TwitterU. 22 Feb 2011.

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  • Wow! These are mind boggling (and awesome to work with technology that supports this). Thanks for sharing this!
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    Twitter by the Numbers (Columbia University) Twitter by the Numbers (Columbia University) Presentation Transcript

    • by the #s with @raffi
    • Giv ing a @twitter t alk at ColumbiaUni versity talking a bout Twitter’sNumbers!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
    • http://twitter.com/#!/toptweets/status/12483108178
    • http://twitter.com/#!/Emergency_In_SF/status/29440739442
    • http://twitter.com/#!/i80chains/status/9726084734
    • http://twitter.com/#!/remedyoakland/status/29002198672
    • http://twitter.com/#!/AlbionsOven/status/10015063036
    • What’s a Tweet?It’s a short message thats sent through 140 characters
    • How many are there?
    • How many are there? 110M!
    • 110M tweets 1200 tweets per day ≈ per second
    • How big are they? 1 tweet text = 140 characters ≈ 200 bytes
    • 1200 tweets per ≈ 230 KB/sec second ≈ 14 MB/min ≈ 19 GB/day Just tweet text!
    • MySQL Can’t generate IDs fast enoughCentralized and a single point of failure snowflake Highly available and uncoordinated (10kqps) Compatible with the ecosystem http://github.com/twitter/snowflake
    • ampura mons from ch used under Creative Com Photo1 TB generated 10 TB generated per day per day
    • 10 TBper day in total ≈ 120 MB per sec 80 MB = per sec Photo used u n der Creative C ommons from Mac Users G uide
    • Where do they go? Followed by Following Asymmetric Digraph
    • 1 Digraph 2 Need to represent this 4 1 2 3 4 31 Matrix2 Naïve implementation is not scalable34
    • 200M registered users 2006 2008 2010 2011
    • Photo used under Creative Commons from jurvetson Distributed graph databaseflockdb High rate of CRUD operations Complex set arithmetic queries http://github.com/twitter/flockdb
    • @ladygagamother mons†er8.3 million followers@justinbieberJustin Bieber7.5 million followers@BarakObama44th President of the United States6.7 million followers@raffime!0.007 million followers
    • How do they get out? 10B API calls 100,000 calls per day ≈ per second
    • REST API XML/JSON API over HTTPPoll-based system / pseudo real-time hosebird Streaming API Long poll HTTP Near real-time delivery of Tweets
    • Latency200ms100ms 0ms
    • 752%in 2008
    • 1358% in 2009
    • Where do we want to be? Today - 200M people generate ~1200 TPSTomorrow - we want to support half the world and all its devices (5B phones and 6B people)
    • Real challenges in front of us Real time Indexing, search, and analytics Relevance systems Graph databases Storage Scalability and efficiency
    • Follow me atQuestions? twitter.com/raffi