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Twitter by the Numbers - A Look at Tweet Volume, Users, APIs and More
- 1. by the #s
- 2. witter by the ing a t alk entitled “T Giv @twit terU a t Cal. Number s” with Lots o f ##s! ne Tw itter for iPho 1m inute ago via on Retweet ed by 1 pers
- 3. What’s a Tweet? It’s a short message that's sent through 140 characters
- 4. How many are there?
- 5. How many are there? 70M 60M Today! * *off the chart
- 6. op_oh Commons from lo der Creative Photo used un 47M served 70M tweets per day per day
- 7. 70M tweets per day = 800 tweets per second
- 9. How big are they? 1 tweet text = 140 characters ≈ 200 bytes
- 10. 800 tweets per second ≈ 160 KB/sec ≈ 9 MB/min ≈ 12 GB/day Just tweet text!
- 11. 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
- 12. ampura Commons from ch der Creative Photo used un 1 TB generated 8 TB generated per day per day
- 13. 8 TB per day in total ≈ 100 MB per sec Photo used u nder Creative C ommons from Mac Users G uide = 80 MB per sec
- 14. Where do they go? Followed by Following Asymmetric Digraph
- 15. Tweets multiply
- 16. 1 Digraph 2 Need to represent this 4 1 2 3 4 3 1 Matrix 2 Naïve implementation is not scalable 3 4
- 17. 150M registered users 2006 2008 2010
- 18. 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
- 19. @ladygaga mother mons†er 6.1 million followers @BarakObama 44th President of the United States 5.3 million followers @justinbieber Justin Bieber 5.1 million followers @raffi me! 4.1 thousand followers
- 20. How do they get out? 6B API calls per day ≈ 70,000 calls per second
- 21. 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
- 22. 752% in 2008
- 23. 1358% in 2009
- 24. Where do we want to be? Today - 150M people generate ~1000 TPS Tomorrow - we want to support half the world and all its devices (5B phones and 6B people)
- 25. Real challenges in front of us Real time Indexing, search, and analytics Relevance systems Graph databases Storage Scalability and efficiency
- 26. Questions? Follow me at twitter.com/raffi