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Chirp
Hack Day Report
)
    wada@garage.co.jp
        @Koichi
• 
     –  wada@garage.co.jp
     –  @Koichi
• 
     –  http://twinavi.jp
Chirp
•  4/14, 15 in San Francisco
• 
  –  Chirp
  –  Hack Day
Chirp
1   -Conference
1   -   Hack Day Start
1   -   Ignite
1   -   Coding time
2   -
-Sessions
2   -Lunch, Meet The
      founders
•    2
• 
• 
Hack Day
• 
• 
• 
     – 
     – 
•  SPAM
     –    DM
• 
     – 
(2)
• 
     –  Tweet Display Guidlines
          •  http://media.twitter.com/14/tweet-display-guidelines
     –  Terms Of Service
          •  http://twitter.com/tos
• 
•  Awesome
     –            !
(3)
•  API               Cache
•        OAuth Key
• 
•            at slideshare - #chirppolicy
     –  We Have Faith in (Most of) You: How
        Twitter Crafts Policies to Allow Good Apps
        to Thrive
     –  http://www.slideshare.net/delbius/
        chirppolicy
Twitter


           7TB/
Chirp
              GB
Challenge
• 
•    &
• 
•    syslog-ng
• 
•  Scribe
  –  Facebook

  –  Thrift
  – 
Scribe
• 
     – 
• 
     – 
• 


                   HDFS
•  7TB/
•         80MB/s
•  24.3
• 
• 
•  Hadoop
  – 
  –  MapReduce
  – 
  –  Y!  4000
  –  1TB         62
•  MySQL
     –          : COUNT, GROUP
     –               : JOIN
•          Hadoop
     –                  5
     – 
     – 
•              Java
• 
     –  MapReduce
     – 
•  Pig
  – 
  –  SQL
  – 
  –      1
Pig sample
users = load ‘users.csv’ as (username: charaarray, age: int);
users_1825 = filter users by age >= 18 and age <=25;
pages = load ‘pages.csv’ as (username: chararay, url: chararray)
joined = join users_1825 by username, pages by username;
grouped = group joined by url;
summed = foreach grouped generate group as url, COUNT
(joined) AS views;
sorted = order summed by views desc;
top_5 = limit sorted 5;
store top_t into ‘top_5_sites.csv’
Java

5%
• 

     –  Scribe
     –  Hadoop
     –  Pig

•            at slideshare -   #chirpdata
     –  Analyzing Big Data at Twitter
     –  http://www.slideshare.net/kevinweil/big-data-at-
        twitter-chirp-2010
• 
• 
• 

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Open Network Live - Hack Day Report

  • 1. Chirp Hack Day Report ) wada@garage.co.jp @Koichi
  • 2. •  –  wada@garage.co.jp –  @Koichi •  –  http://twinavi.jp
  • 3. Chirp •  4/14, 15 in San Francisco •  –  Chirp –  Hack Day
  • 5. 1 -Conference
  • 6. 1 - Hack Day Start
  • 7. 1 - Ignite
  • 8. 1 - Coding time
  • 9. 2 -
  • 11. 2 -Lunch, Meet The founders
  • 12. •  2 •  • 
  • 15.
  • 16. •  –  –  •  SPAM –  DM •  – 
  • 17. (2) •  –  Tweet Display Guidlines •  http://media.twitter.com/14/tweet-display-guidelines –  Terms Of Service •  http://twitter.com/tos •  •  Awesome –  !
  • 18. (3) •  API Cache •  OAuth Key
  • 19. •  •  at slideshare - #chirppolicy –  We Have Faith in (Most of) You: How Twitter Crafts Policies to Allow Good Apps to Thrive –  http://www.slideshare.net/delbius/ chirppolicy
  • 20.
  • 21. Twitter 7TB/ Chirp GB
  • 23. •  syslog-ng • 
  • 24. •  Scribe –  Facebook –  Thrift – 
  • 25. Scribe •  –  •  –  •  HDFS
  • 26. •  7TB/ •  80MB/s •  24.3 •  • 
  • 27. •  Hadoop –  –  MapReduce –  –  Y! 4000 –  1TB 62
  • 28. •  MySQL –  : COUNT, GROUP –  : JOIN •  Hadoop –  5 –  – 
  • 29. •  Java •  –  MapReduce – 
  • 30. •  Pig –  –  SQL –  –  1
  • 31. Pig sample users = load ‘users.csv’ as (username: charaarray, age: int); users_1825 = filter users by age >= 18 and age <=25; pages = load ‘pages.csv’ as (username: chararay, url: chararray) joined = join users_1825 by username, pages by username; grouped = group joined by url; summed = foreach grouped generate group as url, COUNT (joined) AS views; sorted = order summed by views desc; top_5 = limit sorted 5; store top_t into ‘top_5_sites.csv’
  • 33. •  –  Scribe –  Hadoop –  Pig •  at slideshare - #chirpdata –  Analyzing Big Data at Twitter –  http://www.slideshare.net/kevinweil/big-data-at- twitter-chirp-2010