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Apache Storm Internals

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Apache Storm Internals

  1. 1. STORM ANATOMY Cloud Computing Course Prof Hanku Lee Social Media Cloud Computing lab MSAkhmedov Khumoyun
  2. 2. What is Stream processing  Stream processing is a technical paradigm to process big volume of unbound sequence of tuples in realtime = stream Source Stream Processor • Continuous analytics • Online machine learning • Sensor data monitoring • Financial trading …
  3. 3. Storm at Twitter Twitter Web Analytics
  4. 4. What is Storm? Storm is • Fast & scalable • Fault-tolerant • Guarantees messages will be processed • Easy to setup & operate • Free & open source distributed realtime computation system - Originally developed by Nathan Marz at BackType (acquired by Twitter) - Written in Java and Clojure
  5. 5. Conceptual View
  6. 6. Physical View
  7. 7. Concepts  Streams  Spouts  Bolts  Topologies
  8. 8. Streams Unbounded sequence of tuples
  9. 9. Spouts Source of streams • Read from Kafka queue • Read from Twitter Streaming API
  10. 10. Bolts Processes input streams and produces new streams
  11. 11. Bolts • Functions • Filters • Aggregation • Joins • Talk to databases
  12. 12. Topology Network of spouts and bolts
  13. 13. Tasks Spouts and bolts execute as many tasks across the cluster
  14. 14. Stream grouping When a tuple is emitted, which task does it go to?
  15. 15. Stream grouping • Shuffle grouping: pick a random task • Fields grouping: consistent hashing on a subset of tuple fields • All grouping: send to all tasks • Global grouping: pick task with lowest id
  16. 16. Starting topology
  17. 17. Starting topology
  18. 18. Storm : Fault-tolerance
  19. 19. Storm : Fault-tolerance
  20. 20. Storm : Fault-tolerance
  21. 21. Storm : Fault-tolerance
  22. 22. Storm : Fault-tolerance
  23. 23. Guarantees messages will be processed
  24. 24. Message Passing (ZeroMQ)
  25. 25. Easy to setup & operate • Setup ZooKeeper cluster • Install dependencies on Nimbus and worker machines - ZeroMQ 2.1.7 and JZMQ - Java 6 and Python 2.6.6 - unzip • Download and extract a Storm release to Nimbus and worker machines • Fill in mandatory configuration into storm.yaml • Launch daemons under supervision using “storm” script
  26. 26. Cluster Summary
  27. 27. Topology Summary
  28. 28. Component Summary
  29. 29. Advanced Topics • Distributed RPC • Transactional topologies • Trident • Using non-JVM languages with Storm • Unit testing • Patterns
  30. 30. Real-time TwitterAnalytics Trending Topics and SentimentAnalysis Twitter MySQL Kafka Storm Cluster Hadoop (HDFS and HBase ) Twitter Crawler
  31. 31. THANK YOU FOR ATTENTION Any Questions AreWelcome…

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