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Honu:   A large scale data collection and processing pipeline ,[object Object],Netflix
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Session Agenda
Honu ,[object Object],[object Object],[object Object],[object Object],[object Object]
What are we trying to achieve? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
Current Netflix deployment EC2/EMR Applications S3 Hive MetaStore Hive & Hadoop EMR clusters  Hive & Hadoop EMR (for ad-hoc query) Honu Collectors AMAZON EC2
Honu – Client SDK ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Structured Log API ,[object Object],- Tomcat Access Log
Honu - Unstructured/Structured logs  Log4J Appender ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Honu - Structured Log API ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Using Annotations Using the Key/Value API App Hive
Structured Log API – Using Annotation @ Resource (table=”MyTable") public class MyClass  implements Annotatable { @ Column ("movieId") public String getMovieId() { […] } @Column("clickIndex") public int getClickIndex() { […] } @Column("requestInfo") public Map getRequestInfo() { […] } } DB=MyTable Movied=XXXX clieckIndex=3 requestInfo.returnCode=200 requestInfo.duration_ms=300 requestInfo.yyy=zzz log.info(myAnnotatableObj);
Structured Log API - Key/Value API KeyValueSerialization  kv ; kv = new KeyValueSerialization(); […] kv.startMessage("MyTable"); kv.addKeyValue("movieid", ”XXX"); kv.addKeyValue("clickIndex", 3); kv.addKeyValue(”requestInfo", requestInfoMap); DB=MyTable Movied=XXXX clickIndex=3 requestInfo.returnCode=200 requestInfo.duration_ms=300 requestInfo.yyy=zzz log.info(kv.generateMessage());
Honu Collector ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Processing pipeline Application Collector Hive Data collection pipeline Data processing pipeline M/R
Data Processing Pipeline
Data Processing Pipeline - Details ,[object Object],[object Object],[object Object],S3 Map/Reduce Table 1 Table n Table 2 Hourly Merge Hive Hive Load
Hive Data warehouse ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Roadmap for Honu ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Questions? ,[object Object],[object Object],http://wiki.github.com/jboulon/Honu/

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Large scale data collection and processing pipeline Honu

  • 1.
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  • 5. Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
  • 6. Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
  • 7. Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
  • 8. Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
  • 9. Architecture - Overview Application Collector Hive Data collection pipeline Data processing pipeline M/R
  • 10. Current Netflix deployment EC2/EMR Applications S3 Hive MetaStore Hive & Hadoop EMR clusters Hive & Hadoop EMR (for ad-hoc query) Honu Collectors AMAZON EC2
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  • 14. Structured Log API – Using Annotation @ Resource (table=”MyTable") public class MyClass implements Annotatable { @ Column ("movieId") public String getMovieId() { […] } @Column("clickIndex") public int getClickIndex() { […] } @Column("requestInfo") public Map getRequestInfo() { […] } } DB=MyTable Movied=XXXX clieckIndex=3 requestInfo.returnCode=200 requestInfo.duration_ms=300 requestInfo.yyy=zzz log.info(myAnnotatableObj);
  • 15. Structured Log API - Key/Value API KeyValueSerialization kv ; kv = new KeyValueSerialization(); […] kv.startMessage("MyTable"); kv.addKeyValue("movieid", ”XXX"); kv.addKeyValue("clickIndex", 3); kv.addKeyValue(”requestInfo", requestInfoMap); DB=MyTable Movied=XXXX clickIndex=3 requestInfo.returnCode=200 requestInfo.duration_ms=300 requestInfo.yyy=zzz log.info(kv.generateMessage());
  • 16.
  • 17. Data Processing pipeline Application Collector Hive Data collection pipeline Data processing pipeline M/R
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  • 22.

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