An Introduction to Apache Hadoop Yarn

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An Introduction to Apache Hadoop Yarn, what is it and why is it important ? What does it improve in Apache Hadoop ?

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An Introduction to Apache Hadoop Yarn

  1. 1. Apache Hadoop Yarn ● What is Yarn ● Problems with Hadoop ● What does Yarn Do ? ● Old Architecture ● New Architecture ● Yarn Example ● Additions
  2. 2. Hadoop Yarn – What is it ? ● Next Generation MapReduce MRv2 ● Split Job Tracker into – Resource Manager – Scheduling / Monitoring ● Improves scaling ● Improves resource management ● Already used by Yahoo
  3. 3. Problems with Hadoop 1.0 ● Problems with large scaling – > 4000 nodes – > 40k concurrent tasks ● Problems with resource utilization ● Slots only for Map or Reduce ● Single NameNode, single point of failure ● Clients and Cluster must be at same version
  4. 4. What does Yarn do ? ● Provides a cluster level resource manager ● Adds application level resource management ● Provides slots for jobs other than Map / Reduce ● Improves resource utilization
  5. 5. Old Architecture ● Cluster level Job Tracker, Task Tracker on data node
  6. 6. New Architecture
  7. 7. New Architecture ● Resource Manager – Cluster level resource manager – Long life ● Node Manager – One per data server – Monitors resources on node ● Application Master – One per application – Short life – Manages task / scheduling
  8. 8. Yarn Example
  9. 9. Yarn Example ● 1) Client -> Resource Manager – Submit App Master ● 2) Resource Manager -> Node Manager – Start App Master ● 3) Application Master -> Resource Manager – Request and release containers ● 4) Resource Manager -> Node Manager – Start tasks in containers
  10. 10. Additions ● Consider Weave – Simplifies the use of Yarn – Reduced development effort – Simplified API
  11. 11. Contact Us ● Feel free to contact us at – www.semtech-solutions.co.nz – info@semtech-solutions.co.nz ● We offer IT project consultancy ● We are happy to hear about your problems ● You can just pay for those hours that you need ● To solve your problems

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