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Mastering Hadoop 3

You're reading from  Mastering Hadoop 3

Product type Book
Published in Feb 2019
Publisher Packt
ISBN-13 9781788620444
Pages 544 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (23) Chapters close

Title Page
Dedication
About Packt
Foreword
Contributors
Preface
1. Journey to Hadoop 3 2. Deep Dive into the Hadoop Distributed File System 3. YARN Resource Management in Hadoop 4. Internals of MapReduce 5. SQL on Hadoop 6. Real-Time Processing Engines 7. Widely Used Hadoop Ecosystem Components 8. Designing Applications in Hadoop 9. Real-Time Stream Processing in Hadoop 10. Machine Learning in Hadoop 11. Hadoop in the Cloud 12. Hadoop Cluster Profiling 13. Who Can Do What in Hadoop 14. Network and Data Security 15. Monitoring Hadoop 1. Other Books You May Enjoy Index

Mix-workloads


This section covers the benchmarking strategy for mixed loads on clusters such as MapReduce history job profiling and other production job profiling.

Rumen

Apache Rumen is the tool that parses your MapReduce job history logs. It outputs meaningful and easily readable text. The output from this job is used in other benchmarking tools like YARN Scheduler Load Simulator or Gridmix. It has the following two parts:

  1. Tracebuilder: Converts Hadoop job history logs to an easily parsable format, JSON. The following is the command to run Tracebuilder (Ref: Hadoop3 Documentation):
      hadoop rumentrace [options] <jobtrace-output> <topology-output> <inputs>

      <jobtrace-output> - Location of the Json output file
      <topology-output> - Cluster layout file
      <inputs> - Jobhistory logs location

      Options are
      -demuxer  Used to read the jobhistory files. The default isDefaultInputDemuxer.
      -recursive Recursively traverse input paths...
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