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Cluster Performance Tuning

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About this Course

This course teaches you to tune MapR-XD and YARN parameters to optimize cluster performance. After setting up your cluster to run batch YARN jobs, the next steps are to run complex real-time queries on data. You will learn how to re-evaluate cluster resources and make modifications to ensure that both types of jobs - realtime and batch - can run effectively and efficiently.

What’s Covered in the Course

1: Prepare a High-Performing Cluster
  • Prepare Nodes
  • Prepare the OS
Lab Activities
    • No Labs
2: Perform Initial Tuning
  • Measure Performance
  • Plan the Allocation of Job Resources
Lab Activities
    • Initial Tuning
    • Measure Performance
3: Tune MapR
  • Tune MapR-XD Parameters
  • Tune warden.conf Service
Lab Activities
    • Tune MapR-XD Parameters
    • Tune warden.conf Service
4: Tune Cluster Applications
  • Tune yarn-site.xml
  • Tune mapred-site.xml for MapReduce
  • Applications
Lab Activities
    • Tune yarn-site.xml
    • Tune mapred-site.xml
5: Tuning After Changes
  • Make Changes After Adding Ecosystem
  • Components
  • Add Disks or Nodes
  • Troubleshoot Performance Problems
Lab Activities
    • Install Drill and Tune Parameters