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Cluster Performance Tuning

FIND A LOCAL INSTRUCTOR-LED CLASS

About this Course

Cluster administrators are responsible not only for keeping a cluster running, but also for making sure it performs effectively and efficiently. This course first teaches you to tune MapR-XD and YARN parameters to optimize cluster performance. This course is for the cluster administrator who has set up their cluster to run batch YARN jobs, and who now seeks to run complex real-time queries on data. You will learn how to re-evaluate the cluster resources and make modifications to ensure that both types of jobs can run effectively and efficiently.

Duration: 1.5 days

What’s Covered in the Course

Welcome to Class (Day 1)
  • Configure the Training Environment
  • Understand the Lab Environment
Lab Activities
    • Configure the Training Environment
    • Connect to Your Cluster
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 (Day 2)
  • Tune yarn-site.xml
  • Tune mapred-site.xml for MapReduce Applications
Lab Activities
    • Tune yarn-site.xml
    • Tune mapred-site.xml
    • Install Drill and Tune Parameters
5: Tuning After Changes
  • Adjust After Adding Ecosystem Components
  • Add Disks or Nodes
  • Troubleshooting Performance Problems
Lab Activities
    • No labs