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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
Tools
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Table of Contents (20) Chapters Close

Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

YARN label-based scheduling


In this recipe, we will configure YARN label-based scheduling. In a cluster, there can be a mixture of nodes with different configurations, some with more memory and CPU compared to other nodes in the cluster.

If we want to control which set of nodes a job executes, we need to assign labels to the nodes. A typical case could be that you want to run a Spark streaming job and want that to execute on nodes with high memory. For such a situation, we will configure the queue and assign a set of nodes for that, so that if a job is submitted to that queue, it executes on the nodes which have higher configuration in terms of memory and cores.

Getting ready

Make sure that the user has a running cluster with at least two Datanodes and YARN working perfectly. Users are expected to have a basic knowledge about queues in Hadoop, for which they can refer to the previous few recipes in this chapter.

How to do it...

  1. Connect to the master1.cyrus.com master node and switch as user hadoop...

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