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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
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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 (14) Chapters Close

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

Resourcemanager HA using ZooKeeper


In this recipe, we will be covering Resourcemanager (RM) high availability. In a Hadoop cluster, if the RM goes offline for any reason, all the jobs on the cluster will fail. In production, there will be critical jobs that might be running for a long time and it does not make sense to start them again due to the failure of RM. HA for Resourcemanager was introduced in Hadoop 2.4 and it supports both manual and automatic failover.

Similar to Namenode HA discussed in the earlier recipes, Resourcemanager HA also has only one active node at any given point of time. The failover is either initiated by an admin command or by using ZooKeeper for automatic failover.

Resourcemanager HA can be configured by either using FileSystemRMStore or using ZooKeeper store. In this recipe, we will configure automatic failover using ZKRMStateStore.

Getting ready

Before starting with this recipe, it is mandatory to complete the earlier recipe on ZooKeeper configuration and to make...

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