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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 (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

Datanode recovery – disk full


In this recipe, we will discuss on the process to recover the Datanode once it is low on disk space. Usually, Datanodes are assumed to fail in the cluster, but sometimes it is important to know how to recover in case of the disk being full.

This is a process which we have to perform when the replication factor is set to 1 and we have critical data to recover.

If the disk on the Datanode is bad and it cannot be read due to hardware issues such as controller failure, then we cannot follow this process. On the Datanode, which is low on disk space, we will add a new larger disk and mount it on the Datanode and start the Datanode daemon for the blocks that are available.

One thing we need to know here is that once we shutdown the Datanode, how quickly the Namenode sees it being removed from the cluster. Remember, we are not decommissioning the node, but trying to replace the disk and start the Datanode service back, without movement of blocks of the Datanode.

This could...

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