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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

Distcp usage


In Hadoop, we deal with large data, so performing a simple copy operation might not be the optimal thing to do. Imagine copying a 1 TB file from one cluster to another, or within the same cluster to a different path, and after 50% of the copy operation it times out. In this situation, the copy has to be started from the beginning.

Getting ready

This recipe shows the steps needed to copy files within and across the cluster. Ensure that the user has a running cluster with YARN configured to run MapReduce, as discussed in Chapter 1, Hadoop Architecture and Deployment.

For this recipe, there is no configuration needed to run Distcp; just make sure HDFS and YARN is up and running.

How to do it...

  1. ssh to Namenode or the edge node and execute the following command to copy the projects directory to the new directory:

    $ hadoop distcp /projects /new
    
  2. The preceding command will submit a MapReduce job to the cluster, and once the job finishes we can see the data copied at the destination.

  3. We can...

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