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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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Toc

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

Loading data in HDFS

It is important to make sure that the cluster is working fine and the user can perform file operations on the cluster.

Getting ready

Log in to any of the nodes in the cluster. It's best to use the edge node, as stated in Chapter 1, Hadoop Architecture and Deployment, and switch to user hadoop.

Create a simple text file named file1.txt using any of your favorite text editors, and write some content in it.

How to do it...

  1. Connect to the client1.cluster1.com edge node and switch to the hadoop user.
  2. Copy the file1.txt file to HDFS, as shown in the following screenshot:
    How to do it...
  3. The user can check for the status of a file, as shown in the following screenshot:
    How to do it...
  4. The user can make sure that the file exists and its type is correct, as shown in the following screenshot. The user can execute the commands to see the sub options:
    $ hadoop fs (and hit enter to see the options)
    

How it works...

Steps 2 and 3 create a simple text file on the local filesystem and then copy it to HDFS to make sure...

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