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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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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

Configuring HDFS replication

For redundancy, it is important to have multiple copies of data. In HDFS, this is achieved by placing copies of blocks on different nodes. By default, the replication factor is 3, which means that for each block written to HDFS, there will be three copies in total on the nodes in the cluster.

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 is best to use the edge node, as stated in Chapter 1, and switch to the 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. ssh to the Namenode, which in this case is nn1.cluster1.com, and switch to user hadoop.
  2. Navigate to the /opt/cluster/hadoop/etc/hadoop directory. This is the directory where we installed Hadoop in Chapter 1, Hadoop Architecture and Deployment. If the user has installed it at a different location...
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