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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 block size

Getting ready

To step through the recipes in this chapter, make sure you have completed the recipes in Chapter 1, Hadoop Architecture and Deployment or at least understand the basic Hadoop cluster setup.

How to do it...

  1. ssh to the master node, which is Namenode, and navigate to the directory where Hadoop is installed. In the previous chapter, Hadoop was installed at /opt/cluster/hadoop:
    $ ssh root@10.0.0.4
    
  2. Change to the Hadoop user, or any other user that is running Hadoop, by using the following:
    $ sudo su - hadoop
    
  3. Edit the hdfs-site.xml file and modify the parameter to reflect the changes, as shown in the following screenshot:
    How to do it...
  4. dfs.blocksize is the parameter that decides on the value of the HDFS block size. The unit is bytes and the default value is 64 MB in Hadoop 1 and 128 MB in Hadoop 2. The block size can be configured according to the need.
  5. Once the changes are made to hdfs-site.xml, copy the file across all nodes in the cluster.
  6. Then restart the Namenode and datanode...
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