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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

Network design

In this recipe, we will be looking at the network design for the Hadoop cluster and what things to consider for planning a Hadoop cluster.

Getting ready

Make sure that the user has a running cluster with HDFS and YARN and has at least two nodes in the cluster.

How to do it...

  1. Connect to the master1.cyrus.com Namenode and switch to the user hadoop.
  2. Execute the commands as follows to check for the link speed and other network option modes:
    $ ethtool eth0
    $ iftop
    $ netstat -s
    
  3. Always have a separate network for Hadoop traffic by using VLANs.
  4. Ensure the DNS resolution works for both forward and reverse lookup.
  5. Run a caching-only DNS within the Hadoop network, which caches records for faster resolution.
  6. Consider NIC teaming or binding for better performance.
  7. Use dedicated core switches and rack top switches.
  8. Consider having static IPs per node in the cluster.
  9. Disable IPv6 for all nodes and just use IPv4.
  10. Increasing the size of the cluster will mean more connections and more data across nodes...
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