Book Image

Hadoop 2.x Administration Cookbook

By : Aman Singh
Book Image

Hadoop 2.x Administration Cookbook

By: Aman Singh

Overview of this book

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.
Table of Contents (20 chapters)
Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Configuring Datanode heartbeat


The Datanodes periodically update the Namenode about its presence or any changes in the blocks. The default Datanode heartbeat time is three seconds. But this does not mean that if a Datanode does not send a heartbeat for, say, 10 seconds, that the node will be marked dead.

In this recipe, we will look at how a heartbeat is configured and the parameters that play a role in its function.

Getting ready

You have a running cluster, and the user is familiar with Datanode communication with Namenode.

How to do it...

  1. ssh to Namenode and edit the hdfs-site.xml file to add the following property to it:

    <property>
    <name>dfs.heartbeat.interval</name>
    <value>3</value>
    </property>
    
    <property>
    <name>dfs.namenode.heartbeat.recheck-interval</name>
    <value>300000</value>
    </property>
  2. Copy hdfs-site.xml across all nodes in the cluster.

  3. Restart HDFS daemons across nodes for the property to take effect:

    $ stop-dfs.sh...