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

Recycle or trash bin configuration


There will also be cases where we need to restore an accidently deleted file or directory. This may be due to a user error or some archiving policy that cleans data periodically.

For such situations, we can configure the recycle bin so that the deleted files can be restored for a specified amount of time. In this recipe, we will see that this can be configured.

Getting ready

This recipe shows the steps needed to edit the configuration file and add new parameters to the file to enable trash in the Hadoop cluster.

How to do it...

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

    <property>
    <name>fs.trash.interval</name>
    <value>10080</value>
    </property>
  2. The fs.trash.interval parameter defines the time in minutes after which the checkpoint will be deleted.

  3. Restart the namenode daemon for the property to take effect:

    $ hadoop-daemons.sh stop namenode
    $ hadoop-daemons.sh start namenode
    
  4. Once trash...