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

Designing Hive with credential store


In this recipe, we will be configuring the Hive credential store and using authentication for beeline clients to connect and have access control.

This is supported in Hive beeline clients. The authentication by default is PAM, which is a pluggable authentication module, but Hive can have its own credential store.

Getting ready

Make sure that you have completed the Using MySQL for Hive metastore recipe for this section and that you understand the basic Linux user management.

How to do it...

  1. Connect to the edge nodeedge1.cyrus.com and switch to the hadoop user.

  2. Edit the hive-site.xml file and add the following lines to it:

    <property>
        <name>hive.server2.enable.doAs</name>
        <value>false</value>
    </property>
    
    <property>
        <name>hive.users.in.admin.role</name>
        <value>root</value>
    </property>
    
    <property>
        <name>hive.security.metastore.authorization.manager</name&gt...