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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
Tools
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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

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...
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