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Apache Spark 2.x Cookbook

You're reading from   Apache Spark 2.x Cookbook Over 70 cloud-ready recipes for distributed Big Data processing and analytics

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781787127265
Length 294 pages
Edition 1st Edition
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Concepts
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Author (1):
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 Yadav Yadav
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Yadav
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Table of Contents (19) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with Apache Spark FREE CHAPTER 2. Developing Applications with Spark 3. Spark SQL 4. Working with External Data Sources 5. Spark Streaming 6. Getting Started with Machine Learning 7. Supervised Learning with MLlib — Regression 8. Supervised Learning with MLlib — Classification 9. Unsupervised Learning 10. Recommendations Using Collaborative Filtering 11. Graph Processing Using GraphX and GraphFrames 12. Optimizations and Performance Tuning

Enabling Kerberos authentication for Spark


To authenticate against a Kerberos-enabled cluster, the Kerberos configuration needs to be verified first. The configuration can be found in krb5.conf file, which includes the locations of KDCs and admin servers of Kerberos's realms of interest, defaults for the current realm and Kerberos applications, and mappings of the host names onto Kerberos's realms.

Check the config file for the correct location of KDC, realm, and so on. You can find this file in the  /etc directory. Alternatively, you can override the default location by setting the KRB5_CONFIG environment variable.

How to do it...

To connect to a Kerberos cluster, you need to use the keytab file (pairs of principals and encrypted keys—derived from passwords).  

To create a keytab file using MIT Kerberos, we will use ktutil here. Remember that encryption types (case-sensitive) should be supported and they should be in krb5.conf. This is based on the assumption that [email protected] is...

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