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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
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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

Configuring auditing

In this recipe, we will touch base upon auditing in Hadoop, which is important to keep track of who did what and at what time. All users must hold accountability for their actions, and to make that possible, we need to track the activities of users by enabling audit logs. There are two audit logs, one for users and the other for services, which help to answer important questions such as Who touched my files? Is data accessed from protected IPs?

Getting ready

For this recipe, you will again need a running cluster with HDFS and YARN. Users must have completed the Configuring multi-node cluster recipe.

How to do it...

  1. Connect to the nn1.cluster1.com master node and switch to user hadoop.
  2. The file where these changes will be made is log4j.properties.
  3. The categories which control audit logging are log4j.category.SecurityLogger for service, and for each of HDFS, Mapred, and YARN, we have audit log handlers categories implementing log4j.logger.org.apache.hadoop.
  4. To enable audits...
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