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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

Configuring HDFS and YARN logs


In this recipe, we will configure logs for the HDFS and YARN, which is very important for troubleshooting and diagnosis of job failures.

For larger clusters, it is important to manage logs in terms of disk space usage, ease of retrieval, and performance. It is always recommended to store logs on separate hard disks and that too on RAIDed disks for performance. The disk thats used by Namenode or Datanodes for metadata or HDFS blocks must not be shared with for logs.

Getting ready

To complete the recipe, the user must have a running cluster with HDFS and YARN configured and have played around with Chapter 1, Hadoop Architecture and Deployment and Chapter 2, Maintain Hadoop Cluster HDFS to understand things better.

How to do it...

  1. Connect to the master1.cyrus.com master node in the cluster and switch to user hadoop.

  2. By default, the location of HDFS and YARN logs is defined by the settings $HADOOP_HOME/logs and $YARN_LOG_DIR/logs in file hadoop-env.xml and yarn-env.sh...

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