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

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...