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

Parse logs for errors


In this recipe, we will look at how to parse logs and quickly find errors. There are job logs, which are aggregated on HDFS, logs which include daemon logs, system logs, and so on.

We will look at some keywords and commands to find the errors in logs.

Getting ready

To complete the recipe, the user must have a running Hadoop cluster, must have completed the Setting up multi-node HBase cluster recipe in Chapter 9, HBase Administration, and know Bash or Perl/Python scripting basics.

How to do it...

  1. Connect to the edge1.cyrus.com node in the cluster and switch to user hadoop. However, we can connect to any node in the cluster from which we can access the logs.

  2. The location of the YARN logs on the cluster is exported as NFS export and mounted at location /logs/hadoop on the Edge node. Refer to the HDFS as NFS export recipe.

  3. All the other logs, such as system and daemon logs, from the cluster are exported to the location /logs/system.

  4. If the user is not from a Linux system background...