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

Job history web interface and metrics


In the previous recipe, we enabled history server, and now we will use the Web UI to the explore YARN metrics and job history.

Getting ready

Make sure you have completed the previous recipe and have a History Server running as daemon, as shown here in the list of processes:

How to do it...

  1. Using web browser, connect to the JobHistoryServer Web UI port, which in this case is port 19888 and host IP master1.cyrus.com.

  2. Once connected to the Web UI, the user can see JobHistory and other details as shown here:

  3. Under the Tools section on the left-most side, the user can see links to view YARN parameters currently in effect, using the link configuration as shown here:

  4. Another section is metrics, which gives information about JvmMetrics, stats, and so on. The output format is JSON:

  5. The preceding output can also be viewed from the command line, as shown in the following screenshot:

How it works...

In Hadoop, each daemon has a built-in web server, which is a jetty server...