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

YARN SLS


In this recipe, we will take a look at YARN simulator, which is useful to test and determine the load of YARN under various test conditions.

The YARN Scheduler Load Simulator (SLS) is such a tool, which can simulate large-scale YARN clusters and application loads in a single machine within a single JVM.

Getting ready

For this recipe, you will need a single machine with Hadoop installed. For this, readers can refer to the first chapter, where we have covered a single node cluster setup.

How to do it...

  1. Connect to the master1.cyrus.com single node and switch as user hadoop.

  2. The SLS is located at $HADOOP_HOME/share/hadoop/tools/sls/.

  3. The SLS runs the simulator using the sls-runner.xml configuration file under $HADOOP_HOME/etc/hadoop.

  4. A sample file is located at $HADOOP_HOME/share/hadoop/tools/sls/sample-conf/sls-runner.xml.

  5. The sls-runner.xml file contains parameters to tune a number of threads, container memory, NM threads, and many other parameters or the choice of scheduler you want.

  6. The...