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

Hive performance tuning


In this recipe, we will cover Hive tuning by touching upon some important parameters. Hive is a data warehousing solution which runs on top of Hadoop, as discussed in Chapter 7, Data Ingestion and Workflow. Please refer to it for installation and configuration of Hive.

Getting ready

Make sure that the user has a running cluster with Hive installed and configured to run with the ZooKeeper ensemble. Users can refer to Chapter 7, Data Ingestion and Workflow on Hive, for configuring that.

How to do it...

  1. Connect to the Edge node client1.cyrus.com and switch to the hadoop user.

  2. If you have followed the previous recipes, Hive is installed at /opt/cluster/hive on the Edge node.

  3. The first thing is to tune the JVM heap used, when Hive is started by the shell as shown in the following screenshot, to the file hive-env.sh file:

  4. Configure the local Hive scratch space on a separate disk by using the following configuration:

    <property>
    <name>hive.exec.local.scratchdir</name...