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Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By : Vijay Karambelkar
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Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By: Vijay Karambelkar

Overview of this book

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.
Table of Contents (10 chapters)
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Configuring the YARN environment in a cluster

We have seen the configuration of MapReduce and HDFS. To enable YARN, first you need to inform Hadoop that you are using YARN as your framework, so you need to add the following entries in mapred-site.xml:

<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>

Please refer to Chapter 2, Planning and Setting Up Hadoop Clusters, for additional properties and steps for configuring YARN. Now, let's look at key configuration elements in yarn-site.xml that you would be looking at day by day:

Property Name

Default Value

Description

yarn.resourcemanager
.hostname

0.0.0.0

Specify the hostname of resource manager.

yarn.resourcemanager
.address

IP...

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