Book Image

Apache Hadoop 3 Quick Start Guide

By : Hrishikesh Vijay Karambelkar
Book Image

Apache Hadoop 3 Quick Start Guide

By: Hrishikesh 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)

Working with YARN distributed CLI

YARN CLI provides three types of commands. The first type is for users who wish to use YARN infrastructure for developing applications. The second type are administrative commands, which provide monitoring and administrative capabilities of all components of YARN including resource manager, application master, and timeline server. The third type are daemon commands, which are used for maintenance purposes covering stopping, starting, and restarting of daemons. Now, let's look at user commands for YARN:




Important Parameters


yarn application <command> <parameters>

All actions pertaining to applications such as print and kill.

- appID <applicationID>
- kill <applicationID>
- list
- status <applicationID>


yarn applicationattempt...