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Apache Spark 2.x for Java Developers

You're reading from Apache Spark 2.x for Java Developers Explore big data at scale using Apache Spark 2.x Java APIs

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787126497

Length 350 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Authors (2):

Sourav Gulati

Sumit Kumar

View More author details

Table of Contents (12) Chapters

Preface

1. Introduction to Spark FREE CHAPTER

2. Revisiting Java

3. Let Us Spark

4. Understanding the Spark Programming Model

5. Working with Data and Storage

6. Spark on Cluster

7. Spark Programming Model - Advanced

8. Working with Spark SQL

9. Near Real-Time Processing with Spark Streaming

10. Machine Learning Analytics with Spark MLlib

11. Learning Spark GraphX

Yet Another Resource Negotiator (YARN)

Hadoop YARN is one of the most popular resource managers in the big data world. Apache Spark provides seamless integration with YARN. Apache Spark applications can be deployed to YARN using the same spark-submit command.

Apache Spark requires HADOOP_CONF_DIR or YARN_CONF_DIR environment variables to be set and pointing to the Hadoop configuration directory, which contains core-site.xml, yarn-site.xml, and so on. These configurations are required to connect to the YARN cluster.

To run Spark applications on YARN, the YARN cluster should be started first. Refer to the following official Hadoop documentation that describes how to start the YARN cluster: https://hadoop.apache.org/docs

YARN in general consists of a resource manager (RM) and multiple node managers (NM) where resource manager is the master node and node managers are slave nodes. NMs send detailed report to RM at every defined interval that tell RM how many resources (such as CPU slots and RAM...

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Authors (2)

Gulati

Gulati

Shekhar Gulati is a developer and OpenShift evangelist working with Red Hat. He has been evangelizing about OpenShift for the last 2 years. He regularly speaks at various conferences and user groups around the world to spread the goodness of OpenShift. He regularly blogs on the OpenShift official blog and has written more than 50 blogs on OpenShift. Shekhar has also written many technical articles for IBM developerWorks, Developer.com, and Javalobby.

See other products by Gulati

Kumar

Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

See other products by Kumar

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