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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):

Kumar

Gulati

View More author details

Table of Contents (19) Chapters

Title Page

Credits

Foreword

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

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

Spark Driver Web UI

This section will provide some important aspects of the Spark driver's UI. We will see the statistics of the jobs we executed using Spark shell on Spark UI.

As described in the Getting started with Apache Spark section, Spark driver's UI runs at http://localhost:4040/ (unless you make any changes to default settings).

When you start Spark shell, Spark driver's UI will look as follows:

SparkContext is an entry point to every Spark application. Every Spark job is launched with a SparkContext and can consist of only one SparkContext.

Spark shell, being a Spark application starts with SparkContext and every SparkContext launches its own web UI. The default port is 4040. Spark UI can be enabled/disabled or can be launched on a separate port using the following properties:

Property	Default value
`spark.ui.enabled`	`True`
`spark.ui.port`	`4040`

For example, Spark shell application with Spark UI running on 5050 port can be launched as:

spark-shell --confspark.ui.port=5050

If multiple Spark applications...

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Authors (2)

Kumar

Kumar

Sumit Kumar is a developer with industry insights in telecom and banking. At different junctures, he has worked as a Java and SQL developer, but it is shell scripting that he finds both challenging and satisfying at the same time. Currently, he delivers big data projects focused on batch/near-real-time analytics and the distributed indexed querying system. Besides IT, he takes a keen interest in human and ecological issues.

See other products by Kumar

Gulati

Gulati

Sourav Gulati is associated with software industry for more than 7 years. He started his career with Unix/Linux and Java and then moved towards big data and NoSQL World. He has worked on various big data projects. He has recently started a technical blog called Technical Learning as well. Apart from IT world, he loves to read about mythology.

See other products by Gulati

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