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Apache Spark 2.x for Java Developers

You're reading from  Apache Spark 2.x for Java Developers

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787126497
Pages 350 pages
Edition 1st Edition
Languages
Authors (2):
Sourav Gulati Sourav Gulati
Profile icon Sourav Gulati
Sumit Kumar Sumit Kumar
Profile icon Sumit Kumar
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 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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