Book Image

Apache Spark 2.x for Java Developers

By : Sourav Gulati, Sumit Kumar
Book Image

Apache Spark 2.x for Java Developers

By: Sourav Gulati, Sumit Kumar

Overview of this book

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone. The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning analytics with Spark MLlib, and graph processing with GraphX, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications.
Table of Contents (19 chapters)
Title Page
About the Authors
About the Reviewer
Customer Feedback


Representational state transfer (REST) architecture is used very often while developing web services. These days, a lot of frameworks such as Hadoop, Apache Storm, and so on, provide RESTful web services that help users to interact with or monitor the framework. Apache Spark, being in the same league, also provides REST web services that can be used to monitor the Spark applications. In this section, we will learn about the REST APIs provided by Apache Spark.

The response type of Spark REST APIs is JSON, which can be used to design custom monitoring over Spark applications. The REST endpoints are mounted at /api/v1, which means that for a SparkContext with UI running https://localhost:4040, the REST endpoints will be mounted at https://localhost:4040/api/v1.

It is time to explore some of the REST APIs provided by Apache Spark. For that, launch Spark shell and run any of the jobs mentioned in Spark REPL also known as CLI section:

Execute the following command to list the applications...