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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

Common RDD actions


In the previous section, we explored various RDD transformations that resulted in another RDD, however, an RDD operation that triggers Job computation and returns a non RDD value(s) is called an action. All the various transformations discussed previously do not get evaluated until an action gets called. Different transformations only help in materializing the lazily evaluated DAGs. It is the only action that triggers the data to be loaded in RDDs, transformation to be computed, and the final result to be either sent to the Driver program or written to a filesystem.

Some of the common actions widely used in Spark are discussed as follows:

isEmpty

isEmpty returns a Boolean value as True, if the RDD contains no element at all. It is important to note that RDD can be empty even when it is one or more partition. In the following example, we create the RDD with three integers and then filter an element that does not exist in the parent RDD hence the resultant creates an empty...

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