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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

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787126497
Length 350 pages
Edition 1st Edition
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Authors (2):
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Sourav Gulati Sourav Gulati
Author Profile Icon Sourav Gulati
Sourav Gulati
Sumit Kumar Sumit Kumar
Author Profile Icon Sumit Kumar
Sumit Kumar
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Toc

Table of Contents (12) Chapters Close

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

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...

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