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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

Terminal operations


Terminal operations act as the trigger point in a pipelined stream operation to trigger execution. Terminal operations either return a void or a non-stream type object and once the pipelined operations have been executed on the stream, the stream becomes redundant. A Terminal operation is always required for a pipelined stream operation to be executed.

Stream operations can further be classified as short-circuiting operations. An intermediate operation is said to be short circuited when an infinite input produces a finite stream such as in the case of the limit() method. Similarly, short circuiting operations in the case of terminal operations is when an infinite input may terminate in finite time, as is the case for the methods anyMatch(), findAny(), and so on.

Streams also support parallelism , but in the case of stateful operations, since each parallel operation can have its own state, a parallel stateful operation may have to undergo multiple passes to complete the...

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