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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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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

Broadcast variable


Broadcast variable is a read-only variable shared among each executor node. A variable, once broadcasted, gets copied to each executor's memory and can be referred to whenever needed in the execution of the program.

The broadcast variable is a very useful feature if some data needs to be referred to during the execution of tasks at various stages of the program. Like the distributed cache concept in Hadoop, where lookup data in a table can be placed for a map side join, the broadcast variable can be used in Spark to keep the look up data available in each executor's memory.

Properties of the broadcast variable

The following are the properties for the broadcast variable:

  • Broadcast variables are read-only: Broadcast variables are immutable, that is, once initialized their value cannot be changed.
  • Broadcast variables get copied to executor memory at the time of creation: A broadcast variable gets cached to the executor's memory only once, at the time of creation. Therefore, it...
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