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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
Languages
Concepts
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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

Lambda expressions


Lambda expressions are the brand new feature of Java. Lambda expressions are introduced in Java 8 and it is a step towards facilitating functional programming in Java.

Lambda expressions help you to define a method without declaring it. So, you do not need a name for the method, return-type, and so on. Lambda expressions, like anonymous inner classes, provide the way to pass behaviors to functions. Lambda, however, is a much more concise way of writing the code.

For example, the preceding example of an anonymous inner class can be converted to Lambda as follows:

public class MyFilterImpl { 
   public static void main(String[] args) { 
      File dir = new File("src/main/java"); 
      dir.list((dirname,name)->name.endsWith("java")); //Lambda Expression 
     } 
} 

Note that the signature of the Lambda expression is exactly matching the signature of the accept method in the FilenameFilter interface.

Note

One of the huge differences between Lambda and anonymous inner classes...

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