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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

Lexical scoping

Lexical scoping is also referred to as Static scoping. As per lexical scoping, a variable will be accessible in the scope in which it is defined. Here, the scope of the variable is determined at compile time.

Let us consider the following example:

public class LexicalScoping { 
   int a = 1; 
   // a has class level scope. So It will be available to be accessed 
   // throughout the class 
 
   public void sumAndPrint() { 
      int b = 1; 
      int c = a + b; 
      // b and c are local variables of method. These will be accessible 
      // inside the method only 
   } 
   // b and c are no longer accessible 
} 

Variable a will be available throughout the class (let's not consider the difference of static and non-static as of now). However, variables b and c will be available inside the sumAndPrint method only.

Similarly, a variable given inside lambda...

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