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Scala and Spark for Big Data Analytics

You're reading from   Scala and Spark for Big Data Analytics Explore the concepts of functional programming, data streaming, and machine learning

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785280849
Length 796 pages
Edition 1st Edition
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Authors (2):
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Sridhar Alla Sridhar Alla
Author Profile Icon Sridhar Alla
Sridhar Alla
Md. Rezaul Karim Md. Rezaul Karim
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Md. Rezaul Karim
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Toc

Table of Contents (19) Chapters Close

Preface 1. Introduction to Scala 2. Object-Oriented Scala FREE CHAPTER 3. Functional Programming Concepts 4. Collection APIs 5. Tackle Big Data – Spark Comes to the Party 6. Start Working with Spark – REPL and RDDs 7. Special RDD Operations 8. Introduce a Little Structure - Spark SQL 9. Stream Me Up, Scotty - Spark Streaming 10. Everything is Connected - GraphX 11. Learning Machine Learning - Spark MLlib and Spark ML 12. My Name is Bayes, Naive Bayes 13. Time to Put Some Order - Cluster Your Data with Spark MLlib 14. Text Analytics Using Spark ML 15. Spark Tuning 16. Time to Go to ClusterLand - Deploying Spark on a Cluster 17. Testing and Debugging Spark 18. PySpark and SparkR

Implicit in Scala

Implicit is another exciting and powerful feature introduced by Scala, and it can refer to two different things:

  • A value that can be automatically passed
  • Automatic conversion from one type to another
  • They can be used for extending the capabilities of a class

Actual automatic conversion can be accomplished with implicit def, as seen in the following example (supposing you are using the Scala REPL):

scala> implicit def stringToInt(s: String) = s.toInt
stringToInt: (s: String)Int

Now, having the preceding code in my scope, it's possible for me to do something like this:

scala> def add(x:Int, y:Int) = x + y
add: (x: Int, y: Int)Int

scala> add(1, "2")
res5: Int = 3
scala>

Even if one of the parameters passed to add() is a String (and add() would require you to provide two integers), having the implicit conversion in scope allows the compiler...

You have been reading a chapter from
Scala and Spark for Big Data Analytics
Published in: Jul 2017
Publisher: Packt
ISBN-13: 9781785280849
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