Getting Apache Spark

In this recipe, we'll take a look at how to bring Spark into our project (using SBT) and how Spark works internally.

Note

The code for this recipe can be found at https://github.com/arunma/ScalaDataAnalysisCookbook/blob/master/chapter1-spark-csv/build.sbt.

How to do it...

Let's now throw some Spark dependencies into our build.sbt file so that we can start playing with them in subsequent recipes. For now, we'll just focus on three of them: Spark Core, Spark SQL, and Spark MLlib. We'll take a look at a host of other Spark dependencies as we proceed further in this book:

1. Under a brand new folder (which will be your project root), create a new file called build.sbt.

2. Next, let's add the Spark libraries to the project dependencies.

3. Note that Spark 1.4.x requires Scala 2.10.x. This becomes the first section of our build.sbt:

   organization := "com.packt"
   
   name := "chapter1-spark-csv"
   
   scalaVersion := "2.10.4"
   
   val sparkVersion="1.4.1"
   
   libraryDependencies ++= Seq(
     "org.apache.spark...