Functional programming with the Dataset API using domain objects

In this recipe, we explore how functional programming works with Dataset. We use the Dataset and functional programming to separate the cars (domain object) by their models.

How to do it...

1. Start a new project in IntelliJ or in an IDE of your choice. Make sure the necessary JAR files are included.

2. Use package instruction to provide the right path

package spark.ml.cookbook.chapter3

3. Import the necessary packages for Spark context to get access to the cluster and Log4j.Logger to reduce the amount of output produced by Spark.

import org.apache.log4j.{Level, Logger}
import org.apache.spark.sql.{Dataset, SparkSession}
import spark.ml.cookbook.{Car, mydatasetdata}
import scala.collection.mutable
import scala.collection.mutable.ListBuffer
import org.apache.log4j.{Level, Logger}
import org.apache.spark.sql.SparkSession

4. Define a Scala case to contain our data for processing, and our car class will represent electric and hybrid cars.

case class...