Creating RDDs with Spark 2.0 using external data sources

In this recipe, we provide you with several to demonstrate creation using external sources.

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. Set up the package location where the program will reside:

package spark.ml.cookbook.chapter3 

3. Import the necessary packages:

import breeze.numerics.pow 
import org.apache.spark.sql.SparkSession 
import Array._

4. Import the packages for setting up logging level for log4j. This step is optional, but we highly recommend it (change the level appropriately as you move through the development cycle).

import org.apache.log4j.Logger 
import org.apache.log4j.Level 

5. Set up the logging level to warning and error to cut down on output. See the previous step for package requirements.

Logger.getLogger("org").setLevel(Level.ERROR) 
Logger.getLogger("akka").setLevel(Level.ERROR) 

6. Set up the Spark context and application parameter so Spark can run...