Setup Scala and Apache Spark with SBT in Intellij - scala

Question

I am trying to run Spark Scala project in IntelliJ Idea on Windows 10 machine.
My build.sbt:
name := "SbtIntellSpark1"
version := "0.1"
scalaVersion := "2.11.8"
libraryDependencies += "org.apache.spark" %% "spark-core" % "2.2.0"
libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.2.0"
project/build.properties:
sbt.version = 1.0.3
Main.scala:
package example
import org.apache.spark.sql.SparkSession
import org.apache.log4j.{Level, Logger}
object Main {
def main(args: Array[String]): Unit = {
Logger.getLogger("org").setLevel(Level.ERROR)
val session = SparkSession
.builder()
.appName("StackOverflowSurvey")
.master("local[1]")
.getOrCreate()
val df = session.read
val responses = df
.option("header", true)
.option("inferSchema", true)
.csv("2016-stack-overflow-survey-responses.csv")
responses.printSchema()
}
}
The code runs perfectly (the schema is properly printed) when I run the Main object as shown in the following image:
My Run Configuration is as follows:
The problem is when I run "Run the program", it shows a huge stack of error which is too large to show here. Please see this gist.
How can I solve this issue?