How to work efficiently with SBT, Spark and “provided” dependencies?

Question

I\'m building an Apache Spark application in Scala and I\'m using SBT to build it. Here is the thing:

1. when I\'m developing under IntelliJ IDEA, I want Spark depend

Answer 1

A solution based on creating another subproject for running the project locally is described here.

Basically, you would need to modifiy the build.sbt file with the following:

lazy val sparkDependencies = Seq(
  "org.apache.spark" %% "spark-streaming" % sparkVersion
)

libraryDependencies ++= sparkDependencies.map(_ % "provided")

lazy val localRunner = project.in(file("mainRunner")).dependsOn(RootProject(file("."))).settings(
   libraryDependencies ++= sparkDependencies.map(_ % "compile")
)

And then run the new subproject locally with Use classpath of module: localRunner under the Run Configuration.