build.sbt for a Spark Streaming 1.2.1 job using Scala 2.10 that can assemble (remote) or run (local)

gistfile1.txt

name := "MyApp"

version := "1.0"

scalaVersion := "2.10.4"

libraryDependencies ++= Seq(
  // Use Log4J 1.2.17 instead of the unresolvable jmx of 1.2.15
  "log4j" % "log4j" % "1.2.17",
  // Spark components - some provided on the cluster
  "org.apache.spark" %% "spark-core" % "1.2.1" % "provided",
  "org.apache.spark" %% "spark-streaming" % "1.2.1" % "provided",
  "org.apache.spark" %% "spark-streaming-kafka" % "1.2.1",
  // Correct Netty version for 'sbt run'
  "io.netty" % "netty-all" % "4.0.23.Final" % "provided"
)

// Make 'sbt run' bring in provided dependencies
run in Compile <<= Defaults.runTask(fullClasspath in Compile, mainClass in (Compile, run), runner in (Compile, run))

// Final assembled uber-jar name
assemblyJarName in assembly := "my-assembly.jar"

// Do not assemble any of the Scala runtime, also provided
assemblyOption in assembly := (assemblyOption in assembly).value.copy(includeScala = false)