build.sbt

name := "spark-tpcds-perf"

organization := "com.imaginea"

scalaVersion := "2.10.4"

sparkPackageName := "imaginea/spark-tpcds-perf"

// All Spark Packages need a license
licenses := Seq("Apache-2.0" -> url("http://opensource.org/licenses/Apache-2.0"))

sparkVersion := "2.0.0-SNAPSHOT"


sparkComponents ++= Seq("sql", "hive")


initialCommands in console :=
  """
    |import org.apache.spark.sql._
    |import org.apache.spark.sql.functions._
    |import org.apache.spark.sql.types._
    |import org.apache.spark.sql.hive.test.TestHive
    |import TestHive.implicits
    |import TestHive.sql
    |
    |val sqlContext = TestHive
    |import sqlContext.implicits._
  """.stripMargin


resolvers += "apache-snapshots" at "https://repository.apache.org/snapshots/"

libraryDependencies += "org.slf4j" % "slf4j-api" % "1.7.5"

libraryDependencies += "com.github.scopt" %% "scopt" % "3.3.0"

libraryDependencies += "com.twitter" %% "util-jvm" % "6.23.0" % "provided"

libraryDependencies += "org.scalatest" %% "scalatest" % "2.2.1" % "test"

fork := true



val runBenchmark = inputKey[Unit]("runs a benchmark")

runBenchmark := {
  import complete.DefaultParsers._
  val args = spaceDelimited("[args]").parsed
  val scalaRun = (runner in run).value
  val classpath = (fullClasspath in Compile).value
  scalaRun.run("com.imaginea.spark.tpcds.perf.RunBenchmark", classpath.map(_.data), args, streams.value.log)
}