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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import scala.util.Properties
import scala.collection.JavaConversions._
import sbt._
import sbt.Classpaths.publishTask
import sbt.Keys._
import sbtunidoc.Plugin.genjavadocSettings
import org.scalastyle.sbt.ScalastylePlugin.{Settings => ScalaStyleSettings}
import com.typesafe.sbt.pom.{PomBuild, SbtPomKeys}
import net.virtualvoid.sbt.graph.Plugin.graphSettings
object BuildCommons {
private val buildLocation = file(".").getAbsoluteFile.getParentFile
val allProjects@Seq(bagel, catalyst, core, graphx, hive, hiveThriftServer, mllib, repl,
sql, streaming, streamingFlumeSink, streamingFlume, streamingKafka, streamingMqtt,
streamingTwitter, streamingZeromq) =
Seq("bagel", "catalyst", "core", "graphx", "hive", "hive-thriftserver", "mllib", "repl",
"sql", "streaming", "streaming-flume-sink", "streaming-flume", "streaming-kafka",
"streaming-mqtt", "streaming-twitter", "streaming-zeromq").map(ProjectRef(buildLocation, _))
val optionallyEnabledProjects@Seq(yarn, yarnStable, yarnAlpha, java8Tests, sparkGangliaLgpl, sparkKinesisAsl) =
Seq("yarn", "yarn-stable", "yarn-alpha", "java8-tests", "ganglia-lgpl", "kinesis-asl")
.map(ProjectRef(buildLocation, _))
val assemblyProjects@Seq(assembly, examples) = Seq("assembly", "examples")
.map(ProjectRef(buildLocation, _))
val tools = ProjectRef(buildLocation, "tools")
// Root project.
val spark = ProjectRef(buildLocation, "spark")
val sparkHome = buildLocation
}
object SparkBuild extends PomBuild {
import BuildCommons._
import scala.collection.mutable.Map
val projectsMap: Map[String, Seq[Setting[_]]] = Map.empty
// Provides compatibility for older versions of the Spark build
def backwardCompatibility = {
import scala.collection.mutable
var isAlphaYarn = false
var profiles: mutable.Seq[String] = mutable.Seq.empty
if (Properties.envOrNone("SPARK_GANGLIA_LGPL").isDefined) {
println("NOTE: SPARK_GANGLIA_LGPL is deprecated, please use -Pspark-ganglia-lgpl flag.")
profiles ++= Seq("spark-ganglia-lgpl")
}
if (Properties.envOrNone("SPARK_HIVE").isDefined) {
println("NOTE: SPARK_HIVE is deprecated, please use -Phive flag.")
profiles ++= Seq("hive")
}
Properties.envOrNone("SPARK_HADOOP_VERSION") match {
case Some(v) =>
if (v.matches("0.23.*")) isAlphaYarn = true
println("NOTE: SPARK_HADOOP_VERSION is deprecated, please use -Dhadoop.version=" + v)
System.setProperty("hadoop.version", v)
case None =>
}
if (Properties.envOrNone("SPARK_YARN").isDefined) {
if(isAlphaYarn) {
println("NOTE: SPARK_YARN is deprecated, please use -Pyarn-alpha flag.")
profiles ++= Seq("yarn-alpha")
}
else {
println("NOTE: SPARK_YARN is deprecated, please use -Pyarn flag.")
profiles ++= Seq("yarn")
}
}
profiles
}
override val profiles = Properties.envOrNone("SBT_MAVEN_PROFILES") match {
case None => backwardCompatibility
case Some(v) =>
if (backwardCompatibility.nonEmpty)
println("Note: We ignore environment variables, when use of profile is detected in " +
"conjunction with environment variable.")
v.split("(\\s+|,)").filterNot(_.isEmpty).map(_.trim.replaceAll("-P", "")).toSeq
}
Properties.envOrNone("SBT_MAVEN_PROPERTIES") match {
case Some(v) =>
v.split("(\\s+|,)").filterNot(_.isEmpty).map(_.split("=")).foreach(x => System.setProperty(x(0), x(1)))
case _ =>
}
override val userPropertiesMap = System.getProperties.toMap
lazy val MavenCompile = config("m2r") extend(Compile)
lazy val publishLocalBoth = TaskKey[Unit]("publish-local", "publish local for m2 and ivy")
lazy val sharedSettings = graphSettings ++ ScalaStyleSettings ++ genjavadocSettings ++ Seq (
javaHome := Properties.envOrNone("JAVA_HOME").map(file),
incOptions := incOptions.value.withNameHashing(true),
retrieveManaged := true,
retrievePattern := "[type]s/[artifact](-[revision])(-[classifier]).[ext]",
publishMavenStyle := true,
resolvers += Resolver.mavenLocal,
otherResolvers <<= SbtPomKeys.mvnLocalRepository(dotM2 => Seq(Resolver.file("dotM2", dotM2))),
publishLocalConfiguration in MavenCompile <<= (packagedArtifacts, deliverLocal, ivyLoggingLevel) map {
(arts, _, level) => new PublishConfiguration(None, "dotM2", arts, Seq(), level)
},
publishMavenStyle in MavenCompile := true,
publishLocal in MavenCompile <<= publishTask(publishLocalConfiguration in MavenCompile, deliverLocal),
publishLocalBoth <<= Seq(publishLocal in MavenCompile, publishLocal).dependOn
)
def enable(settings: Seq[Setting[_]])(projectRef: ProjectRef) = {
val existingSettings = projectsMap.getOrElse(projectRef.project, Seq[Setting[_]]())
projectsMap += (projectRef.project -> (existingSettings ++ settings))
}
// Note ordering of these settings matter.
/* Enable shared settings on all projects */
(allProjects ++ optionallyEnabledProjects ++ assemblyProjects).foreach(enable(sharedSettings))
/* Enable tests settings for all projects except examples, assembly and tools */
(allProjects ++ optionallyEnabledProjects).foreach(enable(TestSettings.settings))
// TODO: Add Sql to mima checks
allProjects.filterNot(x => Seq(spark, sql, hive, hiveThriftServer, catalyst, repl,
streamingFlumeSink).contains(x)).foreach(x => enable(MimaBuild.mimaSettings(sparkHome, x))(x))
/* Enable Assembly for all assembly projects */
assemblyProjects.foreach(enable(Assembly.settings))
/* Enable unidoc only for the root spark project */
enable(Unidoc.settings)(spark)
/* Catalyst macro settings */
enable(Catalyst.settings)(catalyst)
/* Spark SQL Core console settings */
enable(SQL.settings)(sql)
/* Hive console settings */
enable(Hive.settings)(hive)
enable(Flume.settings)(streamingFlumeSink)
// TODO: move this to its upstream project.
override def projectDefinitions(baseDirectory: File): Seq[Project] = {
super.projectDefinitions(baseDirectory).map { x =>
if (projectsMap.exists(_._1 == x.id)) x.settings(projectsMap(x.id): _*)
else x.settings(Seq[Setting[_]](): _*)
} ++ Seq[Project](OldDeps.project)
}
}
object Flume {
lazy val settings = sbtavro.SbtAvro.avroSettings
}
/**
* Following project only exists to pull previous artifacts of Spark for generating
* Mima ignores. For more information see: SPARK 2071
*/
object OldDeps {
lazy val project = Project("oldDeps", file("dev"), settings = oldDepsSettings)
def versionArtifact(id: String): Option[sbt.ModuleID] = {
val fullId = id + "_2.10"
Some("org.apache.spark" % fullId % "1.0.0")
}
def oldDepsSettings() = Defaults.coreDefaultSettings ++ Seq(
name := "old-deps",
scalaVersion := "2.10.4",
retrieveManaged := true,
retrievePattern := "[type]s/[artifact](-[revision])(-[classifier]).[ext]",
libraryDependencies := Seq("spark-streaming-mqtt", "spark-streaming-zeromq",
"spark-streaming-flume", "spark-streaming-kafka", "spark-streaming-twitter",
"spark-streaming", "spark-mllib", "spark-bagel", "spark-graphx",
"spark-core").map(versionArtifact(_).get intransitive())
)
}
object Catalyst {
lazy val settings = Seq(
addCompilerPlugin("org.scalamacros" % "paradise" % "2.0.1" cross CrossVersion.full),
// Quasiquotes break compiling scala doc...
// TODO: Investigate fixing this.
sources in (Compile, doc) ~= (_ filter (_.getName contains "codegen")))
}
object SQL {
lazy val settings = Seq(
initialCommands in console :=
"""
|import org.apache.spark.sql.catalyst.analysis._
|import org.apache.spark.sql.catalyst.dsl._
|import org.apache.spark.sql.catalyst.errors._
|import org.apache.spark.sql.catalyst.expressions._
|import org.apache.spark.sql.catalyst.plans.logical._
|import org.apache.spark.sql.catalyst.rules._
|import org.apache.spark.sql.catalyst.types._
|import org.apache.spark.sql.catalyst.util._
|import org.apache.spark.sql.execution
|import org.apache.spark.sql.test.TestSQLContext._
|import org.apache.spark.sql.parquet.ParquetTestData""".stripMargin
)
}
object Hive {
lazy val settings = Seq(
javaOptions += "-XX:MaxPermSize=1g",
// Specially disable assertions since some Hive tests fail them
javaOptions in Test := (javaOptions in Test).value.filterNot(_ == "-ea"),
// Multiple queries rely on the TestHive singleton. See comments there for more details.
parallelExecution in Test := false,
// Supporting all SerDes requires us to depend on deprecated APIs, so we turn off the warnings
// only for this subproject.
scalacOptions <<= scalacOptions map { currentOpts: Seq[String] =>
currentOpts.filterNot(_ == "-deprecation")
},
initialCommands in console :=
"""
|import org.apache.spark.sql.catalyst.analysis._
|import org.apache.spark.sql.catalyst.dsl._
|import org.apache.spark.sql.catalyst.errors._
|import org.apache.spark.sql.catalyst.expressions._
|import org.apache.spark.sql.catalyst.plans.logical._
|import org.apache.spark.sql.catalyst.rules._
|import org.apache.spark.sql.catalyst.types._
|import org.apache.spark.sql.catalyst.util._
|import org.apache.spark.sql.execution
|import org.apache.spark.sql.hive._
|import org.apache.spark.sql.hive.test.TestHive._
|import org.apache.spark.sql.parquet.ParquetTestData""".stripMargin
)
}
object Assembly {
import sbtassembly.Plugin._
import AssemblyKeys._
lazy val settings = assemblySettings ++ Seq(
test in assembly := {},
jarName in assembly <<= (version, moduleName) map { (v, mName) => mName + "-"+v + "-hadoop" +
Option(System.getProperty("hadoop.version")).getOrElse("1.0.4") + ".jar" },
mergeStrategy in assembly := {
case PathList("org", "datanucleus", xs @ _*) => MergeStrategy.discard
case m if m.toLowerCase.endsWith("manifest.mf") => MergeStrategy.discard
case m if m.toLowerCase.matches("meta-inf.*\\.sf$") => MergeStrategy.discard
case "log4j.properties" => MergeStrategy.discard
case m if m.toLowerCase.startsWith("meta-inf/services/") => MergeStrategy.filterDistinctLines
case "reference.conf" => MergeStrategy.concat
case _ => MergeStrategy.first
}
)
}
object Unidoc {
import BuildCommons._
import sbtunidoc.Plugin._
import UnidocKeys._
// for easier specification of JavaDoc package groups
private def packageList(names: String*): String = {
names.map(s => "org.apache.spark." + s).mkString(":")
}
lazy val settings = scalaJavaUnidocSettings ++ Seq (
publish := {},
unidocProjectFilter in(ScalaUnidoc, unidoc) :=
inAnyProject -- inProjects(OldDeps.project, repl, examples, tools, catalyst, streamingFlumeSink, yarn, yarnAlpha),
unidocProjectFilter in(JavaUnidoc, unidoc) :=
inAnyProject -- inProjects(OldDeps.project, repl, bagel, graphx, examples, tools, catalyst, streamingFlumeSink, yarn, yarnAlpha),
// Skip class names containing $ and some internal packages in Javadocs
unidocAllSources in (JavaUnidoc, unidoc) := {
(unidocAllSources in (JavaUnidoc, unidoc)).value
.map(_.filterNot(_.getName.contains("$")))
.map(_.filterNot(_.getCanonicalPath.contains("akka")))
.map(_.filterNot(_.getCanonicalPath.contains("deploy")))
.map(_.filterNot(_.getCanonicalPath.contains("network")))
.map(_.filterNot(_.getCanonicalPath.contains("shuffle")))
.map(_.filterNot(_.getCanonicalPath.contains("executor")))
.map(_.filterNot(_.getCanonicalPath.contains("python")))
.map(_.filterNot(_.getCanonicalPath.contains("collection")))
},
// Javadoc options: create a window title, and group key packages on index page
javacOptions in doc := Seq(
"-windowtitle", "Spark " + version.value.replaceAll("-SNAPSHOT", "") + " JavaDoc",
"-public",
"-group", "Core Java API", packageList("api.java", "api.java.function"),
"-group", "Spark Streaming", packageList(
"streaming.api.java", "streaming.flume", "streaming.kafka",
"streaming.mqtt", "streaming.twitter", "streaming.zeromq", "streaming.kinesis"
),
"-group", "MLlib", packageList(
"mllib.classification", "mllib.clustering", "mllib.evaluation.binary", "mllib.linalg",
"mllib.linalg.distributed", "mllib.optimization", "mllib.rdd", "mllib.recommendation",
"mllib.regression", "mllib.stat", "mllib.tree", "mllib.tree.configuration",
"mllib.tree.impurity", "mllib.tree.model", "mllib.util"
),
"-group", "Spark SQL", packageList("sql.api.java", "sql.api.java.types", "sql.hive.api.java"),
"-noqualifier", "java.lang"
)
)
}
object TestSettings {
import BuildCommons._
lazy val settings = Seq (
// Fork new JVMs for tests and set Java options for those
fork := true,
javaOptions in Test += "-Dspark.test.home=" + sparkHome,
javaOptions in Test += "-Dspark.testing=1",
javaOptions in Test += "-Dspark.port.maxRetries=100",
javaOptions in Test += "-Dspark.ui.enabled=false",
javaOptions in Test += "-Dsun.io.serialization.extendedDebugInfo=true",
javaOptions in Test ++= System.getProperties.filter(_._1 startsWith "spark")
.map { case (k,v) => s"-D$k=$v" }.toSeq,
javaOptions in Test += "-ea",
javaOptions in Test ++= "-Xmx3g -XX:PermSize=128M -XX:MaxNewSize=256m -XX:MaxPermSize=1g"
.split(" ").toSeq,
javaOptions += "-Xmx3g",
// Show full stack trace and duration in test cases.
testOptions in Test += Tests.Argument("-oDF"),
testOptions += Tests.Argument(TestFrameworks.JUnit, "-v", "-a"),
// Enable Junit testing.
libraryDependencies += "com.novocode" % "junit-interface" % "0.9" % "test",
// Only allow one test at a time, even across projects, since they run in the same JVM
parallelExecution in Test := false,
concurrentRestrictions in Global += Tags.limit(Tags.Test, 1),
// Remove certain packages from Scaladoc
scalacOptions in (Compile, doc) := Seq(
"-groups",
"-skip-packages", Seq(
"akka",
"org.apache.spark.api.python",
"org.apache.spark.network",
"org.apache.spark.deploy",
"org.apache.spark.util.collection"
).mkString(":"),
"-doc-title", "Spark " + version.value.replaceAll("-SNAPSHOT", "") + " ScalaDoc"
)
)
}