/
SparkBuild.scala
1231 lines (1094 loc) · 52.6 KB
/
SparkBuild.scala
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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 java.io._
import java.nio.charset.StandardCharsets.UTF_8
import java.nio.file.Files
import java.util.Locale
import scala.io.Source
import scala.util.Properties
import scala.collection.JavaConverters._
import scala.collection.mutable.ListBuffer
import sbt._
import sbt.Classpaths.publishTask
import sbt.Keys._
import sbt.librarymanagement.{ VersionNumber, SemanticSelector }
import com.etsy.sbt.checkstyle.CheckstylePlugin.autoImport._
import com.simplytyped.Antlr4Plugin._
import com.typesafe.sbt.pom.{PomBuild, SbtPomKeys}
import com.typesafe.tools.mima.plugin.MimaKeys
import org.scalastyle.sbt.ScalastylePlugin.autoImport._
import org.scalastyle.sbt.Tasks
import sbtassembly.AssemblyPlugin.autoImport._
import spray.revolver.RevolverPlugin._
object BuildCommons {
private val buildLocation = file(".").getAbsoluteFile.getParentFile
val sqlProjects@Seq(catalyst, sql, hive, hiveThriftServer, tokenProviderKafka010, sqlKafka010, avro) = Seq(
"catalyst", "sql", "hive", "hive-thriftserver", "token-provider-kafka-0-10", "sql-kafka-0-10", "avro"
).map(ProjectRef(buildLocation, _))
val streamingProjects@Seq(streaming, streamingKafka010) =
Seq("streaming", "streaming-kafka-0-10").map(ProjectRef(buildLocation, _))
val allProjects@Seq(
core, graphx, mllib, mllibLocal, repl, networkCommon, networkShuffle, launcher, unsafe, tags, sketch, kvstore, _*
) = Seq(
"core", "graphx", "mllib", "mllib-local", "repl", "network-common", "network-shuffle", "launcher", "unsafe",
"tags", "sketch", "kvstore"
).map(ProjectRef(buildLocation, _)) ++ sqlProjects ++ streamingProjects
val optionallyEnabledProjects@Seq(kubernetes, mesos, yarn,
sparkGangliaLgpl, streamingKinesisAsl,
dockerIntegrationTests, hadoopCloud, kubernetesIntegrationTests) =
Seq("kubernetes", "mesos", "yarn",
"ganglia-lgpl", "streaming-kinesis-asl",
"docker-integration-tests", "hadoop-cloud", "kubernetes-integration-tests").map(ProjectRef(buildLocation, _))
val assemblyProjects@Seq(networkYarn, streamingKafka010Assembly, streamingKinesisAslAssembly) =
Seq("network-yarn", "streaming-kafka-0-10-assembly", "streaming-kinesis-asl-assembly")
.map(ProjectRef(buildLocation, _))
val copyJarsProjects@Seq(assembly, examples) = Seq("assembly", "examples")
.map(ProjectRef(buildLocation, _))
val tools = ProjectRef(buildLocation, "tools")
// Root project.
val spark = ProjectRef(buildLocation, "spark")
val sparkHome = buildLocation
val testTempDir = s"$sparkHome/target/tmp"
val javaVersion = settingKey[String]("source and target JVM version for javac and scalac")
// SPARK-42188: needs to be consistent with `protobuf.version` in `pom.xml`.
val protoVersion = "2.5.0"
}
object SparkBuild extends PomBuild {
import BuildCommons._
import sbtunidoc.GenJavadocPlugin
import sbtunidoc.GenJavadocPlugin.autoImport._
import scala.collection.mutable.Map
val projectsMap: Map[String, Seq[Setting[_]]] = Map.empty
override val profiles = {
val profiles = Properties.envOrNone("SBT_MAVEN_PROFILES")
.orElse(Properties.propOrNone("sbt.maven.profiles")) match {
case None => Seq("sbt")
case Some(v) =>
v.split("(\\s+|,)").filterNot(_.isEmpty).map(_.trim.replaceAll("-P", "")).toSeq
}
if (profiles.contains("jdwp-test-debug")) {
sys.props.put("test.jdwp.enabled", "true")
}
profiles
}
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.asScala.toMap
lazy val MavenCompile = config("m2r") extend(Compile)
lazy val SbtCompile = config("sbt") extend(Compile)
lazy val sparkGenjavadocSettings: Seq[sbt.Def.Setting[_]] = GenJavadocPlugin.projectSettings ++ Seq(
scalacOptions ++= Seq(
"-P:genjavadoc:strictVisibility=true" // hide package private types
)
)
lazy val scalaStyleRules = Project("scalaStyleRules", file("scalastyle"))
.settings(
libraryDependencies += "org.scalastyle" %% "scalastyle" % "1.0.0"
)
lazy val scalaStyleOnCompile = taskKey[Unit]("scalaStyleOnCompile")
lazy val scalaStyleOnTest = taskKey[Unit]("scalaStyleOnTest")
// We special case the 'println' lint rule to only be a warning on compile, because adding
// printlns for debugging is a common use case and is easy to remember to remove.
val scalaStyleOnCompileConfig: String = {
val in = "scalastyle-config.xml"
val out = "scalastyle-on-compile.generated.xml"
val replacements = Map(
"""customId="println" level="error"""" -> """customId="println" level="warn""""
)
var contents = Source.fromFile(in).getLines.mkString("\n")
for ((k, v) <- replacements) {
require(contents.contains(k), s"Could not rewrite '$k' in original scalastyle config.")
contents = contents.replace(k, v)
}
new PrintWriter(out) {
write(contents)
close()
}
out
}
// Return a cached scalastyle task for a given configuration (usually Compile or Test)
private def cachedScalaStyle(config: Configuration) = Def.task {
val logger = streams.value.log
// We need a different cache dir per Configuration, otherwise they collide
val cacheDir = target.value / s"scalastyle-cache-${config.name}"
val cachedFun = FileFunction.cached(cacheDir, FilesInfo.lastModified, FilesInfo.exists) {
(inFiles: Set[File]) => {
val args: Seq[String] = Seq.empty
val scalaSourceV = Seq(file((config / scalaSource).value.getAbsolutePath))
val configV = (ThisBuild / baseDirectory).value / scalaStyleOnCompileConfig
val configUrlV = (config / scalastyleConfigUrl).value
val streamsV = ((config / streams).value: @sbtUnchecked)
val failOnErrorV = true
val failOnWarningV = false
val scalastyleTargetV = (config / scalastyleTarget).value
val configRefreshHoursV = (config / scalastyleConfigRefreshHours).value
val targetV = (config / target).value
val configCacheFileV = (config / scalastyleConfigUrlCacheFile).value
logger.info(s"Running scalastyle on ${name.value} in ${config.name}")
Tasks.doScalastyle(args, configV, configUrlV, failOnErrorV, failOnWarningV, scalaSourceV,
scalastyleTargetV, streamsV, configRefreshHoursV, targetV, configCacheFileV)
Set.empty
}
}
cachedFun(findFiles((config / scalaSource).value))
}
private def findFiles(file: File): Set[File] = if (file.isDirectory) {
file.listFiles().toSet.flatMap(findFiles) + file
} else {
Set(file)
}
def enableScalaStyle: Seq[sbt.Def.Setting[_]] = Seq(
scalaStyleOnCompile := cachedScalaStyle(Compile).value,
scalaStyleOnTest := cachedScalaStyle(Test).value,
(scalaStyleOnCompile / logLevel) := Level.Warn,
(scalaStyleOnTest / logLevel) := Level.Warn,
(Compile / compile) := {
scalaStyleOnCompile.value
(Compile / compile).value
},
(Test / compile) := {
scalaStyleOnTest.value
(Test / compile).value
}
)
// Silencer: Scala compiler plugin for warning suppression
// Aim: enable fatal warnings, but suppress ones related to using of deprecated APIs
// depends on scala version:
// <2.13.2 - silencer 1.7.5 and compiler settings to enable fatal warnings
// 2.13.2+ - no silencer and configured warnings to achieve the same
lazy val compilerWarningSettings: Seq[sbt.Def.Setting[_]] = Seq(
libraryDependencies ++= {
if (VersionNumber(scalaVersion.value).matchesSemVer(SemanticSelector("<2.13.2"))) {
val silencerVersion = "1.7.6"
Seq(
"org.scala-lang.modules" %% "scala-collection-compat" % "2.2.0",
compilerPlugin("com.github.ghik" % "silencer-plugin" % silencerVersion cross CrossVersion.full),
"com.github.ghik" % "silencer-lib" % silencerVersion % Provided cross CrossVersion.full
)
} else {
Seq.empty
}
},
(Compile / scalacOptions) ++= {
if (VersionNumber(scalaVersion.value).matchesSemVer(SemanticSelector("<2.13.2"))) {
Seq(
"-Xfatal-warnings",
"-deprecation",
"-Ywarn-unused-import",
"-P:silencer:globalFilters=.*deprecated.*" //regex to catch deprecation warnings and suppress them
)
} else {
Seq(
// replace -Xfatal-warnings with fine-grained configuration, since 2.13.2
// verbose warning on deprecation, error on all others
// see `scalac -Wconf:help` for details
"-Wconf:cat=deprecation:wv,any:e",
// 2.13-specific warning hits to be muted (as narrowly as possible) and addressed separately
// TODO(SPARK-33499): Enable this option when Scala 2.12 is no longer supported.
// "-Wunused:imports",
"-Wconf:cat=lint-multiarg-infix:wv",
"-Wconf:cat=other-nullary-override:wv",
"-Wconf:cat=other-match-analysis&site=org.apache.spark.sql.catalyst.catalog.SessionCatalog.lookupFunction.catalogFunction:wv",
"-Wconf:cat=other-pure-statement&site=org.apache.spark.streaming.util.FileBasedWriteAheadLog.readAll.readFile:wv",
"-Wconf:cat=other-pure-statement&site=org.apache.spark.scheduler.OutputCommitCoordinatorSuite.<local OutputCommitCoordinatorSuite>.futureAction:wv",
"-Wconf:cat=other-pure-statement&site=org.apache.spark.sql.streaming.sources.StreamingDataSourceV2Suite.testPositiveCase.\\$anonfun:wv",
// SPARK-33775 Suppress compilation warnings that contain the following contents.
// TODO(SPARK-33805): Undo the corresponding deprecated usage suppression rule after
// fixed.
"-Wconf:msg=^(?=.*?method|value|type|object|trait|inheritance)(?=.*?deprecated)(?=.*?since 2.13).+$:s",
"-Wconf:msg=^(?=.*?Widening conversion from)(?=.*?is deprecated because it loses precision).+$:s",
"-Wconf:msg=Auto-application to \\`\\(\\)\\` is deprecated:s",
"-Wconf:msg=method with a single empty parameter list overrides method without any parameter list:s",
"-Wconf:msg=method without a parameter list overrides a method with a single empty one:s",
// SPARK-35574 Prevent the recurrence of compilation warnings related to `procedure syntax is deprecated`
"-Wconf:cat=deprecation&msg=procedure syntax is deprecated:e"
)
}
}
)
lazy val sharedSettings = sparkGenjavadocSettings ++
compilerWarningSettings ++
(if (sys.env.contains("NOLINT_ON_COMPILE")) Nil else enableScalaStyle) ++ Seq(
(Compile / exportJars) := true,
(Test / exportJars) := false,
javaHome := sys.env.get("JAVA_HOME")
.orElse(sys.props.get("java.home").map { p => new File(p).getParentFile().getAbsolutePath() })
.map(file),
publishMavenStyle := true,
unidocGenjavadocVersion := "0.18",
// Override SBT's default resolvers:
resolvers := Seq(
// Google Mirror of Maven Central, placed first so that it's used instead of flaky Maven Central.
// See https://storage-download.googleapis.com/maven-central/index.html for more info.
"gcs-maven-central-mirror" at "https://maven-central.storage-download.googleapis.com/maven2/",
DefaultMavenRepository,
Resolver.mavenLocal,
Resolver.file("ivyLocal", file(Path.userHome.absolutePath + "/.ivy2/local"))(Resolver.ivyStylePatterns)
),
externalResolvers := resolvers.value,
otherResolvers := SbtPomKeys.mvnLocalRepository(dotM2 => Seq(Resolver.file("dotM2", dotM2))).value,
(MavenCompile / publishLocalConfiguration) := PublishConfiguration()
.withResolverName("dotM2")
.withArtifacts(packagedArtifacts.value.toVector)
.withLogging(ivyLoggingLevel.value),
(SbtCompile / publishLocalConfiguration) := PublishConfiguration()
.withResolverName("ivyLocal")
.withArtifacts(packagedArtifacts.value.toVector)
.withLogging(ivyLoggingLevel.value),
(MavenCompile / publishMavenStyle) := true,
(SbtCompile / publishMavenStyle) := false,
(MavenCompile / publishLocal) := publishTask((MavenCompile / publishLocalConfiguration)).value,
(SbtCompile / publishLocal) := publishTask((SbtCompile / publishLocalConfiguration)).value,
publishLocal := Seq((MavenCompile / publishLocal), (SbtCompile / publishLocal)).dependOn.value,
javaOptions ++= {
val versionParts = System.getProperty("java.version").split("[+.\\-]+", 3)
var major = versionParts(0).toInt
if (major >= 16) Seq("--add-modules=jdk.incubator.vector,jdk.incubator.foreign", "-Dforeign.restricted=warn") else Seq.empty
},
(Compile / doc / javacOptions) ++= {
val versionParts = System.getProperty("java.version").split("[+.\\-]+", 3)
var major = versionParts(0).toInt
if (major == 1) major = versionParts(1).toInt
if (major >= 8) Seq("-Xdoclint:all", "-Xdoclint:-missing") else Seq.empty
},
javaVersion := SbtPomKeys.effectivePom.value.getProperties.get("java.version").asInstanceOf[String],
(Compile / javacOptions) ++= Seq(
"-encoding", UTF_8.name(),
"-source", javaVersion.value
),
// This -target and Xlint:unchecked options cannot be set in the Compile configuration scope since
// `javadoc` doesn't play nicely with them; see https://github.com/sbt/sbt/issues/355#issuecomment-3817629
// for additional discussion and explanation.
(Compile / compile / javacOptions) ++= Seq(
"-target", javaVersion.value,
"-Xlint:unchecked"
),
(Compile / scalacOptions) ++= Seq(
s"-target:jvm-${javaVersion.value}",
"-sourcepath", (ThisBuild / baseDirectory).value.getAbsolutePath // Required for relative source links in scaladoc
),
SbtPomKeys.profiles := profiles,
// Remove certain packages from Scaladoc
(Compile / doc / scalacOptions) := Seq(
"-groups",
"-skip-packages", Seq(
"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"
) ++ {
// Do not attempt to scaladoc javadoc comments under 2.12 since it can't handle inner classes
if (scalaBinaryVersion.value == "2.12") Seq("-no-java-comments") else Seq.empty
},
// disable Mima check for all modules,
// to be enabled in specific ones that have previous artifacts
MimaKeys.mimaFailOnNoPrevious := false,
// To prevent intermittent compilation failures, see also SPARK-33297
// Apparently we can remove this when we use JDK 11.
Test / classLoaderLayeringStrategy := ClassLoaderLayeringStrategy.Flat
)
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 ++ copyJarsProjects ++ Seq(spark, tools))
.foreach(enable(sharedSettings ++ DependencyOverrides.settings ++
ExcludedDependencies.settings ++ Checkstyle.settings))
/* Enable tests settings for all projects except examples, assembly and tools */
(allProjects ++ optionallyEnabledProjects).foreach(enable(TestSettings.settings))
val mimaProjects = allProjects.filterNot { x =>
Seq(
spark, hive, hiveThriftServer, catalyst, repl, networkCommon, networkShuffle, networkYarn,
unsafe, tags, tokenProviderKafka010, sqlKafka010, kvstore, avro
).contains(x)
}
mimaProjects.foreach { x =>
enable(MimaBuild.mimaSettings(sparkHome, x))(x)
}
/* Generate and pick the spark build info from extra-resources */
enable(Core.settings)(core)
/* Unsafe settings */
enable(Unsafe.settings)(unsafe)
/*
* Set up tasks to copy dependencies during packaging. This step can be disabled in the command
* line, so that dev/mima can run without trying to copy these files again and potentially
* causing issues.
*/
if (!"false".equals(System.getProperty("copyDependencies"))) {
copyJarsProjects.foreach(enable(CopyDependencies.settings))
}
/* Enable Assembly for all assembly projects */
assemblyProjects.foreach(enable(Assembly.settings))
/* Package pyspark artifacts in a separate zip file for YARN. */
enable(PySparkAssembly.settings)(assembly)
/* Enable unidoc only for the root spark project */
enable(Unidoc.settings)(spark)
/* Catalyst ANTLR generation settings */
enable(Catalyst.settings)(catalyst)
/* Spark SQL Core console settings */
enable(SQL.settings)(sql)
/* Hive console settings */
enable(Hive.settings)(hive)
// SPARK-14738 - Remove docker tests from main Spark build
// enable(DockerIntegrationTests.settings)(dockerIntegrationTests)
enable(KubernetesIntegrationTests.settings)(kubernetesIntegrationTests)
enable(YARN.settings)(yarn)
if (profiles.contains("sparkr")) {
enable(SparkR.settings)(core)
}
/**
* Adds the ability to run the spark shell directly from SBT without building an assembly
* jar.
*
* Usage: `build/sbt sparkShell`
*/
val sparkShell = taskKey[Unit]("start a spark-shell.")
val sparkPackage = inputKey[Unit](
s"""
|Download and run a spark package.
|Usage `builds/sbt "sparkPackage <group:artifact:version> <MainClass> [args]
""".stripMargin)
val sparkSql = taskKey[Unit]("starts the spark sql CLI.")
enable(Seq(
(run / connectInput) := true,
fork := true,
(run / outputStrategy) := Some (StdoutOutput),
javaOptions += "-Xmx2g",
sparkShell := {
(Compile / runMain).toTask(" org.apache.spark.repl.Main -usejavacp").value
},
sparkPackage := {
import complete.DefaultParsers._
val packages :: className :: otherArgs = spaceDelimited("<group:artifact:version> <MainClass> [args]").parsed.toList
val scalaRun = (run / runner).value
val classpath = (Runtime / fullClasspath).value
val args = Seq("--packages", packages, "--class", className, (LocalProject("core") / Compile / Keys.`package`)
.value.getCanonicalPath) ++ otherArgs
println(args)
scalaRun.run("org.apache.spark.deploy.SparkSubmit", classpath.map(_.data), args, streams.value.log)
},
(Compile / javaOptions) += "-Dspark.master=local",
sparkSql := {
(Compile / runMain).toTask(" org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver").value
}
))(assembly)
enable(Seq(sparkShell := (LocalProject("assembly") / sparkShell).value))(spark)
// 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)
}
if (!sys.env.contains("SERIAL_SBT_TESTS")) {
allProjects.foreach(enable(SparkParallelTestGrouping.settings))
}
}
object SparkParallelTestGrouping {
// Settings for parallelizing tests. The basic strategy here is to run the slowest suites (or
// collections of suites) in their own forked JVMs, allowing us to gain parallelism within a
// SBT project. Here, we take an opt-in approach where the default behavior is to run all
// tests sequentially in a single JVM, requiring us to manually opt-in to the extra parallelism.
//
// There are a reasons why such an opt-in approach is good:
//
// 1. Launching one JVM per suite adds significant overhead for short-running suites. In
// addition to JVM startup time and JIT warmup, it appears that initialization of Derby
// metastores can be very slow so creating a fresh warehouse per suite is inefficient.
//
// 2. When parallelizing within a project we need to give each forked JVM a different tmpdir
// so that the metastore warehouses do not collide. Unfortunately, it seems that there are
// some tests which have an overly tight dependency on the default tmpdir, so those fragile
// tests need to continue re-running in the default configuration (or need to be rewritten).
// Fixing that problem would be a huge amount of work for limited payoff in most cases
// because most test suites are short-running.
//
private val testsWhichShouldRunInTheirOwnDedicatedJvm = Set(
"org.apache.spark.DistributedSuite",
"org.apache.spark.sql.catalyst.expressions.DateExpressionsSuite",
"org.apache.spark.sql.catalyst.expressions.HashExpressionsSuite",
"org.apache.spark.sql.catalyst.expressions.CastSuite",
"org.apache.spark.sql.catalyst.expressions.MathExpressionsSuite",
"org.apache.spark.sql.hive.HiveExternalCatalogSuite",
"org.apache.spark.sql.hive.StatisticsSuite",
"org.apache.spark.sql.hive.client.VersionsSuite",
"org.apache.spark.sql.hive.client.HiveClientVersions",
"org.apache.spark.sql.hive.HiveExternalCatalogVersionsSuite",
"org.apache.spark.ml.classification.LogisticRegressionSuite",
"org.apache.spark.ml.classification.LinearSVCSuite",
"org.apache.spark.sql.SQLQueryTestSuite",
"org.apache.spark.sql.hive.client.HadoopVersionInfoSuite",
"org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperationSuite",
"org.apache.spark.sql.hive.thriftserver.ThriftServerQueryTestSuite",
"org.apache.spark.sql.hive.thriftserver.SparkSQLEnvSuite",
"org.apache.spark.sql.hive.thriftserver.ui.ThriftServerPageSuite",
"org.apache.spark.sql.hive.thriftserver.ui.HiveThriftServer2ListenerSuite",
"org.apache.spark.sql.kafka010.KafkaDelegationTokenSuite",
"org.apache.spark.shuffle.KubernetesLocalDiskShuffleDataIOSuite"
)
private val DEFAULT_TEST_GROUP = "default_test_group"
private val HIVE_EXECUTION_TEST_GROUP = "hive_execution_test_group"
private def testNameToTestGroup(name: String): String = name match {
case _ if testsWhichShouldRunInTheirOwnDedicatedJvm.contains(name) => name
// Different with the cases in testsWhichShouldRunInTheirOwnDedicatedJvm, here we are grouping
// all suites of `org.apache.spark.sql.hive.execution.*` into a single group, instead of
// launching one JVM per suite.
case _ if name.contains("org.apache.spark.sql.hive.execution") => HIVE_EXECUTION_TEST_GROUP
case _ => DEFAULT_TEST_GROUP
}
lazy val settings = Seq(
(Test / testGrouping) := {
val tests: Seq[TestDefinition] = (Test / definedTests).value
val defaultForkOptions = ForkOptions(
javaHome = javaHome.value,
outputStrategy = outputStrategy.value,
bootJars = Vector.empty[java.io.File],
workingDirectory = Some(baseDirectory.value),
runJVMOptions = (Test / javaOptions).value.toVector,
connectInput = connectInput.value,
envVars = (Test / envVars).value
)
tests.groupBy(test => testNameToTestGroup(test.name)).map { case (groupName, groupTests) =>
val forkOptions = {
if (groupName == DEFAULT_TEST_GROUP) {
defaultForkOptions
} else {
defaultForkOptions.withRunJVMOptions(defaultForkOptions.runJVMOptions ++
Seq(s"-Djava.io.tmpdir=${baseDirectory.value}/target/tmp/$groupName"))
}
}
new Tests.Group(
name = groupName,
tests = groupTests,
runPolicy = Tests.SubProcess(forkOptions))
}
}.toSeq
)
}
object Core {
import scala.sys.process.Process
lazy val settings = Seq(
(Compile / resourceGenerators) += Def.task {
val buildScript = baseDirectory.value + "/../build/spark-build-info"
val targetDir = baseDirectory.value + "/target/extra-resources/"
val command = Seq("bash", buildScript, targetDir, version.value)
Process(command).!!
val propsFile = baseDirectory.value / "target" / "extra-resources" / "spark-version-info.properties"
Seq(propsFile)
}.taskValue
)
}
object Unsafe {
lazy val settings = Seq(
// This option is needed to suppress warnings from sun.misc.Unsafe usage
(Compile / javacOptions) += "-XDignore.symbol.file"
)
}
object DockerIntegrationTests {
// This serves to override the override specified in DependencyOverrides:
lazy val settings = Seq(
dependencyOverrides += "com.google.guava" % "guava" % "18.0",
resolvers += "DB2" at "https://app.camunda.com/nexus/content/repositories/public/",
libraryDependencies += "com.oracle" % "ojdbc6" % "11.2.0.1.0" from "https://app.camunda.com/nexus/content/repositories/public/com/oracle/ojdbc6/11.2.0.1.0/ojdbc6-11.2.0.1.0.jar" // scalastyle:ignore
)
}
/**
* These settings run the Kubernetes integration tests.
* Docker images will have the "dev" tag, and will be overwritten every time the
* integration tests are run. The integration tests are actually bound to the "test" phase,
* so running "test" on this module will run the integration tests.
*
* There are two ways to run the tests:
* - the "tests" task builds docker images and runs the test, so it's a little slow.
* - the "run-its" task just runs the tests on a pre-built set of images.
*
* Note that this does not use the shell scripts that the maven build uses, which are more
* configurable. This is meant as a quick way for developers to run these tests against their
* local changes.
*/
object KubernetesIntegrationTests {
import BuildCommons._
import scala.sys.process.Process
val dockerBuild = TaskKey[Unit]("docker-imgs", "Build the docker images for ITs.")
val runITs = TaskKey[Unit]("run-its", "Only run ITs, skip image build.")
val imageRepo = sys.props.getOrElse("spark.kubernetes.test.imageRepo", "docker.io/kubespark")
val imageTag = sys.props.get("spark.kubernetes.test.imageTag")
val namespace = sys.props.get("spark.kubernetes.test.namespace")
val deployMode = sys.props.get("spark.kubernetes.test.deployMode")
// Hack: this variable is used to control whether to build docker images. It's updated by
// the tasks below in a non-obvious way, so that you get the functionality described in
// the scaladoc above.
private var shouldBuildImage = true
lazy val settings = Seq(
dockerBuild := {
if (shouldBuildImage) {
val dockerTool = s"$sparkHome/bin/docker-image-tool.sh"
val bindingsDir = s"$sparkHome/resource-managers/kubernetes/docker/src/main/dockerfiles/spark/bindings"
val cmd = Seq(dockerTool,
"-r", imageRepo,
"-t", imageTag.getOrElse("dev"),
"-p", s"$bindingsDir/python/Dockerfile",
"-R", s"$bindingsDir/R/Dockerfile") ++
(if (deployMode != Some("minikube")) Seq.empty else Seq("-m")) :+
"build"
val ec = Process(cmd).!
if (ec != 0) {
throw new IllegalStateException(s"Process '${cmd.mkString(" ")}' exited with $ec.")
}
if (deployMode == Some("cloud")) {
val cmd = Seq(dockerTool, "-r", imageRepo, "-t", imageTag.getOrElse("dev"), "push")
val ret = Process(cmd).!
if (ret != 0) {
throw new IllegalStateException(s"Process '${cmd.mkString(" ")}' exited with $ret.")
}
}
}
shouldBuildImage = true
},
runITs := Def.taskDyn {
shouldBuildImage = false
Def.task {
(Test / test).value
}
}.value,
(Test / test) := (Test / test).dependsOn(dockerBuild).value,
(Test / javaOptions) ++= Seq(
s"-Dspark.kubernetes.test.deployMode=${deployMode.getOrElse("minikube")}",
s"-Dspark.kubernetes.test.imageRepo=${imageRepo}",
s"-Dspark.kubernetes.test.imageTag=${imageTag.getOrElse("dev")}",
s"-Dspark.kubernetes.test.unpackSparkDir=$sparkHome"
),
(Test / javaOptions) ++= namespace.map("-Dspark.kubernetes.test.namespace=" + _),
// Force packaging before building images, so that the latest code is tested.
dockerBuild := dockerBuild
.dependsOn(assembly / Compile / packageBin)
.dependsOn(examples / Compile / packageBin)
.value
)
}
/**
* Overrides to work around sbt's dependency resolution being different from Maven's.
*/
object DependencyOverrides {
import BuildCommons.protoVersion
lazy val guavaVersion = sys.props.get("guava.version").getOrElse("14.0.1")
lazy val settings = Seq(
dependencyOverrides += "com.google.guava" % "guava" % guavaVersion,
dependencyOverrides += "com.google.protobuf" % "protobuf-java" % protoVersion,
dependencyOverrides += "xerces" % "xercesImpl" % "2.12.2",
dependencyOverrides += "jline" % "jline" % "2.14.6",
dependencyOverrides += "org.apache.avro" % "avro" % "1.10.2")
}
/**
* This excludes library dependencies in sbt, which are specified in maven but are
* not needed by sbt build.
*/
object ExcludedDependencies {
lazy val settings = Seq(
libraryDependencies ~= { libs => libs.filterNot(_.name == "groovy-all") },
// SPARK-33705: Due to sbt compiler issues, it brings exclusions defined in maven pom back to
// the classpath directly and assemble test scope artifacts to assembly/target/scala-xx/jars,
// which is also will be added to the classpath of some unit tests that will build a subprocess
// to run `spark-submit`, e.g. HiveThriftServer2Test.
//
// These artifacts are for the jersey-1 API but Spark use jersey-2 ones, so it cause test
// flakiness w/ jar conflicts issues.
//
// Also jersey-1 is only used by yarn module(see resource-managers/yarn/pom.xml) for testing
// purpose only. Here we exclude them from the whole project scope and add them w/ yarn only.
excludeDependencies ++= Seq(
ExclusionRule(organization = "com.sun.jersey"),
ExclusionRule("javax.servlet", "javax.servlet-api"),
ExclusionRule("javax.ws.rs", "jsr311-api"),
ExclusionRule("io.netty", "netty-handler"),
ExclusionRule("io.netty", "netty-transport-native-epoll"))
)
}
/**
* Project to pull previous artifacts of Spark for generating Mima excludes.
*/
object OldDeps {
lazy val project = Project("oldDeps", file("dev"))
.settings(oldDepsSettings)
.disablePlugins(com.typesafe.sbt.pom.PomReaderPlugin)
lazy val allPreviousArtifactKeys = Def.settingDyn[Seq[Set[ModuleID]]] {
SparkBuild.mimaProjects
.map { project => (project / MimaKeys.mimaPreviousArtifacts) }
.map(k => Def.setting(k.value))
.join
}
def oldDepsSettings() = Defaults.coreDefaultSettings ++ Seq(
name := "old-deps",
libraryDependencies := allPreviousArtifactKeys.value.flatten
)
}
object Catalyst {
import com.simplytyped.Antlr4Plugin
import com.simplytyped.Antlr4Plugin.autoImport._
lazy val settings = Antlr4Plugin.projectSettings ++ Seq(
(Antlr4 / antlr4Version) := SbtPomKeys.effectivePom.value.getProperties.get("antlr4.version").asInstanceOf[String],
(Antlr4 / antlr4PackageName) := Some("org.apache.spark.sql.catalyst.parser"),
(Antlr4 / antlr4GenListener) := true,
(Antlr4 / antlr4GenVisitor) := true,
(Antlr4 / antlr4TreatWarningsAsErrors) := true
)
}
object SQL {
lazy val settings = Seq(
(console / initialCommands) :=
"""
|import org.apache.spark.SparkContext
|import org.apache.spark.sql.SQLContext
|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.util._
|import org.apache.spark.sql.execution
|import org.apache.spark.sql.functions._
|import org.apache.spark.sql.types._
|
|val sc = new SparkContext("local[*]", "dev-shell")
|val sqlContext = new SQLContext(sc)
|import sqlContext.implicits._
|import sqlContext._
""".stripMargin,
(console / cleanupCommands) := "sc.stop()"
)
}
object Hive {
lazy val settings = Seq(
// Specially disable assertions since some Hive tests fail them
(Test / javaOptions) := (Test / javaOptions).value.filterNot(_ == "-ea"),
// Hive tests need higher metaspace size
(Test / javaOptions) := (Test / javaOptions).value.filterNot(_.contains("MaxMetaspaceSize")),
(Test / javaOptions) += "-XX:MaxMetaspaceSize=2g",
// 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")
}).value,
(console / initialCommands) :=
"""
|import org.apache.spark.SparkContext
|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.util._
|import org.apache.spark.sql.execution
|import org.apache.spark.sql.functions._
|import org.apache.spark.sql.hive._
|import org.apache.spark.sql.hive.test.TestHive._
|import org.apache.spark.sql.hive.test.TestHive.implicits._
|import org.apache.spark.sql.types._""".stripMargin,
(console / cleanupCommands) := "sparkContext.stop()",
// Some of our log4j jars make it impossible to submit jobs from this JVM to Hive Map/Reduce
// in order to generate golden files. This is only required for developers who are adding new
// new query tests.
(Test / fullClasspath) := (Test / fullClasspath).value.filterNot { f => f.toString.contains("jcl-over") }
)
}
object YARN {
val genConfigProperties = TaskKey[Unit]("gen-config-properties",
"Generate config.properties which contains a setting whether Hadoop is provided or not")
val propFileName = "config.properties"
val hadoopProvidedProp = "spark.yarn.isHadoopProvided"
lazy val settings = Seq(
excludeDependencies --= Seq(
ExclusionRule(organization = "com.sun.jersey"),
ExclusionRule("javax.servlet", "javax.servlet-api"),
ExclusionRule("javax.ws.rs", "jsr311-api")),
Compile / unmanagedResources :=
(Compile / unmanagedResources).value.filter(!_.getName.endsWith(s"$propFileName")),
genConfigProperties := {
val file = (Compile / classDirectory).value / s"org/apache/spark/deploy/yarn/$propFileName"
val isHadoopProvided = SbtPomKeys.effectivePom.value.getProperties.get(hadoopProvidedProp)
IO.write(file, s"$hadoopProvidedProp = $isHadoopProvided")
},
Compile / copyResources := (Def.taskDyn {
val c = (Compile / copyResources).value
Def.task {
(Compile / genConfigProperties).value
c
}
}).value
)
}
object Assembly {
import sbtassembly.AssemblyUtils._
import sbtassembly.AssemblyPlugin.autoImport._
val hadoopVersion = taskKey[String]("The version of hadoop that spark is compiled against.")
lazy val settings = baseAssemblySettings ++ Seq(
(assembly / test) := {},
hadoopVersion := {
sys.props.get("hadoop.version")
.getOrElse(SbtPomKeys.effectivePom.value.getProperties.get("hadoop.version").asInstanceOf[String])
},
(assembly / assemblyJarName) := {
lazy val hadoopVersionValue = hadoopVersion.value
if (moduleName.value.contains("streaming-kafka-0-10-assembly")
|| moduleName.value.contains("streaming-kinesis-asl-assembly")) {
s"${moduleName.value}-${version.value}.jar"
} else {
s"${moduleName.value}-${version.value}-hadoop${hadoopVersionValue}.jar"
}
},
(Test / assembly / assemblyJarName) := s"${moduleName.value}-test-${version.value}.jar",
(assembly / assemblyMergeStrategy) := {
case m if m.toLowerCase(Locale.ROOT).endsWith("manifest.mf")
=> MergeStrategy.discard
case m if m.toLowerCase(Locale.ROOT).matches("meta-inf.*\\.sf$")
=> MergeStrategy.discard
case "log4j.properties" => MergeStrategy.discard
case m if m.toLowerCase(Locale.ROOT).startsWith("meta-inf/services/")
=> MergeStrategy.filterDistinctLines
case "reference.conf" => MergeStrategy.concat
case _ => MergeStrategy.first
}
)
}
object PySparkAssembly {
import sbtassembly.AssemblyPlugin.autoImport._
import java.util.zip.{ZipOutputStream, ZipEntry}
lazy val settings = Seq(
// Use a resource generator to copy all .py files from python/pyspark into a managed directory
// to be included in the assembly. We can't just add "python/" to the assembly's resource dir
// list since that will copy unneeded / unwanted files.
(Compile / resourceGenerators) += Def.macroValueI((Compile / resourceManaged) map { outDir: File =>
val src = new File(BuildCommons.sparkHome, "python/pyspark")
val zipFile = new File(BuildCommons.sparkHome , "python/lib/pyspark.zip")
zipFile.delete()
zipRecursive(src, zipFile)
Seq.empty[File]
}).value
)
private def zipRecursive(source: File, destZipFile: File) = {
val destOutput = new ZipOutputStream(new FileOutputStream(destZipFile))
addFilesToZipStream("", source, destOutput)
destOutput.flush()
destOutput.close()
}
private def addFilesToZipStream(parent: String, source: File, output: ZipOutputStream): Unit = {
if (source.isDirectory()) {
output.putNextEntry(new ZipEntry(parent + source.getName()))
for (file <- source.listFiles()) {
addFilesToZipStream(parent + source.getName() + File.separator, file, output)
}
} else {
val in = new FileInputStream(source)
output.putNextEntry(new ZipEntry(parent + source.getName()))
val buf = new Array[Byte](8192)
var n = 0
while (n != -1) {
n = in.read(buf)
if (n != -1) {
output.write(buf, 0, n)
}
}
output.closeEntry()
in.close()
}
}
}
object SparkR {
import scala.sys.process.Process
val buildRPackage = taskKey[Unit]("Build the R package")
lazy val settings = Seq(
buildRPackage := {
val command = baseDirectory.value / ".." / "R" / "install-dev.sh"
Process(command.toString).!!
},
(Compile / compile) := (Def.taskDyn {
val c = (Compile / compile).value
Def.task {
(Compile / buildRPackage).value
c
}
}).value
)
}
object Unidoc {
import BuildCommons._
import sbtunidoc.BaseUnidocPlugin
import sbtunidoc.JavaUnidocPlugin
import sbtunidoc.ScalaUnidocPlugin
import sbtunidoc.BaseUnidocPlugin.autoImport._
import sbtunidoc.GenJavadocPlugin.autoImport._
import sbtunidoc.JavaUnidocPlugin.autoImport._
import sbtunidoc.ScalaUnidocPlugin.autoImport._
private def ignoreUndocumentedPackages(packages: Seq[Seq[File]]): Seq[Seq[File]] = {
packages
.map(_.filterNot(_.getName.contains("$")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/deploy")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/examples")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/internal")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/memory")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/network")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/rpc")))
.map(_.filterNot(f =>
f.getCanonicalPath.contains("org/apache/spark/shuffle") &&
!f.getCanonicalPath.contains("org/apache/spark/shuffle/api")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/executor")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/ExecutorAllocationClient")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend")))
.map(_.filterNot(f =>
f.getCanonicalPath.contains("org/apache/spark/unsafe") &&
!f.getCanonicalPath.contains("org/apache/spark/unsafe/types/CalendarInterval")))
.map(_.filterNot(_.getCanonicalPath.contains("python")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/util/collection")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/util/kvstore")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/catalyst")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/execution")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/internal")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/hive")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/catalog/v2/utils")))
.map(_.filterNot(_.getCanonicalPath.contains("org.apache.spark.errors")))
.map(_.filterNot(_.getCanonicalPath.contains("org.apache.spark.sql.errors")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/hive")))
.map(_.filterNot(_.getCanonicalPath.contains("org/apache/spark/sql/v2/avro")))
.map(_.filterNot(_.getCanonicalPath.contains("SSLOptions")))
}
private def ignoreClasspaths(classpaths: Seq[Classpath]): Seq[Classpath] = {
classpaths
.map(_.filterNot(_.data.getCanonicalPath.matches(""".*kafka-clients-0\.10.*""")))
.map(_.filterNot(_.data.getCanonicalPath.matches(""".*kafka_2\..*-0\.10.*""")))
}
val unidocSourceBase = settingKey[String]("Base URL of source links in Scaladoc.")
lazy val settings = BaseUnidocPlugin.projectSettings ++