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build.sbt
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build.sbt
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/*
* Copyright (2021) The Delta Lake Project Authors.
*
* Licensed 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.
*/
// scalastyle:off line.size.limit
import java.nio.file.Files
import sbt.internal.inc.Analysis
import sbtprotoc.ProtocPlugin.autoImport._
import xsbti.compile.CompileAnalysis
import Checkstyle._
import Mima._
import Unidoc._
// Scala versions
val scala212 = "2.12.18"
val scala213 = "2.13.13"
val all_scala_versions = Seq(scala212, scala213)
// Due to how publishArtifact is determined for javaOnlyReleaseSettings, incl. storage
// It was necessary to change default_scala_version to scala213 in build.sbt
// to build the project with Scala 2.13 only
// As a setting, it's possible to set it on command line easily
// sbt 'set default_scala_version := 2.13.13' [commands]
// FIXME Why not use scalaVersion?
val default_scala_version = settingKey[String]("Default Scala version")
Global / default_scala_version := scala212
val LATEST_RELEASED_SPARK_VERSION = "3.5.0"
val SPARK_MASTER_VERSION = "4.0.0-SNAPSHOT"
val sparkVersion = settingKey[String]("Spark version")
spark / sparkVersion := getSparkVersion()
connectCommon / sparkVersion := getSparkVersion()
connectServer / sparkVersion := getSparkVersion()
// Dependent library versions
val defaultSparkVersion = LATEST_RELEASED_SPARK_VERSION
val flinkVersion = "1.16.1"
val hadoopVersion = "3.3.4"
val scalaTestVersion = "3.2.15"
val scalaTestVersionForConnectors = "3.0.8"
val parquet4sVersion = "1.9.4"
// Versions for Hive 3
val hadoopVersionForHive3 = "3.1.0"
val hiveVersion = "3.1.2"
val tezVersion = "0.9.2"
// Versions for Hive 2
val hadoopVersionForHive2 = "2.7.2"
val hive2Version = "2.3.3"
val tezVersionForHive2 = "0.8.4"
val protoVersion = "3.25.1"
val grpcVersion = "1.62.2"
scalaVersion := default_scala_version.value
// crossScalaVersions must be set to Nil on the root project
crossScalaVersions := Nil
// For Java 11 use the following on command line
// sbt 'set targetJvm := "11"' [commands]
val targetJvm = settingKey[String]("Target JVM version")
Global / targetJvm := "8"
lazy val javaVersion = sys.props.getOrElse("java.version", "Unknown")
/**
* Returns the current spark version, which is the same value as `sparkVersion.value`.
*
* This logic exists in a separate method because some call sites cannot access `sparkVersion.value`
* e.g. callers that are not inside tasks or setting macros.
*/
def getSparkVersion(): String = {
val latestReleasedSparkVersionShort = getMajorMinorPatch(LATEST_RELEASED_SPARK_VERSION) match {
case (maj, min, _) => s"$maj.$min"
}
val allValidSparkVersionInputs = Seq(
"master",
"latest",
SPARK_MASTER_VERSION,
LATEST_RELEASED_SPARK_VERSION,
latestReleasedSparkVersionShort
)
// e.g. build/sbt -DsparkVersion=master, build/sbt -DsparkVersion=4.0.0-SNAPSHOT
val input = sys.props.getOrElse("sparkVersion", LATEST_RELEASED_SPARK_VERSION)
input match {
case LATEST_RELEASED_SPARK_VERSION | "latest" | `latestReleasedSparkVersionShort` =>
LATEST_RELEASED_SPARK_VERSION
case SPARK_MASTER_VERSION | "master" =>
SPARK_MASTER_VERSION
case _ =>
throw new IllegalArgumentException(s"Invalid sparkVersion: $input. Must be one of " +
s"${allValidSparkVersionInputs.mkString("{", ",", "}")}")
}
}
lazy val commonSettings = Seq(
organization := "io.delta",
scalaVersion := default_scala_version.value,
crossScalaVersions := all_scala_versions,
fork := true,
scalacOptions ++= Seq("-Ywarn-unused:imports"),
javacOptions ++= {
if (javaVersion.startsWith("1.8")) {
Seq.empty // `--release` is supported since JDK 9 and the minimum supported JDK is 8
} else {
Seq("--release", targetJvm.value) // generated bytecode should be usable with JVM 1.8
}
},
// Make sure any tests in any project that uses Spark is configured for running well locally
Test / javaOptions ++= Seq(
"-Dspark.ui.enabled=false",
"-Dspark.ui.showConsoleProgress=false",
"-Dspark.databricks.delta.snapshotPartitions=2",
"-Dspark.sql.shuffle.partitions=5",
"-Ddelta.log.cacheSize=3",
"-Dspark.databricks.delta.delta.log.cacheSize=3",
"-Dspark.sql.sources.parallelPartitionDiscovery.parallelism=5",
"-Xmx1024m"
),
testOptions += Tests.Argument("-oF"),
// Unidoc settings: by default dont document any source file
unidocSourceFilePatterns := Nil,
)
/**
* Note: we cannot access sparkVersion.value here, since that can only be used within a task or
* setting macro.
*/
def crossSparkSettings(): Seq[Setting[_]] = getSparkVersion() match {
case LATEST_RELEASED_SPARK_VERSION => Seq(
scalaVersion := default_scala_version.value,
crossScalaVersions := all_scala_versions,
targetJvm := "8",
// For adding staged Spark RC versions, e.g.:
// resolvers += "Apache Spark 3.5.0 (RC1) Staging" at "https://repository.apache.org/content/repositories/orgapachespark-1444/",
Compile / unmanagedSourceDirectories += (Compile / baseDirectory).value / "src" / "main" / "scala-spark-3.5",
Test / unmanagedSourceDirectories += (Test / baseDirectory).value / "src" / "test" / "scala-spark-3.5",
Antlr4 / antlr4Version := "4.9.3",
// Java-/Scala-/Uni-Doc Settings
scalacOptions ++= Seq(
"-P:genjavadoc:strictVisibility=true" // hide package private types and methods in javadoc
),
unidocSourceFilePatterns := Seq(SourceFilePattern("io/delta/tables/", "io/delta/exceptions/"))
)
case SPARK_MASTER_VERSION => Seq(
scalaVersion := scala213,
crossScalaVersions := Seq(scala213),
targetJvm := "17",
resolvers += "Spark master staging" at "https://repository.apache.org/content/groups/snapshots/",
Compile / unmanagedSourceDirectories += (Compile / baseDirectory).value / "src" / "main" / "scala-spark-master",
Test / unmanagedSourceDirectories += (Test / baseDirectory).value / "src" / "test" / "scala-spark-master",
Antlr4 / antlr4Version := "4.13.1",
Test / javaOptions ++= Seq(
// Copied from SparkBuild.scala to support Java 17 for unit tests (see apache/spark#34153)
"--add-opens=java.base/java.lang=ALL-UNNAMED",
"--add-opens=java.base/java.lang.invoke=ALL-UNNAMED",
"--add-opens=java.base/java.io=ALL-UNNAMED",
"--add-opens=java.base/java.net=ALL-UNNAMED",
"--add-opens=java.base/java.nio=ALL-UNNAMED",
"--add-opens=java.base/java.util=ALL-UNNAMED",
"--add-opens=java.base/java.util.concurrent=ALL-UNNAMED",
"--add-opens=java.base/sun.nio.ch=ALL-UNNAMED",
"--add-opens=java.base/sun.nio.cs=ALL-UNNAMED",
"--add-opens=java.base/sun.security.action=ALL-UNNAMED",
"--add-opens=java.base/sun.util.calendar=ALL-UNNAMED"
)
// Java-/Scala-/Uni-Doc Settings
// This isn't working yet against Spark Master.
// 1) delta-spark on Spark Master uses JDK 17. delta-iceberg uses JDK 8 or 11. For some reason,
// generating delta-spark unidoc compiles delta-iceberg
// 2) delta-spark unidoc fails to compile. spark 3.5 is on its classpath. likely due to iceberg
// issue above.
)
}
def runTaskOnlyOnSparkMaster[T](
task: sbt.TaskKey[T],
taskName: String,
projectName: String,
emptyValue: => T): Def.Initialize[Task[T]] = {
if (getSparkVersion() == SPARK_MASTER_VERSION) {
Def.task(task.value)
} else {
Def.task {
// scalastyle:off println
println(s"Project $projectName: Skipping `$taskName` as Spark version " +
s"${getSparkVersion()} does not equal $SPARK_MASTER_VERSION.")
// scalastyle:on println
emptyValue
}
}
}
lazy val connectCommon = (project in file("spark-connect/common"))
.settings(
name := "delta-connect-common",
commonSettings,
crossSparkSettings(),
releaseSettings,
Compile / compile := runTaskOnlyOnSparkMaster(
task = Compile / compile,
taskName = "compile",
projectName = "delta-connect-common",
emptyValue = Analysis.empty.asInstanceOf[CompileAnalysis]
).value,
Test / test := runTaskOnlyOnSparkMaster(
task = Test / test,
taskName = "test",
projectName = "delta-connect-common",
emptyValue = ()).value,
publish := runTaskOnlyOnSparkMaster(
task = publish,
taskName = "publish",
projectName = "delta-connect-common",
emptyValue = ()).value,
libraryDependencies ++= Seq(
"io.grpc" % "protoc-gen-grpc-java" % grpcVersion asProtocPlugin(),
"io.grpc" % "grpc-protobuf" % grpcVersion,
"io.grpc" % "grpc-stub" % grpcVersion,
"com.google.protobuf" % "protobuf-java" % protoVersion % "protobuf",
"javax.annotation" % "javax.annotation-api" % "1.3.2",
"org.apache.spark" %% "spark-connect-common" % sparkVersion.value % "provided",
),
PB.protocVersion := protoVersion,
Compile / PB.targets := Seq(
PB.gens.java -> (Compile / sourceManaged).value,
PB.gens.plugin("grpc-java") -> (Compile / sourceManaged).value
),
)
lazy val connectServer = (project in file("spark-connect/server"))
.dependsOn(connectCommon % "compile->compile;test->test;provided->provided")
.dependsOn(spark % "compile->compile;test->test;provided->provided")
.settings(
name := "delta-connect-server",
commonSettings,
releaseSettings,
Compile / compile := runTaskOnlyOnSparkMaster(
task = Compile / compile,
taskName = "compile",
projectName = "delta-connect-server",
emptyValue = Analysis.empty.asInstanceOf[CompileAnalysis]
).value,
Test / test := runTaskOnlyOnSparkMaster(
task = Test / test,
taskName = "test",
projectName = "delta-connect-server",
emptyValue = ()
).value,
publish := runTaskOnlyOnSparkMaster(
task = publish,
taskName = "publish",
projectName = "delta-connect-server",
emptyValue = ()
).value,
crossSparkSettings(),
libraryDependencies ++= Seq(
"com.google.protobuf" % "protobuf-java" % protoVersion % "protobuf",
"org.apache.spark" %% "spark-hive" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-sql" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-core" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-catalyst" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-connect" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-catalyst" % sparkVersion.value % "test" classifier "tests",
"org.apache.spark" %% "spark-core" % sparkVersion.value % "test" classifier "tests",
"org.apache.spark" %% "spark-sql" % sparkVersion.value % "test" classifier "tests",
"org.apache.spark" %% "spark-hive" % sparkVersion.value % "test" classifier "tests",
"org.apache.spark" %% "spark-connect" % sparkVersion.value % "test" classifier "tests",
),
)
lazy val spark = (project in file("spark"))
.dependsOn(storage)
.enablePlugins(Antlr4Plugin)
.settings (
name := "delta-spark",
commonSettings,
scalaStyleSettings,
sparkMimaSettings,
releaseSettings,
crossSparkSettings(),
libraryDependencies ++= Seq(
// Adding test classifier seems to break transitive resolution of the core dependencies
"org.apache.spark" %% "spark-hive" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-sql" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-core" % sparkVersion.value % "provided",
"org.apache.spark" %% "spark-catalyst" % sparkVersion.value % "provided",
// For DynamoDBCommitStore
"com.amazonaws" % "aws-java-sdk" % "1.12.262" % "provided",
// Test deps
"org.scalatest" %% "scalatest" % scalaTestVersion % "test",
"org.scalatestplus" %% "scalacheck-1-15" % "3.2.9.0" % "test",
"junit" % "junit" % "4.13.2" % "test",
"com.novocode" % "junit-interface" % "0.11" % "test",
"org.apache.spark" %% "spark-catalyst" % sparkVersion.value % "test" classifier "tests",
"org.apache.spark" %% "spark-core" % sparkVersion.value % "test" classifier "tests",
"org.apache.spark" %% "spark-sql" % sparkVersion.value % "test" classifier "tests",
"org.apache.spark" %% "spark-hive" % sparkVersion.value % "test" classifier "tests",
),
Compile / packageBin / mappings := (Compile / packageBin / mappings).value ++
listPythonFiles(baseDirectory.value.getParentFile / "python"),
Antlr4 / antlr4PackageName := Some("io.delta.sql.parser"),
Antlr4 / antlr4GenListener := true,
Antlr4 / antlr4GenVisitor := true,
Test / testOptions += Tests.Argument("-oDF"),
Test / testOptions += Tests.Argument(TestFrameworks.JUnit, "-v", "-a"),
// Don't execute in parallel since we can't have multiple Sparks in the same JVM
Test / parallelExecution := false,
javaOptions += "-Xmx1024m",
// Configurations to speed up tests and reduce memory footprint
Test / javaOptions ++= Seq(
"-Dspark.ui.enabled=false",
"-Dspark.ui.showConsoleProgress=false",
"-Dspark.databricks.delta.snapshotPartitions=2",
"-Dspark.sql.shuffle.partitions=5",
"-Ddelta.log.cacheSize=3",
"-Dspark.databricks.delta.delta.log.cacheSize=3",
"-Dspark.sql.sources.parallelPartitionDiscovery.parallelism=5",
"-Xmx1024m"
),
// Required for testing table features see https://github.com/delta-io/delta/issues/1602
Test / envVars += ("DELTA_TESTING", "1"),
// Hack to avoid errors related to missing repo-root/target/scala-2.12/classes/
createTargetClassesDir := {
val dir = baseDirectory.value.getParentFile / "target" / "scala-2.12" / "classes"
Files.createDirectories(dir.toPath)
},
Compile / compile := ((Compile / compile) dependsOn createTargetClassesDir).value,
// Generate the package object to provide the version information in runtime.
Compile / sourceGenerators += Def.task {
val file = (Compile / sourceManaged).value / "io" / "delta" / "package.scala"
IO.write(file,
s"""package io
|
|package object delta {
| val VERSION = "${version.value}"
|}
|""".stripMargin)
Seq(file)
},
TestParallelization.settings,
)
.configureUnidoc(
generatedJavaDoc = getSparkVersion() == LATEST_RELEASED_SPARK_VERSION,
generateScalaDoc = getSparkVersion() == LATEST_RELEASED_SPARK_VERSION
)
lazy val contribs = (project in file("contribs"))
.dependsOn(spark % "compile->compile;test->test;provided->provided")
.settings (
name := "delta-contribs",
commonSettings,
scalaStyleSettings,
releaseSettings,
Compile / packageBin / mappings := (Compile / packageBin / mappings).value ++
listPythonFiles(baseDirectory.value.getParentFile / "python"),
Test / testOptions += Tests.Argument("-oDF"),
Test / testOptions += Tests.Argument(TestFrameworks.JUnit, "-v", "-a"),
// Don't execute in parallel since we can't have multiple Sparks in the same JVM
Test / parallelExecution := false,
javaOptions += "-Xmx1024m",
// Configurations to speed up tests and reduce memory footprint
Test / javaOptions ++= Seq(
"-Dspark.ui.enabled=false",
"-Dspark.ui.showConsoleProgress=false",
"-Dspark.databricks.delta.snapshotPartitions=2",
"-Dspark.sql.shuffle.partitions=5",
"-Ddelta.log.cacheSize=3",
"-Dspark.databricks.delta.delta.log.cacheSize=3",
"-Dspark.sql.sources.parallelPartitionDiscovery.parallelism=5",
"-Xmx1024m"
),
// Hack to avoid errors related to missing repo-root/target/scala-2.12/classes/
createTargetClassesDir := {
val dir = baseDirectory.value.getParentFile / "target" / "scala-2.12" / "classes"
Files.createDirectories(dir.toPath)
},
Compile / compile := ((Compile / compile) dependsOn createTargetClassesDir).value
).configureUnidoc()
lazy val sharing = (project in file("sharing"))
.dependsOn(spark % "compile->compile;test->test;provided->provided")
.settings(
name := "delta-sharing-spark",
commonSettings,
scalaStyleSettings,
releaseSettings,
Test / javaOptions ++= Seq("-ea"),
libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-sql" % defaultSparkVersion % "provided",
"io.delta" %% "delta-sharing-client" % "1.0.5",
// Test deps
"org.scalatest" %% "scalatest" % scalaTestVersion % "test",
"org.scalatestplus" %% "scalacheck-1-15" % "3.2.9.0" % "test",
"junit" % "junit" % "4.13.2" % "test",
"com.novocode" % "junit-interface" % "0.11" % "test",
"org.apache.spark" %% "spark-catalyst" % defaultSparkVersion % "test" classifier "tests",
"org.apache.spark" %% "spark-core" % defaultSparkVersion % "test" classifier "tests",
"org.apache.spark" %% "spark-sql" % defaultSparkVersion % "test" classifier "tests",
"org.apache.spark" %% "spark-hive" % defaultSparkVersion % "test" classifier "tests",
)
).configureUnidoc()
lazy val kernelApi = (project in file("kernel/kernel-api"))
.settings(
name := "delta-kernel-api",
commonSettings,
scalaStyleSettings,
javaOnlyReleaseSettings,
Test / javaOptions ++= Seq("-ea"),
libraryDependencies ++= Seq(
"org.roaringbitmap" % "RoaringBitmap" % "0.9.25",
"org.slf4j" % "slf4j-api" % "1.7.36",
"com.fasterxml.jackson.core" % "jackson-databind" % "2.13.5" % "test",
"org.scalatest" %% "scalatest" % scalaTestVersion % "test",
"junit" % "junit" % "4.13.2" % "test",
"com.novocode" % "junit-interface" % "0.11" % "test",
"org.slf4j" % "slf4j-log4j12" % "1.7.36" % "test"
),
// Generate the package object to provide the version information in runtime.
Compile / sourceGenerators += Def.task {
val file = (Compile / sourceManaged).value / "io" / "delta" / "kernel" / "Meta.java"
IO.write(file,
s"""/*
| * Copyright (2024) The Delta Lake Project Authors.
| *
| * Licensed 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.
| */
|package io.delta.kernel;
|
|public final class Meta {
| public static final String KERNEL_VERSION = "${version.value}";
|}
|""".stripMargin)
Seq(file)
},
javaCheckstyleSettings("dev/kernel-checkstyle.xml"),
// Unidoc settings
unidocSourceFilePatterns := Seq(SourceFilePattern("io/delta/kernel/")),
).configureUnidoc(docTitle = "Delta Kernel")
lazy val kernelDefaults = (project in file("kernel/kernel-defaults"))
.dependsOn(kernelApi)
.dependsOn(kernelApi % "test->test")
.dependsOn(storage)
.dependsOn(spark % "test->test")
.dependsOn(goldenTables % "test")
.settings(
name := "delta-kernel-defaults",
commonSettings,
scalaStyleSettings,
javaOnlyReleaseSettings,
Test / javaOptions ++= Seq("-ea"),
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client-runtime" % hadoopVersion,
"com.fasterxml.jackson.core" % "jackson-databind" % "2.13.5",
"org.apache.parquet" % "parquet-hadoop" % "1.12.3",
"org.scalatest" %% "scalatest" % scalaTestVersion % "test",
"junit" % "junit" % "4.13.2" % "test",
"commons-io" % "commons-io" % "2.8.0" % "test",
"com.novocode" % "junit-interface" % "0.11" % "test",
"org.slf4j" % "slf4j-log4j12" % "1.7.36" % "test",
// JMH dependencies allow writing micro-benchmarks for testing performance of components.
// JMH has framework to define benchmarks and takes care of many common functionalities
// such as warm runs, cold runs, defining benchmark parameter variables etc.
"org.openjdk.jmh" % "jmh-core" % "1.37" % "test",
"org.openjdk.jmh" % "jmh-generator-annprocess" % "1.37" % "test",
"org.apache.spark" %% "spark-hive" % defaultSparkVersion % "test" classifier "tests",
"org.apache.spark" %% "spark-sql" % defaultSparkVersion % "test" classifier "tests",
"org.apache.spark" %% "spark-core" % defaultSparkVersion % "test" classifier "tests",
"org.apache.spark" %% "spark-catalyst" % defaultSparkVersion % "test" classifier "tests",
),
javaCheckstyleSettings("dev/kernel-checkstyle.xml"),
// Unidoc settings
unidocSourceFilePatterns += SourceFilePattern("io/delta/kernel/"),
).configureUnidoc(docTitle = "Delta Kernel Defaults")
// TODO javastyle tests
// TODO unidoc
// TODO(scott): figure out a better way to include tests in this project
lazy val storage = (project in file("storage"))
.settings (
name := "delta-storage",
commonSettings,
javaOnlyReleaseSettings,
libraryDependencies ++= Seq(
// User can provide any 2.x or 3.x version. We don't use any new fancy APIs. Watch out for
// versions with known vulnerabilities.
"org.apache.hadoop" % "hadoop-common" % hadoopVersion % "provided",
// Note that the org.apache.hadoop.fs.s3a.Listing::createFileStatusListingIterator 3.3.1 API
// is not compatible with 3.3.2.
"org.apache.hadoop" % "hadoop-aws" % hadoopVersion % "provided",
// Test Deps
"org.scalatest" %% "scalatest" % scalaTestVersion % "test",
),
// Unidoc settings
unidocSourceFilePatterns += SourceFilePattern("/LogStore.java", "/CloseableIterator.java"),
).configureUnidoc()
lazy val storageS3DynamoDB = (project in file("storage-s3-dynamodb"))
.dependsOn(storage % "compile->compile;test->test;provided->provided")
.dependsOn(spark % "test->test")
.settings (
name := "delta-storage-s3-dynamodb",
commonSettings,
javaOnlyReleaseSettings,
// uncomment only when testing FailingS3DynamoDBLogStore. this will include test sources in
// a separate test jar.
// Test / publishArtifact := true,
libraryDependencies ++= Seq(
"com.amazonaws" % "aws-java-sdk" % "1.12.262" % "provided",
// Test Deps
"org.apache.hadoop" % "hadoop-aws" % hadoopVersion % "test", // RemoteFileChangedException
)
).configureUnidoc()
val icebergSparkRuntimeArtifactName = {
val (expMaj, expMin, _) = getMajorMinorPatch(defaultSparkVersion)
s"iceberg-spark-runtime-$expMaj.$expMin"
}
lazy val testDeltaIcebergJar = (project in file("testDeltaIcebergJar"))
// delta-iceberg depends on delta-spark! So, we need to include it during our test.
.dependsOn(spark % "test")
.settings(
name := "test-delta-iceberg-jar",
commonSettings,
skipReleaseSettings,
exportJars := true,
Compile / unmanagedJars += (iceberg / assembly).value,
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % hadoopVersion,
"org.scalatest" %% "scalatest" % scalaTestVersion % "test",
"org.apache.spark" %% "spark-core" % defaultSparkVersion % "test"
)
)
val deltaIcebergSparkIncludePrefixes = Seq(
// We want everything from this package
"org/apache/spark/sql/delta/icebergShaded",
// We only want the files in this project from this package. e.g. we want to exclude
// org/apache/spark/sql/delta/commands/convert/ConvertTargetFile.class (from delta-spark project).
"org/apache/spark/sql/delta/commands/convert/IcebergFileManifest",
"org/apache/spark/sql/delta/commands/convert/IcebergSchemaUtils",
"org/apache/spark/sql/delta/commands/convert/IcebergTable"
)
// Build using: build/sbt clean icebergShaded/compile iceberg/compile
// It will fail the first time, just re-run it.
// scalastyle:off println
lazy val iceberg = (project in file("iceberg"))
.dependsOn(spark % "compile->compile;test->test;provided->provided")
.settings (
name := "delta-iceberg",
commonSettings,
scalaStyleSettings,
releaseSettings,
libraryDependencies ++= Seq(
// Fix Iceberg's legacy java.lang.NoClassDefFoundError: scala/jdk/CollectionConverters$ error
// due to legacy scala.
"org.scala-lang.modules" %% "scala-collection-compat" % "2.1.1",
"org.apache.iceberg" %% icebergSparkRuntimeArtifactName % "1.4.0" % "provided",
"com.github.ben-manes.caffeine" % "caffeine" % "2.9.3"
),
Compile / unmanagedJars += (icebergShaded / assembly).value,
// Generate the assembly JAR as the package JAR
Compile / packageBin := assembly.value,
assembly / assemblyJarName := s"${name.value}_${scalaBinaryVersion.value}-${version.value}.jar",
assembly / logLevel := Level.Info,
assembly / test := {},
assembly / assemblyExcludedJars := {
// Note: the input here is only `libraryDependencies` jars, not `.dependsOn(_)` jars.
val allowedJars = Seq(
s"iceberg-shaded_${scalaBinaryVersion.value}-${version.value}.jar",
s"scala-library-${scala212}.jar",
s"scala-library-${scala213}.jar",
s"scala-collection-compat_${scalaBinaryVersion.value}-2.1.1.jar",
"caffeine-2.9.3.jar",
// Note: We are excluding
// - antlr4-runtime-4.9.3.jar
// - checker-qual-3.19.0.jar
// - error_prone_annotations-2.10.0.jar
)
val cp = (assembly / fullClasspath).value
// Return `true` when we want the jar `f` to be excluded from the assembly jar
cp.filter { f =>
val doExclude = !allowedJars.contains(f.data.getName)
println(s"Excluding jar: ${f.data.getName} ? $doExclude")
doExclude
}
},
assembly / assemblyMergeStrategy := {
// Project iceberg `dependsOn` spark and accidentally brings in it, along with its
// compile-time dependencies (like delta-storage). We want these excluded from the
// delta-iceberg jar.
case PathList("io", "delta", xs @ _*) =>
// - delta-storage will bring in classes: io/delta/storage
// - delta-spark will bring in classes: io/delta/exceptions/, io/delta/implicits,
// io/delta/package, io/delta/sql, io/delta/tables,
println(s"Discarding class: io/delta/${xs.mkString("/")}")
MergeStrategy.discard
case PathList("com", "databricks", xs @ _*) =>
// delta-spark will bring in com/databricks/spark/util
println(s"Discarding class: com/databricks/${xs.mkString("/")}")
MergeStrategy.discard
case PathList("org", "apache", "spark", xs @ _*)
if !deltaIcebergSparkIncludePrefixes.exists { prefix =>
s"org/apache/spark/${xs.mkString("/")}".startsWith(prefix) } =>
println(s"Discarding class: org/apache/spark/${xs.mkString("/")}")
MergeStrategy.discard
case PathList("scoverage", xs @ _*) =>
println(s"Discarding class: scoverage/${xs.mkString("/")}")
MergeStrategy.discard
case x =>
println(s"Including class: $x")
(assembly / assemblyMergeStrategy).value(x)
},
assemblyPackageScala / assembleArtifact := false
)
// scalastyle:on println
lazy val generateIcebergJarsTask = TaskKey[Unit]("generateIcebergJars", "Generate Iceberg JARs")
lazy val icebergShaded = (project in file("icebergShaded"))
.dependsOn(spark % "provided")
.settings (
name := "iceberg-shaded",
commonSettings,
skipReleaseSettings,
// Compile, patch and generated Iceberg JARs
generateIcebergJarsTask := {
import sys.process._
val scriptPath = baseDirectory.value / "generate_iceberg_jars.py"
// Download iceberg code in `iceberg_src` dir and generate the JARs in `lib` dir
Seq("python3", scriptPath.getPath)!
},
Compile / unmanagedJars := (Compile / unmanagedJars).dependsOn(generateIcebergJarsTask).value,
cleanFiles += baseDirectory.value / "iceberg_src",
cleanFiles += baseDirectory.value / "lib",
// Generated shaded Iceberg JARs
Compile / packageBin := assembly.value,
assembly / assemblyJarName := s"${name.value}_${scalaBinaryVersion.value}-${version.value}.jar",
assembly / logLevel := Level.Info,
assembly / test := {},
assembly / assemblyShadeRules := Seq(
ShadeRule.rename("org.apache.iceberg.**" -> "shadedForDelta.@0").inAll,
),
assemblyPackageScala / assembleArtifact := false,
// Make the 'compile' invoke the 'assembly' task to generate the uber jar.
)
lazy val hudi = (project in file("hudi"))
.dependsOn(spark % "compile->compile;test->test;provided->provided")
.settings (
name := "delta-hudi",
commonSettings,
scalaStyleSettings,
releaseSettings,
libraryDependencies ++= Seq(
"org.apache.hudi" % "hudi-java-client" % "0.14.0" % "compile" excludeAll(
ExclusionRule(organization = "org.apache.hadoop"),
ExclusionRule(organization = "org.apache.zookeeper"),
),
"org.apache.spark" %% "spark-avro" % defaultSparkVersion % "test" excludeAll ExclusionRule(organization = "org.apache.hadoop"),
"org.apache.parquet" % "parquet-avro" % "1.12.3" % "compile"
),
assembly / assemblyJarName := s"${name.value}-assembly_${scalaBinaryVersion.value}-${version.value}.jar",
assembly / logLevel := Level.Info,
assembly / test := {},
assembly / assemblyMergeStrategy := {
// Project hudi `dependsOn` spark and accidentally brings in it, along with its
// compile-time dependencies (like delta-storage). We want these excluded from the
// delta-hudi jar.
case PathList("io", "delta", xs @ _*) =>
// - delta-storage will bring in classes: io/delta/storage
// - delta-spark will bring in classes: io/delta/exceptions/, io/delta/implicits,
// io/delta/package, io/delta/sql, io/delta/tables,
MergeStrategy.discard
case PathList("com", "databricks", xs @ _*) =>
// delta-spark will bring in com/databricks/spark/util
MergeStrategy.discard
case PathList("org", "apache", "spark", "sql", "delta", "hudi", xs @ _*) =>
MergeStrategy.first
case PathList("org", "apache", "spark", xs @ _*) =>
MergeStrategy.discard
// Discard `module-info.class` to fix the `different file contents found` error.
// TODO Upgrade SBT to 1.5 which will do this automatically
case "module-info.class" => MergeStrategy.discard
// Discard unused `parquet.thrift` so that we don't conflict the file used by the user
case "parquet.thrift" => MergeStrategy.discard
// Hudi metadata writer requires this service file to be present on the classpath
case "META-INF/services/org.apache.hadoop.hbase.regionserver.MetricsRegionServerSourceFactory" => MergeStrategy.first
// Discard the jackson service configs that we don't need. These files are not shaded so
// adding them may conflict with other jackson version used by the user.
case PathList("META-INF", "services", xs @ _*) => MergeStrategy.discard
case x =>
MergeStrategy.first
},
// Make the 'compile' invoke the 'assembly' task to generate the uber jar.
Compile / packageBin := assembly.value
)
lazy val hive = (project in file("connectors/hive"))
.dependsOn(standaloneCosmetic)
.settings (
name := "delta-hive",
commonSettings,
releaseSettings,
// Minimal dependencies to compile the codes. This project doesn't run any tests so we don't
// need any runtime dependencies.
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % hadoopVersionForHive3 % "provided",
"org.apache.hive" % "hive-exec" % hiveVersion % "provided" classifier "core",
"org.apache.hive" % "hive-metastore" % hiveVersion % "provided"
),
)
lazy val hiveAssembly = (project in file("connectors/hive-assembly"))
.dependsOn(hive)
.settings(
name := "delta-hive-assembly",
Compile / unmanagedJars += (hive / Compile / packageBin / packageBin).value,
commonSettings,
skipReleaseSettings,
assembly / logLevel := Level.Info,
assembly / assemblyJarName := s"${name.value}_${scalaBinaryVersion.value}-${version.value}.jar",
assembly / test := {},
assembly / assemblyMergeStrategy := {
// Discard `module-info.class` to fix the `different file contents found` error.
// TODO Upgrade SBT to 1.5 which will do this automatically
case "module-info.class" => MergeStrategy.discard
// Discard unused `parquet.thrift` so that we don't conflict the file used by the user
case "parquet.thrift" => MergeStrategy.discard
// Discard the jackson service configs that we don't need. These files are not shaded so
// adding them may conflict with other jackson version used by the user.
case PathList("META-INF", "services", xs @ _*) => MergeStrategy.discard
case x => MergeStrategy.first
},
// Make the 'compile' invoke the 'assembly' task to generate the uber jar.
Compile / packageBin := assembly.value
)
lazy val hiveTest = (project in file("connectors/hive-test"))
.dependsOn(goldenTables % "test")
.settings (
name := "hive-test",
// Make the project use the assembly jar to ensure we are testing the assembly jar that users
// will use in real environment.
Compile / unmanagedJars += (hiveAssembly / Compile / packageBin / packageBin).value,
commonSettings,
skipReleaseSettings,
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % hadoopVersionForHive3 % "provided",
"org.apache.hive" % "hive-exec" % hiveVersion % "provided" classifier "core" excludeAll(
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule(organization = "com.google.protobuf")
),
"org.apache.hive" % "hive-metastore" % hiveVersion % "provided" excludeAll(
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule("org.apache.hive", "hive-exec")
),
"org.apache.hive" % "hive-cli" % hiveVersion % "test" excludeAll(
ExclusionRule("ch.qos.logback", "logback-classic"),
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm"),
ExclusionRule("org.apache.hive", "hive-exec"),
ExclusionRule("com.google.guava", "guava"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule(organization = "com.google.protobuf")
),
"org.scalatest" %% "scalatest" % scalaTestVersionForConnectors % "test"
)
)
lazy val hiveMR = (project in file("connectors/hive-mr"))
.dependsOn(hiveTest % "test->test")
.settings (
name := "hive-mr",
commonSettings,
skipReleaseSettings,
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % hadoopVersionForHive3 % "provided",
"org.apache.hive" % "hive-exec" % hiveVersion % "provided" excludeAll(
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm")
),
"org.apache.hadoop" % "hadoop-common" % hadoopVersionForHive3 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-mapreduce-client-hs" % hadoopVersionForHive3 % "test",
"org.apache.hadoop" % "hadoop-mapreduce-client-jobclient" % hadoopVersionForHive3 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-yarn-server-tests" % hadoopVersionForHive3 % "test" classifier "tests",
"org.apache.hive" % "hive-cli" % hiveVersion % "test" excludeAll(
ExclusionRule("ch.qos.logback", "logback-classic"),
ExclusionRule("com.google.guava", "guava"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm")
),
"org.scalatest" %% "scalatest" % scalaTestVersionForConnectors % "test"
)
)
lazy val hiveTez = (project in file("connectors/hive-tez"))
.dependsOn(hiveTest % "test->test")
.settings (
name := "hive-tez",
commonSettings,
skipReleaseSettings,
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % hadoopVersionForHive3 % "provided" excludeAll (
ExclusionRule(organization = "com.google.protobuf")
),
"com.google.protobuf" % "protobuf-java" % "2.5.0",
"org.apache.hive" % "hive-exec" % hiveVersion % "provided" classifier "core" excludeAll(
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule(organization = "com.google.protobuf")
),
"org.jodd" % "jodd-core" % "3.5.2",
"org.apache.hive" % "hive-metastore" % hiveVersion % "provided" excludeAll(
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule("org.apache.hive", "hive-exec")
),
"org.apache.hadoop" % "hadoop-common" % hadoopVersionForHive3 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-mapreduce-client-hs" % hadoopVersionForHive3 % "test",
"org.apache.hadoop" % "hadoop-mapreduce-client-jobclient" % hadoopVersionForHive3 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-yarn-server-tests" % hadoopVersionForHive3 % "test" classifier "tests",
"org.apache.hive" % "hive-cli" % hiveVersion % "test" excludeAll(
ExclusionRule("ch.qos.logback", "logback-classic"),
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm"),
ExclusionRule("org.apache.hive", "hive-exec"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule(organization = "com.google.protobuf")
),
"org.apache.hadoop" % "hadoop-yarn-common" % hadoopVersionForHive3 % "test",
"org.apache.hadoop" % "hadoop-yarn-api" % hadoopVersionForHive3 % "test",
"org.apache.tez" % "tez-mapreduce" % tezVersion % "test",
"org.apache.tez" % "tez-dag" % tezVersion % "test",
"org.apache.tez" % "tez-tests" % tezVersion % "test" classifier "tests",
"com.esotericsoftware" % "kryo-shaded" % "4.0.2" % "test",
"org.scalatest" %% "scalatest" % scalaTestVersionForConnectors % "test"
)
)
lazy val hive2MR = (project in file("connectors/hive2-mr"))
.dependsOn(goldenTables % "test")
.settings (
name := "hive2-mr",
commonSettings,
skipReleaseSettings,
Compile / unmanagedJars ++= Seq(
(hiveAssembly / Compile / packageBin / packageBin).value, // delta-hive assembly
(hiveTest / Test / packageBin / packageBin).value
),
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % hadoopVersionForHive2 % "provided",
"org.apache.hive" % "hive-exec" % hive2Version % "provided" excludeAll(
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm")
),
"org.apache.hadoop" % "hadoop-common" % hadoopVersionForHive2 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-mapreduce-client-hs" % hadoopVersionForHive2 % "test",
"org.apache.hadoop" % "hadoop-mapreduce-client-jobclient" % hadoopVersionForHive2 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-yarn-server-tests" % hadoopVersionForHive2 % "test" classifier "tests",
"org.apache.hive" % "hive-cli" % hive2Version % "test" excludeAll(
ExclusionRule("ch.qos.logback", "logback-classic"),
ExclusionRule("com.google.guava", "guava"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm")
),
"org.scalatest" %% "scalatest" % scalaTestVersionForConnectors % "test"
)
)
lazy val hive2Tez = (project in file("connectors/hive2-tez"))
.dependsOn(goldenTables % "test")
.settings (
name := "hive2-tez",
commonSettings,
skipReleaseSettings,
Compile / unmanagedJars ++= Seq(
(hiveAssembly / Compile / packageBin / packageBin).value,
(hiveTest / Test / packageBin / packageBin).value
),
libraryDependencies ++= Seq(
"org.apache.hadoop" % "hadoop-client" % hadoopVersionForHive2 % "provided" excludeAll (
ExclusionRule(organization = "com.google.protobuf")
),
"com.google.protobuf" % "protobuf-java" % "2.5.0",
"org.apache.hive" % "hive-exec" % hive2Version % "provided" classifier "core" excludeAll(
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule(organization = "com.google.protobuf")
),
"org.jodd" % "jodd-core" % "3.5.2",
"org.apache.hive" % "hive-metastore" % hive2Version % "provided" excludeAll(
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule("org.apache.hive", "hive-exec")
),
"org.apache.hadoop" % "hadoop-common" % hadoopVersionForHive2 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-mapreduce-client-hs" % hadoopVersionForHive2 % "test",
"org.apache.hadoop" % "hadoop-mapreduce-client-jobclient" % hadoopVersionForHive2 % "test" classifier "tests",
"org.apache.hadoop" % "hadoop-yarn-server-tests" % hadoopVersionForHive2 % "test" classifier "tests",
"org.apache.hive" % "hive-cli" % hive2Version % "test" excludeAll(
ExclusionRule("ch.qos.logback", "logback-classic"),
ExclusionRule("org.pentaho", "pentaho-aggdesigner-algorithm"),
ExclusionRule("org.apache.hive", "hive-exec"),
ExclusionRule(organization = "org.eclipse.jetty"),
ExclusionRule(organization = "com.google.protobuf")
),
"org.apache.hadoop" % "hadoop-yarn-common" % hadoopVersionForHive2 % "test",
"org.apache.hadoop" % "hadoop-yarn-api" % hadoopVersionForHive2 % "test",
"org.apache.tez" % "tez-mapreduce" % tezVersionForHive2 % "test",
"org.apache.tez" % "tez-dag" % tezVersionForHive2 % "test",
"org.apache.tez" % "tez-tests" % tezVersionForHive2 % "test" classifier "tests",
"com.esotericsoftware" % "kryo-shaded" % "4.0.2" % "test",
"org.scalatest" %% "scalatest" % scalaTestVersionForConnectors % "test"
)
)
/**
* We want to publish the `standalone` project's shaded JAR (created from the
* build/sbt standalone/assembly command).
*
* However, build/sbt standalone/publish and build/sbt standalone/publishLocal will use the
* non-shaded JAR from the build/sbt standalone/package command.
*
* So, we create an impostor, cosmetic project used only for publishing.
*
* build/sbt standaloneCosmetic/package
* - creates connectors/standalone/target/scala-2.12/delta-standalone-original-shaded_2.12-0.2.1-SNAPSHOT.jar
* (this is the shaded JAR we want)
*
* build/sbt standaloneCosmetic/publishM2