spark-instrumented-optimizer/assembly/pom.xml

<?xml version="1.0" encoding="UTF-8"?>
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  ~ contributor license agreements.  See the NOTICE file distributed with
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  ~    http://www.apache.org/licenses/LICENSE-2.0
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <parent>
    <groupId>org.apache.spark</groupId>
    <artifactId>spark-parent_2.11</artifactId>
    <version>2.3.0-SNAPSHOT</version>
    <relativePath>../pom.xml</relativePath>
  </parent>

  <artifactId>spark-assembly_2.11</artifactId>
  <name>Spark Project Assembly</name>
  <url>http://spark.apache.org/</url>
  <packaging>pom</packaging>

  <properties>
    <sbt.project.name>assembly</sbt.project.name>
    <build.testJarPhase>none</build.testJarPhase>
    <build.copyDependenciesPhase>package</build.copyDependenciesPhase>
  </properties>

  <dependencies>
    <!-- Prevent our dummy JAR from being included in Spark distributions or uploaded to YARN -->
    <dependency>
      <groupId>org.spark-project.spark</groupId>
      <artifactId>unused</artifactId>
      <version>1.0.0</version>
      <scope>provided</scope>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_${scala.binary.version}</artifactId>
      <version>${project.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-mllib_${scala.binary.version}</artifactId>
      <version>${project.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-streaming_${scala.binary.version}</artifactId>
      <version>${project.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-graphx_${scala.binary.version}</artifactId>
      <version>${project.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_${scala.binary.version}</artifactId>
      <version>${project.version}</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-repl_${scala.binary.version}</artifactId>
      <version>${project.version}</version>
    </dependency>

    <!--
      Because we don't shade dependencies anymore, we need to restore Guava to compile scope so
      that the libraries Spark depend on have it available. We'll package the version that Spark
      uses (14.0.1) which is not the same as Hadoop dependencies, but works.
    -->
    <dependency>
      <groupId>com.google.guava</groupId>
      <artifactId>guava</artifactId>
      <scope>${hadoop.deps.scope}</scope>
    </dependency>
  </dependencies>

  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-deploy-plugin</artifactId>
        <configuration>
          <skip>true</skip>
        </configuration>
      </plugin>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-install-plugin</artifactId>
        <configuration>
          <skip>true</skip>
        </configuration>
      </plugin>
      <!-- zip pyspark archives to run python application on yarn mode -->
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
          <artifactId>maven-antrun-plugin</artifactId>
          <executions>
            <execution>
              <phase>package</phase>
                <goals>
                  <goal>run</goal>
                </goals>
            </execution>
          </executions>
          <configuration>
            <target>
              <delete dir="${basedir}/../python/lib/pyspark.zip"/>
              <zip destfile="${basedir}/../python/lib/pyspark.zip">
                <fileset dir="${basedir}/../python/" includes="pyspark/**/*"/>
              </zip>
            </target>
          </configuration>
      </plugin>
    </plugins>
  </build>

  <profiles>
    <profile>
      <id>yarn</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-yarn_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
      </dependencies>
    </profile>
    <profile>
      <id>mesos</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-mesos_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
      </dependencies>
    </profile>
    <profile>
      <id>kubernetes</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-kubernetes_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
      </dependencies>
    </profile>
    <profile>
      <id>hive</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-hive_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
      </dependencies>
    </profile>
    <profile>
      <id>hive-thriftserver</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-hive-thriftserver_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
      </dependencies>
    </profile>
    <profile>
      <id>spark-ganglia-lgpl</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-ganglia-lgpl_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
      </dependencies>
    </profile>
    <profile>
      <id>bigtop-dist</id>
      <!-- This profile uses the assembly plugin to create a special "dist" package for BigTop
           that contains Spark but not the Hadoop JARs it depends on. -->
      <build>
        <plugins>
          <plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-assembly-plugin</artifactId>
            <version>3.1.0</version>
            <executions>
              <execution>
                <id>dist</id>
                <phase>package</phase>
                <goals>
                  <goal>single</goal>
                </goals>
                <configuration>
                  <descriptors>
                    <descriptor>src/main/assembly/assembly.xml</descriptor>
                  </descriptors>
                </configuration>
              </execution>
            </executions>
          </plugin>
        </plugins>
      </build>
    </profile>

    <!-- Profiles that disable inclusion of certain dependencies. -->
    <profile>
      <id>hadoop-provided</id>
      <properties>
        <hadoop.deps.scope>provided</hadoop.deps.scope>
      </properties>
    </profile>
    <profile>
      <id>hive-provided</id>
      <properties>
        <hive.deps.scope>provided</hive.deps.scope>
      </properties>
    </profile>
    <profile>
      <id>orc-provided</id>
      <properties>
        <orc.deps.scope>provided</orc.deps.scope>
      </properties>
    </profile>
    <profile>
      <id>parquet-provided</id>
      <properties>
        <parquet.deps.scope>provided</parquet.deps.scope>
      </properties>
    </profile>

    <!--
     Pull in spark-hadoop-cloud and its associated JARs,
    -->
    <profile>
      <id>hadoop-cloud</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-hadoop-cloud_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
      </dependencies>
    </profile>
  </profiles>
</project>