pom.xml

<?xml version="1.0" encoding="UTF-8"?>
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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.
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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_2.12</artifactId>
    <version>3.5.0</version>
    <relativePath>../pom.xml</relativePath>
  </parent>

  <artifactId>spark-assembly_2.12</artifactId>
  <name>Spark Project Assembly</name>
  <url>https://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 file="${basedir}/../python/lib/pyspark.zip"/>
              <zip destfile="${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>
        <dependency>
          <groupId>org.apache.hadoop</groupId>
          <artifactId>hadoop-yarn-server-web-proxy</artifactId>
        </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>connect</id>
      <dependencies>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-connect_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
        </dependency>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-avro_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
          <scope>provided</scope>
        </dependency>
        <dependency>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-protobuf_${scala.binary.version}</artifactId>
          <version>${project.version}</version>
          <scope>provided</scope>
        </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>
        <!--
        Redeclare this dependency to force it into the distribution.
        -->
        <dependency>
          <groupId>org.eclipse.jetty</groupId>
          <artifactId>jetty-util</artifactId>
          <scope>${hadoop.deps.scope}</scope>
        </dependency>
      </dependencies>
    </profile>
  </profiles>
</project>