pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<!--
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~ 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
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~ 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.
-->
<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>3.4.2-SNAPSHOT</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>
</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>