Description

<dependency>
    <groupId>org.apache.zeppelin</groupId>
    <artifactId>zeppelin-spark-dependencies</artifactId>
    <version>0.10.1</version>
</dependency>

<?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.
  ~ 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
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  ~ distributed under the License is distributed on an "AS IS" BASIS,
  ~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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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 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>

  <parent>
    <artifactId>spark-parent</artifactId>
    <groupId>org.apache.zeppelin</groupId>
    <version>0.10.1</version>
  </parent>

  <artifactId>zeppelin-spark-dependencies</artifactId>
  <packaging>jar</packaging>
  <name>Zeppelin: Spark dependencies</name>
  <description>Zeppelin spark support</description>

  <properties>
    <!-- library version defined in this section brought from spark 1.4.1 and it's dependency.
         Therefore changing only spark.version is not going to be enough when this module
         support new version of spark to make the new version as default supported version.

         Each profile (spark-2.0, spark-1.6, etc) will overrides necessary dependency version.
         So we'll make one of those profile 'activateByDefault' to make it default supported version
         instead of changing spark.version in this section.
    -->

    <hadoop.version>${hadoop2.7.version}</hadoop.version>
    <yarn.version>${hadoop.version}</yarn.version>
    <avro.version>1.7.7</avro.version>
    <avro.mapred.classifier/>
    <jets3t.version>0.7.1</jets3t.version>
    <protobuf.version>2.4.1</protobuf.version>

    <akka.group>org.spark-project.akka</akka.group>
    <akka.version>2.3.4-spark</akka.version>
  </properties>

  <dependencies>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>spark-interpreter</artifactId>
      <version>${project.version}</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>spark-scala-2.10</artifactId>
      <version>${project.version}</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>spark-scala-2.11</artifactId>
      <version>${project.version}</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>spark-scala-2.12</artifactId>
      <version>${project.version}</version>
      <scope>provided</scope>
    </dependency>

    <!-- Spark -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_${spark.scala.binary.version}</artifactId>
      <version>${spark.version}</version>
      <exclusions>
        <exclusion>
          <groupId>org.apache.hadoop</groupId>
          <artifactId>hadoop-client</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-repl_${spark.scala.binary.version}</artifactId>
      <version>${spark.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_${spark.scala.binary.version}</artifactId>
      <version>${spark.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-hive_${spark.scala.binary.version}</artifactId>
      <version>${spark.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-streaming_${spark.scala.binary.version}</artifactId>
      <version>${spark.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-catalyst_${spark.scala.binary.version}</artifactId>
      <version>${spark.version}</version>
    </dependency>

    <!-- hadoop -->
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>${hadoop.version}</version>
      <scope>compile</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-yarn_${spark.scala.binary.version}</artifactId>
      <version>${spark.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-yarn-api</artifactId>
      <version>${yarn.version}</version>
      <scope>compile</scope>
    </dependency>

  </dependencies>

  <build>
    <plugins>
      <plugin>
        <artifactId>maven-enforcer-plugin</artifactId>
        <executions>
          <execution>
            <id>enforce</id>
            <phase>none</phase>
          </execution>
        </executions>
      </plugin>

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-surefire-plugin</artifactId>
        <configuration>
          <forkCount>1</forkCount>
          <reuseForks>false</reuseForks>
          <argLine>-Xmx1024m -XX:MaxMetaspaceSize=256m</argLine>
        </configuration>
      </plugin>

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-shade-plugin</artifactId>
        <configuration>
          <filters>
            <filter>
              <artifact>*:*</artifact>
              <excludes>
                <exclude>org/datanucleus/**</exclude>
                <exclude>META-INF/*.SF</exclude>
                <exclude>META-INF/*.DSA</exclude>
                <exclude>META-INF/*.RSA</exclude>
              </excludes>
            </filter>
          </filters>
          <transformers>
            <transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
            <transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
              <resource>reference.conf</resource>
            </transformer>
          </transformers>
          <outputFile>${project.basedir}/../../interpreter/spark/dep/${project.artifactId}-${project.version}.jar</outputFile>
        </configuration>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>shade</goal>
            </goals>
          </execution>
        </executions>
      </plugin>

      <plugin>
        <artifactId>maven-resources-plugin</artifactId>
        <executions>
          <execution>
            <id>copy-interpreter-setting</id>
            <phase>none</phase>
            <configuration>
              <skip>true</skip>
            </configuration>
          </execution>
        </executions>
      </plugin>

      <!-- include pyspark by default -->
      <plugin>
        <groupId>com.googlecode.maven-download-plugin</groupId>
        <artifactId>download-maven-plugin</artifactId>
        <executions>
          <execution>
            <id>download-pyspark-files</id>
            <phase>validate</phase>
            <goals>
              <goal>wget</goal>
            </goals>
            <configuration>
              <readTimeOut>60000</readTimeOut>
              <retries>5</retries>
              <unpack>true</unpack>
              <url>${spark.src.download.url}</url>
              <outputDirectory>${project.build.directory}</outputDirectory>
            </configuration>
          </execution>
        </executions>
      </plugin>

      <plugin>
        <artifactId>maven-clean-plugin</artifactId>
        <configuration>
          <filesets>
            <fileset>
              <directory>${basedir}/../python/build</directory>
            </fileset>
          </filesets>
        </configuration>
      </plugin>

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-antrun-plugin</artifactId>
        <executions>
          <execution>
            <id>zip-pyspark-files</id>
            <phase>generate-resources</phase>
            <goals>
              <goal>run</goal>
            </goals>
            <configuration>
              <target>
                <delete dir="../../interpreter/spark/pyspark"/>
                <copy todir="../../interpreter/spark/pyspark"
                      file="${project.build.directory}/${spark.archive}/python/lib/py4j-${py4j.version}-src.zip"/>
                <zip destfile="${project.build.directory}/../../../interpreter/spark/pyspark/pyspark.zip"
                     basedir="${project.build.directory}/${spark.archive}/python"
                     includes="pyspark/*.py,pyspark/**/*.py"/>
              </target>
            </configuration>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>


</project>