spark/interpreter/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.
  ~ The ASF licenses this file to You under the Apache License, Version 2.0
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  ~    http://www.apache.org/licenses/LICENSE-2.0
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  ~ distributed under the License is distributed on an "AS IS" BASIS,
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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>0.11.0-SNAPSHOT</version>
    <relativePath>../pom.xml</relativePath>
  </parent>

  <artifactId>spark-interpreter</artifactId>
  <packaging>jar</packaging>
  <name>Zeppelin: Spark Interpreter</name>
  <description>Zeppelin spark support</description>

  <properties>
    <interpreter.name>spark</interpreter.name>
    <!--library versions-->
    <maven.plugin.api.version>3.0</maven.plugin.api.version>
    <aether.version>1.12</aether.version>
    <maven.aeither.provider.version>3.0.3</maven.aeither.provider.version>
    <wagon.version>2.7</wagon.version>

    <datanucleus.rdbms.version>3.2.9</datanucleus.rdbms.version>
    <datanucleus.apijdo.version>3.2.6</datanucleus.apijdo.version>
    <datanucleus.core.version>3.2.10</datanucleus.core.version>

    <!-- spark versions -->
    <spark.version>3.1.2</spark.version>
    <protobuf.version>2.5.0</protobuf.version>
    <py4j.version>0.10.9</py4j.version>
    <spark.scala.version>2.12.7</spark.scala.version>
    <spark.scala.binary.version>2.12</spark.scala.binary.version>

    <spark.archive>spark-${spark.version}</spark.archive>
    <spark.src.download.url>
      https://archive.apache.org/dist/spark/${spark.archive}/${spark.archive}.tgz
    </spark.src.download.url>
    <spark.bin.download.url>
      https://archive.apache.org/dist/spark/${spark.archive}/${spark.archive}-bin-without-hadoop.tgz
    </spark.bin.download.url>

    <scala.compile.version>${spark.scala.version}</scala.compile.version>
    <!-- settings -->
    <pyspark.test.exclude>**/PySparkInterpreterMatplotlibTest.java</pyspark.test.exclude>
    <pyspark.test.include>**/*Test.*</pyspark.test.include>
  </properties>

  <dependencies>
    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>zeppelin-display</artifactId>
      <version>${project.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>spark2-shims</artifactId>
      <version>${project.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>spark3-shims</artifactId>
      <version>${project.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>zeppelin-kotlin</artifactId>
      <version>${project.version}</version>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>zeppelin-python</artifactId>
      <version>${project.version}</version>
      <exclusions>
        <exclusion>
          <groupId>net.sf.py4j</groupId>
          <artifactId>py4j</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>zeppelin-jupyter-interpreter</artifactId>
      <version>${project.version}</version>
      <exclusions>
        <exclusion>
          <groupId>net.sf.py4j</groupId>
          <artifactId>py4j</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

    <dependency>
      <groupId>${project.groupId}</groupId>
      <artifactId>zeppelin-python</artifactId>
      <version>${project.version}</version>
      <classifier>tests</classifier>
      <scope>test</scope>
      <exclusions>
        <exclusion>
          <groupId>net.sf.py4j</groupId>
          <artifactId>py4j</artifactId>
        </exclusion>
        <exclusion>
          <groupId>io.netty</groupId>
          <artifactId>*</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>r</artifactId>
      <version>${project.version}</version>
      <classifier>tests</classifier>
      <scope>test</scope>
      <exclusions>
        <exclusion>
          <groupId>org.apache.spark</groupId>
          <artifactId>spark-core_2.11</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

    <dependency>
      <groupId>org.apache.zeppelin</groupId>
      <artifactId>zeppelin-jupyter-interpreter</artifactId>
      <version>${project.version}</version>
      <classifier>tests</classifier>
      <scope>test</scope>
      <exclusions>
        <exclusion>
          <groupId>net.sf.py4j</groupId>
          <artifactId>py4j</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

    <dependency>
      <groupId>${project.groupId}</groupId>
      <artifactId>r</artifactId>
      <version>${project.version}</version>
      <exclusions>
        <exclusion>
          <groupId>*</groupId>
          <artifactId>*</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

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

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

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

    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-common</artifactId>
      <version>${hadoop.version}</version>
      <scope>provided</scope>
      <exclusions>
        <exclusion>
          <groupId>com.google.protobuf</groupId>
          <artifactId>protobuf-java</artifactId>
        </exclusion>
        <exclusion>
          <groupId>commons-lang</groupId>
          <artifactId>commons-lang</artifactId>
        </exclusion>
      </exclusions>
    </dependency>

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

    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-library</artifactId>
      <version>${spark.scala.version}</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-compiler</artifactId>
      <version>${spark.scala.version}</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.scala-lang</groupId>
      <artifactId>scala-reflect</artifactId>
      <version>${spark.scala.version}</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.commons</groupId>
      <artifactId>commons-lang3</artifactId>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.commons</groupId>
      <artifactId>commons-compress</artifactId>
      <version>${commons.compress.version}</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.jsoup</groupId>
      <artifactId>jsoup</artifactId>
      <version>${jsoup.version}</version>
    </dependency>

    <!--test libraries-->
    <dependency>
      <groupId>org.datanucleus</groupId>
      <artifactId>datanucleus-core</artifactId>
      <version>${datanucleus.core.version}</version>
      <scope>test</scope>
    </dependency>

    <dependency>
      <groupId>org.datanucleus</groupId>
      <artifactId>datanucleus-api-jdo</artifactId>
      <version>${datanucleus.apijdo.version}</version>
      <scope>test</scope>
    </dependency>

    <dependency>
      <groupId>org.datanucleus</groupId>
      <artifactId>datanucleus-rdbms</artifactId>
      <version>${datanucleus.rdbms.version}</version>
      <scope>test</scope>
    </dependency>

    <dependency>
      <groupId>org.mockito</groupId>
      <artifactId>mockito-core</artifactId>
      <scope>test</scope>
    </dependency>

    <dependency>
      <groupId>net.jodah</groupId>
      <artifactId>concurrentunit</artifactId>
      <version>0.4.4</version>
      <scope>test</scope>
    </dependency>

    <dependency>
      <groupId>com.mashape.unirest</groupId>
      <artifactId>unirest-java</artifactId>
      <version>1.4.9</version>
      <scope>test</scope>
    </dependency>

  </dependencies>

  <build>
    <plugins>

      <plugin>
        <groupId>com.googlecode.maven-download-plugin</groupId>
        <artifactId>download-maven-plugin</artifactId>
        <executions>
          <!-- include pyspark by default -->
          <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>
          <!-- include sparkr by default -->
          <execution>
            <id>download-sparkr-files</id>
            <phase>validate</phase>
            <goals>
              <goal>wget</goal>
            </goals>
            <configuration>
              <readTimeOut>60000</readTimeOut>
              <retries>5</retries>
              <url>${spark.bin.download.url}</url>
              <unpack>true</unpack>
              <outputDirectory>${project.build.directory}</outputDirectory>
            </configuration>
          </execution>
        </executions>
      </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 file="${project.build.directory}/${spark.archive}/python/lib/py4j-${py4j.version}-src.zip" todir="${project.build.directory}/../../../interpreter/spark/pyspark" />
                <zip basedir="${project.build.directory}/${spark.archive}/python" destfile="${project.build.directory}/../../../interpreter/spark/pyspark/pyspark.zip" includes="pyspark/*.py,pyspark/**/*.py" />
              </target>
            </configuration>
          </execution>
        </executions>
      </plugin>

      <plugin>
        <artifactId>maven-resources-plugin</artifactId>
        <executions>
          <execution>
            <id>copy-sparkr-files</id>
            <phase>generate-resources</phase>
            <goals>
              <goal>copy-resources</goal>
            </goals>
            <configuration>
              <outputDirectory>${project.build.directory}/../../../interpreter/spark/R/lib</outputDirectory>
              <resources>
                <resource>
                  <directory>
                    ${project.build.directory}/spark-${spark.version}-bin-without-hadoop/R/lib
                  </directory>
                </resource>
              </resources>
            </configuration>
          </execution>
          <execution>
            <id>copy-interpreter-setting</id>
            <phase>package</phase>
            <goals>
              <goal>resources</goal>
            </goals>
            <configuration>
              <outputDirectory>${project.build.directory}/../../../interpreter/${interpreter.name}</outputDirectory>
            </configuration>
          </execution>
        </executions>
      </plugin>

      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-surefire-plugin</artifactId>
        <configuration>
          <forkCount>1</forkCount>
          <reuseForks>false</reuseForks>
          <argLine>-Xmx3072m -XX:MaxMetaspaceSize=256m</argLine>
          <excludes>
            <exclude>${pyspark.test.exclude}</exclude>
            <exclude>${tests.to.exclude}</exclude>
          </excludes>
          <environmentVariables>
            <PYTHONPATH>${project.build.directory}/../../../interpreter/spark/pyspark/pyspark.zip:${project.build.directory}/../../../interpreter/spark/pyspark/py4j-${py4j.version}-src.zip</PYTHONPATH>
            <ZEPPELIN_HOME>${basedir}/../../</ZEPPELIN_HOME>
          </environmentVariables>
        </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>

          <artifactSet>
            <excludes>
              <exclude>org.scala-lang:scala-library</exclude>
              <exclude>org.scala-lang:scala-compiler</exclude>
              <exclude>org.scala-lang:scala-reflect</exclude>
              <exclude>commons-lang:commons-lang</exclude>
              <exclude>org.apache.commons:commons-compress</exclude>
              <exclude>org.apache.zeppelin:zeppelin-interpreter-shaded</exclude>
            </excludes>
          </artifactSet>

          <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>
          <relocations>
            <relocation>
              <pattern>io.netty</pattern>
              <shadedPattern>org.apache.zeppelin.io.netty</shadedPattern>
            </relocation>
            <relocation>
              <pattern>com.google</pattern>
              <shadedPattern>org.apache.zeppelin.com.google</shadedPattern>
            </relocation>
            <relocation>
              <pattern>com.facebook.fb303</pattern>
              <shadedPattern>org.apache.zeppelin.com.facebook.fb303</shadedPattern>
            </relocation>
          </relocations>
          <outputFile>${project.basedir}/../../interpreter/${interpreter.name}/${project.artifactId}-${project.version}.jar</outputFile>
        </configuration>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>shade</goal>
            </goals>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>

  <profiles>

    <!-- profile spark-scala-x only affect the unit test in spark/interpreter module -->

    <profile>
      <id>spark-scala-2.13</id>
      <properties>
        <spark.scala.version>2.13.4</spark.scala.version>
        <spark.scala.binary.version>2.13</spark.scala.binary.version>
      </properties>
    </profile>

    <profile>
      <id>spark-scala-2.12</id>
      <activation>
        <activeByDefault>true</activeByDefault>
      </activation>
      <properties>
        <spark.scala.version>2.12.7</spark.scala.version>
        <spark.scala.binary.version>2.12</spark.scala.binary.version>
      </properties>
    </profile>

    <profile>
      <id>spark-scala-2.11</id>
      <properties>
        <spark.scala.version>2.11.12</spark.scala.version>
        <spark.scala.binary.version>2.11</spark.scala.binary.version>
      </properties>
    </profile>

    <!-- profile spark-x only affect spark version used in test -->
    <profile>
      <id>spark-3.4</id>
      <activation>
        <activeByDefault>true</activeByDefault>
      </activation>
      <properties>
        <datanucleus.core.version>4.1.17</datanucleus.core.version>
        <datanucleus.rdbms.version>4.1.19</datanucleus.rdbms.version>
        <datanucleus.apijdo.version>4.2.4</datanucleus.apijdo.version>
        <spark.version>3.4.0</spark.version>
        <protobuf.version>3.21.12</protobuf.version>
        <py4j.version>0.10.9.7</py4j.version>
      </properties>
    </profile>

    <profile>
      <id>spark-3.3</id>
      <properties>
        <datanucleus.core.version>4.1.17</datanucleus.core.version>
        <datanucleus.rdbms.version>4.1.19</datanucleus.rdbms.version>
        <datanucleus.apijdo.version>4.2.4</datanucleus.apijdo.version>
        <spark.version>3.3.0</spark.version>
        <protobuf.version>2.5.0</protobuf.version>
        <py4j.version>0.10.9.5</py4j.version>
      </properties>
    </profile>

    <profile>
      <id>spark-3.2</id>
      <properties>
        <datanucleus.core.version>4.1.17</datanucleus.core.version>
        <datanucleus.rdbms.version>4.1.19</datanucleus.rdbms.version>
        <datanucleus.apijdo.version>4.2.4</datanucleus.apijdo.version>
        <spark.version>3.2.0</spark.version>
        <protobuf.version>2.5.0</protobuf.version>
        <py4j.version>0.10.9.2</py4j.version>
      </properties>
    </profile>

    <profile>
      <id>spark-3.1</id>
      <properties>
        <datanucleus.core.version>4.1.17</datanucleus.core.version>
        <datanucleus.rdbms.version>4.1.19</datanucleus.rdbms.version>
        <datanucleus.apijdo.version>4.2.4</datanucleus.apijdo.version>
        <spark.version>3.1.2</spark.version>
        <protobuf.version>2.5.0</protobuf.version>
        <py4j.version>0.10.9</py4j.version>
      </properties>
    </profile>

    <profile>
      <id>spark-3.0</id>
      <properties>
        <datanucleus.core.version>4.1.17</datanucleus.core.version>
        <datanucleus.rdbms.version>4.1.19</datanucleus.rdbms.version>
        <datanucleus.apijdo.version>4.2.4</datanucleus.apijdo.version>
        <spark.version>3.0.3</spark.version>
        <protobuf.version>2.5.0</protobuf.version>
        <py4j.version>0.10.9</py4j.version>
      </properties>
    </profile>

    <profile>
      <id>spark-2.4</id>
      <properties>
        <spark.version>2.4.5</spark.version>
        <protobuf.version>2.5.0</protobuf.version>
        <py4j.version>0.10.7</py4j.version>
      </properties>
    </profile>

  </profiles>

</project>