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pom.xml
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pom.xml
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<?xml version="1.0" encoding="UTF-8"?>
<!--
~ 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
~
~ 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 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<artifactId>zeppelin-interpreter-parent</artifactId>
<groupId>org.apache.zeppelin</groupId>
<version>0.10.2-SNAPSHOT</version>
<relativePath>../zeppelin-interpreter-parent/pom.xml</relativePath>
</parent>
<artifactId>spark-parent</artifactId>
<packaging>pom</packaging>
<name>Zeppelin: Spark Parent</name>
<description>Zeppelin Spark Support</description>
<properties>
<!--library versions-->
<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}/${spark.archive}-bin-without-hadoop.tgz
</spark.bin.download.url>
</properties>
<modules>
<module>interpreter</module>
<module>spark-scala-parent</module>
<module>scala-2.10</module>
<module>scala-2.11</module>
<module>scala-2.12</module>
<module>spark-dependencies</module>
<module>spark-shims</module>
<module>spark1-shims</module>
<module>spark2-shims</module>
<module>spark3-shims</module>
</modules>
<build>
<plugins>
<plugin>
<artifactId>maven-enforcer-plugin</artifactId>
<executions>
<execution>
<id>enforce</id>
<phase>none</phase>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-clean-plugin</artifactId>
<configuration combine.self="override"></configuration>
</plugin>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<executions>
<execution>
<id>eclipse-add-source</id>
<goals>
<goal>add-source</goal>
</goals>
</execution>
<execution>
<id>scala-compile-first</id>
<phase>process-resources</phase>
<goals>
<goal>compile</goal>
</goals>
</execution>
<execution>
<id>scala-test-compile-first</id>
<phase>process-test-resources</phase>
<goals>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
<configuration>
<scalaVersion>${scala.compile.version}</scalaVersion>
<args>
<arg>-unchecked</arg>
<arg>-deprecation</arg>
<arg>-feature</arg>
</args>
<jvmArgs>
<jvmArg>-Xms1024m</jvmArg>
<jvmArg>-Xmx1024m</jvmArg>
<jvmArg>-XX:MaxMetaspaceSize=${MaxMetaspace}</jvmArg>
</jvmArgs>
<javacArgs>
<javacArg>-source</javacArg>
<javacArg>${java.version}</javacArg>
<javacArg>-target</javacArg>
<javacArg>${java.version}</javacArg>
<javacArg>-Xlint:all,-serial,-path,-options</javacArg>
</javacArgs>
</configuration>
</plugin>
</plugins>
</build>
<profiles>
<!-- profile spark-scala-x only affect the unit test in spark/interpreter module -->
<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>
<id>spark-scala-2.10</id>
<properties>
<spark.scala.version>2.10.5</spark.scala.version>
<spark.scala.binary.version>2.10</spark.scala.binary.version>
</properties>
</profile>
<!-- profile spark-x only affect the embedded spark version in zeppelin distribution -->
<profile>
<id>spark-3.2</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>3.2.0</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>
<profile>
<id>spark-2.3</id>
<properties>
<spark.version>2.3.3</spark.version>
<protobuf.version>2.5.0</protobuf.version>
<py4j.version>0.10.7</py4j.version>
</properties>
</profile>
<profile>
<id>spark-2.2</id>
<properties>
<spark.version>2.2.3</spark.version>
<py4j.version>0.10.7</py4j.version>
</properties>
</profile>
<profile>
<id>spark-2.1</id>
<properties>
<spark.version>2.1.3</spark.version>
<py4j.version>0.10.7</py4j.version>
</properties>
</profile>
<profile>
<id>spark-2.0</id>
<properties>
<spark.version>2.0.2</spark.version>
<py4j.version>0.10.3</py4j.version>
</properties>
</profile>
<profile>
<id>spark-1.6</id>
<properties>
<spark.version>1.6.3</spark.version>
<py4j.version>0.9</py4j.version>
</properties>
</profile>
</profiles>
</project>