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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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.apache.spark</groupId>
<artifactId>spark-parent</artifactId>
<version>1.2.1-SNAPSHOT</version>
<relativePath>../pom.xml</relativePath>
</parent>
<groupId>org.apache.spark</groupId>
<artifactId>spark-examples_2.11</artifactId>
<properties>
<sbt.project.name>examples</sbt.project.name>
</properties>
<packaging>jar</packaging>
<name>Spark Project Examples</name>
<url>http://spark.apache.org/</url>
<dependencies>
<!-- Promote Guava to compile scope in this module so it's included while shading. -->
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-bagel_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-graphx_${scala.binary.version}</artifactId>
<version>${project.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-twitter_${scala.binary.version}</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-flume_${scala.binary.version}</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-mqtt_${scala.binary.version}</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-zeromq_${scala.binary.version}</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-server</artifactId>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-testing-util</artifactId>
<version>${hbase.version}</version>
<exclusions>
<exclusion>
<groupId>org.jruby</groupId>
<artifactId>jruby-complete</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-protocol</artifactId>
<version>${hbase.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-common</artifactId>
<version>${hbase.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>${hbase.version}</version>
<exclusions>
<exclusion>
<groupId>io.netty</groupId>
<artifactId>netty</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>${hbase.version}</version>
<exclusions>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-jobclient</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-auth</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-annotations</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-hadoop1-compat</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math</artifactId>
</exclusion>
<exclusion>
<groupId>com.sun.jersey</groupId>
<artifactId>jersey-core</artifactId>
</exclusion>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
</exclusion>
<exclusion>
<groupId>com.sun.jersey</groupId>
<artifactId>jersey-server</artifactId>
</exclusion>
<exclusion>
<groupId>com.sun.jersey</groupId>
<artifactId>jersey-core</artifactId>
</exclusion>
<exclusion>
<groupId>com.sun.jersey</groupId>
<artifactId>jersey-json</artifactId>
</exclusion>
<exclusion>
<!-- hbase uses v2.4, which is better, but ...-->
<groupId>commons-io</groupId>
<artifactId>commons-io</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-hadoop-compat</artifactId>
<version>${hbase.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-hadoop-compat</artifactId>
<version>${hbase.version}</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
</dependency>
<dependency>
<groupId>org.scalatest</groupId>
<artifactId>scalatest_${scala.binary.version}</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.scalacheck</groupId>
<artifactId>scalacheck_${scala.binary.version}</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.cassandra</groupId>
<artifactId>cassandra-all</artifactId>
<version>1.2.6</version>
<exclusions>
<exclusion>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</exclusion>
<exclusion>
<groupId>com.googlecode.concurrentlinkedhashmap</groupId>
<artifactId>concurrentlinkedhashmap-lru</artifactId>
</exclusion>
<exclusion>
<groupId>com.ning</groupId>
<artifactId>compress-lzf</artifactId>
</exclusion>
<exclusion>
<groupId>io.netty</groupId>
<artifactId>netty</artifactId>
</exclusion>
<exclusion>
<groupId>jline</groupId>
<artifactId>jline</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.cassandra.deps</groupId>
<artifactId>avro</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>com.github.scopt</groupId>
<artifactId>scopt_${scala.binary.version}</artifactId>
<version>3.2.0</version>
</dependency>
</dependencies>
<build>
<outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
<testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
<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>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<configuration>
<shadedArtifactAttached>false</shadedArtifactAttached>
<outputFile>${project.build.directory}/scala-${scala.binary.version}/spark-examples-${project.version}-hadoop${hadoop.version}.jar</outputFile>
<artifactSet>
<includes>
<include>*:*</include>
</includes>
</artifactSet>
<filters>
<filter>
<artifact>com.google.guava:guava</artifact>
<excludes>
<exclude>com/google/common/base/Optional*</exclude>
</excludes>
</filter>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<relocations>
<relocation>
<pattern>com.google</pattern>
<shadedPattern>org.spark-project.guava</shadedPattern>
<includes>
<include>com.google.common.**</include>
</includes>
<excludes>
<exclude>com.google.common.base.Optional**</exclude>
</excludes>
</relocation>
<relocation>
<pattern>org.apache.commons.math3</pattern>
<shadedPattern>org.spark-project.commons.math3</shadedPattern>
</relocation>
</relocations>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer" />
<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>reference.conf</resource>
</transformer>
<transformer implementation="org.apache.maven.plugins.shade.resource.DontIncludeResourceTransformer">
<resource>log4j.properties</resource>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<profiles>
<profile>
<id>kinesis-asl</id>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kinesis-asl_${scala.binary.version}</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>${commons.httpclient.version}</version>
</dependency>
</dependencies>
</profile>
<profile>
<id>hbase-hadoop2</id>
<activation>
<property>
<name>hbase.profile</name>
<value>hadoop2</value>
</property>
</activation>
<properties>
<hbase.version>0.98.7-hadoop2</hbase.version>
</properties>
</profile>
<profile>
<id>hbase-hadoop1</id>
<activation>
<property>
<name>!hbase.profile</name>
</property>
</activation>
<properties>
<hbase.version>0.98.7-hadoop1</hbase.version>
</properties>
</profile>
<profile>
<!-- We add a source directory specific to Scala 2.10 since Kafka and Algebird
only work with it -->
<id>scala-2.10</id>
<activation>
<property><name>!scala-2.11</name></property>
</activation>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_${scala.binary.version}</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>com.twitter</groupId>
<artifactId>algebird-core_${scala.binary.version}</artifactId>
<version>0.1.11</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<executions>
<execution>
<id>add-scala-sources</id>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>src/main/scala</source>
<source>scala-2.10/src/main/scala</source>
<source>scala-2.10/src/main/java</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
</profiles>
</project>
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