aff49a3ee1
In addition to the `hadoop-2.x` profiles in the parent POM, there is actually another set of profiles in `examples` that has to be activated differently to get the right Hadoop 1 vs 2 flavor of HBase. This wasn't actually used in making Hadoop 2 distributions, hence the problem. To reduce complexity, I suggest merging them with the parent POM profiles, which is possible now. You'll see this changes appears to update the HBase version, but actually, the default 0.94 version was not being used. HBase is only used in examples, and the examples POM always chose one profile or the other that updated the version to 0.98.x anyway. Author: Sean Owen <sowen@cloudera.com> Closes #3992 from srowen/SPARK-5172 and squashes the following commits: 17830d9 [Sean Owen] Control hbase hadoop1/2 flavor in the parent POM with existing hadoop-2.x profiles
468 lines
16 KiB
XML
468 lines
16 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!--
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~ Licensed to the Apache Software Foundation (ASF) under one or more
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~ contributor license agreements. See the NOTICE file distributed with
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~ this work for additional information regarding copyright ownership.
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~ The ASF licenses this file to You under the Apache License, Version 2.0
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~ (the "License"); you may not use this file except in compliance with
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~ the License. You may obtain a copy of the License at
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~
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~ http://www.apache.org/licenses/LICENSE-2.0
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~
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~ Unless required by applicable law or agreed to in writing, software
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~ distributed under the License is distributed on an "AS IS" BASIS,
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~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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~ See the License for the specific language governing permissions and
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~ limitations under the License.
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-->
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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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<parent>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-parent</artifactId>
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<version>1.3.0-SNAPSHOT</version>
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<relativePath>../pom.xml</relativePath>
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</parent>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-examples_2.10</artifactId>
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<properties>
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<sbt.project.name>examples</sbt.project.name>
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</properties>
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<packaging>jar</packaging>
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<name>Spark Project Examples</name>
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<url>http://spark.apache.org/</url>
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<dependencies>
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<!-- Promote Guava to compile scope in this module so it's included while shading. -->
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<dependency>
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<groupId>com.google.guava</groupId>
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<artifactId>guava</artifactId>
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<scope>compile</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-core_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-mllib_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-bagel_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-hive_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-graphx_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming-twitter_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming-flume_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming-mqtt_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming-zeromq_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-testing-util</artifactId>
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<version>${hbase.version}</version>
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<scope>${hbase.deps.scope}</scope>
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<exclusions>
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<exclusion>
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<!-- SPARK-4455 -->
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-annotations</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.jruby</groupId>
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<artifactId>jruby-complete</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-protocol</artifactId>
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<version>${hbase.version}</version>
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<scope>${hbase.deps.scope}</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-common</artifactId>
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<version>${hbase.version}</version>
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<scope>${hbase.deps.scope}</scope>
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<exclusions>
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<exclusion>
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<!-- SPARK-4455 -->
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-annotations</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-client</artifactId>
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<version>${hbase.version}</version>
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<scope>${hbase.deps.scope}</scope>
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<exclusions>
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<exclusion>
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<!-- SPARK-4455 -->
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-annotations</artifactId>
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</exclusion>
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<exclusion>
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<groupId>io.netty</groupId>
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<artifactId>netty</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-server</artifactId>
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<version>${hbase.version}</version>
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<scope>${hbase.deps.scope}</scope>
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<exclusions>
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<exclusion>
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<!-- SPARK-4455 -->
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-annotations</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-core</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-client</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-mapreduce-client-jobclient</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-mapreduce-client-core</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-auth</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-annotations</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-hdfs</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-hadoop1-compat</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.commons</groupId>
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<artifactId>commons-math</artifactId>
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</exclusion>
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<exclusion>
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<groupId>com.sun.jersey</groupId>
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<artifactId>jersey-core</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-api</artifactId>
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</exclusion>
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<exclusion>
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<groupId>com.sun.jersey</groupId>
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<artifactId>jersey-server</artifactId>
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</exclusion>
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<exclusion>
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<groupId>com.sun.jersey</groupId>
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<artifactId>jersey-core</artifactId>
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</exclusion>
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<exclusion>
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<groupId>com.sun.jersey</groupId>
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<artifactId>jersey-json</artifactId>
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</exclusion>
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<exclusion>
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<!-- hbase uses v2.4, which is better, but ...-->
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<groupId>commons-io</groupId>
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<artifactId>commons-io</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-hadoop-compat</artifactId>
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<version>${hbase.version}</version>
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<scope>${hbase.deps.scope}</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.hbase</groupId>
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<artifactId>hbase-hadoop-compat</artifactId>
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<version>${hbase.version}</version>
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<type>test-jar</type>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.commons</groupId>
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<artifactId>commons-math3</artifactId>
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</dependency>
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<dependency>
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<groupId>com.twitter</groupId>
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<artifactId>algebird-core_${scala.binary.version}</artifactId>
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<version>0.8.1</version>
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</dependency>
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<dependency>
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<groupId>org.scalacheck</groupId>
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<artifactId>scalacheck_${scala.binary.version}</artifactId>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.cassandra</groupId>
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<artifactId>cassandra-all</artifactId>
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<version>1.2.6</version>
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<exclusions>
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<exclusion>
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<groupId>com.google.guava</groupId>
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<artifactId>guava</artifactId>
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</exclusion>
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<exclusion>
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<groupId>com.googlecode.concurrentlinkedhashmap</groupId>
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<artifactId>concurrentlinkedhashmap-lru</artifactId>
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</exclusion>
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<exclusion>
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<groupId>com.ning</groupId>
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<artifactId>compress-lzf</artifactId>
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</exclusion>
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<exclusion>
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<groupId>io.netty</groupId>
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<artifactId>netty</artifactId>
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</exclusion>
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<exclusion>
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<groupId>jline</groupId>
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<artifactId>jline</artifactId>
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</exclusion>
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<exclusion>
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<groupId>org.apache.cassandra.deps</groupId>
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<artifactId>avro</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>com.github.scopt</groupId>
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<artifactId>scopt_${scala.binary.version}</artifactId>
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<version>3.2.0</version>
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</dependency>
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</dependencies>
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<build>
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<outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
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<testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
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<plugins>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-deploy-plugin</artifactId>
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<configuration>
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<skip>true</skip>
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</configuration>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-install-plugin</artifactId>
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<configuration>
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<skip>true</skip>
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</configuration>
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</plugin>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-shade-plugin</artifactId>
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<executions>
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<execution>
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<phase>package</phase>
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<goals>
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<goal>shade</goal>
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</goals>
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<configuration>
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<shadedArtifactAttached>false</shadedArtifactAttached>
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<outputFile>${project.build.directory}/scala-${scala.binary.version}/spark-examples-${project.version}-hadoop${hadoop.version}.jar</outputFile>
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<artifactSet>
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<includes>
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<include>*:*</include>
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</includes>
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</artifactSet>
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<filters>
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<filter>
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<artifact>com.google.guava:guava</artifact>
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<excludes>
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<!--
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Exclude all Guava classes so they're picked up from the main assembly. The
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dependency still needs to be compile-scoped so that the relocation below
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works.
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-->
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<exclude>**</exclude>
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</excludes>
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</filter>
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<filter>
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<artifact>*:*</artifact>
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<excludes>
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<exclude>META-INF/*.SF</exclude>
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<exclude>META-INF/*.DSA</exclude>
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<exclude>META-INF/*.RSA</exclude>
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</excludes>
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</filter>
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</filters>
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<relocations>
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<relocation>
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<pattern>com.google</pattern>
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<shadedPattern>org.spark-project.guava</shadedPattern>
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<includes>
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<include>com.google.common.**</include>
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</includes>
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<excludes>
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<exclude>com.google.common.base.Optional**</exclude>
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</excludes>
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</relocation>
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<relocation>
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<pattern>org.apache.commons.math3</pattern>
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<shadedPattern>org.spark-project.commons.math3</shadedPattern>
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</relocation>
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</relocations>
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<transformers>
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<transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer" />
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<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
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<resource>reference.conf</resource>
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</transformer>
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<transformer implementation="org.apache.maven.plugins.shade.resource.DontIncludeResourceTransformer">
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<resource>log4j.properties</resource>
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</transformer>
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</transformers>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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<profiles>
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<profile>
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<id>kinesis-asl</id>
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<dependencies>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming-kinesis-asl_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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<dependency>
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<groupId>org.apache.httpcomponents</groupId>
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<artifactId>httpclient</artifactId>
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<version>${commons.httpclient.version}</version>
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</dependency>
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</dependencies>
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</profile>
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<profile>
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<!-- We add a source directory specific to Scala 2.10 since Kafka
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only works with it -->
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<id>scala-2.10</id>
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<activation>
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<property><name>!scala-2.11</name></property>
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</activation>
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<dependencies>
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<dependency>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-streaming-kafka_${scala.binary.version}</artifactId>
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<version>${project.version}</version>
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</dependency>
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</dependencies>
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<build>
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<plugins>
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<plugin>
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<groupId>org.codehaus.mojo</groupId>
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<artifactId>build-helper-maven-plugin</artifactId>
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<executions>
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<execution>
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<id>add-scala-sources</id>
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<phase>generate-sources</phase>
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<goals>
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<goal>add-source</goal>
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</goals>
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<configuration>
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<sources>
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<source>src/main/scala</source>
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<source>scala-2.10/src/main/scala</source>
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<source>scala-2.10/src/main/java</source>
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</sources>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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</profile>
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<!-- Profiles that disable inclusion of certain dependencies. -->
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<profile>
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<id>flume-provided</id>
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<properties>
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<flume.deps.scope>provided</flume.deps.scope>
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</properties>
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</profile>
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<profile>
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<id>hadoop-provided</id>
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<properties>
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<hadoop.deps.scope>provided</hadoop.deps.scope>
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</properties>
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</profile>
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<profile>
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<id>hbase-provided</id>
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<properties>
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<hbase.deps.scope>provided</hbase.deps.scope>
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</properties>
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</profile>
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<profile>
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<id>hive-provided</id>
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<properties>
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<hive.deps.scope>provided</hive.deps.scope>
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</properties>
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</profile>
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<profile>
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<id>parquet-provided</id>
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<properties>
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<parquet.deps.scope>provided</parquet.deps.scope>
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</properties>
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</profile>
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</profiles>
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</project>
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