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pom.xml
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pom.xml
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<?xml version="1.0" encoding="UTF-8"?>
<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>
<groupId>com.chw.spark</groupId>
<artifactId>SparkMaven</artifactId>
<packaging>pom</packaging>
<version>1.0-SNAPSHOT</version>
<modules>
<module>uipro</module>
</modules>
<name>spark_maven_test</name>
<url>http://www.baidu.com</url>
<description>用来测试spark和maven的一个demo项目</description>
<issueManagement>
<system>jira</system>
<url>http://www.jira.com</url>
</issueManagement>
<inceptionYear>
2019
</inceptionYear>
<!-- 配置以下可以解决 在jdk1.8环境下打包时报错 “-source 1.5 中不支持 lambda 表达式” -->
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<scala.version>2.11</scala.version>
<hadoop.version>2.6.5</hadoop.version>
<spark.version>2.3.1</spark.version>
<hbase.version>1.2.6</hbase.version>
<zookeeper.version>3.4.6</zookeeper.version>
</properties>
<repositories>
<repository>
<id>alimaven</id>
<name>aliyun maven</name>
<url>http://maven.aliyun.com/nexus/content/groups/public/</url>
<releases>
<enabled>true</enabled>
</releases>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
</repositories>
<!--该元素描述了项目相关的所有依赖。 这些依赖组成了项目构建过程中的一个个环节。
它们自动从项目定义的仓库中下载。要获取更多信息，请看项目依赖机制。 -->
<dependencies>
<!--hadoop配置-->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-common</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-jobclient</artifactId>
<version>${hadoop.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-common</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-server-nodemanager</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-server-resourcemanager</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-shuffle</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>1.2.1</version>
</dependency>
<!--zookeeper配置-->
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>${zookeeper.version}</version>
<type>pom</type>
</dependency>
<!-- Spark-core -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.version}</artifactId>
<version>${spark.version}</version>
</dependency>
<!-- SparkSQL -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_${scala.version}</artifactId>
<version>${spark.version}</version>
</dependency>
<!-- SparkSQL ON Hive-->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_${scala.version}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency><!-- HBase 客户端依赖包 -->
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>${hbase.version}</version>
</dependency>
<dependency><!-- HBase 公共依赖包 -->
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-common</artifactId>
<version>${hbase.version}</version>
</dependency>
<dependency><!-- HBase 服务端依赖包 -->
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>${hbase.version}</version>
</dependency>
<!--数据库操作工具类-->
<dependency>
<groupId>commons-dbutils</groupId>
<artifactId>commons-dbutils</artifactId>
<version>1.7</version>
</dependency>
<!--mysql依赖的jar包-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.47</version>
</dependency>
<dependency><!-- MySQL 连接池依赖包 -->
<groupId>c3p0</groupId>
<artifactId>c3p0</artifactId>
<version>0.9.1.2</version>
</dependency>
<!--SparkStreaming-->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_${scala.version}</artifactId>
<version>${spark.version}</version>
<!--依赖范围。在项目发布过程中，帮助决定哪些构件被包括进来。欲知详情请参考依赖机制。
- compile ：默认范围，用于编译
- provided：类似于编译，但支持你期待jdk或者容器提供，类似于classpath
- runtime: 在执行时需要使用
- test: 用于test任务时使用
- system: 需要外在提供相应的元素。通过systemPath来取得
- systemPath: 仅用于范围为system。提供相应的路径
- optional: 当项目自身被依赖时，标注依赖是否传递。用于连续依赖时使用 -->
<!--<scope>provided</scope>-->
<!--当计算传递依赖时， 从依赖构件列表里，列出被排除的依赖构件集。
即告诉maven你只依赖指定的项目，不依赖项目的依赖。此元素主要用于解决版本冲突问题 -->
<!-- <exclusions></exclusions>-->
</dependency>
<!-- SparkStreaming + Kafka -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka-0-10_${scala.version}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql-kafka-0-10_${scala.version}</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<!-- 向kafka 生产数据需要包 -->
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>1.0.0</version>
</dependency>
<!--spark+flume的依赖包-->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-flume_${scala.version}</artifactId>
<version>${spark.version}</version>
</dependency>
<!--连接 Redis 需要的包-->
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>2.9.0</version>
</dependency>
<!-- Scala 包-->
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>2.11.8</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-compiler</artifactId>
<version>2.11.8</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-reflect</artifactId>
<version>2.11.8</version>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.12</version>
</dependency>
<dependency>
<groupId>com.google.collections</groupId>
<artifactId>google-collections</artifactId>
<version>1.0</version>
</dependency>
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.6</version>
</dependency>
<!-- JSON 依赖包 -->
<dependency>
<groupId>io.spray</groupId>
<artifactId>spray-json_${scala.version}</artifactId>
<version>1.3.4</version>
</dependency>
<!-- Http依赖包-->
<dependency>
<groupId>org.scalaj</groupId>
<artifactId>scalaj-http_${scala.version}</artifactId>
<version>2.3.0</version>
</dependency>
<!-- Time Parse 时间解析依赖包 -->
<dependency>
<groupId>joda-time</groupId>
<artifactId>joda-time</artifactId>
<version>2.9.4</version>
</dependency>
<dependency><!-- segment 结巴分词器 -->
<groupId>com.huaban</groupId>
<artifactId>jieba-analysis</artifactId>
<version>1.0.2</version>
</dependency>
<dependency><!-- Html parse -->
<groupId>net.ruippeixotog</groupId>
<artifactId>scala-scraper_${scala.version}</artifactId>
<version>2.1.0</version>
</dependency>
<dependency><!-- Xpath -->
<groupId>com.nrinaudo</groupId>
<artifactId>kantan.xpath-nekohtml_${scala.version}</artifactId>
<version>0.5.0</version>
</dependency>
<!-- Json -->
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.5</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<resources>
<resource>
<directory>src/main/resources</directory>
<includes>
<include>*.xml</include>
<include>*.properties</include>
<include>*.txt</include>
</includes>
</resource>
</resources>
<!--文档插件-->
<pluginManagement>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-site-plugin</artifactId>
<version>3.8.2</version>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-project-info-reports-plugin</artifactId>
<version>3.0.0</version>
</plugin>
</plugins>
</pluginManagement>
<!--使用的插件列表 -->
<plugins>
<!-- 在maven项目中既有java又有scala代码时配置 maven-scala-plugin 插件打包时可以将两类代码一起打包 -->
<plugin>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<version>2.15.2</version>
<!--是否从该插件下载Maven扩展（例如打包和类型处理器），由于性能原因，只有在真需要下载时，该元素才被设置成enabled。 -->
<executions>
<execution>
<id>compile</id>
<phase>compile</phase>
<!--配置的执行目标,没有绑定任何构建阶段的目标可以在构建生命周期之外被直接调用执行。-->
<goals>
<goal>compile</goal>
</goals>
</execution>
<execution>
<id>test-compile</id>
<phase>test-compile</phase>
<goals>
<goal>testCompile</goal>
</goals>
</execution>
<execution>
<phase>process-resources</phase>
<goals>
<goal>compile</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.8</source><!-- 设置Java源 -->
<target>1.8</target>
</configuration>
</plugin>
<!-- maven 打jar包需要插件 -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.1.1</version>
<!--作为DOM对象的配置 -->
<configuration>
<!-- 设置false后是去掉 MySpark-1.0-SNAPSHOT-jar-with-dependencies.jar 后的 “-jar-with-dependencies” -->
<!--<appendAssemblyId>false</appendAssemblyId>-->
<descriptorRefs>
<!--jar包的后缀名-->
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<!-- <archive>-->
<!-- <manifest>-->
<!-- <mainClass>com.chw.scala.spark.SparkWC-->
<!-- </mainClass>-->
<!-- </manifest>-->
<!-- </archive>-->
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<!-- 以上assembly可以将依赖的包打入到一个jar包中，下面这种方式是使用maven原生的方式打jar包，不将依赖的包打入到最终的jar包中-->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-jar-plugin</artifactId>
<version>3.1.2</version>
<configuration>
<!--参考 https://maven.apache.org/shared/maven-archiver/index.html-->
<archive>
<manifest>
<!-- 添加类路径 -->
<addClasspath>true</addClasspath>
<!-- 指定当前主类运行时找依赖的jar包时 所有依赖的jar包存放路径的前缀 -->
<!--<classpathPrefix>/alljars/lib</classpathPrefix>-->
<!-- 设置程序的入口类 -->
<mainClass>com.chw.scala.spark.RDDOperation</mainClass>
</manifest>
</archive>
</configuration>
</plugin>
<!-- 拷贝依赖的jar包到lib目录 -->
<!-- <plugin>-->
<!-- <groupId>org.apache.maven.plugins</groupId>-->
<!-- <artifactId>maven-dependency-plugin</artifactId>-->
<!-- <version>3.1.1</version>-->
<!-- <executions>-->
<!-- <execution>-->
<!-- <id>copy</id>-->
<!-- <phase>package</phase>-->
<!-- <goals>-->
<!-- <goal>copy-dependencies</goal>-->
<!-- </goals>-->
<!-- <configuration>-->
<!-- <outputDirectory>-->
<!-- <!– 将依赖的jar 包复制到target/lib下–>-->
<!-- ${project.build.directory}/lib-->
<!-- </outputDirectory>-->
<!-- </configuration>-->
<!-- </execution>-->
<!-- </executions>-->
<!-- </plugin>-->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-antrun-plugin</artifactId>
<version>1.8</version>
<executions>
<execution>
<id>id.clean</id>
<phase>clean</phase>
<goals>
<goal>run</goal>
</goals>
<configuration>
<target>
<echo>clean phase</echo>
</target>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<artifactId>maven-invoker-plugin</artifactId>
<version>3.2.0</version>
<configuration>
<debug>true</debug>
<pomIncludes>
<pomInclude>uipro/pom.xml</pomInclude>
<!--<pomInclude>*/pom.xml</pomInclude>-->
</pomIncludes>
</configuration>
<executions>
<execution>
<id>build</id>
<goals>
<goal>run</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
<!-- mvn test -Ptest-->
<!-- mvn test -Denv=test-->
<profiles>
<profile>
<id>test</id>
<!-- 当系统属性 “env” 被设置为 “test” 时，test 配置将会被触发。
创建一个环境变量 “env” 并设置它的值为 “test”。-->
<activation>
<property>
<name>env</name>
<value>test</value>
</property>
</activation>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-antrun-plugin</artifactId>
<version>1.8</version>
<executions>
<execution>
<phase>test</phase>
<goals>
<goal>run</goal>
</goals>
<configuration>
<target>
<echo>Using env.test.properties</echo>
<copy file="src/main/resources/env.test.properties"
tofile="${project.build.outputDirectory}/env.properties"
overwrite="true" />
</target>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>normal</id>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-antrun-plugin</artifactId>
<version>1.8</version>
<executions>
<execution>
<phase>test</phase>
<goals>
<goal>run</goal>
</goals>
<configuration>
<target>
<echo>Using env.properties</echo>
<copy file="src/main/resources/env.properties"
tofile="${project.build.outputDirectory}/env.properties"
overwrite="true" />
</target>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
<profile>
<id>prod</id>
<!--当 target/generated-sources/file 缺失时，test Profile 将会被触发。-->
<activation>
<file>
<missing>target/generated-sources/file
</missing>
</file>
</activation>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-antrun-plugin</artifactId>
<version>1.8</version>
<executions>
<execution>
<phase>test</phase>
<goals>
<goal>run</goal>
</goals>
<configuration>
<target>
<echo>Using env.prod.properties</echo>
<copy file="src/main/resources/env.prod.properties"
tofile="${project.build.outputDirectory}/env.properties"
overwrite="true" />
</target>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</profile>
</profiles>
</project>