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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>cn</groupId>
<artifactId>hz_DMP</artifactId>
<version>1.0-SNAPSHOT</version>
<name>mvnProject</name>
<!-- FIXME change it to the project's website -->
<url>http://www.example.com</url>
<!-- 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>2.11.8</scala.version>
<spark.version>2.2.0</spark.version>
<hadoop.version>2.8.1</hadoop.version>
<kafka.version>0.10.2.0</kafka.version>
</properties>
<dependencies>
<!-- Spark-core -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<!-- SparkSQL -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<!-- SparkSQL ON Hive-->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<!--mysql依赖的jar包-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.47</version>
</dependency>
<!--SparkStreaming-->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>${spark.version}</version>
<!--<scope>provided</scope>-->
</dependency>
<!-- SparkStreaming + Kafka -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<!-- 向kafka 生产数据需要包 -->
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>${kafka.version}</version>
</dependency>
<!--连接 Redis 需要的包-->
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>2.9.0</version>
</dependency>
<!--链接hbase服务-->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-server</artifactId>
<version>1.2.1</version>
</dependency>
<!--链接hbase客户端-->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>1.2.1</version>
</dependency>
<!-- Scala 包-->
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-compiler</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-reflect</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.12</version>
</dependency>
<dependency>
<groupId>com.google.collections</groupId>
<artifactId>google-collections</artifactId>
<version>1.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/junit/junit -->
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
<scope>test</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-mllib-local -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib-local_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.11</artifactId>
<version>${kafka.version}</version>
</dependency>
<!--fastjsonbao-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.53</version>
</dependency>
<!--加载配置文件-->
<dependency>
<groupId>com.typesafe</groupId>
<artifactId>config</artifactId>
<version>1.3.1</version>
</dependency>
</dependencies>
<build>
<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>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
</plugin>
<!-- maven 打jar包需要插件 -->
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<version>2.4</version>
<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>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<archive>
<manifest>
<mainClass>com.bjsxt.scalaspark.sql.windows.OverFunctionOnHive</mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>assembly</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
<!--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>2.4</version>-->
<!--<configuration>-->
<!--<archive>-->
<!--<manifest>-->
<!--<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>-->
<!--<mainClass>com.bjsxt.javaspark.sql.CreateDataSetFromHive</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>-->
<!--<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>-->
</project>