一 工具版本
1 Intellij Idea 15.0.2
2 jdk:1.8.0_40
3 maven:4.0.0
4 spark:2.1.0
5 scala:2.11.8
6 hadoop:2.7.3
二 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>testSpark</groupId>
<artifactId>testSpark</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<scala.version>2.11.8</scala.version>
<scala.maven.version>2.11.8</scala.maven.version>
<spark.version>2.1.0</spark.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-flume_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka_2.11</artifactId>
<version>1.6.3</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.7.3</version>
<scope>provided</scope>
</dependency>
<dependency><!--hadoopclient2.7需要的包-->
<groupId>commons-io</groupId>
<artifactId>commons-io</artifactId>
<version>2.5</version>
<scope>provided</scope>
</dependency>
<dependency><!--scala样例引用的包-->
<groupId>com.github.scopt</groupId>
<artifactId>scopt_2.11</artifactId>
<version>3.5.0</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.scalatest</groupId>
<artifactId>scalatest_2.11</artifactId>
<version>3.0.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-compiler</artifactId>
<version>${scala.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-reflect</artifactId>
<version>${scala.version}</version>
<scope>provided</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
<!--<plugin>-->
<!--<groupId>net.alchim31.maven</groupId>-->
<!--<artifactId>scala-maven-plugin</artifactId>-->
<!--<version>3.2.0</version>-->
<!--<executions>-->
<!--<execution>-->
<!--<id>compile-scala</id>-->
<!--<phase>compile</phase>-->
<!--<goals>-->
<!--<goal>add-source</goal>-->
<!--<goal>compile</goal>-->
<!--</goals>-->
<!--</execution>-->
<!--<execution>-->
<!--<id>test-compile-scala</id>-->
<!--<phase>test-compile</phase>-->
<!--<goals>-->
<!--<goal>add-source</goal>-->
<!--<goal>testCompile</goal>-->
<!--</goals>-->
<!--</execution>-->
<!--</executions>-->
<!--<configuration>-->
<!--<scalaVersion>${scala.version}</scalaVersion>-->
<!--</configuration>-->
<!--</plugin>-->
</plugins>
</build>
</project>
三 注意事项
1 源文件根目录设置为source root
2 jar包依赖为provided,spark包在集群上已存在,容易产生冲突
3 provided:编译和测试,因此需要建立测试文件运行
4 测试运行指定spark的url:vm参数添加:-Dspark.master=local