idea使用maven构建java和scala项目开发spark

Posted by 张耀文 on February 23, 2017

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
这里写图片描述