如何用Maven創(chuàng)建多個(gè)項(xiàng)目

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創(chuàng)建Maven項(xiàng)目

• new Project 空項(xiàng)目

• new Module 建立多個(gè)模塊

主pom文件

<modules>
        <module>bigdata-spark-core</module>
        <module>bigdata-spark-sql</module>
        <module>bigdata-spark-sparkstreaming</module>
        <module>bigdata-spark-spark-kafka</module>
        <module>bigdata-spark-utils</module>
    </modules>

    <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.tools.version>2.11</scala.tools.version>
        <spark.version>2.4.5</spark.version>
        <hadoop.version>2.6.0</hadoop.version>
    </properties>




    <repositories>
        <!-- 阿里云倉(cāng)庫(kù)-->
        <repository>
            <id>nexus-aliyun</id>
            <name>Nexus aliyun</name>
            <url>http://maven.aliyun.com/nexus/content/groups/public</url>
        </repository>
    </repositories>

    <!-- 為了父子目錄不重復(fù)，添加dependencyManagement -->
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>junit</groupId>
                <artifactId>junit</artifactId>
                <version>4.11</version>
                <scope>test</scope>
            </dependency>

            <!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-client -->
            <dependency>
                <groupId>org.apache.hadoop</groupId>
                <artifactId>hadoop-client</artifactId>
                <version>${hadoop.version}</version>
            </dependency>

            <!-- https://mvnrepository.com/artifact/org.apache.hive/hive-exec -->
            <dependency>
                <groupId>org.apache.hive</groupId>
                <artifactId>hive-exec</artifactId>
                <version>1.2.1</version>
            </dependency>


            <!-- https://mvnrepository.com/artifact/mysql/mysql-connector-java -->
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
                <version>5.1.38</version>
            </dependency>


            <!-- https://mvnrepository.com/artifact/org.apache.flume/flume-ng-core -->
            <dependency>
                <groupId>org.apache.flume.flume-ng-clients</groupId>
                <artifactId>flume-ng-log4jappender</artifactId>
                <version>1.6.0</version>
            </dependency>

            <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-core_${scala.tools.version}</artifactId>
                <version>${spark.version}</version>
            </dependency>
        </dependencies>
    </dependencyManagement>

分模塊

<parent>
    <artifactId>com.hufei.spark</artifactId>
    <groupId>bigdata-spark</groupId>
    <version>1.0</version>
    <relativePath>../pom.xml</relativePath>
</parent>
<modelVersion>4.0.0</modelVersion>
<packaging>jar</packaging>
<artifactId>bigdata-spark-core</artifactId>

<dependencies>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_${scala.tools.version}</artifactId>
    </dependency>
</dependencies>

添加scala支持

• 項(xiàng)目右鍵，add frameword surpport

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