用IDEA开发Spark程序（Scala）（三）—— 新建项目

新建项目

添加依赖

编辑hello-spark/pom.xml，添加：

	<properties>
        <spark.version>2.3.4</spark.version>
        <scala.version>2.11</scala.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <!-- 暂时不需要
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-mllib_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        -->
    </dependencies>

可以在maven库搜索查看依赖版本

点击悬浮按钮或者maven工具栏的刷新按钮，下载依赖

编写代码

编辑hello-spark/src/main/scala/HelloSpark.scala

import org.apache.spark.sql.SparkSession


object HelloSpark {

  def main(args: Array[String]): Unit = {
    val spark = SparkSession.builder().master("local").getOrCreate()
    val tup = (1 to 10).map(x => (x , x * 2))
    val df = spark.createDataFrame(tup)
    df.show()
  }
}

运行程序

右键 run 'HelloSpark'。运行结果：

打包

打完的jar包会在hello-spark/target目录下

测试：

spark-submit --class HelloSpark hello-spark-1.0-SNAPSHOT.jar