如何在IDEA运行spark程序(搭建Spark开发环境)

<localRepository>D:\\Develop\\maven\\Localwarehouse</localRepository>

   <profile>
    <id>jdk-1.8.0</id>
    <activation>
    <activeByDefault>true</activeByDefault>
    <jdk>1.8.0</jdk>
    </activation>
    <properties>
    <maven.compiler.source>1.8.0</maven.compiler.source>
    <maven.compiler.target>1.8.0</maven.compiler.target>
    <maven.compiler.compilerVersion>1.8.0</maven.compiler.compilerVersion>
    </properties>
    </profile>

<properties>
        <!-- 声明scala的版本 -->
        <scala.version>2.12.15</scala.version>
        <!-- 声明linux集群搭建的spark版本，如果没有搭建则不用写 -->
        <spark.version>3.2.1</spark.version>
        <!-- 声明linux集群搭建的Hadoop版本 ，如果没有搭建则不用写-->
        <hadoop.version>3.1.4</hadoop.version>
    </properties>
    <dependencies>
        <!--scala-->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.12</artifactId>
            <version>3.2.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.12</artifactId>
            <version>3.2.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.12</artifactId>
            <version>3.2.1</version>
            <scope>provided</scope>
        </dependency>
    </dependencies>

import org.apache.spark.sql.SparkSession
object WordCount {
  def main(args: Array[String]): Unit = {
    val spark = SparkSession
      .builder()
      .master("local[*]")
      .appName("word count")
      .getOrCreate()
    val sc = spark.sparkContext
    val rdd = sc.textFile("data/input/words.txt")
    val counts = rdd.flatMap(_.split(" ")).map((_,1)).reduceByKey(_+_)
    counts.collect().foreach(println)
    println("全部的单词数："+counts.count())
    counts.saveAsTextFile("data/output/word-count")
  }
}

hello me you her
hello me you
hello me
hello