我正在用scala创建spark应用程序，它是maven项目。如果可能，也许有人可以共享pom文件。我的应用程序只有sparksql。
我是否需要将hadoop\u home设置为包含winutils.exe的目录，因为我没有在代码的配置部分添加。
我的pom文件看起来like:-

<?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>net.martinprobson.spark</groupId>
    <artifactId>spark_example</artifactId>
    <version>1.0-SNAPSHOT</version>
    <name>${project.artifactId}</name>
    <description>Spark Batch And Streaming Application</description>
    <inceptionYear>2019</inceptionYear>

    <properties>
        <scala.version>2.11</scala.version>
        <scala.full.version>2.11.8</scala.full.version>
        <spark.version>2.4.4</spark.version>
        <java.version>1.8</java.version>
        <jackson.version>2.6.5</jackson.version>
        <scala.maven.plugin.version>3.2.2</scala.maven.plugin.version>
        <maven.surefire.plugin.version>2.13</maven.surefire.plugin.version>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
    </properties>

    <dependencies>
        <!--Scala dependencies-->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.full.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.httpcomponents</groupId>
            <artifactId>httpclient</artifactId>
            <version>4.5.2</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>2.4.4</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_${scala.version}</artifactId>
            <version>2.4.4</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-hive -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_${scala.version}</artifactId>
            <version>2.4.4</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-yarn -->

        <dependency>
            <groupId>com.typesafe</groupId>
            <artifactId>config</artifactId>
            <version>1.3.0</version>
        </dependency>
    </dependencies>
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-deploy-plugin</artifactId>
                <version>2.7</version>
            </plugin>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.1.6</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
                <configuration>
                    <scalaVersion>${scala.version}</scalaVersion>
                </configuration>
            </plugin>
            <!-- disable surefire -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-surefire-plugin</artifactId>
                <version>2.12.4</version>
                <configuration>
                    <skipTests>true</skipTests>
                </configuration>
            </plugin>
            <!-- enable scala test -->
            <plugin>
                <groupId>org.scalatest</groupId>
                <artifactId>scalatest_2.10</artifactId>
                <version>2.2.6</version>

                <configuration>
                    <reportsDirectory>${project.build.directory}/surefire-reports</reportsDirectory>
                    <junitxml>.</junitxml>
                    <filereports>TestSuite.txt</filereports>
                </configuration>
                <executions>
                    <execution>
                        <id>test</id>
                        <goals>
                            <goal>test</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.1</version>
                <executions>
                    <execution>
                        <id>jar-with-dependencies</id>
                        <phase>package</phase>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                        <configuration>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>

我的scala代码看起来像

package Batch

import org.apache.spark.sql.{DataFrame, SaveMode, SparkSession}
import org.apache.spark.sql.functions._
Object BatchJob {
  def main(args: Array[String]) {
    val spark = SparkSession.builder
      .master("local")
      .appName("Fraud Detector")
      .config("spark.driver.memory", "2g")
      .enableHiveSupport
      .getOrCreate()

    import spark.implicits._
    val financesDF = spark.read.json("Data/finances-small.json")

  }
}

但得到的错误是

**无法解析符号apache

无法解析符号保存模式
无法解析符号sparksession**
pom有问题吗。。。。。。。。非常感谢您的建议。
谨致问候