cannot resolve symbol apache in spark scala maven - scala

Question

I am creating Spark application with scala, and it is Maven Project.
If Possible may Someone can share POM file. My application is only having SPARKSQL.
Do i need to set HADOOP_HOME to the directory containing winutils.exe
as i have not added in the config part of the code.
My POM file looks 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>
My Scala code looks like
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")
}
}
But getting Error as
**Cannot Resolve Symbol Apache
cannot Resolve Symbol Savemode
cannot Resolve Symbol SparkSession**
Is any problem with POM........ Highly Appreciate suggestion.
Kind Regards

Answer 1

you can simply replace your build tag with below. It worked for me.
<build>
<sourceDirectory>src/main/scala</sourceDirectory>
<testSourceDirectory>src/test/scala</testSourceDirectory>
<plugins>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.3.2</version>
<executions>
<execution>
<id>scala-compile-first</id>
<phase>process-resources</phase>
<goals>
<goal>add-source</goal>
<goal>compile</goal>
</goals>
</execution>
<execution>
<id>scala-test-compile</id>
<phase>process-test-resources</phase>
<goals>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
<executions>
<execution>
<phase>compile</phase>
<goals>
<goal>compile</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>