I am trying to compile this simple code in scala to run it in spark:
import org.apache.spark.sql.SparkSession
object Main {
def main(args: Array[String]) {
if (args.length < 1) {
System.err.println("Usage: HDFStEST <file>")
System.exit(1)
}
val spark = SparkSession.builder.appName("TesteHelena").getOrCreate()
println("hellooo")
spark.stop() }
}
I don't know how to make scalac find the dependency org.apache.spark.sql.SparkSession I try to set where are the jars files with the following command:
scalac main.scala -cp C:\Spark\spark-2.4.0-bin-hadoop2.7\jars -d main.jar
which returns me the error:
main.scala:1: error: object apache is not a member of package org
import org.apache.spark.sql.SparkSession
and if I just send every jar file with the command:
scalac main.scala -cp C:\Spark\spark-2.4.0-bin-hadoop2.7\jars\* org.apache.spark.sql.SparkSession -d main.jar
it returns me the error:
error: IO error while decoding C:\Spark\spark-2.4.0-bin-hadoop2.7\jars\aircompressor-0.10.jar with UTF-8
for every jar file.
The command:
scalac main.scala -cp org.apache.spark.sql.SparkSession -d main.jar
returns me:
main.scala:1: error: object apache is not a member of package org
import org.apache.spark.sql.SparkSession
So, is there a way to use the Spark dependency in scalac to compile a program? I cannot use any dependency builder, like sbt and gradle, because I don't have access to internet in my terminal, due to security issues of my job, and they call those dependencies in their repository.
