I'm using Spark SQL dependency just as a data structure already importing it but without passing the SPark context to the Scala's main method. Why I'm getting this exception?
Caused by: java.lang.NoClassDefFoundError: org/apache/spark/sql/types/StructType
the code:
package io.sekai.industry.streaming
import org.apache.spark.sql.types
import org.apache.spark.sql.types.{LongType, StringType, StructField, StructType}
class NonSparkSensorsGeneration {
val schema = StructType(
StructField("id", LongType, nullable = false) :: //always skip this if using the operator
StructField("Energy Data", StringType, nullable = false, metadata = new types.MetadataBuilder().putString("mqtt", "ESP_02/Energy Data").putString("label", "EnergyData").build()) ::
Nil)
def readFromCSVFile(shortPath: String): Unit= {
println("Preparing to load the csv file from jar resource " + shortPath)
val input = getClass.getResourceAsStream(shortPath)
println("Loaded file from resource " + shortPath)
println("Input stream from resource " + shortPath + " details: " + input.toString)
val source = scala.io.Source.fromInputStream(input)
val data = source.getLines.map(_.split("\t")).toArray
source.close
println(data.getClass)
}
def main(args: Array[String]): Unit = {
readFromCSVFile("generation")
}
}
You probably forgot to enable the Add dependencies with "provided" scope to classpath
flag in your IDE (the flag I mentioned is from IntelliJ IDEA)
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