DataFrameLoader

abstract def convertFileToDataFrame(filePath: String)(implicit spark: SparkSession): DataFrame

Converts a given resource file to a DataFrame

abstract def loadDataFrames(jobTablesMetadata: Seq[JobTableMetadata], ioType: String)(implicit spark: SparkSession): List[Either[ReadDataFramesFromFilesError, (JobTableMetadata, DataFrame)]]

Loads DataFrames from Resource files for a given job

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

final def getFileNotFoundException(jobTableMetadata: JobTableMetadata): ResourcesDataFileNotFound

Builds the exception object for a file that is not found

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def readDfFromFile(jobTableMetadata: JobTableMetadata, ioType: String)(implicit spark: SparkSession): Either[ReadDataFramesFromFilesError, (JobTableMetadata, Option[DataFrame])]

Reads a json file into a DataFrame

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit