StructuredStreamingETLModel

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 generateStandardProcessingComponentName: String

def generateStandardWriterName: String

final def getClass(): Class[_]

val group: String

group of which the processing component is part

final def isInstanceOf[T0]: Boolean

val mlModels: List[MlModelOnlyInfo]

machine learning models to be used in the processing

val name: String

unique name of the processing component

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val options: Map[String, String]

has no effect at all

val staticInputs: List[ReaderModel]

list of inputs for static datasets

val strategy: Option[StrategyModel]

strategy model that defines the processing

val streamingInput: StreamingReaderModel

val streamingOutput: WriterModel

streaming output

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

val triggerIntervalMs: Option[Long]

trigger interval to use, in milliseconds

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit