case class DataLineageInstance(plugin: DataLineage, stageFilter: List[String], output: DataLineageOutput, runtimeMirror: Mirror) extends LifecyclePluginInstance with Product with Serializable
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Instance Constructors
- new DataLineageInstance(plugin: DataLineage, stageFilter: List[String], output: DataLineageOutput, runtimeMirror: Mirror)
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
after(result: Option[DataFrame], stage: PipelineStage, index: Int, stages: List[PipelineStage])(implicit spark: SparkSession, logger: Logger, arcContext: ARCContext): Option[DataFrame]
- Definition Classes
- DataLineageInstance → LifecyclePluginInstance
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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def
before(stage: PipelineStage, index: Int, stages: List[PipelineStage])(implicit spark: SparkSession, logger: Logger, arcContext: ARCContext): Unit
- Definition Classes
- LifecyclePluginInstance
- def classMembers(node: Any, runtimeMirror: Mirror, memoizedClassMembers: Map[String, List[String]]): Seq[(String, Any)]
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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- val includeMembers: Set[String]
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final
def
isInstanceOf[T0]: Boolean
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- def jsonFields(node: Any, runtimeMirror: Mirror, memoizedClassMembers: Map[String, List[String]] = ...): List[JField]
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
- Definition Classes
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- @native()
- val output: DataLineageOutput
-
val
plugin: DataLineage
- Definition Classes
- DataLineageInstance → LifecyclePluginInstance
-
def
runStage(stage: PipelineStage, index: Int, stages: List[PipelineStage])(implicit spark: SparkSession, logger: Logger, arcContext: ARCContext): Boolean
- Definition Classes
- LifecyclePluginInstance
- val runtimeMirror: Mirror
- val stageFilter: List[String]
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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