c
it.agilelab.bigdata.wasp.models
StructuredStreamingETLModel
Companion object StructuredStreamingETLModel
case class StructuredStreamingETLModel(name: String, group: String = "default", streamingInput: StreamingReaderModel, staticInputs: List[ReaderModel], streamingOutput: WriterModel, mlModels: List[MlModelOnlyInfo], strategy: Option[StrategyModel], triggerIntervalMs: Option[Long], options: Map[String, String] = Map.empty) extends ProcessingComponentModel with Product with Serializable
A streaming processing component that leverages Spark's Structured Streaming API.
- name
unique name of the processing component
- group
group of which the processing component is part
- staticInputs
list of inputs for static datasets
- streamingOutput
streaming output
- mlModels
machine learning models to be used in the processing
- strategy
strategy model that defines the processing
- triggerIntervalMs
trigger interval to use, in milliseconds
- options
has no effect at all
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new
StructuredStreamingETLModel(name: String, group: String = "default", streamingInput: StreamingReaderModel, staticInputs: List[ReaderModel], streamingOutput: WriterModel, mlModels: List[MlModelOnlyInfo], strategy: Option[StrategyModel], triggerIntervalMs: Option[Long], options: Map[String, String] = Map.empty)
- name
unique name of the processing component
- group
group of which the processing component is part
- staticInputs
list of inputs for static datasets
- streamingOutput
streaming output
- mlModels
machine learning models to be used in the processing
- strategy
strategy model that defines the processing
- triggerIntervalMs
trigger interval to use, in milliseconds
- options
has no effect at all
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def
generateStandardProcessingComponentName: String
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- ProcessingComponentModel
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def
generateStandardWriterName: String
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- ProcessingComponentModel
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final
def
getClass(): Class[_]
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- val group: String
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isInstanceOf[T0]: Boolean
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- val mlModels: List[MlModelOnlyInfo]
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val
name: String
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- StructuredStreamingETLModel → ProcessingComponentModel
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notify(): Unit
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notifyAll(): Unit
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- val options: Map[String, String]
- val staticInputs: List[ReaderModel]
- val strategy: Option[StrategyModel]
- val streamingInput: StreamingReaderModel
- val streamingOutput: WriterModel
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def
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- val triggerIntervalMs: Option[Long]
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