Class

it.agilelab.bigdata.wasp.models

PipegraphModel

Related Doc: package models

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case class PipegraphModel(name: String, description: String, owner: String, isSystem: Boolean, creationTime: Long, legacyStreamingComponents: List[LegacyStreamingETLModel], structuredStreamingComponents: List[StructuredStreamingETLModel], rtComponents: List[RTModel], dashboard: Option[DashboardModel] = None, labels: Set[String] = Set.empty) extends Model with Product with Serializable

A model for a pipegraph, a processing pipeline abstraction.

name

name of the pipegraph

description

description of the pipegraph

owner

owner of the pipegraph

isSystem

whether the pipegraph is from the WASP system

creationTime

time of creation of the pipegraph

legacyStreamingComponents

components describing processing built on Spark Legacy Streaming

structuredStreamingComponents

components describing processing built on Spark Structured Streaming

rtComponents

components describing processing built on Akka actors

dashboard

dashboard of the pipegraph

Linear Supertypes
Serializable, Serializable, Product, Equals, Model, AnyRef, Any
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Inherited
  1. PipegraphModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Model
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new PipegraphModel(name: String, description: String, owner: String, isSystem: Boolean, creationTime: Long, legacyStreamingComponents: List[LegacyStreamingETLModel], structuredStreamingComponents: List[StructuredStreamingETLModel], rtComponents: List[RTModel], dashboard: Option[DashboardModel] = None, labels: Set[String] = Set.empty)

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    name

    name of the pipegraph

    description

    description of the pipegraph

    owner

    owner of the pipegraph

    isSystem

    whether the pipegraph is from the WASP system

    creationTime

    time of creation of the pipegraph

    legacyStreamingComponents

    components describing processing built on Spark Legacy Streaming

    structuredStreamingComponents

    components describing processing built on Spark Structured Streaming

    rtComponents

    components describing processing built on Akka actors

    dashboard

    dashboard of the pipegraph

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. val creationTime: Long

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    time of creation of the pipegraph

  7. val dashboard: Option[DashboardModel]

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    dashboard of the pipegraph

  8. val description: String

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    description of the pipegraph

  9. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  11. def generateStandardPipegraphName: String

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  12. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  13. def hasRtComponents: Boolean

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  14. def hasSparkComponents: Boolean

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  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  16. val isSystem: Boolean

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    whether the pipegraph is from the WASP system

  17. val labels: Set[String]

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  18. val legacyStreamingComponents: List[LegacyStreamingETLModel]

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    components describing processing built on Spark Legacy Streaming

  19. val name: String

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    name of the pipegraph

    name of the pipegraph

    Definition Classes
    PipegraphModel → Model

  20. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  21. final def notify(): Unit

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    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  23. val owner: String

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    owner of the pipegraph

  24. val rtComponents: List[RTModel]

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    components describing processing built on Akka actors

  25. val structuredStreamingComponents: List[StructuredStreamingETLModel]

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    components describing processing built on Spark Structured Streaming

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

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    Definition Classes
    AnyRef

  27. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  29. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Model

Inherited from AnyRef

Inherited from Any

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