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com.datasolvr.services.facade

GeneralPipelineOptions

object GeneralPipelineOptions extends OptionDescriptionBuilder

Defines the options that can be used on any pipeline.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. val CUSTOM_FUNCTIONS: String

    A comma-separated list of ids for function plugins to be usable in the pipeline.

  5. val CUSTOM_TRANSFORMS: String

    A comma-separated list of ids for transform plugins to be usable in the pipeline.

  6. val IGNORE_DOWNSTREAM: String

    Ignores any batches that would otherwise have included the pipeline as a dependency of an downstream pipeline.

    Ignores any batches that would otherwise have included the pipeline as a dependency of an downstream pipeline. Default is false.

  7. val IGNORE_UPSTREAM: String

    Ignores any batches that would otherwise have included the pipeline as a dependency of an upstream source or pipeline.

    Ignores any batches that would otherwise have included the pipeline as a dependency of an upstream source or pipeline. Default is false.

  8. val IN_MEMORY_ONLY: String

    Whether to only run the pipeline in-memory (as opposed to persisted).

    Whether to only run the pipeline in-memory (as opposed to persisted). Default is false.

  9. def Mandatory(name: String, validation: (String) ⇒ Option[String] = s => None): OptionDescription
    Attributes
    protected
    Definition Classes
    OptionDescriptionBuilder
  10. def Optional(name: String, default: Option[String] = None, validation: (String) ⇒ Option[String] = s => None): OptionDescription
    Attributes
    protected
    Definition Classes
    OptionDescriptionBuilder
  11. val PARALLEL_PARTS: String

    The number of parallel parts to split the run into.

    The number of parallel parts to split the run into. This only ensures that output of the parts is combined into a single result. The transforms must contain the logic to split the work depending on the part number.

  12. val PARALLEL_PARTS_COLUMN: String

    A column name to use for automatic partitioning of imports.

    A column name to use for automatic partitioning of imports. The partitioning is done by filtering 1 + crc32(PARALLEL_PARTS_COLUMN) % PARALLEL_PARTS to the part number.

  13. val SKIP_VALIDATION: String

    Skip validation of the transforms prior to execution.

    Skip validation of the transforms prior to execution. Use this to get better performance for transforms using large modules. Default is false.

  14. final def asInstanceOf[T0]: T0
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  15. def baseDescriptions: List[OptionDescription]
  16. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  17. def descriptions(descriptions: OptionDescription*): OptionDescriptions
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    protected
    Definition Classes
    OptionDescriptionBuilder
  18. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. def equals(arg0: Any): Boolean
    Definition Classes
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  20. def get: OptionDescriptions
    Definition Classes
    GeneralPipelineOptions → OptionDescriptionBuilder
  21. final def getClass(): Class[_]
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  22. def hashCode(): Int
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  23. final def isInstanceOf[T0]: Boolean
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  24. def legacyOptions: Set[String]
    Definition Classes
    OptionDescriptionBuilder
  25. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  26. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  27. final def notifyAll(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  28. final def synchronized[T0](arg0: ⇒ T0): T0
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  29. def toString(): String
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  30. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  31. final def wait(arg0: Long): Unit
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  32. final def wait(): Unit
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    @throws( ... )

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  1. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from OptionDescriptionBuilder

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