com.springml.spark.salesforce

InferSchema

object InferSchema

Utility to InferSchema from the provided Sample

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. def apply(sampleRdd: RDD[Array[String]], header: Array[String]): StructType

    This is much similar the InferSchema written for JSON

    This is much similar the InferSchema written for JSON

    1. Infer type of each row 2. Merge row types to find common type 3. Replace any null types with string type
  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. val findTightestCommonType: (DataType, DataType) ⇒ Option[DataType]

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. def tryParseTimestamp(field: String): DataType

  22. final def wait(): Unit

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

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

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