Class

org.tupol.spark.implicits

DataFrameOps

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implicit class DataFrameOps extends AnyRef

DataFrame decorator.

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Instance Constructors

  1. new DataFrameOps(dataFrame: DataFrame)

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. val dataFrame: DataFrame

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. def flattenFields: DataFrame

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    See org.tupol.spark.sql.flattenFields()

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def makeAvroCompliant(implicit spark: SparkSession): DataFrame

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    Not all column names are compliant to the Avro format.

    Not all column names are compliant to the Avro format. This function renames to columns to be Avro compliant

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def sink[SC <: DataSinkConfiguration](configuration: SC)(implicit sinkFactory: DataAwareSinkFactory): DataAwareSink[SC, DataFrame]

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    See org.tupol.spark.io.DataSink

  19. def streamingSink[SC <: DataSinkConfiguration](configuration: SC)(implicit sinkFactory: DataAwareSinkFactory): DataAwareSink[SC, StreamingQuery]

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    See org.tupol.spark.io.DataSink

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

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  21. def toString(): String

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  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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