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

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7.  def equals(arg0: Any): Boolean

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8.  def filterCommentAndEmpty(iter: Iterator[String], options: CSVOptions): Iterator[String]
9.  def filterCommentAndEmpty(lines: Dataset[String], options: CSVOptions): Dataset[String]

   Filter ignorable rows for CSV dataset (lines empty and starting with comment).

   Filter ignorable rows for CSV dataset (lines empty and starting with comment). This is currently being used in CSV schema inference.

10.  def filterHeaderLine(iter: Iterator[String], firstLine: String, options: CSVOptions): Iterator[String]

    Skip the given first line so that only data can remain in a dataset.

    Skip the given first line so that only data can remain in a dataset. This is similar with dropHeaderLine below and currently being used in CSV schema inference.

11.  def finalize(): Unit

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12.  final def getClass(): Class[_]

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13.  def hashCode(): Int

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14.  final def isInstanceOf[T0]: Boolean

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15.  def makeSafeHeader(row: Array[String], caseSensitive: Boolean, options: CSVOptions): Array[String]

    Generates a header from the given row which is null-safe and duplicate-safe.

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.  def sample(csv: RDD[Array[String]], options: CSVOptions): RDD[Array[String]]

    Sample CSV RDD as configured by samplingRatio.

20.  def sample(csv: Dataset[String], options: CSVOptions): Dataset[String]

    Sample CSV dataset as configured by samplingRatio.

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

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22.  def toString(): String

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23.  final def wait(): Unit

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

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25.  final def wait(arg0: Long): Unit

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