class CSVReader extends Serializable

CSVReader partitions CSV files into structured elements with metadata, similar to ExcelReader.

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  1. CSVReader
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Instance Constructors

  1. new CSVReader(encoding: String = "UTF-8", includeHeader: Boolean = false, inferTableStructure: Boolean = true, delimiter: String = ",", storeContent: Boolean = false, outputFormat: String = "json-table")

    encoding

    Character encoding for reading CSV files (default: UTF-8).

    includeHeader

    If true, includes the header as the first row in content and HTML.

    inferTableStructure

    If true, generates HTML table representation as metadata.

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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    protected[lang]
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    @throws( ... ) @native()
  6. def csv(filePath: String): DataFrame

    Main entry: partition CSV files according to chosen strategy.

  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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    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
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    @native()
  11. def getOutputColumn: String
  12. def hashCode(): Int
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    @native()
  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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    @native()
  16. final def notifyAll(): Unit
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    @native()
  17. def setOutputColumn(value: String): CSVReader.this.type
  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  19. def toString(): String
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  20. final def wait(): Unit
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    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit
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  22. final def wait(arg0: Long): Unit
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