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abstract class CSVDataSource extends Serializable

Common functions for parsing CSV files

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Serializable, AnyRef, Any
Known Subclasses
MultiLineCSVDataSource, TextInputCSVDataSource
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  1. CSVDataSource
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Instance Constructors

  1. new CSVDataSource()

Abstract Value Members

  1. abstract def infer(sparkSession: SparkSession, inputPaths: Seq[FileStatus], parsedOptions: CSVOptions): StructType
    Attributes
    protected
  2. abstract def isSplitable: Boolean
  3. abstract def readFile(conf: Configuration, file: PartitionedFile, parser: UnivocityParser, headerChecker: CSVHeaderChecker, requiredSchema: StructType): Iterator[InternalRow]

    Parse a PartitionedFile into InternalRow instances.

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. final def eq(arg0: AnyRef): Boolean
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  8. def finalize(): Unit
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  9. final def getClass(): Class[_ <: AnyRef]
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  10. def hashCode(): Int
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  11. final def inferSchema(sparkSession: SparkSession, inputPaths: Seq[FileStatus], parsedOptions: CSVOptions): Option[StructType]

    Infers the schema from inputPaths files.

  12. final def isInstanceOf[T0]: Boolean
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  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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  15. final def notifyAll(): Unit
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  16. final def synchronized[T0](arg0: => T0): T0
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  17. def toString(): String
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  18. final def wait(): Unit
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  19. final def wait(arg0: Long, arg1: Int): Unit
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  20. final def wait(arg0: Long): Unit
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