org.apache.spark.sql.execution.datasources.csv

UnivocityParser

class UnivocityParser extends Logging

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Instance Constructors

  1. new UnivocityParser(schema: StructType, options: CSVOptions)

  2. new UnivocityParser(schema: StructType, requiredSchema: StructType, options: CSVOptions)

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

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

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  13. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  15. def isTraceEnabled(): Boolean

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  16. def log: Logger

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  17. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  18. def logDebug(msg: ⇒ String): Unit

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  19. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  22. def logInfo(msg: ⇒ String): Unit

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  23. def logName: String

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  24. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  26. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  27. def logWarning(msg: ⇒ String): Unit

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  28. def makeConverter(name: String, dataType: DataType, nullable: Boolean = true, options: CSVOptions): (String) ⇒ Any

    Create a converter which converts the string value to a value according to a desired type.

    Create a converter which converts the string value to a value according to a desired type. Currently, we do not support complex types (ArrayType, MapType, StructType).

    For other nullable types, returns null if it is null or equals to the value specified in nullValue option.

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

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  30. final def notify(): Unit

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  31. final def notifyAll(): Unit

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  32. val options: CSVOptions

  33. def parse(input: String): InternalRow

    Parses a single CSV string and turns it into either one resulting row or no row (if the the record is malformed).

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

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  35. def toString(): String

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  36. final def wait(): Unit

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