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object OrcUtils extends Logging

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  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. def addSparkVersionMetadata(writer: Writer): Unit

    Add a metadata specifying Spark version.

  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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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. val extensionsForCompressionCodecNames: Map[String, String]
  10. def finalize(): Unit
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  11. final def getClass(): Class[_]
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  12. def hashCode(): Int
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  13. def inferSchema(sparkSession: SparkSession, files: Seq[FileStatus], options: Map[String, String]): Option[StructType]
  14. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  15. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  16. final def isInstanceOf[T0]: Boolean
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  17. def isTraceEnabled(): Boolean
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    protected
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    Logging
  18. def listOrcFiles(pathStr: String, conf: Configuration): Seq[Path]
  19. def log: Logger
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    protected
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    Logging
  20. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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    Logging
  21. def logDebug(msg: ⇒ String): Unit
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  22. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  23. def logError(msg: ⇒ String): Unit
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  24. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  25. def logInfo(msg: ⇒ String): Unit
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  26. def logName: String
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  27. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  28. def logTrace(msg: ⇒ String): Unit
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  29. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  30. def logWarning(msg: ⇒ String): Unit
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  31. final def ne(arg0: AnyRef): Boolean
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  32. final def notify(): Unit
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    @native()
  33. final def notifyAll(): Unit
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    @native()
  34. def orcTypeDescriptionString(dt: DataType): String

    Given a StructType object, this methods converts it to corresponding string representation in ORC.

  35. def readOrcSchemasInParallel(files: Seq[FileStatus], conf: Configuration, ignoreCorruptFiles: Boolean): Seq[StructType]

    Reads ORC file schemas in multi-threaded manner, using native version of ORC.

    Reads ORC file schemas in multi-threaded manner, using native version of ORC. This is visible for testing.

  36. def readSchema(sparkSession: SparkSession, files: Seq[FileStatus]): Option[StructType]
  37. def readSchema(file: Path, conf: Configuration, ignoreCorruptFiles: Boolean): Option[TypeDescription]
  38. def requestedColumnIds(isCaseSensitive: Boolean, dataSchema: StructType, requiredSchema: StructType, reader: Reader, conf: Configuration): Option[Array[Int]]

    Returns the requested column ids from the given ORC file.

    Returns the requested column ids from the given ORC file. Column id can be -1, which means the requested column doesn't exist in the ORC file. Returns None if the given ORC file is empty.

  39. final def synchronized[T0](arg0: ⇒ T0): T0
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  40. def toString(): String
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  41. final def wait(): Unit
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  42. final def wait(arg0: Long, arg1: Int): Unit
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  43. final def wait(arg0: Long): Unit
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