Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  val CATALYST_TYPE_ATTRIBUTE_NAME: String
5.  def addSparkVersionMetadata(writer: Writer): Unit

   Add a metadata specifying Spark version.

6.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... ) @native()

8.  def createAggInternalRowFromFooter(reader: Reader, filePath: String, dataSchema: StructType, partitionSchema: StructType, aggregation: Aggregation, aggSchema: StructType, partitionValues: InternalRow): InternalRow

   When the partial aggregates (Max/Min/Count) are pushed down to ORC, we don't need to read data from ORC and aggregate at Spark layer.

   When the partial aggregates (Max/Min/Count) are pushed down to ORC, we don't need to read data from ORC and aggregate at Spark layer. Instead we want to get the partial aggregates (Max/Min/Count) result using the statistics information from ORC file footer, and then construct an InternalRow from these aggregate results.

   NOTE: if statistics is missing from ORC file footer, exception would be thrown.

   returns

   Aggregate results in the format of InternalRow

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

   Definition Classes

   AnyRef

10.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

11.  val extensionsForCompressionCodecNames: Map[String, String]
12.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

13.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

14.  def getOrcSchemaString(dt: DataType): String

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

15.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

16.  def inferSchema(sparkSession: SparkSession, files: Seq[FileStatus], options: Map[String, String]): Option[StructType]
17.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    Attributes

    protected

    Definition Classes

    Logging

18.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes

    protected

    Definition Classes

    Logging

19.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

20.  def isTraceEnabled(): Boolean

    Attributes

    protected

    Definition Classes

    Logging

21.  def listOrcFiles(pathStr: String, conf: Configuration): Seq[Path]
22.  def log: Logger

    Attributes

    protected

    Definition Classes

    Logging

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

    Attributes

    protected

    Definition Classes

    Logging

24.  def logDebug(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

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

    Attributes

    protected

    Definition Classes

    Logging

26.  def logError(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

27.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes

    protected

    Definition Classes

    Logging

28.  def logInfo(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

29.  def logName: String

    Attributes

    protected

    Definition Classes

    Logging

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

    Attributes

    protected

    Definition Classes

    Logging

31.  def logTrace(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

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

    Attributes

    protected

    Definition Classes

    Logging

33.  def logWarning(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

34.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

35.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

36.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

37.  def orcResultSchemaString(canPruneCols: Boolean, dataSchema: StructType, resultSchema: StructType, partitionSchema: StructType, conf: Configuration): String

    Returns the result schema to read from ORC file.

    Returns the result schema to read from ORC file. In addition, It sets the schema string to 'orc.mapred.input.schema' so ORC reader can use later.

    canPruneCols

    Flag to decide whether pruned cols schema is send to resultSchema or to send the entire dataSchema to resultSchema.

    dataSchema

    Schema of the orc files.

    resultSchema

    Result data schema created after pruning cols.

    partitionSchema

    Schema of partitions.

    conf

    Hadoop Configuration.

    returns

    Returns the result schema as string.

38.  def orcTypeDescription(dt: DataType): TypeDescription
39.  def readCatalystSchema(file: Path, conf: Configuration, ignoreCorruptFiles: Boolean): Option[StructType]
40.  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.

41.  def readSchema(sparkSession: SparkSession, files: Seq[FileStatus], options: Map[String, String]): Option[StructType]
42.  def readSchema(file: Path, conf: Configuration, ignoreCorruptFiles: Boolean): Option[TypeDescription]
43.  def requestedColumnIds(isCaseSensitive: Boolean, dataSchema: StructType, requiredSchema: StructType, orcSchema: TypeDescription, conf: Configuration): Option[(Array[Int], Boolean)]
    returns

    Returns the combination of requested column ids from the given ORC file and boolean flag to find if the pruneCols is allowed or not. Requested 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.

44.  def supportColumnarReads(dataType: DataType, nestedColumnEnabled: Boolean): Boolean

    Checks if dataType supports columnar reads.

    Checks if dataType supports columnar reads.

    dataType

    Data type of the orc files.

    nestedColumnEnabled

    True if columnar reads is enabled for nested column types.

    returns

    Returns true if data type supports columnar reads.

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

    Definition Classes

    AnyRef

46.  def toCatalystSchema(schema: TypeDescription): StructType
47.  def toString(): String

    Definition Classes

    AnyRef → Any

48.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()