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 assertEmptyRootPath(tablePath: URI, saveMode: SaveMode, hadoopConf: Configuration): Unit

   When execute CTAS operators, and the location is not empty, throw AnalysisException.

   When execute CTAS operators, and the location is not empty, throw AnalysisException. For CTAS, the SaveMode is always ErrorIfExists

   tablePath

   Table location.

   saveMode

   Save mode of the table.

   hadoopConf

   Configuration.

6.  def clone(): AnyRef

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   protected[lang]

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   @throws(classOf[java.lang.CloneNotSupportedException]) @native()

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

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8.  def equals(arg0: AnyRef): Boolean

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9.  def finalize(): Unit

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10.  final def getClass(): Class[_ <: AnyRef]

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    @native()

11.  def hashCode(): Int

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    @native()

12.  final def isInstanceOf[T0]: Boolean

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13.  def logicalPlanOutputWithNames(query: LogicalPlan, names: Seq[String]): Seq[Attribute]

    Returns output attributes with provided names.

    Returns output attributes with provided names. The length of provided names should be the same of the length of LogicalPlan.output.

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

    Definition Classes

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    @native()

17.  def propogateMetrics(sparkContext: SparkContext, command: DataWritingCommand, metrics: Map[String, SQLMetric]): Unit

    When execute CTAS operators, Spark will use InsertIntoHadoopFsRelationCommand or InsertIntoHiveTable command to write data, they both inherit metrics from DataWritingCommand, but after running InsertIntoHadoopFsRelationCommand or InsertIntoHiveTable, we only update metrics in these two command through BasicWriteJobStatsTracker, we also need to propogate metrics to the command that actually calls InsertIntoHadoopFsRelationCommand or InsertIntoHiveTable.

    When execute CTAS operators, Spark will use InsertIntoHadoopFsRelationCommand or InsertIntoHiveTable command to write data, they both inherit metrics from DataWritingCommand, but after running InsertIntoHadoopFsRelationCommand or InsertIntoHiveTable, we only update metrics in these two command through BasicWriteJobStatsTracker, we also need to propogate metrics to the command that actually calls InsertIntoHadoopFsRelationCommand or InsertIntoHiveTable.

    sparkContext

    Current SparkContext.

    command

    Command to execute writing data.

    metrics

    Metrics of real DataWritingCommand.

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(classOf[java.lang.InterruptedException])

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

    Definition Classes

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

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

    Definition Classes

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    @throws(classOf[java.lang.InterruptedException]) @native()