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org.apache.spark.sql.kyuubi

SparkDatasetHelper

object SparkDatasetHelper 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. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    @throws( ... ) @native()
  6. def convertTopLevelComplexTypeToHiveString(df: DataFrame, timestampAsString: Boolean): DataFrame
  7. final def eq(arg0: AnyRef): Boolean
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  8. def equals(arg0: Any): Boolean
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  9. def executeArrowBatchCollect: (SparkPlan) ⇒ Array[Array[Byte]]
  10. def executeCollect(df: DataFrame): Array[Array[Byte]]
  11. def finalPhysicalPlan(adaptiveSparkPlanExec: AdaptiveSparkPlanExec): SparkPlan

    This method provides a reflection-based implementation of AdaptiveSparkPlanExec.finalPhysicalPlan that enables us to adapt to the Spark runtime without patching SPARK-41914.

    This method provides a reflection-based implementation of AdaptiveSparkPlanExec.finalPhysicalPlan that enables us to adapt to the Spark runtime without patching SPARK-41914.

    TODO: Once we drop support for Spark 3.1.x, we can directly call AdaptiveSparkPlanExec.finalPhysicalPlan.

  12. def finalize(): Unit
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  13. final def getClass(): Class[_]
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  14. def hashCode(): Int
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    @native()
  15. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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    Logging
  16. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  17. final def isInstanceOf[T0]: Boolean
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  18. def isTraceEnabled(): Boolean
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  19. def log: Logger
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  20. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  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. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  35. def toArrowBatchLocalIterator(df: DataFrame): Iterator[Array[Byte]]
  36. def toArrowBatchRdd(plan: SparkPlan): RDD[Array[Byte]]

    Forked from SparkPlan).

    Forked from SparkPlan). Convert to an RDD of serialized ArrowRecordBatches.

  37. def toArrowBatchRdd[T](ds: Dataset[T]): RDD[Array[Byte]]
  38. def toString(): String
    Definition Classes
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  39. final def wait(): Unit
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    @throws( ... )
  40. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  41. final def wait(arg0: Long): Unit
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