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object GpuParquetScan extends Serializable

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  1. final def !=(arg0: Any): Boolean
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  9. def footerReaderHeuristic(inputValue: RapidsConf.ParquetFooterReaderType.Value, data: StructType, read: StructType, useFieldId: Boolean): RapidsConf.ParquetFooterReaderType.Value

    Adjust the footer reader type based off of a heuristic.

  10. final def getClass(): Class[_]
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  15. final def notifyAll(): Unit
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  16. def rebaseDateTime(table: Table, dateRebaseMode: DateTimeRebaseMode, timestampRebaseMode: DateTimeRebaseMode): Table
  17. def splitTargetBatchSize(targetBatchSize: Long, useChunkedReader: Boolean): Long

    Check that we can split the targetBatchSize and then return a split targetBatchSize.

    Check that we can split the targetBatchSize and then return a split targetBatchSize. This is intended to be called from the SplitAndRetryOOM handler for all implementations of the parquet reader

    targetBatchSize

    the current target batch size.

    useChunkedReader

    if chunked reading is enabled. This only works if chunked reading is enabled.

    returns

    the updated target batch size.

  18. final def synchronized[T0](arg0: ⇒ T0): T0
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  19. def tagSupport(sparkSession: SparkSession, readSchema: StructType, meta: RapidsMeta[_, _, _]): Unit
  20. def tagSupport(scanMeta: ScanMeta[ParquetScan]): Unit
  21. def throwIfRebaseNeededInExceptionMode(table: Table, dateRebaseMode: DateTimeRebaseMode, timestampRebaseMode: DateTimeRebaseMode): Unit
  22. def toString(): String
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  23. final def wait(): Unit
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