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org.apache.spark.sql.rapids

PCBSSchemaHelper

object PCBSSchemaHelper

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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. val calendarIntervalStructType: StructType
  6. def clone(): AnyRef
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  7. final def eq(arg0: AnyRef): Boolean
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  9. final def getClass(): Class[_]
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  10. def getSupportedDataType(dataType: DataType): DataType

    This method converts types that parquet doesn't recognize to types that Parquet understands.

    This method converts types that parquet doesn't recognize to types that Parquet understands. e.g. CalendarIntervalType is converted to a struct with a struct of two integer types and a long type.

  11. def getSupportedSchemaFromUnsupported(cachedAttributes: Seq[Attribute]): Seq[Attribute]

    There are certain types that are not supported by Parquet.

    There are certain types that are not supported by Parquet. This method converts the schema of those types to something parquet understands e.g. CalendarIntervalType will be converted to an attribute with calendarIntervalStructType as type

  12. def hashCode(): Int
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  13. final def isInstanceOf[T0]: Boolean
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  14. def isTypeSupportedByColumnarSparkParquetWriter(dataType: DataType): Boolean
  15. def isTypeSupportedByParquet(dataType: DataType): Boolean

    This method checks if the datatype passed is officially supported by parquet.

    This method checks if the datatype passed is officially supported by parquet.

    Please refer to https://github.com/apache/parquet-format/blob/master/LogicalTypes.md to see the what types are supported by parquet

  16. final def ne(arg0: AnyRef): Boolean
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  18. final def notifyAll(): Unit
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  19. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. def toString(): String
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  21. final def wait(arg0: Long, arg1: Int): Unit
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  22. final def wait(arg0: Long): Unit
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  23. final def wait(): Unit
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