object ColumnCastUtil
This class casts a column to another column if the predicate passed resolves to true. This method should be able to handle nested or non-nested types
At this time this is strictly a place for casting methods
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def
deepTransform(cv: ColumnVector, dt: Option[DataType] = None, nestedMismatchHandler: Option[(ColumnView, DataType) ⇒ (Option[ColumnView], Seq[AutoCloseable])] = None)(convert: PartialFunction[(ColumnView, Option[DataType]), ColumnView]): ColumnVector
Transforms a ColumnVector into a new ColumnVector using a
PartialFunction.Transforms a ColumnVector into a new ColumnVector using a
PartialFunction. If the partial function matches it is assumed that this takes ownership of the returned view. A lot of caution needs to be taken when using this method because of ownership of the data.- cv
the vector to be updated
- dt
the Spark's data type of the input vector (if applicable)
- nestedMismatchHandler
a function that can handle a mismatch between nesting. This can include things like when a STRING is found, but a nested type is needed, or when a nested value is returned by CUDF but a non-nested type is expected.
- convert
the partial function used to convert the data. If this matches and returns a updated view this function takes ownership of that view.
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the updated vector
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def
deepTransformView(cv: ColumnView, dt: Option[DataType] = None, nestedMismatchHandler: Option[(ColumnView, DataType) ⇒ (Option[ColumnView], Seq[AutoCloseable])] = None)(convert: PartialFunction[(ColumnView, Option[DataType]), ColumnView]): (Option[ColumnView], Seq[AutoCloseable])
Transforms a ColumnView into a new ColumnView using a
PartialFunctionor returns None indicating that no transformation happened (nothing matched).Transforms a ColumnView into a new ColumnView using a
PartialFunctionor returns None indicating that no transformation happened (nothing matched). If the partial function matches it is assumed that this takes ownership of the returned view. A lot of caution needs to be taken when using this method because of ownership of the data. This will handle reference counting and return not just the updated ColumnView but also any views and or data that were generated along the way and need to be closed. This includes the returned view itself. So you should not explicitly close the returned view. It will be closed by closing everything in the returned collection of AutoCloseable values.- cv
the view to be updated
- dt
the Spark's data type of the input view (if applicable)
- nestedMismatchHandler
a function that can handle a mismatch between nesting. This can include things like when a STRING is found, but a nested type is needed, or when a nested value is returned by CUDF but a non-nested type is expected.
- convert
the partial function used to convert the data. If this matches and returns a updated view this function takes ownership of that view.
- returns
None if there were no changes to the view or the updated view along with anything else that needs to be closed.
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def
ifTrueThenDeepConvertTypeAtoTypeB(cv: ColumnVector, dataType: DataType, predicate: (DataType, ColumnView) ⇒ Boolean, convert: (DataType, ColumnView) ⇒ ColumnView): ColumnVector
This method deep casts the input ColumnView to a new column if the predicate passed to this method resolves to true.
This method deep casts the input ColumnView to a new column if the predicate passed to this method resolves to true. Note: This method will also cast children of nested types to the given type if predicate succeeds
- cv
The column view that could potentially have a type to replace
- predicate
Condition on which to cast the column or child column view
- convert
Method used to convert the column view to a new column view
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