public class DataframeTransform extends PTransform<PCollection<Row>,PCollection<Row>>
DataframeTransform. @Experimentalname, resourceHints| Modifier and Type | Method and Description |
|---|---|
PCollection<Row> |
expand(PCollection<Row> input)
Override this method to specify how this
PTransform should be expanded on the given
InputT. |
static DataframeTransform |
of(java.lang.String func)
Instantiates a multi-language wrapper for a Python DataframeTransform with a given lambda
function.
|
DataframeTransform |
withExpansionService(java.lang.String expansionService)
Sets an expansion service endpoint for DataframeTransform.
|
DataframeTransform |
withIndexes()
Sets include_indexes option for DataframeTransform.
|
compose, compose, getAdditionalInputs, getDefaultOutputCoder, getDefaultOutputCoder, getDefaultOutputCoder, getKindString, getName, getResourceHints, populateDisplayData, setResourceHints, toString, validate, validatepublic static DataframeTransform of(java.lang.String func)
func - A Python lambda function that accepts Pandas dataframe object.DataframeTransform for the given lambda function.public DataframeTransform withIndexes()
DataframeTransform with include_indexes option enabled.public DataframeTransform withExpansionService(java.lang.String expansionService)
expansionService - A URL for a Python expansion service.DataframeTransform for the given expansion service endpoint.public PCollection<Row> expand(PCollection<Row> input)
PTransformPTransform should be expanded on the given
InputT.
NOTE: This method should not be called directly. Instead apply the PTransform should
be applied to the InputT using the apply method.
Composite transforms, which are defined in terms of other transforms, should return the output of one of the composed transforms. Non-composite transforms, which do not apply any transforms internally, should return a new unbound output and register evaluators (via backend-specific registration methods).
expand in class PTransform<PCollection<Row>,PCollection<Row>>