spark_auto_mapper.data_types.null_if_empty¶
Module Contents¶
Classes¶
If value returns empty then return null else return value |
- class spark_auto_mapper.data_types.null_if_empty.AutoMapperNullIfEmptyDataType(value)¶
Bases:
spark_auto_mapper.data_types.data_type_base.AutoMapperDataTypeBase,Generic[_TAutoMapperDataType]If value returns empty then return null else return value
- Parameters
value (_TAutoMapperDataType) –
- include_null_properties(self, include_null_properties)¶
- Parameters
include_null_properties (bool) –
- Return type
None
- get_column_spec(self, source_df, current_column)¶
Gets the column spec for this automapper data type
- Parameters
source_df (Optional[pyspark.sql.DataFrame]) – source data frame in case the automapper type needs that data to decide what to do
current_column (Optional[pyspark.sql.Column]) – (Optional) this is set when we are inside an array
- Return type
pyspark.sql.Column