spark_auto_mapper.data_types.if_¶
Module Contents¶
Classes¶
If check returns value if the checks passes else when_not |
- class spark_auto_mapper.data_types.if_.AutoMapperIfDataType(column, check, value, else_=None)¶
Bases:
spark_auto_mapper.data_types.data_type_base.AutoMapperDataTypeBase,Generic[_TAutoMapperDataType]If check returns value if the checks passes else when_not
- Parameters
column (spark_auto_mapper.type_definitions.wrapper_types.AutoMapperColumnOrColumnLikeType) –
check (Union[spark_auto_mapper.type_definitions.wrapper_types.AutoMapperAnyDataType, List[spark_auto_mapper.type_definitions.wrapper_types.AutoMapperAnyDataType]]) –
value (_TAutoMapperDataType) –
else_ (Optional[_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