spark_auto_mapper.data_types.decimal
¶
Module Contents¶
Classes¶
Base class for all Automapper data types |
- class spark_auto_mapper.data_types.decimal.AutoMapperDecimalDataType(value, precision, scale)¶
Bases:
spark_auto_mapper.data_types.data_type_base.AutoMapperDataTypeBase
Base class for all Automapper data types
Specifies the value should be used as a decimal :param value: :param precision: the maximum total number of digits (on both sides of dot) :param scale: the number of digits on right side of dot
- Parameters
value (spark_auto_mapper.type_definitions.defined_types.AutoMapperAmountInputType) –
precision (int) –
scale (int) –
- 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