def _spark(
cls,
execution_engine: "SqlAlchemyExecutionEngine",
metric_domain_kwargs: Dict,
metric_value_kwargs: Dict,
metrics: Dict[Tuple, Any],
runtime_configuration: Dict,
):
return F.count(F.lit(1)), metric_domain_kwargs, dict()
def _spark(cls, column, **kwargs):
return F.count(F.lit(1)).over(Window.partitionBy(column)) <= 1
def _spark(cls, column_list, **kwargs):
column_names = column_list.columns
row_wise_cond = (F.count(F.lit(1)).over(
Window.partitionBy(F.struct(*column_names))) <= 1)
return row_wise_cond