Is your feature request related to a problem? Please describe.
When running a validation for unexpected_rows_expectation it is just giving unexpected_rows_list and the observed_value ( which has unexpected row count ). But it does not have element_count which can tell how many rows it evaluated.
Solution
Can there be any way i can see other values (like element_count) in the validation results
Additional context
In the UnexpectedRowsExpectation class (great_expectations/expectations/core/unexpected_rows_expectation.py)
the _validate function returns very few metrics as shown below
@override
def _validate(
self,
metrics: dict,
runtime_configuration: dict | None = None,
execution_engine: ExecutionEngine | None = None,
) -> Union[ExpectationValidationResult, dict]:
metric_value = metrics["unexpected_rows_query.table"]
unexpected_row_count = metrics["unexpected_rows_query.row_count"]
observed_value = f"{unexpected_row_count} unexpected "
if unexpected_row_count == 1:
observed_value += "row"
else:
observed_value += "rows"
return {
"success": unexpected_row_count == 0,
"result": {
"observed_value": observed_value,
"details": {"unexpected_rows": metric_value},
},
}
so can we update this to return even more important information in the results
Is your feature request related to a problem? Please describe.
When running a validation for unexpected_rows_expectation it is just giving unexpected_rows_list and the observed_value ( which has unexpected row count ). But it does not have element_count which can tell how many rows it evaluated.
Solution
Can there be any way i can see other values (like element_count) in the validation results
Additional context
In the UnexpectedRowsExpectation class (great_expectations/expectations/core/unexpected_rows_expectation.py)
the _validate function returns very few metrics as shown below
so can we update this to return even more important information in the results