Entire data mismatch throws None about datacompy HOT 3 CLOSED

Thanks for raising the issue. Do you have a snippet of code with the output, just to help with reproducibility?

from datacompy.

The scenario is when the two tables have same schema and data set is entirely different.
Ex:
Table A
col1 col2 col3
a b c
a b c
Table B
col1 col2 col3
d a f
g f g

The comparison "_print_row_matches_by_column" method thows error at SparkCompare

The following is Exact Exception

Exception: unsupported operand type(s) for +: 'int' and 'NoneType'

Stack Trace:
Traceback (most recent call last):
if sum(self.columns_match_dict[key])== self.columns_match_dict[key][MatchType.MATCH.value]:
TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'

from datacompy.

If the supplied join key mismatch its throws the execption.

from datacompy.