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I have a date column where there are tens of thousands of 0 values. I like the warning intially, but very quickly it fills up the terminal.
To avoid the warnings I could (should I?) try to handle this prior to passing the data to the schema parser using a regex? Maybe just use an intCol and create a new column that is parsed? Any suggestions are appreciated.
The text was updated successfully, but these errors were encountered:
Yes this has been marked as a todo for a while, but I never had a good idea how aggregate these errors in a way that doesn't impact complexity too much. Probably we would have to use Option[Time] in general then?
In practice you probably can work-around the problem by keeping the field as a string initially, and then apply a mapper with your own string-to-date conversion with fallbacks.
Does this seem like a sensible option to add?
I have a date column where there are tens of thousands of 0 values. I like the warning intially, but very quickly it fills up the terminal.
To avoid the warnings I could (should I?) try to handle this prior to passing the data to the schema parser using a regex? Maybe just use an intCol and create a new column that is parsed? Any suggestions are appreciated.
The text was updated successfully, but these errors were encountered: