Ok I think I see what is going on. Here’s an example:
46 01:49:22 IMPORT_DATA Ignores rows with values [3BD1D3CF-3834-4D11-8857-3FD68CAD57AD, Yoga Safari To The Soul, Feed Your Soul in these signature Namastacy classes that transform the physical, tame the cerebral and energize the spiritual. All classes are an alignment-based therapeutic yoga flow in the Krishnamycharia lineage. Each class is intelligently sequenced to address different levels, so the experience is a perfect blend of strength, flexibility and balance designed to challenge everything from the core to consciousness taking you into a sattvic state from beginning to end., 20.0, EEFB4438-4848-4312-9567-EBFC6EB551E6, 1667968800, 0, True, False, False, 25, 1667950200, 0, 04/26/2023 01:49:22 UTC, null]. Invalid date format for value ‘EEFB4438-4848-4312-9567-EBFC6EB551E6’
It looks like it’s parsing the long description (third column) as two separate column. I checked my source file and the string is properly quote-escaped. Is there something else I need to do?
Edit: Original row:
3BD1D3CF-3834-4D11-8857-3FD68CAD57AD,Yoga Safari To The Soul,“Feed Your Soul in these signature Namastacy classes that transform the physical, tame the cerebral and energize the spiritual. All classes are an alignment-based therapeutic yoga flow in the Krishnamycharia lineage. Each class is intelligently sequenced to address different levels, so the experience is a perfect blend of strength, flexibility and balance designed to challenge everything from the core to consciousness taking you into a sattvic state from beginning to end.”,20.0,EEFB4438-4848-4312-9567-EBFC6EB551E6,1667968800,0,True,False,False,25,1667950200,0