Hi ALL! I need to import data in CSV format into my models everyday ~ 500.000 rows. But my CSV files are uncomplite, I have to append some data to every row.
I use something like this to import data into my model: for d in csv.DictReader(...): d.update(my_data) MyModel.objects.create(**d) But I don't want to invent a bisycle and want to do this in django way, may be it'll be better to create intermediate XML fixtures and then load them using manage.py loaddata ? But if I do so, I do my work twise. And it takes much more time... load data from XML is very slow, it takes 14 minutes to import 85.000 rows. What you can recomend in my case? Thanks! --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Django users" group. To post to this group, send email to django-users@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/django-users?hl=en -~----------~----~----~----~------~----~------~--~---
