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My thanks to both Stephen and Michael. I tinkered with the file and I was able to get it successfully validated with just the xmlns declaration. That makes me a lot happier. The other issue, which I didn't discuss earlier because it might have been moot based on the first issue, is my handling of null fields. My schema does indeed have custom data types, i.e. string0to14, etc. It also has some enumeration types. The schema also enforces required fields, although I have been sorely tempted to remove this from the schema because I have not been able to successfully validate a file with nulls without adding xs:nil = "true" to the elements which I want to be null. Only a small amount of the fields are required, and therefore the size of the uploaded file could be a lot smaller if the customer wasn't required to include the tags for elements which have no value. In my tests, if I omitted the tag, the schema validation failed because the tags were out of order. I also tried specifying a default value for each field in the schema if it was null, but that did not work well at all for date fields. A problem which I learned was quite common from what I've read since then. I would like to still use the schema so I can continue to read the file into the dataset, but I think it would be useful to allow the customer to supply only the tags that actually have values while still performing required field validation. Is this an all or nothing situation? It seems my choices are to allow the schema to validate required fields and therefore require the customer to provide all tags even if the data is null, or I can remove required fields from the schema and just perform my validation in code after the schema validation is performed. Again, thanks for any advice, --Jason
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