Once attributes are resolved, is there a way to remove the original (coded) attributes automatically?

I’m not quite sure what you mean by schema issue with the BulkAttributeRenamer….

There is also the BulkAttributeRemover (and Keeper). Have you had a look at either of these?

By schema issue I mean, if you simply remove the suffix from the _resolved fields, this places the description values in the original field.

When you resolve domains, the original field is a ‘coded_domain’ type, while the resolved field is type ‘char’.

Therefore, if you use the BulkAttributeRenamer to strip “_resolved”, all the values are now going into a coded_domain field, thus causing schema issues when you go to write.

If you try to use a GDB writer, your translation will fail.

With BulkAttributeRemover, yes, this technically could be used but it’s the same method as the AttributeManager. I want to prevent doing it manually if possible.

Are you using a dynamic writer (with a schema feature?) or are you using a standard writer?

If you’re using a schema feature, you’ll be able to break down the schema and adjust the field types from coded_domain to the desired type. This may require a bit of python to achieve smoothly.

If you’re just using a standard writer you can change the type under the user attributes tab
 

I’m just using a standard writer, however, if you use a feature writer, the translation is successful. Not sure what the difference is between a GDB Writer and a Feature Writer, but one works and the other does not. 

To reiterate, I am simply just trying to find a fast and efficient way to remove the coded fields as I only need the resolved ones to be written. Changing things one by one is tedious and depending on how many coded fields a dataset may have, could take quite a bit of time, not to mention user error as well.