Forum Discussion
Writing to a specific warehouse schema using a dataflow gen2
tayloramy pmscorca we implemented the capability of writing to a given schema in Azure Sql, Lakehouse, Warehouse and Fabric Sql quite some time ago already.
As mentioned by miguel you need to ensure that you expand Advanced option when selecting the connector and set "Navigate using full hierarchy" to True.
Once done, on the next stage you'll be able to see the list of schema you can write to
Best regards,
Antoine
I'm not sure I'm following. The schemas are in the left where you can pick them like perhaps db_datareader. Once that schema is selected you can input the name of a new table in then input box in the right.
what is the issue that you're seeing?
Hi, at the left of the input box where I can write the name of the table to create I don't see any input boxes for the related schema name.
I think I understand the request now. Can you confirm that what you're trying to do is actually have dataflow create a completely new schema?
Hi miguel please follow me, thanks.
Remember like a pipeline allows to specify the schema name and the table name for a table.
Observe this picture, please
The selected schema for a new table to create doesn't maintained if I save the dataflow gen2 without running it.I think that the actual feature to custom the schema for a destination table is incomplete and less useful: for me it isn't necessary to create a new idea to improve this feature.
Many thanks for your attention.
the schema is maintained and you can hover over the data destination card at the bottom of the query settings pane, right underneath the applied steps. This should give you all the information about what the data destination configuration is.
I do understand that perhaps the pipelines and dataflows experience are not exactly the same. I will pass this feedback to the appropriate set of individuals inside of my team who own this feature.
I do want to clarify that the functionality is there so, to address your initial question, Dataflows is capable of using a schema to load data as a new or existing table.
We welcome you to post any suggestions or feedback to improve the experience in the Fabric Ideas portal so other members of the community can also chime in.