This article is co-authored by Behram Khan and Vivienne Vereen, Architects at Microsoft Looking for governance across semantic models and reports? Need a programmatic solution to deploy Direct La...
Updated 1 year ago
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Hi npergand
Thanks for your reply.
Using this:
from sempy_labs.directlake import generate_direct_lake_semantic_model, add_table_to_direct_lake_semantic_model
The error is:
When I call this:
generate_direct_lake_semantic_model(
dataset = p_model_name,
lakehouse_tables = p_source_tables,
lakehouse = p_lakehouse_name,
lakehouse_workspace = p_lakehouse_workspace,
schema = p_lakehouse_schema,
workspace = p_workspace_name,
refresh = True,
overwrite = True
dataset = p_model_name,
lakehouse_tables = p_source_tables,
lakehouse = p_lakehouse_name,
lakehouse_workspace = p_lakehouse_workspace,
schema = p_lakehouse_schema,
workspace = p_workspace_name,
refresh = True,
overwrite = True
I am using thre schema parameter and these are the values I pass:
p_lakehouse_schema = "xx"
v_source_tables = ["aaaa", "bbbb", "cccc"]
I do not beleive it is the values that cause the error but am happy to be proved wrong.
The code worked when not using schemas and now we are it does not.
I do populate the schema parameter.
The error is: The operation is not supported for Lakehouse with schemas enabled
I would be interested in your thoughts?