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03-24-2025 15:17 PM - last edited 03-27-2025 13:13 PM
Download this notebook from: semantic-link-labs/notebooks/Semantic Model Refresh.ipynb at main · microsoft/semantic-link-labs · G...
Check here to see the latest version.
%pip install semantic-link-labs
import sempy.fabric as fabric import sempy_labs as labs dataset = '' # Enter your dataset name workspace = None # Enter your workspace name (if set to None it will use the workspace in which the notebook is running)
labs.refresh_semantic_model(dataset=dataset, workspace=workspace)
The resulting dataframe returns the trace logs capturing the details of the refresh operation
df = labs.refresh_semantic_model(dataset=dataset, workspace=workspace, visualize=True)
labs.refresh_semantic_model(dataset=dataset, workspace=workspace, tables=['Sales', 'Geography'])
labs.refresh_semantic_model(dataset=dataset, workspace=workspace, partitions=["'Sales'[Sales FY20]", "'Sales'[Sales FY21]"])
labs.refresh_semantic_model(dataset=dataset, workspace=workspace, tables=['Geography', 'Calendar'], partitions=["'Sales'[Sales FY20]", "'Sales'[Sales FY21]"])
labs.refresh_semantic_model(dataset=dataset, workspace=workspace, refresh_type='clearValues')
fabric.list_refresh_requests(dataset=dataset, workspace=workspace)
labs.cancel_dataset_refresh(dataset=dataset, workspace=workspace)
# Specify the request_id based on a value from list_refresh_requests labs.cancel_dataset_refresh(dataset=dataset, workspace=workspace, request_id='')
labs.get_semantic_model_refresh_history(dataset=dataset, workspace=workspace)
labs.get_semantic_model_refresh_history(dataset=dataset, workspace=workspace, request_id='')
https%3A%2F%2Fgithub.com%2Fmicrosoft%2Fsemantic-link-labs%2Fblob%2Fmain%2Fnotebooks%2FSemantic%2520Model%2520Refresh.ipynb