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Describe the issue
When live-connected to a DirectLake model, there is no way to use the Data Refresh functionality in TE3 on a table. There is only the option to use data refresh on the whole model itself.
** Which version are you currently using? **
3.11.0.26496
Steps to reproduce the behavior:
Connect to a DirectLake model
Right click on a table
There is no option for Refresh...
Expected behavior
Although it is commonly thought that DirectLake models do not need to be refreshed as it is managed in Fabric, this is not always the case. Adding/updating RLS necessitates 'framing' or refreshing the model. Additionally, folks can turn off the 'auto-sync' refresh option for their dataset which would that make it necessitate 'framing' (refreshes). In such a case, folks likely want individual control over which tables are synced with the lakehouse at a given time (so don't want to frame/refresh the entire model, just a table or several tables).
Desktop (please complete the following information):
Windows version: 11
The text was updated successfully, but these errors were encountered:
m-kovalsky
changed the title
[Issue] Data Refresh not available for DirectLake models
[Issue] Data Refresh not available for DirectLake models (at the table level)
Sep 28, 2023
Good catch! We’ll make sure the tool allows refresh of individual tables. Am I correct in my assumption that DirectLake tables only need the “Full” refresh option?
Great, thanks Daniel! Yes, 'full' should be enough for DirectLake models. However if composite models becomes supported with DirectLake models then other processing modes will become relevant as well.
Describe the issue
When live-connected to a DirectLake model, there is no way to use the Data Refresh functionality in TE3 on a table. There is only the option to use data refresh on the whole model itself.
** Which version are you currently using? **
3.11.0.26496
Steps to reproduce the behavior:
Expected behavior
Although it is commonly thought that DirectLake models do not need to be refreshed as it is managed in Fabric, this is not always the case. Adding/updating RLS necessitates 'framing' or refreshing the model. Additionally, folks can turn off the 'auto-sync' refresh option for their dataset which would that make it necessitate 'framing' (refreshes). In such a case, folks likely want individual control over which tables are synced with the lakehouse at a given time (so don't want to frame/refresh the entire model, just a table or several tables).
Desktop (please complete the following information):
The text was updated successfully, but these errors were encountered: