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Hi @Anonymous ,
Do you have the cloud and on-premise data sources configured in the gateway as shown below?
And try to add an additional parameter in the source step. Please have a try.The issue might be related to Databrick's new Cloud Fetch architecture in runtime 8.3 and above. With a cluster runtime of 7.3 the refresh on service worked smoothly for the same dataset. The issue only occurs, when merging on prem with cloud data in PBI power query and using a on prem Enterprise gateway. As 7.3 has end of support in September the fix below worked for clusters running on 10.4.
let
Source = Databricks.Catalogs("*********************", [EnableQueryResultDownload="0"]),
hive_metastore_Database = Source{[Name="hive_metastore",Kind="Database"]}[Data],
default_Schema = hive_metastore_Database{[Name="default",Kind="Schema"]}[Data],
prod_parts_atb_yearly_forecast_Table = default_Schema{[Name="prod_parts_atb_yearly_forecast",Kind="Table"]}[Data]
in
prod_parts_atb_yearly_forecast_Table
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Best Regards,
Lucien
Hi,
I am trying to connect to databricks via Direct Query and getting the same error.
Sometimes visuals will take almost 1-2 minutes to refresh and most of the times getting the same issue and this is happening for nearly 3 reports.
Can anyone help on it.
This report is a old one that its PBIX file used be saved on the user PC. Since the beggining this year the report is presenting few buggs. I belived that it has been caused by a Power BI upgrade.
This particular issue was happening when I was trying to refresh on the Power BI Desktop. I fixed the issue downsize the table used on the report.
Thank you guys for so my good ideas.
Hi @Anonymous ,
Has your problem been solved, if so, please consider Accept a correct reply as the solution or share your own solution to help others find it.
Best Regards
Lucien
Hi @Anonymous ,
Do you have the cloud and on-premise data sources configured in the gateway as shown below?
And try to add an additional parameter in the source step. Please have a try.The issue might be related to Databrick's new Cloud Fetch architecture in runtime 8.3 and above. With a cluster runtime of 7.3 the refresh on service worked smoothly for the same dataset. The issue only occurs, when merging on prem with cloud data in PBI power query and using a on prem Enterprise gateway. As 7.3 has end of support in September the fix below worked for clusters running on 10.4.
let
Source = Databricks.Catalogs("*********************", [EnableQueryResultDownload="0"]),
hive_metastore_Database = Source{[Name="hive_metastore",Kind="Database"]}[Data],
default_Schema = hive_metastore_Database{[Name="default",Kind="Schema"]}[Data],
prod_parts_atb_yearly_forecast_Table = default_Schema{[Name="prod_parts_atb_yearly_forecast",Kind="Table"]}[Data]
in
prod_parts_atb_yearly_forecast_Table
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Best Regards,
Lucien
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