Refresh of 238 Gb Oracle db Fails

[martijnth]

can I ask for your help? We have a 238 Gb Oracle db, that we loaded in Pbi Desktop (2mb file size). The load took around 4 hours, then we published to Service environment with Incremental refresh. The publishing was successful, however, we are not able to refresh. We set max refresh time out to 6 hours. The following response is coming from the system:

Scheduled 9/26/2019, 10:32:43 AM 9/26/2019, 3:33:00 PM Failed Before the data import for finished, its data source timed out. Double-check whether that data source can process import queries, and if it can, try again.

Cluster URI: WABI-SOUTH-EAST-ASIA-redirect.analysis.windows.net
Activity ID: 71f76d66-5f2a-43b4-8657-ee6d951ddf6d
Request ID: 020df484-589c-4722-8665-abe617146115
Time: 2019-09-26 13:33:00Z

Not sure if the Oracle connection handles SQL code, we tried /* Select Top (100), from Db. ...... this code did not work

We can still refresh on desktop, and publish again the latest data, however, we want to automate this. Please advise

[v-lid-msft]

Hi @martijnth ,

According to this document, Scheduled refresh for imported datasets timeout after two hours. This timeout is increased to five hours for datasets in Premium workspaces. So could you please check the following things?

1. The connection status of gateway.

2. The Configure of Incremental refresh in Power BI Service, please refer to this document: https://docs.microsoft.com/en-us/power-bi/service-premium-incremental-refresh

3. How much time will refresh take in Power BI Desktop after you configure Incremental refresh?

Best regards,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[martijnth]

Hi Thx for your reply,

1), live and running

2), set correctly (running more report with Inc.refr. but not as large)

3). 4 hours

reg.

[v-lid-msft]

Hi @martijnth ,

According to your addition information, We think your refresh time is too long to reach the limitation of 5 hours, Although the refresh in desktop occour 4 hours, but the refresh in Power BI Service may take more time due to some reason such as network performancee. We think you can try to test decrease the refresh range, check the M query and data model to find out the reason why refresh take so much time.

Best regards,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[martijnth]

Hi and thx for your quick reply, not sure what you mean with :

'check the M query and data model '

could you  explain bit more?