Forum Discussion
Incremental Refresh Dataset Showing Different Results in Power BI Service vs Desktop
- 4 months ago
manoj_0911
Some times power service Bi refresh the data outside the defined windows this can be considered as partition corruption.
The first thing i will doCheck whether the missing rows are outside the refresh window
This is the first thing I would test.
Run:
SELECT
CAST(UPDATE_DATETIME AS DATE) AS UpdateDate,
SUM(TOTAL_CALLS) AS Calls
FROM dbo.YourView "add your view name"
GROUP BY CAST(UPDATE_DATETIME AS DATE)
ORDER BY UpdateDate
Then compare this with your Power BI service data, if discrepancy comes outside 04 days, then issue is certainly stale history partition.
Second option most of the developers do they dlete the dataset and republish the model again.
This option looks awakward but most of the times it is very effective.
The common causes of this problem- Stale historical partitions that are no longer being refreshed.
- UPDATE_DATETIME not changing when source records are modified.
- A partition that contains duplicated rows due to historical refresh behavior.
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manoj_0911
Some times power service Bi refresh the data outside the defined windows this can be considered as partition corruption.
The first thing i will do
Check whether the missing rows are outside the refresh window
This is the first thing I would test.
Run:
SELECT
CAST(UPDATE_DATETIME AS DATE) AS UpdateDate,
SUM(TOTAL_CALLS) AS Calls
FROM dbo.YourView "add your view name"
GROUP BY CAST(UPDATE_DATETIME AS DATE)
ORDER BY UpdateDate
Then compare this with your Power BI service data, if discrepancy comes outside 04 days, then issue is certainly stale history partition.
Second option most of the developers do they dlete the dataset and republish the model again.
This option looks awakward but most of the times it is very effective.
The common causes of this problem
- Stale historical partitions that are no longer being refreshed.
- UPDATE_DATETIME not changing when source records are modified.
- A partition that contains duplicated rows due to historical refresh behavior.
If this helps, ✓ Mark as Kudos | Help Others