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Hello Experts,
I have configured my data set for incremental refresh as the following manner. I have 2 main tables and 2-3 refrenced tables. Main tables having date time with refrenced tables having month column. I want to refresh data for last 9 months and after that I want to refresh only daily data.
1. Do I need 2 seprate coulumns for (Rangestart, RangeEnd) and maximum datetime column in incremental refresh setup?
On service, I am getting useless data. Cards are showing infinity, trends are getting doubled for some dates.
Thanks in advance
Solved! Go to Solution.
@v-shex-msft Thank you so much. I found the issue. Issue is related to query folding. When I change type of any column query folding doesn't apply and due to this incremental refresh is not working.
Does incremental refresh works with mysql database import mode ? As I don't get view native query option with this.
Hey @Minakshi ,
no, you filter the same column with the desired range.
Be sure that you set the filter of the data column properly ("is after or equal" and "if before"):
Then the refresh should work.
Also check the documentation, it's pretty well described:
Incremental refresh in Power BI - Power BI | Microsoft Docs
@selimovd I want data to be refreshed for last 9 months. In my RangeStart (3/1/2021) and RangeEnd(5/1/2021) . Data is coming correct with March and April. For remaining months cards go blank.
can you help me with this.
HI @Minakshi,
>>Data is coming correct with March and April. For remaining months cards go blank.
I'm not so clear about your description, can you please explain more about these? Did you mean the refresh not affect some of the report contents?
How to Get Your Question Answered Quickly
Regards,
Xiaoxin Sheng
@v-shex-msft Thank you so much. I found the issue. Issue is related to query folding. When I change type of any column query folding doesn't apply and due to this incremental refresh is not working.
HI @Minakshi,
I'm glad to hear you find the root causing and share it here.🙂
I think they will help others who faced the same scenario.
Regards,
Xiaoxin Sheng
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