Incremental refresh settings clarification

[Anonymous]

I want to get a clear understanding of the Refresh rows from the past field.

Is this the correct interpretation of my setting:

• keep the past 10 years data
• look for the rows created in the past 1 year
  • of the past 1 year data, refresh rows where updated column changed

If this is correct, then any row created older than 1 year ago won't be refreshed even if updated recently?

Then I'd have to set the Refresh rows from the past value to be equal to Store rows from the past?

Thanks

[lbendlin · Accepted solution]

Is this the correct interpretation of my setting:

keep the past 10 years data
look for the rows created in the past 1 year
of the past 1 year data, refresh rows where updated column changed

Not exactly.  What is actually means is

- keep 8 or 9 static (cold) yearly partitions

- no warm partitions (as there is no granularity difference)

- 1 or 2 hot yearly partitions. 2023 will be refreshed as long as parts of it are still "within one calendar year from today".  NOTE:  Incremental refresh only works with regular calendar boundaries

"Detect Data Changes"  will incur additional storage cost as your partitions will be canaried (duplicated) so the Power BI service can decide when to update them.  Not recommended.

"Only refresh complete years"  will exclude the current year from refresh. Not sure why you would want that.

Advanced incremental refresh and real-time data with the XMLA endpoint in Power BI - Power BI | Micr...