Forum Discussion
Update semantic model or Dataflow efficiently
- 7 months ago
Power BI incremental refresh is partition-based, so it can refresh partitions efficiently, but it does not “update individual rows” inside an already-loaded partition.
Use:
RangeStart/RangeEnd on a DateTime column (must fold)
optionally Detect data changes using a separate “LastModifiedDateTime” column so only affected partitions refresh
But remember, updates are handled by refreshing the whole partition, not row-by-row upserts.
The duplicate value problem probaly happens because of Range Start/End parameters wrong usage. Example filtering should be like below:
= Table.SelectRows( Source, each [LastModifiedDateTime] >= RangeStart and [LastModifiedDateTime] < RangeEnd )
Power BI incremental refresh is partition-based, so it can refresh partitions efficiently, but it does not “update individual rows” inside an already-loaded partition.
Use:
RangeStart/RangeEnd on a DateTime column (must fold)
optionally Detect data changes using a separate “LastModifiedDateTime” column so only affected partitions refresh
But remember, updates are handled by refreshing the whole partition, not row-by-row upserts.
The duplicate value problem probaly happens because of Range Start/End parameters wrong usage. Example filtering should be like below:
= Table.SelectRows(
Source,
each [LastModifiedDateTime] >= RangeStart
and [LastModifiedDateTime] < RangeEnd
)