I cannot speak to what the Questioner is asking for here because it doesn't make any sense.
So let's assume a different problem:
Let's say, instead, that I have a Heap-Table with no Identity-Field, but it does have a "Visited" Date field.
The Heap-Table logs Person WebPage Visits and I'm loading it into my Data Warehouse.
In this Data Warehouse I'd like to use the Surrogate-Key "WebHitID" to reference these relationships.
Let's use Merge to do the initial load of the table, then continue calling it to keep the tables in sync.
I know that if I'm inserting records into an table, then I'd prefer the ID's (that are being generated by an Identify-Field) to be sequential based on whatever Order-By I choose (let's say the "Visited" Date).
It is not uncommon to expect an Integer-ID to correlate to when it was created relative to the rest of the records in the table.
I know this is not always 100% the case, but humor me for a moment.
This is possible with Merge.
Using (what feels like a hack) TOP will allow for Sorting in our Insert:
MERGE DW.dbo.WebHit AS Target --This table as an Identity Field called WebHitID.
USING
(
SELECT TOP 9223372036854775807 --Biggest BigInt (to be safe).
PWV.PersonID, PWV.WebPageID, PWV.Visited
FROM ProdDB.dbo.Person_WebPage_Visit AS PWV
ORDER BY PWV.Visited --Works only with TOP when inside a MERGE statement.
) AS Source
ON Source.PersonID = Target.PersonID
AND Source.WebPageID = Target.WebPageID
AND Source.Visited = Target.Visited
WHEN NOT MATCHED BY Target THEN --Not in Target-Table, but in Source-Table.
INSERT (PersonID, WebPageID, Visited) --This Insert populates our WebHitID.
VALUES (Source.PersonID, Source.WebPageID, Source.Visited)
WHEN NOT MATCHED BY Source THEN --In Target-Table, but not in Source-Table.
DELETE --In case our WebHit log in Prod is archived/trimmed to save space.
;
You can see I opted to use TOP 9223372036854775807 (the biggest Integer there is) to pull everything.
If you have the resources to merge more than that, then you should be chunking it out.
While this screams "hacky workaround" to me, it should get you where you need to go.
I have tested this on a small sample set and verified it works.
I have not studied the performance impact of it on larger complex sets of data though, so YMMV with and without the TOP.