"you will never have to write a line of code with SSIS." yeah, MS never lies!
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SSIS upsert in incremental data warehouse load
I have what I believe shoud be a typical ETL problem. I am incrementally loading a data warehouse. My load data is approximately 100K rows and is an SSIS in memory object at the point I want to load it. My base (Fact) table is 45,000K rows.
My problem is my load data contains both inserts and updates - so I need to upsert it. My question is what is the best way to approach.
I have tried an SSIS lookup on the base table - but I observe SSIS cachiing the data up until it reaches 12 million rows - at which point the package crashes.
I have considered an SSIS merge - but the documentation I am reading tells me this is to merge in memory objects, not one in memory object into an existing table. (And per the above - 45 million rows in memory does not appear to be a good idea.)
I have considered defining a real load table, and upserting using T-SQL - but that violates the premise "you will never have to write a line of code with SSIS." (Not that Microsoft has never lied to us before.)
If anyone has some solid guidence on how to approach this, I would appreciate it. Please be as specific as possible.
Thanks in advance.
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by: CGLuttrellPosted on 2009-11-05 at 11:25:20ID: 25752952
We addressed something like this on this question, http://www.experts-exchang
can you structure it into 2 pieces where you update existing rows and then insert the new ones? That might eliminate the caching problem.