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Posted Friday, April 9, 2010 10:02 PM


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Baskar B.V (4/9/2010)
Forgot to mention in the previous post.

The total records which would get updated would be around 10 million records.


My recommendation is that you split that up into batches of about 2 million rows or less. Every system has a "tipping point" depending on a whole bunch of unpredictable factors. Depending on where the tipping point of your system is, it may only take 6-12 seconds to update 2 million rows but may take 10 hours to update 10 million rows in a single query.


--Jeff Moden
"RBAR is pronounced "ree-bar" and is a "Modenism" for "Row-By-Agonizing-Row".

First step towards the paradigm shift of writing Set Based code:
Stop thinking about what you want to do to a row... think, instead, of what you want to do to a column."

(play on words) "Just because you CAN do something in T-SQL, doesn't mean you SHOULDN'T." --22 Aug 2013

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