An adventure on SQL Server performance and features

TagDOP

How to avoid the traps when dealing with parallelism

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I work with a vendor application which needs to do all sorts of data crunching in some nightly batches, and, depending on the size of data, this process may take a lot of time. Some time a go a colleague said: “we need more parallelism, we want to parallelize all the things! What can you think may go wrong?” This opened a stream of consciousness that could be really handled only by...

An adventure on SQL Server performance and features

Emanuele Meazzo

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