If your SQL Server has multiple CPUs, and you have not changed the default setting in SQL Server to limit SQL Server's ability to use all of the CPUs in the server, then the query optimizer will consider using parallelism to execute some queries. Parallelism refers to the ability to execute a query on more than one CPU at the same time. In many cases, a query that runs on multiple processors is faster than a query that only runs on a single processor, but not always.
The Query Optimizer will not always use parallelism, even though it potentially can. This is because the Query Optimizer takes a variety of different things into consideration before it decides to use parallelism. For example, how many active concurrent connections are there, how busy is the CPU, is there enough available memory to run parallel queries, how many rows are being processed, and what is the type of query being run? Once the Query Optimizer collects all the facts, then it decides if parallelism is best for this particular run of the query. You may find that one time a query runs without parallelism, but later, the same query runs again, but this time, parallelism is used.
In some cases, the overhead of using multiple processors is greater than the resource savings of using them. While the query processor does try to weigh the pros and cons of using a parallel query, it doesn't always guess correctly.
If you suspect that parallelism might be hurting the performance of a particular query, you can turn off parallelism for this particular query by using the OPTION (MAXDOP 1) hint.
The only way to know for sure is to test the query both ways, and see what happens. [7.0, 2000, 2005]
Performance of the SQL MERGE vs. INSERT/UPDATE
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MERGE is designed to apply both UPDATE and INSERTs into a target table from
a source table. The statement can do both at once, or simply do INSERTs or
on...
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