Does the New Cardinality Estimator Reduce Bad Parameter Sniffing

SQL Server 2014, TSQL
No. Next question. Although, that answer can be slightly, ever so slightly, nuanced... Parameter sniffing is a good thing. But, like a good wine, parameter sniffing can go bad. It always comes down to your statistics. A very accurate set of statistics with very little data skew (some values that have radically more/less data than other values) and a very even distribution (most values have approximately similar cardinality), and parameter sniffing is your bestest buddy on the planet (next to a tested backup). But, introduce some data skew, let the stats get wildly out of date, or suffer from seriously uneven distribution, and suddenly your best friend is doing unspeakable things to your performance (kind of like multi-statement table valued user defined functions). SQL Server 2014 has the first upgrade…
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SQL Server 2014 and the New Cardinality Estimator

SQL Server 2014
Cardinality, basically the number of rows being processed by an operation with the optimizer, is a calculation predicated on the statistics available for the columns in question. The statistics used are generally either the values from the histogram or the density. Prior to SQL Server 2014, and going all the way back to SQL Server 7.0 (in the Dark Ages when we had to walk uphill to our cubicles through 15 feet of snow battling Oracle DBAs and Fenris the whole way), there's been one cardinality estimator (although you can modify the behavior somewhat with a traceflag in 2008R2 and 2012). Not any more. There's a possibility for really complex, edge-case queries, that you may run into a regression from this. You control whether or not you get the new…
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