![\"image\"](\"https:\/\/www.sqlskills.com\/blogs\/joe\/wp-content\/uploads\/2013\/12\/image_thumb1.png\" "\\"image\\"")
<\/a><\/p>\nWe still have identical estimate vs. actual values for the Clustered Index Scan and Table Scan, and now our over-estimate for the Hash Match is less pronounced (1,140 rows estimated instead of the 1,767 rows previously estimated).<\/p>\n
For the pre-SQL Server 2014 cardinality estimation process, the assumption is that the non-join predicates for the two tables are somehow correlated (in our example, region_no = 2 and payment_dt = ‘1999-09-02 00:00:00.000’).\u00a0 This is called \u201cSimple Containment\u201d. For the new Cardinality Estimator, these non-join predicates are assumed to be independent (called \u201cBase Containment\u201d), and so this can translate into a reduced row estimate for the join.<\/p>\n","protected":false},"excerpt":{"rendered":"
This post is a continuation of the SQL Server 2014 Cardinality Estimator enhancements exploration series: A first look at the query_optimizer_estimate_cardinality XE event \u201cCSelCalcCombineFilters_ExponentialBackoff\u201d Calculator \u201cCSelCalcCombineFilters_ExponentialBackoff\u201d Calculator\u2013 Part II The CSelCalcAscendingKeyFilter Calculator Cardinality Estimation Model Version Comparing Root-Level Skews in the new Cardinality Estimator Using Legacy Methods to Lessen SQL Server 2014 Cardinality Estimator Skews […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[42,28],"tags":[],"class_list":["post-1149","post","type-post","status-publish","format-standard","hentry","category-cardinality-estimation","category-performance"],"yoast_head":"\n
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He has worked as a SQL Server professional since 1997 and has supported and developed for SQL Server environments in financial services, IT consulting, manufacturing, retail and the real estate industry. Prior to joining SQLskills he worked at Microsoft as a Premier Field Engineer supporting very large enterprise customer environments. He was responsible for providing deep SQL Server advisory services, training, troubleshooting and ongoing solutions guidance. His areas of expertise include performance tuning, scalability, T-SQL development and high-availability. In 2006 Joe earned the \u201cMicrosoft Certified Master: SQL Server 2005\u201d certification and in 2008 he earned the \u201cMicrosoft Certified Master: SQL Server 2008\u201d certification. In 2009 he took over responsibility for the entire SQL Server Microsoft Certified Master program and held that post until 2011. 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<\/a><\/p>\n