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Optimize Your SQL by Reformulating the Spec

  • Article

As SQL developers, we tend to think of performance tuning in terms of crafting the best table indices, avoiding scalar and table valued functions, and analyzing query plans (among other things). But sometimes going back to the spec and applying some properties of elementary math can be the best way to begin to improve performance of SQL queries which implement mathematical formulas. This article is a case study of how I used this technique to optimize my SQL implementation of the Inverse Simpson Index.

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2021-05-07 (first published: )

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Question of the Day

The Funny SELECTs

What is returned from this query?

SELECT
  ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate >= '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2011
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate >= '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2012
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate >= '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2013;

See possible answers