Editor's Note: This article has been removed.
It has been brought to our attention that large portions of this article were plagiarized from Itzik Ben-Gan's Microsoft SQL Server 2012 HIgh-Performance T-SQL Using Window Functions.
We apologize to Mr. Ben Gan for the oversight.
We do encourage you to purchase his book if you are interested in Window functions and how they can be used in T-SQL to improve your code readability and performance.
An article about tally tables, N-Grams and the fastest character-level N-Grams function available today for SQL Server.
2018-11-22 (first published: 2016-06-23)
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Having a solid knowledge of the window functions if vital to high performance T-SQL Code. The key to these functions is how the OVER clause is used. This article will dive into how to use the OVER clause.
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Window Functions in SQL greatly simplify a whole range of financial and statistical aggregations on sets of data. Because there is less SQL on the page, it is easy to assume that the performance is better too: but is it? Dwain gets out the test harness to investigate.
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SQL's windowing functions are surprisingly versatile, and allow us to cut out all those self-joins and explicit cursors. Joe Celko explains how they are used, and shows a few tricks such as calculating deltas in a time series, and filling in gaps.
2013-11-14
7,422 reads
Before the SQL Window functions were implemented, it was tricky to calculate rolling totals or moving averages efficiently in SQL Server. There are now a number of techniques, but which has the best performance? Dwain Camps gets out the metaphorical stopwatch.
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4,628 reads
