2016-01-07
1,691 reads
2016-01-07
1,691 reads
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.
2013-11-01
4,628 reads
A SQL expression may look elegant on the page but it is only valuable if its performance is good. Do window functions run quicker than their conventional equivalent code? Fabiano Amorim gives a definitive answer.
2012-01-17
4,074 reads
Fabiano Amorim continues his introduction to SQL Server's implementation of the window functions by giving a history of what got implemented and when, and explaining the concept of the 'Frame' in a window function, with plenty of examples.
2011-12-23
3,169 reads
By Steve Jones
I haven’t done one of these in awhile, but I saw an article recently...
In last months one of the scenarios where you can use AI has been...
By ChrisJenkins
Do you spend so long manipulating your data into something vaguely useful that you...
Comments posted to this topic are about the item Creating JSON II
Comments posted to this topic are about the item Engineer Lessons
On SQL Server 2025, what happens when I run this code:
SELECT JSON_OBJECTAGG( N'City':N'Denver' RETURNING JSON) GOSee possible answers