2019-12-03
1,179 reads
2019-12-03
1,179 reads
This script converts hierarchical adjacency into nested json rows which contain the recursive "downlines" of each node. The table-valued function treats each row in the original adjacency as the root node in a recursive common table expression.
2019-11-25 (first published: 2019-11-24)
781 reads
2019-11-15
675 reads
2019-11-12
904 reads
Introduction Recently, I had the task of analyzing a varchar field for special characters. The field contained text entered by the user with a standard US keyboard; however, the proprietary software was breaking up the text and delimiting it with characters whose ASCII values were above 127. Eyeballing the text that I dumped using a […]
2021-01-15 (first published: 2019-11-12)
8,662 reads
This script converts hierarchical adjacency into nested json rows which contain the recursive "downlines" of each node. The table-valued function treats each row in the original adjacency as the root node in a recursive common table expression.
2019-11-12 (first published: 2019-11-08)
2,064 reads
2019-11-08
1,140 reads
2019-11-07
967 reads
2019-11-05
730 reads
In this article, Kathi Kellenberger takes on a logic puzzle in trying to understand how the windowing function, PERCENTILE_CONT, works.
2019-11-04
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...
By Steve Jones
It was neat to stumble on this in the book, a piece by me,...
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