Unpivoting Multiple Sets of Columns in SQL Server using CROSS APPLY
Learn how to unpivot data or sets of data with SQL Server queries using CROSS APPLY.
2023-11-24
Learn how to unpivot data or sets of data with SQL Server queries using CROSS APPLY.
2023-11-24
2023-07-21
467 reads
2023-07-14
479 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)
754 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)
2,039 reads
2015-10-15
1,762 reads
2012-10-01
2,497 reads
The second of a series by Paul White examining the APPLY operator. In this section learn how this operator compares with joins and about both the cross and outer options.
2012-01-13 (first published: 2010-04-19)
28,500 reads
The first of a two-part series of articles examining the APPLY operator. Learn the basics of how this operator works and how it can help you solve some tricky problems.
2012-01-06 (first published: 2010-04-12)
50,696 reads
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For the Question of the day, I am going to go deep, but try to be more clear, as I feel like I didn't give enough info last time, leading folks to guess the wrong answer... :) For today's question: You’re troubleshooting a performance issue on a critical stored procedure. You notice that a previously efficient query now performs a full table scan instead of an index seek. Upon investigating, you find that an NVARCHAR parameter is being compared to a VARCHAR column in the WHERE clause. What is the most likely cause of the query plan regression?
See possible answers