Implied Predicate and Partition Elimination
Erik Darling's delighted to see that SQL Server does some creative partition elimination.
Erik Darling's delighted to see that SQL Server does some creative partition elimination.
Steve Jones wonders how things might be different is developers were treated more like salespeople with quotas.
Azure SQL Database’s Dynamic Data Masking (DDM) feature limits the exposure of sensitive information to non-privileged users. DDM can mask either the full value or partial value in a column. This method can also mask Social Security and Credit Card Numbers without making any changes to the application.
Anytime we adopt a new technology, framework, platform, language, etc., we will pay a tax in development output.
SQL Server produces some great features, but it would be impossible to get them spot-on target every time. We are now quietly advised to use caution about using some of them, such as AutoShrink or the Index Advisor. Others, like the database diagramming tool, almost seem to have been quietly abandoned. Robert Sheldon investigates.
Rick Dobson demonstrate a clean end-to-end solution for importing historical stock ticker prices from Yahoo Finance into a SQL Server table using Python.
Script provided to create missing extended properties allowing you to auto generate your database documentation.
By Vinay Thakur
In previous posts, we looked at the SQL Server engine. for us DBAs, the...
By Arun Sirpal
You have used Claude. But which Claude? The Claude app (claude.ai, the desktop and...
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This month we have a new host, Meagan Longoria, who graciously agreed to help...
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT YearEstablished, json_objectagg(city : TeamName) FROM dbo.NFLTeams GROUP BY YearEstablished;See possible answers