Have you ever wanted an easier way to provide security at the record level? If so, you can now easily do this with the Row Level Security feature that is being introduced with SQL Server 2016. Greg Larsen shows you how easy it is to use this new feature as a way to provide user access to a specific set of records.
Have you created a Data Factory in Azure and are wondering how to get it into TFS and source control? This article will show you how.
Every SQL Server Database programmer needs to be familiar with the System Functions. These range from the sublime (such as @@rowcount or @@identity) to the ridiculous (IsNumeric()) Robert Sheldon provides an overview of the most commonly used of them.
Have you ever wanted to run a query across every database on a server with the convenience of a stored procedure? If so, Microsoft provided a stored procedure to do so. It’s unreliable, outdated, and somewhat obfuscated, though. Let’s improve on it!
Sometimes, in the quest for raw SQL performance, you are forced to sacrifice legibility and maintainability of your code, unless you then document your code lavishly. Phil Factor's SQL Speed Phreak challenge produced some memorable code, but can SQL features introduced since then help to produce code that performs as well and is also easy to understand? Kathi Kellenberger investigates.
This new chapter will show you how to work with the SSIS Data Mining Query Transformation Task
Code coverage is a practice that goes hand in hand with automated testing, reporting the percentage of your code that has been exercised during a test run. Ed Elliott and Redgate have partnered to make a code coverage tool available for SQL Server, both free and open source. SQL Cover measures the coverage of your SQL Server stored procedures and functions. It has built-in support for the popular tSQLt unit testing framework, but can also be used alongside any automated testing framework of your choosing. Find out more in this blog post.
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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 TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers