SQL Window Functions Series: LAG() and LEAD()
Dive deep into the powerful SQL window functions, LAG() and LEAD(). Explore their intricacies, discover real-world examples, and avoid common pitfalls.
2023-12-11
10,285 reads
Dive deep into the powerful SQL window functions, LAG() and LEAD(). Explore their intricacies, discover real-world examples, and avoid common pitfalls.
2023-12-11
10,285 reads
2023-11-27
6,177 reads
This article will explain why and how you can easily move tables to new schemas if the need arisees.
2024-10-31 (first published: 2023-11-03)
3,749 reads
tl;dr The title says it all. Prologue One of the keys to my personal learning is that, very early in my database career, I taught myself how to make lot’s of rows of Random Constrained Data in a comparatively short time. With the help of a few good folks over time, the method has been […]
2023-09-18
3,952 reads
In this tutorial, we will show different ways to output different currency formats with the T-SQL language.
2023-08-28
In this article, we look at a sample use case of how you can create SQLCMD batch files that can be interactive and reused in different SQL Server environments.
2023-07-14
SQL Server provides lots of information about various aspects of server and database objects and this data is referred to as metadata. Understanding what is available and how to use this metadata can greatly enhance and streamline how you can work with SQL Server.
2023-07-07
This article will show you how to page through a set of results using the OFFSET and FETCH options of the ORDER BY clause.
2023-06-28
Learn how to replace text in SQL Server strings using the REPLACE and TRANSLATE functions and how these could be used for data manipulation.
2023-05-19
I often perform code reviews and thought it would be fun to frame this exercise: a completely fictitious stored procedure hits my desk, I’ll reject it of course, and enumerate the reasons why.
2023-05-10
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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