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How Filters and Sorting can Derail SQL Pagination Performance

In my previous tip, Pagination Performance in SQL Server, I showed how to make SQL pagination more predictable – turning O(n) into O(1). I materialized and cached row numbers to page through instead of calculating them on every request. It wasn’t the whole story, though; real pagination queries rarely get to sort without filtering. Users always want more control, and filtering can threaten that predictability.

Technical Article

Level 28: DAX Text Functions: The DAX Extract & Modify Functions: LEFT(), RIGHT(), MID(), REPLACE(), SUBSTITUTE()

Business Intelligence Architect, Data Analyst, CPA, and author Bill Pearson introduces a subseries surrounding the DAX Text Functions, including LEFT(), RIGHT(), MID(), REPLACE(), and SUBSTITUTE() and breaks out the operational groups of functions involved. Next, he introduces the “Extract and Modify” group of text functions as the focus of this Level. Finally, he identifies and examines each functional member of the “Extract and Modify

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Question of the Day

Creating a JSON Document III

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      1960
If I run this code, how many rows are returned?
SELECT TOP 2 
  json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;

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