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When SQL Server Performance Goes Bad: Implicit Conversions

When you're developing a database, the pressure is on to get something that works, using an efficient algorithm. When you are getting close to a release candidate, however, there are some programming habits that must be removed from the code, because they can cause unexpected performance problems. In this article, you'll learn how to detect and remove one such problem: reliance on implicit datatype conversions in your queries. We'll use a combination of plan cache queries, extended events, and SQL Monitor.

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Creating a JSON Document IV

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Question of the Day

Creating a JSON Document IV

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 
  YearEstablished,
  json_objectagg(city : TeamName)
FROM dbo.NFLTeams
GROUP BY  YearEstablished;

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