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Developing Modifications that Survive Concurrency

You can create a database under the assumption that SQL looks after all the problems of concurrency. It will probably work fine under test conditions: then, in the production environment, it starts losing data in subtle ways that defy repetition. It is every Database Developer's nightmare. In an excerpt from his acclaimed book, Alex Kuznetsov explains why it happens, and how you can avoid such problems.

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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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