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    <p>With respect to your question about concurrency, your application should be designed to keep connections to the database open as short as possible. Each action on the database should involve: open connection, act on the database, close the connection rather than: open connection, do a bunch of work that may or may not be related to getting/updating/inserting data and then at "the end" close the connection.</p> <p>Now, with respect to application concurrency, you end up with two scenarios. In scenario one, which I'll call "last write wins", whatever connection writes to a given row last is the version of the data that gets stored. If Alice then Bob write to the Name column on the same row at the same time, Bob's version will be what is stored. This is by far the simplest but if you might have a lot of people updating the same data, it might be problematic.</p> <p>An alternative is "first write wins" also called Optimistic Concurrency. In this scenario, the second call checks that the data has not changed since it was last retrieved and if it has, then its transaction is rolled back. What happens next depends on your application. Some systems simply throw an error and require the user to re-enter their information (discarding their original change). This is obviously easier to implement. Some applications tell the user that the data has changed and provide some information about what is different and ask whether they want to overwrite this change. That can be more complicated depending on the architecture of your system.</p> <p>See <a href="http://msdn.microsoft.com/en-us/library/aa0416cz%28VS.71%29.aspx" rel="nofollow noreferrer">Optimistic Concurrency</a> for more. </p>
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A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

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