StackOverflow2013

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Id
10237670
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0
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2012-04-19T22:20:19.520
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2012-04-19T22:20:19.520
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10234685
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text
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If you just want counts with your rows you could use the OVER clause to generate them. If NoteType can only be S or M in the table, then passing a NULL and using ISNULL(, ) should get what you want. The code below pulls all notes, all related notes, and the first two columns are overall counts of source rows from each table. I know this is example code, so I won't get all twitchy about the select *. The link at bottom goes over the OVER clause. <pre><code>CREATE PROCEDURE selectRows ( @Date DATETIME , @NoteType VARCHAR(2) -- Pass NULL for both ) AS select count(dbo.notes.noteid) over() as notecount , count(dbo.ExtraNotes.NoteID) over() as extraNoteCount , * from dbo.Notes left join dbo.ExtraNotes on Notes.NoteID = dbo.ExtraNotes.NoteID where NoteDate <= @Date and NoteType = ISNULL(@NoteType, NoteType); </code></pre> You don't necessarily need all of those copies of the counts, so unioning in a header row might be more what you had in mind. The code below pulls all notes and a header row (noteid is null) with only counts: <pre><code>CREATE PROCEDURE selectRows ( @Date DATETIME , @NoteType VARCHAR(2) -- Pass NULL for both ) AS select * , CAST(NULL AS INT) noteCount , CAST(NULL AS INT) extraNoteCount from dbo.Notes left join dbo.ExtraNotes on Notes.NoteID = dbo.ExtraNotes.NoteID where NoteDate <= @Date and NoteType = ISNULL(@NoteType, NoteType) UNION ALL SELECT NULL , NULL -- Repeat for as many columns as are in the select * above , count(dbo.Notes.NoteID) , count(dbo.ExtraNotes.NoteID) from dbo.Notes left join dbo.ExtraNotes on Notes.NoteID = dbo.ExtraNotes.NoteID where NoteDate <= @Date and NoteType = ISNULL(@NoteType, NoteType) </code></pre> ; <a href="http://msdn.microsoft.com/en-us/library/ms189461.aspx" rel="nofollow">http://msdn.microsoft.com/en-us/library/ms189461.aspx</a>
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1. POCannot output correct rows from DB after using an IF statement
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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.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.