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2013-07-19T11:16:55.640
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2013-07-19T15:22:28.713
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2013-07-19T15:22:28.713
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<p>if all the other columns are always null, you can use this view like this with good performance:</p> <pre><code>CREATE VIEW v_yourview as SELECT id, row, min(customer) over (partition by id) customer, min(project) over (partition by id) project, min(plant) over (partition by id) plant, sheetname from myInputTable </code></pre> <p>If you want to update all rows. Since there are no timestamp nor Unique ID in your data, I faked it by adding a temporary row_number: (I believe you made an error in your fiddle, I tried to correct it)</p> <pre><code>CREATE TABLE #myInputTable ( id int, row int, customer varchar(30), project varchar(30), plant varchar(30), sheetname varchar(30), comment varchar(30) ); INSERT INTO #myInputTable (id, row, customer,project,plant, sheetname,comment) VALUES (1,1, 'Customer Name', 'Project Name', 'Plant Name', 'sheet 1','comment 1') , (1,1,NULL ,NULL ,NULL , 'sheet 2',Null) ,(1,1,NULL ,NULL ,NULL , 'sheet 3',Null) ,(1,2,NULL ,NULL ,NULL , 'sheet 2','comment 2') ,(1,2,NULL ,NULL ,NULL , 'sheet 3',Null) -- I changed value for ID from 1 to 2 in next line ,(2,1, 'Customer Name 2', 'Project Name', 'Plant Name', 'sheet 1', 'new comment') , (2,1,NULL ,NULL ,NULL , 'sheet 2',Null) ,(2,1,NULL ,NULL ,NULL , 'sheet 3',Null) ,(2,2,NULL ,NULL ,NULL , 'sheet 2',Null) ,(2,2,NULL ,NULL ,NULL , 'sheet 3',Null) ;with t1 as ( select *, row_number() over (order by id) rn from #myInputTable ) update t1 set customer = t2.customer, project = t2.project, plant = t2.plant, comment = t3.comment from t1 join #myInputTable t2 on t2.customer is not null and t1.id = t2.id cross apply(select top 1 comment from t1 t where rn <= t1.rn and comment is not null order by rn desc) t3 where t1.customer is null select * from #myInputTable </code></pre>
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1. This table or related slice is empty.
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1. POcopy/update records of certain columns of one row to all other rows of the same table based on ID
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1. PTAnswer
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1. USt-clausen.dk
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1. USt-clausen.dk
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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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