Merging data into single record

I have data that looks like this:
id   name_type   name_value
1    first                bob
1    middle          joe
1    last                smith

I want it to look like this:
id   first    middle   last
1    bob    joe          smith

I can't do it with crosstab since you can't aggregate strings.

I created a query that does this:
id   first    middle   last
1    bob    [null]      [null]
1    [null]  joe         [null]
1    [null]  [null]     smith

thinking I could use group by to coalesce them into a single record, but that didn't work.

Not sure what to do unless I try it with Domain functions,
shachoAsked:
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Vitor MontalvãoMSSQL Senior EngineerCommented:
Can you post your code? Maybe it only needs a small change.
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shachoAuthor Commented:
That could take a while.  It's probably faster to just write some SQL based on the mock table above.
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Vitor MontalvãoMSSQL Senior EngineerCommented:
Please check if the following command works:
TRANSFORM First(name_value) AS name_value
 SELECT ID
 FROM YourTableName
 GROUP BY ID
 PIVOT name_type

Open in new window

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shachoAuthor Commented:
Before I try the transform, is there a way to do it based on the intermediate data I created (with the nulls mixed in)?  That would be easier to implement.
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Vitor MontalvãoMSSQL Senior EngineerCommented:
I suggest you to drop that intermediate query since will only make things harder.
Anyway I can only give you an assertive answer if you post here the query that returns that result.
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Jim Dettman (Microsoft MVP/ EE MVE)President / OwnerCommented:
Have a look at the following EE article on DConcat(), a custom function you can use to flatten and concatenate  data:

http://www.experts-exchange.com/Database/MS_Access/A_2380-Domain-Aggregate-for-Concatenating-Values-by-Group-in-Microsoft-Access.html

Jim.
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Pratik MakwanaData AnalystCommented:
Select Distinct id, STUFF((Select ' '+name_value From tablename p1 Where p2.id=P1.id
For XML PATH('')),1,1,'') as [First Middle Last] from tablename p2
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shachoAuthor Commented:
Thanks all for your comments.

Vitor - You were right.  Your SQL can be adapted perfectly for this.  "First" was the missing piece!

Thanks,

Mike
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