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Identifying/Updating multiple groups of null values in a table

Hello everyone,

I'm having some trouble with a particular problem and I couldn't find any topics similar to this.  I have the following table:

create table1 (
  surrogate_key bigint identity(1,1),
  category_id int,
  office_id int,
  order_id int,
  product_id int,
  seq_num int,
  date_created datetime

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Table data looks like this:
1  10  1  100  25  1  2012-01-01 12:00:00
2  10  1  100  25  2  2012-01-01 12:00:00
3  null  1  null  25  3  2012-01-03 04:00:00
4  null  1  null  25  4  2012-01-04 02:00:00
5  11  1  101  25  5  2012-01-07 05:00:00
6  null  1 null  25  6  2012-01-08 12:00:00
7  12  2  15  30  1  2012-02-01 12:00:00  
8  null  2  null  30  2  2012-02-02 4:00:00
9  12  2  15  30  3  2012-02-03 01:00:00

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The sequence number column represents the order of individual units of that product_id within that office_id in chronological order of entry.

What I'm trying to do is for rows where the category_id and order_id are missing, I want to fill it in with values from the latest row preceding it, matching on office_id and product_id.  I've been working on this for a while and am stumped on how I can identify those preceding rows to grab the values for an update.  Any help is appreciated.

Microsoft SQL ServerMicrosoft SQL Server 2008Microsoft SQL Server 2005

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Last Comment

8/22/2022 - Mon

Just make a copy so you can test this....

It is fine until you get 2 null lines in sequence, then you need to run it twice...

FROM Table1;

SET t2.Category_id = t1.Category_id,
      t2.Order_id = t1.Order_id

FROM Table1 t1, (Select *
FROM Table1) t2
WHERE t1.Surrogate_key = t2.Surrogate_key -1
AND t1.Product_id = t2.Product_id
AND t1.office_id = t2.office_id
AND t2.Category_id IS NULL AND t2.Order_id IS NULL

FROM Table1;
Harish Varghese

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Harish's code looks good to me.
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