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The security model for a column set works similar to the security model that exists between table and columns.

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found the solutions...actually if the tables lie in different dbs then create temp table in db X that contain the data of table B from db Y this way our both tables now in same db as X now simply we can update from one table to another as usual Varinder Sandhu, found the solutions...actually if the tables lie in different dbs then create temp table in db X that contain the data of table B from db Y this way our both tables now in same db as X now simply we can update from one table to another as usual found the solutions...actually if the tables lie in different dbs then create temp table in db X that contain the data of table B from db Y this way our both tables now in same db as X now simply we can update from one table to another as usual hi 999baz,it depends, doing this update you will lock a big chunk of data.

First of all you must test it, use your development DB and test with 10000 rows, 100000 rows, or yours 2500000 rows, and estimate the time needed to complete the task.

You should consider using column sets when the number of columns in a table is large, and operating on them individually is cumbersome.

Data manipulation of a sparse column can be performed by using the name of the individual columns, or by referencing the name of the column set and specifying the values of the column set by using the XML format of the column set.

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UPDATE C SET column1 = A.column1 ,column2 = B.column2 ,column3 = A.column1 B.column2 FROM A JOIN B ON = -- ???

Tables that use sparse columns can designate a column set to return all sparse columns in the table.

Column sets can be visualized as a minitable and a select operation is like a SELECT * operation on this minitable.