I'm trying to figure out if this is relatively well-performing T-SQL (this is SQL Server 2008). I need to create a stored procedure that updates a table. The proc accepts as many parameters as there are columns in the table, and with the exception of the PK column, they all default to NULL. The body of the procedure looks like this:

CREATE PROCEDURE proc_repo_update 
    @object_id bigint
    ,@object_name varchar(50) = NULL
    ,@object_type char(2) = NULL
    ,@object_weight int = NULL
    ,@owner_id int = NULL
    -- ...etc
AS
BEGIN
    update
        object_repo
    set
        object_name = ISNULL(@object_name, object_name)
        ,object_type = ISNULL(@object_type, object_type)
        ,object_weight = ISNULL(@object_weight, object_weight)
        ,owner_id = ISNULL(@owner_id, owner_id)
        -- ...etc
    where
        object_id = @object_id

    return @@ROWCOUNT

END

So basically:

Update a column only if its corresponding parameter was provided, and leave the rest alone.

This works well enough, but as the ISNULL call will return the value of the column if the received parameter was null, will SQL Server optimize this somehow? This might be a performance bottleneck on the application where the table might be updated heavily (insertion will be uncommon so the performance there is not a problem). So I'm trying to figure out what's the best way to do this. Is there a way to condition the column expressions with something like CASE WHEN or something? The table will be indexed up the wazoo as well for read performance. Is this the best approach? My alternative at this point is to create the UPDATE expression in code (e.g. inline SQL) and execute it against the server. This would solve my doubts about performance, but I'd rather leave this in a stored proc if possible.