challenging SQL grouping

I have a query:

select  event_type, 
    department_name,
    effective_time,
    row_number() OVER (PARTITION BY event_type,department_name ORDER BY effective_time) row
from    a
order by effective_time

It returns a row set:

event_type  department_name effective_time
3   A   02/10/09 13:12:00
3   B   02/10/09 15:44:00
3   B   02/10/09 20:36:00
7   C   04/01/09 00:01:00
7   D   04/10/09 00:01:00
7   D   04/20/09 00:01:00
7   E   04/20/09 00:01:00
7   F   04/23/09 09:32:00
7   F   05/15/09 12:21:00
7   G   05/15/09 12:21:00
7   H   05/15/09 12:21:00
1   H   07/28/09 08:51:00
1   G   07/28/09 08:51:00
1   F   07/28/09 10:40:00
1   F   07/28/09 12:34:00
1   H   07/28/09 12:34:00
1   G   07/28/09 12:34:00
1   D   07/29/09 10:45:00
1   D   07/29/09 12:48:00
1   G   07/31/09 13:47:00
1   F   07/31/09 13:47:00
1   D   08/03/09 00:01:00
3   B   08/03/09 10:39:00

I need the row set to look like:

event_type  department_name effective_time
3   A   02/10/09 13:12:00
3   B   02/10/09 15:44:00
7   C   04/01/09 00:01:00
7   D   04/10/09 00:01:00
7   E   04/20/09 00:01:00
7   F   04/23/09 09:32:00
7   G   05/15/09 12:21:00
7   H   05/15/09 12:21:00
1   H   07/28/09 08:51:00
1开发者_StackOverflow社区   G   07/28/09 08:51:00
1   F   07/28/09 10:40:00
1   H   07/28/09 12:34:00
1   G   07/28/09 12:34:00
1   D   07/29/09 10:45:00
1   G   07/31/09 13:47:00
1   F   07/31/09 13:47:00
1   D   08/03/09 00:01:00
3   B   08/03/09 10:39:00

Essentially, removing the second (or more) occurrence of a given event_type and department_name in the group.

I was hoping to use the row_number to solve this problem, by eliminating all row # > 1.

Unfortunately, as written, the row_number() function fails to reset the row counter after a change in event_type and department_name.

Questions:

1. Can the row_number() calculation be adjusted?
2. Is there another approach that would work more efficiently?
3. Can this be done without programmatic intervention (i.e. stored procedure or UDF)?

Thanks for your assistance.

---

Right, after reading your comment I think I understand. One approach would be to number the rows in a subquery based an effective_time. With the numbers it's easy to search for the previous row. Then you can filter out "repeat" rows by saying each row must be different from its predecessor.

Here's an example query:

;with numbered as (
    SELECT event_type, department_name, effective_time,
           row_number() OVER (ORDER BY effective_time) row
    FROM a
)
SELECT    cur.event_type, cur.department_name, cur.effective_time
FROM      numbered cur
LEFT JOIN numbered prev ON cur.row = prev.row + 1
WHERE     cur.row = 1
          or prev.event_type <> cur.event_type
          or prev.department_name <> cur.department_name
ORDER BY  cur.effective_time

By the way, if you like tested answers, post the example data as text and not as a jpg image :)

---

Try this:

SELECT event_type, 
    department_name,
    MIN(effective_time)
FROM    a
GROUP BY event_type, 
    department_name
ORDER BY effective_time

---

select  event_type, 
    department_name,
    min(effective_time) as effTime,
from    a
group by event_type, department_name
order by effective_time

Does this help at all?

---

You can do a group by event_type, department_name. The only thing is date you will have to add that to an aggregate like min(date) or the group by does not makes sense.

select  event_type, 
    department_name,
    convert(varchar, effective_time, 1) as date

from    a
group by event_type, department_name, convert(varchar, effective_time, 1)
order by effective_time