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DECLARE CRooms CURSOR FAST_FORWARD FOR SELECT roomid, seats FROM dbo.Rooms ORDER BY seats, roomid; DECLARE CEvents CURSOR FAST_FORWARD FOR SELECT eventid, attendees FROM dbo.Events ORDER BY attendees, eventid; OPEN CRooms; OPEN CEvents; FETCH NEXT FROM CEvents INTO @eventid, @attendees; WHILE @@FETCH_STATUS = 0 BEGIN FETCH NEXT FROM CRooms INTO @roomid, @seats; WHILE @@FETCH_STATUS = 0 AND @seats < @attendees FETCH NEXT FROM CRooms INTO @roomid, @seats; IF @@FETCH_STATUS = 0 INSERT INTO @Result(roomid, eventid) VALUES(@roomid, @eventid); ELSE BEGIN RAISERROR('Not enough rooms for events.', 16, 1); BREAK; END FETCH NEXT FROM CEvents INTO @eventid, @attendees; END CLOSE CRooms; CLOSE CEvents; DEALLOCATE CRooms; DEALLOCATE CEvents; SELECT roomid, eventid FROM @Result;

Additionally, the machine name is passed to the servlet as a parameter if the action is detail or update. The DiagnosticApp servlet makes calls to the other business logic components to process the user s request. Once that processing is complete, the results are put into the request object along with the a reference to the appropriate stylesheet. The XSLTFilter (described in section 6.6.5) performs the XSLT processing and renders the output to the user.

Here s a description of the algorithm as it s implemented with cursors: 1. Declare two cursors, one on the list of rooms (CRooms) sorted by increasing capacity (number of seats), and one on the list of events (CEvents) sorted by increasing number of attendees . 2. Fetch the first (smallest) event from the CEvents cursor .

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8 Cursors Rooms R101 40 R104 40 R203 50 R302 55 R303 55 B102 100 R202 100 B301 600 B201 1000 B101 1500 C001 2000 No Match Match Room Room

3. While the fetch returned an actual event that needs a room: 3.1 Fetch the smallest unrented room from CRooms . If no room was available, or if the room you fetched is too small for the event, fetch the next smallest room from CRooms, and continue fetching as long as you keep fetching actual rooms and they are too small for the event . You will either find a big enough room, or you will run out of rooms without finding one . 3.2 If you did not run out of rooms, and the last fetch yielded a room and the number of seats in that room is smaller than the number of attendees in the current event: 3.2.1 If you found a big enough room, schedule the current event in that room . If you did not, you must have run out of rooms, so generate an error saying that there are not enough rooms to host all the events, and break out of the loop . 3.2.2 Fetch another event . 4. Return the room/event pairs you stored aside .

public class DiagnosticApp extends HttpServlet { ... public void service( ServletRequest req, ServletResponse res ) throws ServletException, IOException {

Notice that you scan both rooms and events in order, never backing up; you merge matching pairs until you either run out of events to find rooms for or you run out of rooms to accommodate events . In the latter case, you run out of rooms, generating an error, because the algorithm used was guaranteed to find a solution if one existed . Next, let s complicate the problem by assuming that even if there aren t enough rooms for all events, you still want to schedule something . This will be the case if you remove rooms with a number of seats greater than 600:

DELETE FROM dbo.Rooms WHERE seats > 600;

Assume you need to come up with a greedy algorithm that finds seats for the highest possible number of attendees (to increase revenue) and for that number of attendees, involves the lowest cost . The algorithm I used for this case is graphically illustrated in Figure 8-7 and implemented with cursors using the following code:

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