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has to do with the way I measured. The simulation would snapshot the single session s of interest s statistics. Next, I would run the big query in the single session of interest and then snapshot that session s statistics again. Finally, I would measure how much PGA was used by the system. By the time I measured, the single session of interest would have already completed and given back some of the PGA it was using to sort. So, the number for PGA used by the system is an accurate measurement of the system s PGA memory at the time it was measured.

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EVENT TOTAL_WAITS TIME_WAITED -----------------------------------------------------------------db file sequential read 35051309 15965640 latch free 1373973 1913357 db file scattered read 2958367 1840810 enqueue 2837 370871 buffer busy waits 444743 252664 log file parallel write 146221 123435 SQL> The preceding query shows that waits due to the db file scattered read wait event account for most of the waits in this instance The db file sequential read wait event, as you ll learn shortly, is caused by full table scans It s somewhat confusing in the beginning when you re trying to use all the wait-related V$ views, which all look similar Here s a quick summary of how you go about using the key wait-related Oracle Database 10g dynamic performance views First, look at the V$SYSTEM_EVENT view and rank the top wait events by the total amount of time waited, as well as the average wait time for that event.

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As you can see, when I had few active sessions, my sorts were performed entirely in memory. For an active session count of 1 to somewhere less than 50, I was allowed to sort entirely in memory. However, by the time I got 50 users logged in, actively sorting, the database started reining in the amount of memory I was allowed to use at a time. It took a couple of minutes before the amount of PGA being used fell back within acceptable limits (the 256MB request), but it eventually did. The amount of PGA memory allocated to the session dropped from 7.5MB to 4MB to 3.2MB, and eventually down to the area of 1.7 to 1.3MB (remember, parts of that PGA are not for sorting, but are for other operations just the act of logging in created a .5MB PGA). The total PGA in use by the system remained within tolerable limits until somewhere around 300 to 351 users. There I started to exceed on a regular basis the PGA_AGGREGATE_ TARGET and continued to do so until the end of the test. I gave the database instance in this case an impossible task the very act of having 350 users, most executing a PL/SQL, plus the

procedure TReceiver.DoRun; var Payload: String; begin Payload := WaitForNotifications; if (Payload <> '') then HandleEvent(Payload); Sleep(10); end; function TReceiver.WaitForNotifications : String; var Buffer: Pointer; BufferSize, BytesRead: Cardinal; begin Result := ''; if not PeekNamedPipe(NotificationPipe, nil, 0, nil, @BufferSize, nil) then Exit; if (BufferSize = 0) then Exit; GetMem(Buffer, BufferSize); ReadFile(NotificationPipe, Buffer^, BufferSize, BytesRead, nil); Result := String(Buffer); FreeMem(Buffer, BufferSize); end; procedure TReceiver.HandleEvent(ThePayload: String); begin // process the notification end; end. The receiver connects to an existing pipe using the Windows API method CreateFile. The Windows API method PeekNamedPipe is a nonblocking method to check the pipe for data. The method ReadFile reads data from the pipe as if it were a file. You can configure the pipe to cause read operations to block if no data is available. If multiple subscribers are present, the simple design described previously won t work. One solution is to use a separate pipe for each subscriber. The details of such an implementation are beyond the scope of this book.

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