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Figure 8-16. Using a shared file between processes on the same machine The sender writes the notification payload to a temporary file in the shared folder. Once the file has been written, its name is changed into the shared file s designated name. The file system executes the Rename command as an uninterruptible command, so the receiver doesn t see the shared file appear until the temp file has been completely written, closed, renamed, and is ready to be read. The renaming stratagem spares the sender and receiver from having to deal with file locks. A significant problem with this simplistic approach is that the sender can t send further notifications until the subscriber has read the previous one. There are two typical solutions. The simplest is to use multiple files, named according to a numbering scheme. The alternative is to use a single file, but with new rules, to allow the file to contain multiple notifications. Using multiple files, the sender uses the same approach shown in the previous sequence diagram, but creates a new shared file for each notification sent, using a predefined naming sequence. It might create files named SharedFile000, SharedFile001, etc. The receiver would delete each file after reading it. Listing 8-16 and Listing 8-17 show implementations in C# and VB .NET. Listing 8-16. Using Numbered Files to Fire Events in C# public class Sender { string sharedDirectory; int fileNumber = 0; public Sender(string theSharedDirectory) { sharedDirectory = theSharedDirectory; if (!System.IO.Directory.Exists(theSharedDirectory)) System.IO.Directory.CreateDirectory(theSharedDirectory); } public void FireEvent(string thePayload) { string tempFileName = sharedDirectory + @"\temp"; // create the temp file System.IO.StreamWriter writer = new System.IO.StreamWriter(tempFileName); writer.WriteLine(thePayload); writer.Close();

From the sar output, you can figure out if you re using the storage subsystem heavily. If the number of waits is higher than the number of CPUs, or if the service times are high (say, greater than 20 milliseconds), then your system is facing contention at the I/O level. One of the most useful pieces of information you can get is by using the sar d command to find out if you re using any of your disks excessively compared to other disks in the system. Once you identify such hot spots, you can move the data files to less busy drives, thereby spreading the load more evenly. The following is the output of a sar d command that shows extremely high queue values. Even at peak levels, the avque column value should be less than 2. Here, it is 61.4. Obviously, something is happening on the file system named c2t6d0 that s showing up as a high queue value: $ sar -d 10 5 HP-UX finance1 B.11.00 A 9000/800 17:27:13 device %busy avque 17:27:23 c2t6d0 100 61.40 c5t6d0 20.38 0.50 c2t6d0 100 61.40 c5t6d0 18.28 0.50 c0t1d0 0.10 0.50 . . . $ 07/03/05 r+w/s blks/s 37 245 28 208 38 273 27 233 4 33

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Questions that come up frequently are How is this memory allocated and What will be the amount of RAM used by my session These are hard questions to answer for the simple reason that the algorithms for serving out memory under the automatic scheme are not documented and can and will change from release to release. When using things that begin with A for automatic you lose a degree of control, as the underlying algorithms decide what to do and how to control things.

You can obtain an idea about the I/O distribution in your system by using the query in Listing 22-13. Listing 22-13. Determining I/O Distribution in the Database SQL> 2 3 4 5 6 7 8 9 10 11 12* SELECT d.name, f.phyrds reads, f.phywrts wrts, (f.readtim / decode(f.phyrds,0,-1,f.phyrds)) readtime, (f.writetim / decode(f.phywrts,0,-1,phywrts)) writetime FROM v$datafile d, v$filestat f WHERE d.file# = f.file# ORDER BY d.name; WRTS ---9 7 READTIME ---------.608695652 .277777778 WRITETIME ---------.222222222 0

string fileName = string.Format(@"{0}\File{1:000}", sharedDirectory, fileNumber); // rename the file System.IO.File.Move(tempFileName, fileName); fileNumber++; if (fileNumber > 999) fileNumber = 0; } } public class Receiver { public bool terminationRequested; private string sharedDirectory; private int fileNumber = 0; public Receiver(string theSharedDirectory) { sharedDirectory = theSharedDirectory; } public void Run() { while (!terminationRequested) WaitForNotifications(); } void WaitForNotifications() { WaitForFile(); System.Threading.Thread.Sleep(10); } void WaitForFile() { string fileName = string.Format(@"{0}\File{0:000}", sharedDirectory, fileNumber); if (!System.IO.Directory.Exists(sharedDirectory) if (!System.IO.File.Exists(fileName) ) return; ) return;

NAME READS ----------------------------- ----/pa01/oradata/pa/lol_i_17.dbf 23 /pa01/oradata/pa/lol_i_18.dbf 18 ... SQL>

We can make some observations based on some information from MetaLink note 1478061: The PGA_AGGREGATE_TARGET is a goal of an upper limit It is not a value that is pre-allocated when the database is started up You can observe this by setting the PGA_AGGREGATE_ TARGET to a value much higher than the amount of physical memory you have available on your server You will not see any large allocation of memory as a result A serial (nonparallel query) session will use a small percentage of the PGA_AGGREGATE_ TARGET, about 5 percent or less So, if you have set the PGA_AGGREGATE_TARGET to 100MB, you would expect to use no more than about 5MB per work area (eg, the sort or hash work area).

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