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Assuming all of your transactions are correctly sized (you are not committing more frequently than your business rules dictate), the most common causes for log file waits that I ve seen are as follows: Putting redo on a slow device: The disks are just performing poorly. It is time to buy faster disks. Putting redo on the same device as other files that are accessed frequently: Redo is designed to be written with sequential writes and to be on dedicated devices. If other components of your system even other Oracle components are attempting to read and write to this device at the same time as LGWR, you will experience some degree of contention. Here, you want to ensure LGWR has exclusive access to these devices if at all possible. Mounting the log devices in a buffered manner: Here, you are using a cooked file system (not RAW disks). The operating system is buffering the data, and the database is also buffering the data (redo log buffer). Double-buffering slows things down. If possible, mount the devices in a direct fashion. How to do this varies by operating system and device, but it is usually possible. Putting redo on a slow technology, such as RAID-5: RAID-5 is great for reads, but it is generally terrible for writes. As we saw earlier regarding what happens during a COMMIT, we must wait for LGWR to ensure the data is on disk. Using any technology that slows this down is not a good idea.

It s inside the loop where the real work occurs. The first step is to get a list of all the fields corresponding to the current class: ' get the list of fields in this type fields = currentType.GetFields(_ BindingFlags.NonPublic Or _ BindingFlags.Instance Or _ BindingFlags.Public) It doesn t matter whether the fields are Public they all need to be recorded regardless of scope. What s more important is to only record instance fields, not those declared as Shared. The result of this call is an array of FieldInfo objects, each of which corresponds to a field in the business object.

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If at all possible, you really want at least five dedicated devices for logging and optimally six to mirror your archives as well. In these days of 200GB, 300GB, 1TB and larger disks, this is getting harder, but if you can set aside four of the smallest, fastest disks you can find and one or two big ones, you can affect LGWR and ARCH in a positive fashion. To lay out the disks, you would break them into three groups (see Figure 9-5): Redo log group 1: Disks 1 and 3 Redo log group 2: Disks 2 and 4 Archive: Disk 5 and optionally disk 6 (the big disks)

You would place redo log group 1 with members A and B onto disks 1 and 3. You would place redo log group 2 with members C and D onto disks 2 and 4. If you have groups 3, 4, and so on, they d go onto the odd and even groups of disks respectively. The effect of this is that LGWR, when the database is currently using group 1, will write to disks 1 and 3 simultaneously. When this group fills up, LGWR will move to disks 2 and 4. When they fill up, LGWR will go back to disks 1 and 3. Meanwhile, ARCH will be processing the full online redo logs and writing them to disks 5 and 6, the big disks. The net effect is neither ARCH nor LGWR is ever reading a disk being written to, or writing to a disk being read from, so there is no contention (see Figure 9-6).

As discussed earlier, the FieldInfo array could include fields from the base classes of the current class. Because of the way the JIT compiler optimizes code within the same assembly, if some base classes are in the same assembly as the actual business class, the same field name may be listed in multiple classes. As the code walks up the inheritance hierarchy, it could end up processing those fields twice. To avoid this, the code looks only at the fields that directly belong to the class currently being processed: For Each field As FieldInfo In fields ' make sure we process only our variables If field.DeclaringType = currentType Then

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