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The process of firing an event requires a number of recurring steps to check for the presence of subscribers, to ensure that notifications are sent to all intended subscribers, and to handle other issues. To avoid duplicating this code each time an event needs to be fired, you should designate a method to handle the firing. I ll call this method the Fire method. There are two strategies for creating Fire methods: Creating one method to handle each type of event that can be fired Creating a single method to handle all the types of events that can be fired When events are fired, they typically carry a payload. Using a separate Fire method for each event type avoids complexity, because the method only deals with a specific type of payload. Using a common Fire method for all events, on the other hand, yields a more complex Fire method. A common method might make sense if you need to have a simple way to monitor all the events fired by an event source. The method would be a convenient place to put breakpoints or event logging code. Using Fire methods to handle notification dispatching is important, because these methods insulate the rest of the code in the event source from the details of how notifications are sent. Only the Fire method needs to know how to use the event subscription data structures to fire events, how to handle multiple subscribers, what to do if exceptions occur during event firing, and so on.

general. Note that Oracle s default value for this parameter could be as high as 4MB (for a 32-CPU system). If you have a large number of huge transactions, you might want to bump up the value of the LOG_BUFFER initialization parameter from its default value of 512KB, although too high a value means that too much data may have to be written to the redo log files at one time.

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For example, that large batch process that takes place at 2:00 am and does tremendously large hash joins, some index builds, and the like It should be permitted to use all of the resources on the machine It does not want to be fair about memory use it wants it all, as it knows it is the only thing happening in the database right now That batch job can certainly issue the ALTER SESSION commands and make use of all resources available So, in short, I prefer to use automatic PGA memory management for end user sessions for the applications that run day to day against my database Manual memory management makes sense for large batch jobs that run during time periods when they are the only activities in the database..

The log file switch wait event can occur when a session is forced to wait for a log file switch because the log file hasn t yet been archived. It can also occur because the log file switch is awaiting the completion of a checkpoint. If the problem isn t due to the archive destination getting full, it means that the archive process isn t able to keep up with the rate at which the redo logs are being archived. In this case, you need to increase the number of archiver (ARCn) processes to keep up with the archiving work. The default for the ARCn process is 2. This is a static parameter, so you can t use this fix to resolve a slowdown right away. You also need to investigate whether too-small redo log files are contributing to the wait for the log file switch. If the log file switch is held up pending the completion of a checkpoint, obviously the log files are too small and hence are filling up too fast. You need to increase the size of the redo log files in this case. Redo log files are added and dropped online, so you can consider this a dynamic change. If you see high values for redo log space requests in V$SYSSTAT, that means that user processes are waiting for space in the redo log buffer. This is because the log writer process can t find a free redo log file to empty the contents of the log buffer. Resize your redo logs, with the goal of having a log switch every 15 to 30 minutes.

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