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Server processes copy redo entries into the redo log buffer The L W then writes these redo entries to disk All redo entries created since the last time GR the L W process was invoked are written together As the online redo logs are written sequenGR tially, the L W process normally writes fast enough to ensure there is space available in the redo GR buffer for new entries In a RAC environment, there is one L W process per instance and this process can only write to GR the current online redo log This effectively serializes the output of redo information In our experience, the L W process is often the limiting factor for scalability When ramping up loads on a well-tuned GR database, writes to the redo log are frequently the bottleneck There are several possible solutions including Reduce the amount of redo generated Use faster disk technology.

By using centralized security policies, which you can apply to many different tables, you decrease the amount of duplicated code you need to write and also make it far easier to modify that code later The point about protecting the data regardless of the method of access is a very important one It s surprisingly common for people to modify data directly using tools such as SQL*Plus and TOAD, rather than using the in-house applications that were built specifically for the purpose Using such tools will circumvent any application, business, and security logic that you have implemented in your application By implementing as much logic as you can in the database, rather than in the application, no matter how the user modifies the data, you can still enforce the checks at the database level..

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Add more instances to the cluster The L W background process can be configured to maintain more than one redo log destination; GR for example, in a physical standby configuration L W may be responsible for updating both the local GR and the remote redo log destinations It is possible to specify whether a destination is mandatory in which case the update must be performed before processing can continue or optional, in which case the update may fail because of some external reason, such as a network timeout DBWw The database writer (DBWn) process writes dirty blocks from the buffer cache back to the data files Dirty blocks, which are blocks that have been updated by one of the foreground processes, cannot be written to disk until the changes have been written to the current online redo log.

However, once the changes have been written to the redo log, it is not necessary for the database writer processes to write blocks back to disk immediately Therefore, the blocks are written back asynchronously either when additional space is required in the buffer cache or in a RAC instance when a write is requested by the block master The buffer cache is maintained using a modified LRU (least recently used) algorithm The D W B n processes attempt to delay writing dirty blocks back to disk as long as possible This is because there is a high probability that the same blocks will be updated again while they are in the buffer cache There can be one or more D W processes per instance The number of D W background B n B n processes is specified by the DBWRITERPROCESSES initialization parameter.

As you can see, we had to jump through a few hoops to get the YUI Library working with APEX. However, it really isn t that difficult once you have an understanding of how to use other techniques such as On Demand processes and the htmldb_Get function to retrieve data from your database without needing to refresh the entire page.

The default value is based on the number of CPUs In Oracle 901 there can be up to 10 D W processes ( B O to DBW9) In Oracle 92 and above B n DW there can be up to 20 D W processes ( B O to DBW9, D W to DBWj) B n DW B a.

% of direct sent messages: % of indirect sent messages: % of flow controlled messages:

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