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In particular, look for tasks currently performed serially that could be parallelized, which can be achieved three ways in a RAC database The most obvious way is to identify tasks that can be performed at the same time For example, if you are using R A to back up your RAC database, you may be able to execute MN some reports or run some batch jobs concurrently While there may be some contention between the backup and the processing for resources, the overall times for the jobs may still be reduced, because these processes tend to run in the off hours, away from general online users The second way is to use the parallelization features built into Oracle, including parallel execution (parallel query and parallel DML) Over the past ten years, support for parallelization has improved significantly and has also been extended to various tools and utilities.

The Web Conferencing server manages conferences, maintaining the state of each attendee, enforcing permissions and security rules, distributing real-time data, and managing the recording and archiving of the conferences The Document Conversion server converts.

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Many of these operations are designed into the database and are automatically turned on and off without your knowledge For example, in Oracle 101 and above, you can export and import data using the Data Pump utilities The original imp utility operates serially, whereas the Data Pump import utility loads data in parallel The third way to implement parallelization is to use RAC itself You can direct workloads with different characteristics to specific nodes or instances For example, the backup might run on one node while the batch jobs run on another, optimizing the use of the SGA in each instance and minimizing the amount of interconnect traffic Database services provide an excellent way of allocating tasks to different instances, with the assurance that if the instance fails, processing can be resumed on another instance..

Another consideration when designing your cluster is your upgrade policy. Some sites implement the latest version of Oracle and then update the patches at every opportunity, which can be justified if your application makes use of recently introduced features. However, you should remember that each patch set introduces a certain amount of risk, so there should be a definable benefit to your business in performing the upgrade. At the other end of the scale, many sites wait until an Oracle release is completely stable before implementing it. At the time of this writing, Oracle lOghas been available for over two years, but many sites are still implementing new systems on Oracle 9.2. While this delay in switching to Oracle lOg may be prudent in a single-instance environment, it is not advisable in a RAC environment, where

the pace of development is much faster, and the benefits of using newer releases are much more tangible. For RAC on Linux in particular, we strongly recommend that you consider Oracle 10.2 as a platform for initial deployment. Many users implement new systems and plan never to upgrade them once they go live. If adequate testing has been performed prior to going into production, this can be a good option, as project teams often disperse as their members seek new challenges once a project has gone live. However, these users are often in a minority. For many users, the realities of their businesses mean that their IT systems continually change as events arise, such as mergers, acquisitions, growth, downsizing, consolidation, and so on. For these users, the demands on their database estate are dynamic and must be addressed on a continuing basis.

Using the parser is very straightforward. You can use a lexer on its own, but a parser generated with fsyacc.exe always requires a lexer to work. You ll look at how to use your lexer on its own and combined with a parser in this section.

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