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I his book is about deploying Oracle Real Application Clusters (RAC) databases on the Linux operating system RAC enables multiple Oracle instances running on separate servers to access a single database located on shared storage RAC technology ensures that all instances can physically modify any block in the database while maintaining a single logical copy of the data RAC was introduced as part of Oracle 9/ in 2001 and has been improved significantly in each subsequent major release In Oracle lOg Release 2, RAC has become a highly stable production environment on all platforms, particularly on Linux Linux has been available as an open source operating system for many years However, robust, fully supported, enterprise-level versions from Red Hat and Novell SUSE have only been available since around 200 L Linux offers almost all of the features included in proprietary UNIX offerings; it also offers additional functionality in many areas.

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The number of Oracle customers implementing RAC databases has grown exponentially over the last couple of years The cost of deploying RAC has decreased because of its use of industrystandard hardware RAC has four main objectives: Increased availability Increased scalability Improved manageability Reduced total cost of ownership Achieving at least one of the aforementioned objectives is essential for a successful Oracle RAC deployment, and a few customers may achieve two or even three It is very rare to encounter a customer who achieves all four goals, as to some extent, the objectives conflict with each other In this book, we describe how to achieve each objective and we outline some of the pitfalls Oracle RAC may not be the optimum choice as a high-availability solution for all users.

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While we have met hundreds of Oracle customers who have successfully deployed Oracle RAC, we also know a handful for whom RAC has not been appropriate Before you design an Oracle RAC architecture, you should investigate other options that might be available, including Oracle features such as Data Guard and Streams, and third-party solutions such as active/passive clusters, third-party cluster file systems, and SAN-level replication Any high-availability solution should be considered within the context of your business needs, not the sales targets of your Oracle account manager Oracle documentation has greatly improved over the last few releases Taken together with MetaLink web site notes and other information available on the Internet, there is plenty of information in the public domain for new Oracle RAC users We have tried to consolidate as much information as possible into this book.

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IFS.SERVER.Class: The Java class that instantiates the Content Services server process. This should not be adjusted. IFS.SERVER.SESSION.User: A database user with full administration rights within the database. This defaults to the SYSTEM user. IFS.SERVER.TIMER.ActivationPeriod: The time interval between runs of the agent formatted as a number followed by an h (for hours), an m (for minutes), or an s (for seconds). This defaults to once a day. IFS.SERVER.TIMER.InitialTimeOfDay: The time of the first run of the agent formatted as hh24:mm:ss. This defaults to a quarter past midnight. To start the Content Agent automatically, from the Content Services home page take the Node Configurations link. Select the node on which you want to run the agent (there will only be one node available with the display name Node, unless you have created additional nodes) to reach the node s home page. All the possible agents are listed, but the Content Agent is not started initially by default; select it, and check the Initially Started check box.

Where we describe procedures such as installation, configuration, and adding and deleting nodes, we illustrate these with screenshots when possible to help you visualize the required steps We also venture into many areas that are not always covered by Oracle RAC books, including hardware and storage configuration Enterprise Manager Grid Control, backup and recovery using R A , and disaster recovery using Data Guard We also include a chapter on application development MN describing some of the latest RAC technologies..

When parsing it s generally important to know whether the operation succeeded or failed. FParsec use the ParserResult discriminating union to do that. This type gives access to the result if parsing was successful and error information if it was not. In both cases, information about the position of the parser is also returned. The next example shows how to use the ParserResult type. open FParsec let parseAndPrint input = let result = CharParsers.run CharParsers.pfloat input match result with | CharParsers.Success (result, _, _) -> printfn "result: %A" result | CharParsers.Failure (_, errorDetails, _) -> printfn "Error details: %A" errorDetails parseAndPrint "3.1416" parseAndPrint " 3.1416" parseAndPrint "Not a number"

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