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In Oracle Database 11g, all versions of the supported Linux releases are based on the 2.6 kernel with the performance and scalability benefits that this brings. Thousands of users can be handled reliably, and larger amounts of memory can be supported. Up to 64GB of memory is supported on 32-bit, x86 systems; however, on Oracle Enterprise Linux, the Hugemem kernel is required for this support.



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To deploy a .NET CLR stored procedure, right click your project in the Solution window of the Visual Studio IDE. Choose the Deploy menu option to launch the deployment wizard for your CLR stored procedure. Figure 5-10 illustrates.

select o.orderid OrderID, c.companyname CustomerName, e.lastname Employee from orders o inner join employees e on o.employeeid = e.employeeid inner join customers c on o.customerid = c.customerid

Note The Hugemem kernel is not available on Oracle Enterprise Linux 5, and the standard SMP kernel on x86 supports up to 16GB of memory only.





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Figure 5-10. Launching the .NET CLR stored procedure deployment wizard The first step of the deployment wizard allows you to configure an Oracle database connection to use for the deployment. Fill in your database connection settings. After that is done, proceed to the next step. The next window (shown in Figure 5-11) allows you to choose a deployment option. Since you will need to copy and load the DLL to the database, select the first option.

On x86-64 from the Oracle Enterprise Linux 5.3 release and later, the certified maximum memory is 1TB, and the number of supported CPUs is 255. In the first edition of this book, which focused on Oracle Database 10g, we detailed the installation and configuration of Red Hat Enterprise Linux 4 AS. For that reason, this edition focuses on the more recent supported version of Oracle Enterprise Linux Release 5. You should also pay particular attention to the requirements of your chosen hardware platform and its support for a particular processor or chipset.

First, you modify the select list, replacing CustomerID from the Orders table with CompanyName from the Customers table:

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Oracle publishes a minimum set of hardware requirements for each server (see Table 6-2). Obviously, the minimum requirements must be met in order to install and configure a working Oracle database; and production environments should adhere to at least the recommended values. We strongly recommend that every node of the cluster have an identical hardware configuration, although this is not strictly mandatory, except for the CPU architecture type. The client display resolution requirements are for the system on which the Oracle Universal Installer (OUI) is displayed. You set these in the DISPLAY environment variable; therefore, the display resolution requirements do not apply to the cluster nodes themselves. Table 6-2. Minimum and Recommended Server Requirements

Note Take note that you are required to log on with SYSDBA privileges to use the .NET CLR stored procedure deployment wizard in Visual Studio.

way to understand the nuances of each approach is to test and compare the solution applicable to your environment To draw comparisons between various I/O configurations, we recommend testing the configurations in question Ultimately, the best way of determining a storage configuration capable of supporting an Oracle RAC configuration is to measure that storage under an Oracle Database workload However, while noting the relevance of measuring actual Oracle Database workloads, there is also a tool called Oracle Orion available with both the Grid infrastructure software and Oracle Database software installations in Oracle 11g Release 2 This tool enables the testing of storage performance in isolation If you re running against block devices, Orion should be run against the block devices themselves and not a file in the file system mounted upon them.

Second, you add a second inner join, as always with two operands: the table produced by the first join, and the base table Customers. You reformat the first join operator, splitting it across three lines simply to make it easier to distinguish the tables and joins. You can also use parentheses to enclose joins, and you can make them clearer when you use multiple joins (further, since joins produce tables, you can also associate their results with correlation names, for reference in later joins and even in the select list, but such complexity is beyond the scope of this discussion):

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