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options Watch out for extremely inefficient hash joins if you have SQL where both data sets in the join are very large When you switch to using the automatic workarea policy, the results look a little surprising On the downside, the code is clearly putting an unrealistically high cost on optimal hash joins In fact, the version using CPU costing did eventually drop the cost of the hash join to 0, but only after I increased the pga_aggregate_target to nearly 1000MB, and I still haven t been able to work out why There is, however, an important difference between the models used for manual and automatic policy that makes the newer model a much more appropriate one although it may still need some adjustment.

This implies that the business layer can be physically deployed on the client workstation or on the web server to provide the high levels of interactivity users desire To support non-interactive processes, on the other hand, the Business Logic layer often needs to be deployed onto an application server, or as close to the database server as possible For instance, the calculation of an insurance rate can involve extensive database lookups along with quite a bit of complex business processing This is the kind of thing that should occur behind the scenes on a server, not on a user s desktop Fortunately, it is possible to deploy a logical layer on multiple physical tiers Doing this does require some up-front planning and technical design, as you ll see in 2.

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public interface IPublishEventServiceChannel : IPublishEventService, IClientChannel { } } using using using using using using System; System.Collections.Generic; System.Linq; System.Text; System.Runtime.Serialization; System.Reflection;

Notice how the cost for the older model changes gradually (in most cases) as the available memory changes, while the cost for the newer model stays constant for a while, and then jumps This is quite reasonable there are actually two good reasons why there should be sharp steps in the cost of a hash join Recall that the hash table is split into partitions, and partitions are made up of clusters The cluster is the unit size for I/O The most important decisions that the optimizer has to make about a hash join are how many partitions, and how big should the clusters be Assume you have enough memory for N clusters if you increase the memory by N blocks, every cluster can become one block bigger, which means that the (multiblock) I/O operations for dumping and rereading partitions will be a little more efficient.

The end result, however, is a single business layer that is potentially deployed on both the client workstation (or web server) and on the application server This allows the application to provide high levels of interactivity when the user is working directly with the application, and efficient back-end processing for non-interactive processes..

s This application is relatively simple. A real project-tracking system would undoubtedly be more complex, Tip but it is necessary to have something small enough to implement within the context of this book. Remember that my focus is on illustrating how to use CSLA .NET to create business objects, child objects, and so forth.

So that s one reason for a step The second reason for the step could be justified by thinking about the partition dumping and reloading that takes place Assume at run time that it is possible to hold two build partitions in memory as the build phase ends In this case, only six out of eight probe partitions will need to be dumped to disk and reloaded Make the memory about 25% larger and perhaps three partitions of the eight build partitions will be still be in memory at the end of the build so only five probe partitions will need to be dumped and reloaded.

fonts, open the C:\WINDOWS\FONTS map (for example, by clicking the Start button, selecting Run, and typing this map name). The Font Name column displays all the fonts you can specify. For example, if the font name is Times New Roman (TrueType), you can specify Times New Roman as the FontName property for your font.

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