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2 discussed the class-in-charge model and factory methods. When the UI needs to create or retrieve a business object, it will call a factory method that abstracts that behavior. These factory methods are just Shared methods, and you can put them in any class you choose. While some people put them in their own factory class, I prefer to put them in the business class for the object they create or retrieve, as I think it makes them easier to find. This means a Customer class will include Shared factory methods such as GetCustomer() and NewCustomer(), both of which return a Customer object as a result. It may also implement a DeleteCustomer() method, which would return nothing. The implementation of these methods would typically look like this: Public Shared Function NewCustomer() As Customer Return DataPortal.Create(Of Customer)() End Function Public Shared Function GetCustomer(ByVal id As Integer) As Customer Return DataPortal.Fetch(Of Customer)(New Criteria(id)) End Function Public Shared Sub DeleteCustomer(ByVal id As Integer) DataPortal.Delete(New Criteria(id)) End Sub

In this example, I will shrink my DB_CACHE_SIZE since I currently have it set rather large:

Both the client and global context information used by all the classes just discussed are ultimately managed by Csla.ApplicationContext. This class is responsible for providing access to context information to the CSLA .NET framework, the business objects, and the UI code. In many ways, ApplicationContext is similar to the idea of HttpContext within an ASP.NET application.

public float SupplyVoltage { get { return this.supplyVoltage; } } } }

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ops$tkyte@ORA10G> show parameter db_cache_size NAME TYPE VALUE ------------------------------------ ----------- -----------------------------db_cache_size big integer 1G ops$tkyte@ORA10G> alter system set db_cache_size = 768m; System altered ops$tkyte@ORA10G> alter system set db_16k_cache_size = 256m; System altered ops$tkyte@ORA10G> create tablespace ts_16k 2 datafile size 5m 3 blocksize 16k; Tablespace created So, now I have another buffer cache set up: one to cache any blocks that are 16KB in size The Default pool, controlled by the db_cache_size parameter, is 768MB in size and the 16KB cache, controlled by the db_16k_cache_size parameter, is 256MB in size These two caches are mutually exclusive; if one fills up, it cannot use space in the other This gives the DBA a very fine degree of control over memory use, but it comes at a price A price of complexity and management.

On the surface, it seems like maintaining a set of globally available information is easy just use a Shared field and be done with it. Unfortunately, things are quite a bit more complex when building a framework that must operate in a multithreaded server environment. Remember that the serverside components of the data portal may run in ASP.NET on an IIS server when either .NET Remoting or Web Services are used as a network channel. And in the future, WCF (Indigo) will run in a similar server configuration.

These multiple blocksizes were not intended as a performance or tuning feature, but rather came about in support of transportable tablespaces the ability to take formatted data files from one database and transport or attach them to another database They were implemented in order to take data files from a transactional system that was using an 8KB blocksize and transport that information to a data warehouse using a 16KB or 32KB blocksize The multiple blocksizes do serve a good purpose, however, in testing theories If you want to see how your database would operate with a different blocksize how much space, for example, a certain table would consume if you used a 4KB block instead of an 8KB block you can now test that easily without having to create an entirely new database instance.

You may also be able to use multiple blocksizes as a very finely focused tuning tool for a specific set of segments, by giving them their own private buffer pools Or, in a hybrid system with transactional users, you could use one set of data and reporting/warehouse users could query a separate set of data The transactional data would benefit from the smaller blocksizes due to less contention on the blocks (less data/rows per block means less people in general would go after the same block at the same time) as well as better buffer cache utilization (users read into the cache only the data they are interested in the single row or small set of rows).

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