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Sometimes the Data Access layer can be as simple as a series of methods that use ADO.NET directly to retrieve or store data. In other circumstances, the Data Access layer is more complex, providing a more abstract or even metadata-driven way to get at data. In these cases, the Data Access layer can contain a lot of complex code to provide this more abstract data access scheme. The framework created in this book doesn t restrict how you implement your Data Access layer. The examples in the book use LINQ to SQL, but you could also use ADO.NET or use some other metadata-driven Data Access layer directly if you prefer. Another common role for the Data Access layer is to provide mapping between the object-oriented business logic and the relational data in a data store. A good object-oriented model is almost never the same as a good relational database model. Objects often contain data from multiple tables, or even from multiple databases; or conversely, multiple objects in the model can represent a single table. The process of taking the data from the tables in a relational model and getting it into the object-oriented model is called object-relational mapping (ORM), and I ll have more to say on the subject in 2.

Also, if we are using connection pooling with Oracle Net, then our session might not be associated with any process at all; the client would drop the connection after an idle time and reestablish it transparently upon detecting activity In short, there is a many-to-many relationship between connections and sessions However, the most common case, the one most of us see day to day, is a one-to-one relationship between a dedicated server and a single session..

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Now, in SQL Server it is a very common practice to open a connection to the database for each concurrent statement you want to execute. If you are going to do five queries, you might well see five connections in SQL Server. In Oracle, on the other hand, if you want to do five queries or five hundred, the maximum number of connections you want to open is one. So, a practice that is common in SQL Server is something that is not only not encouraged in Oracle, it is actively discouraged; having multiple connections to the database is just something you don t want to do. But do it they did. A simple web-based application would open 5, 10, 15, or more connections per web page, meaning that their server could support only 1/5, 1/10, or 1/15 the number of concurrent users that it should have been able to. Moreover, they were attempting to run the database on the Windows platform itself just a plain Windows server without access to the data center version of Windows. This meant that the Windows single-process architecture limited the Oracle database server to about 1.75GB of RAM in total. Since each Oracle connection took at least a certain fixed amount of RAM, their ability to scale up the number of users using the application was severely limited. They had 8GB of RAM on the server, but could only use about 2GB of it.

Finally, there s the Data Storage and Management layer. Database servers such as SQL Server and Oracle often handle these tasks, but, increasingly, other applications may provide this functionality, too, via technologies such as XML-based services. What s key about this layer is that it handles the physical creation, retrieval, update, and deletion of data. This is different from the Data Access layer, which requests the creation, retrieval, update, and deletion of data. The Data Storage and Management layer actually implements these operations within the context of a database or a set of files, and so on. The business logic (via the Data Access layer) invokes the Data Storage and Management layer, but the layer often includes additional logic to validate the data and its relationship to other data.

Note There are ways to use more RAM in a 32-bit Windows environment, such as with the /AWE switch, but

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