Bob Beauchemin's Essential ADO.NET PDF
By Bob Beauchemin
This reads like an ADO.NET consumer guide the place all probabilities are pointed out yet lack reasoning and coherence within the topic. Its now not a simple learn and was once no longer written for develoipers who must speedy get to the subject as a substitute its extra for running shoes.
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Extra info for Essential ADO.NET
The XML model has limited support for the concept of connections, commands, and transactions, however, so it is more suited to intersecting with the database model at the DataReader point. Note that the XML model usually streams entire nodesets in or out of a data store. There is no support in the streaming model for in-place maintenance of a database-style repository. XmlReader and XmlWriter are abstract base classes, allowing for specialization over any data store. Xml contains XmlTextReader and XmlNodeReader, which read into an Infoset model from a text 43 44 file (or stream) and from a DOM node, respectively.
Disconnected access dealing not with a database but with sets, graphs, or trees of data is implemented at the client. This chapter illustrates each of these modes of data access with a simple example. The examples illustrate how to access an actual database using the SqlClient data provider set of classes, optimized for and specific to SQL Server. Other data providers have the same general structure and functions. 3 Connected Mode The Connection class in connected mode represents a connection to a data store that uses a proprietary protocol.
NET data provider supports server cursors because these providers are designed with application scalability in mind. As we look at the data provider APIs in this chapter, you'll notice that I often use fuzzy terms such as usually, mostly, and almost always. This is because not all of the underlying data stores or in the case of OLE DB and ODBC, underlying data providers work in exactly the same way. Connections, Commands, Parameters, and so on are an API generalization. I also mention the specific behavior of data providers over popular data stores such as SQL Server, Oracle, and Access when it is relevant and differs from what you might expect.