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Conclusion
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If you've recently programmed data-driven applications, disconnected programming is nothing new for you. Disconnected scenarios are key in the era of the Internet, as they let you gain in scalability and mobility, bringing simplification to the software and to the user. For disconnected applications, effective local copies of the data are more than vital they're absolutely mandatory. For .NET Framework applications, the DataSet object is the ideal candidate to take the position of the client-side data container in disconnected, intermittent applications. In this chapter and in 9, we analyzed various options for serializing the contents of a DataSet object to output streams. In this chapter in particular, we analyzed a stateful way to persist the DataSet contents. In general, there are two different angles from which you should look at the DataSet object's serialization. One is the physical layout of the data when stored to disk; the other is the statefulness of the format. Normally, a DataSet object serializes itself using a couple of XML blocks schema and data. This data can then be saved as is to a text or SOAP output stream or saved to a more compact binary stream. In this case, 385
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however, the verbosity of XML patently wins over the compactness of binary data. As a result, the size of the final stream is often unacceptably large. You must resort to tricks such as the ghost class discussed in 9 to overcome this difficulty. As for the data format, you can choose between the stateless ADO.NET normal form, the DiffGram format, and the DiffGram with a schema. In the first case, you take a snapshot of the current data, disregarding original values, ongoing changes, and pending row errors. The DiffGram format is stateful and maintains a history of the changes and pending errors. Unfortunately, the DiffGram format does not include schema information. Schema information is fundamental for constructing a DataSet object from XML data. By using the XML serializer class, you obtain a new XML format in which schema and DiffGram data are grouped under a common umbrella. Incidentally, XML serializers are the topic of 11.
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Further Reading
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In my book Building Web Solutions with ASP.NET and ADO.NET (Microsoft Press, 2002), I devoted 7 to disconnected applications and batch updates. In that chapter, I discuss save-and-resume applications from the Web perspective. A wider coverage of disconnected ADO.NET can be found in Francesco Balena's Programming Visual Basic .NET (Microsoft Press, 2002) and David Sceppa's Microsoft ADO.NET Core Reference (Microsoft Press, 2002). Both books will more than get you started, so deciding which works better for you is more of a matter of personal preference. If you want to focus on ADO.NET, go for Sceppa's book; if you want to look at ADO.NET as a part of the larger .NET Framework, pick up Balena's book. Data binding is a key enhancement in the .NET Framework. Although based on a shared model such as ADO.NET, data binding is implemented in radically different ways in Windows Forms and Web Forms applications. Insights into Windows Forms data binding can be found in the following Microsoft Developer Network (MSDN) articles: http://msdn.microsoft.com/library/en-us/dndive/html/data06132002.asp and http://msdn.microsoft.com/msdnmag/issues/02/02/cutting/cutting0202.asp.
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Part IV: Applications Interoperability
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List
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11: XML Serialization 12: The .NET Remoting System 13: XML Web Services 14: XML on the Client 15: .NET Framework Application Configuration
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Part Overview
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11: XML Serialization
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Overview
Serialization is the run-time process that converts an object, or a graph of objects, to a linear sequence of bytes. You can then use the resultant block of memory either for storage or for transmission over the network on top of a particular protocol. In the Microsoft .NET Framework, object serialization can have three different output forms: binary, Simple Object Access Protocol (SOAP), and XML. We touched on binary serialization in 9 while examining how to work around XML DiffGram code in serialized DataSet and DataTable objects. In this chapter, we'll look briefly at SOAP serialization and then move on to the core topic XML serialization. Run-time object serialization (for example, binary and SOAP) and XML serialization are significantly different technologies with different implementations and, more important, different goals. Nevertheless, both forms of serialization do just one key thing: they save the contents and the state of living objects out to memory, and from there to any other storage media. Run-time serialization is governed by .NET Framework formatter objects. XML serialization takes place under the aegis of the XmlSerializer class. The XML serialization process converts the public interface of an object to a particular XML schema. Such a mechanism is widely used throughout the .NET Framework as a way to save the state of an object into a stream or a memory buffer. In 10, we saw XML serialization used as a way to persist DiffGram with schema scripts that describe a DataSet object. Web services use the XmlSerializer class to encode object instances being returned by methods.
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