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Note There are also popular third-party data providers offered by other companies such as dotConnect for Oracle; we will not focus on these third party providers in this book.



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Architects aim for linear scalability, where the throughput remains constant under additional workload in other words, doubling the number of nodes should also double the throughput of the application. Technical overhead, such as the cache synchronization and global locking, prevent exact linear scalability in RAC; however, a well designed application one that uses business logic inside the database, bind variables, and other techniques equally applicable to single-instance Oracle systems will most likely benefit greatly from RAC. Generally speaking, the scalability achieved with RAC varies according to the application and database design.

The cost of licensing RAC can be partly offset by the improved manageability it offers. For example, the technology behind the RAC technology stack makes it an ideal candidate for database consolidation. Data center managers are increasingly concerned with making optimal use of their available resources, especially with the more recent focus on and interest in green IT.





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XML is the fundamental medium for data transfer in .NET. In fact, XML is a major foundation for ADO.NET. Datasets organize data internally in XML format and have a variety of methods for reading and writing in XML. For example: You can import and export the structure of a dataset as an XML schema using System.Data.DataSet s ReadXmlSchema and WriteXmlSchema methods. You can read the data (and, optionally, the schema) of a dataset from and write it to an XML file with ReadXml() and WriteXml(). This can be useful when exchanging data with another application or making a local copy of a dataset. You can bind a dataset to an XML document (an instance of System.Xml. XmlDataDocument). The dataset and data document are synchronized, so you can use either ADO.NET or XML operations to modify it. Let s look at one of these in action, copying a dataset to an XML file.

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Before the advent of the .NET platform, programmers would use the Microsoft Active Data Objects (ADO) libraries to connect to the database. Microsoft ADO is part of the Microsoft Data Access Components (MDAC) package and allows developers to connect to Oracle databases through either Object Linking and Embedding, Database (OLEDB) or Open Database Connectivity (ODBC). OLEDB is faster than ODBC because there are fewer layers in between the OLEDB provider and the native Oracle Call Interface (OCI) API. To use ODBC, the ADO application would have to use an OLEDBto-ODBC bridge to translate OLEDB requests into ODBC requests. This contributes to a performance detriment when using ODBC with ADO. In fact, using OLEDB for data access yields a more stable environment compared to ODBC for the same reason. There is also a third option that produces the fastest performance for data access the Oracle Objects for OLE (OO4O) library, which is a suite of Component Object Model (COM) components that allows native access to an Oracle database without the use of ADO. The three data access methods can be visually summarized as shown in Figure 1-1.

Mean time to recovery (estimated)

s Note If you re unfamiliar with XML, don t worry. ADO.NET doesn t require any detailed knowledge of it.

No downtime, but review table for implications of instance recovery No downtime when using normal or high redundancy for disk groups

OLEDB is an open standard developed by Microsoft that is basically a generic set of COM interfaces that define data access to a variety of data sources. The concept of OLEDB is straightforward: the provider implements these COM interfaces and provides, for example, the functionality of retrieving data into a table, which is then returned to the consumer. There are numerous OLEDB providers out there; typically, most databases would have an OLEDB driver written specifically for it so that developers can gain access to them. For instance, Oracle provides the Oracle provider for OLEDB driver to access Oracle databases, and Microsoft provides the Microsoft SQL Server provider to access Microsoft SQL Server databases. OLEDB technology is versatile enough in that it is able to retrieve data from even nondatabase data sources as long as an OLEDB provider is written for it. An example of this is the Microsoft Jet OLEDB provider, which is able to retrieve and store data from a Microsoft Excel file using OLEDB.

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