c# data matrix generator Service Broker s Place in the Messaging World in Visual C#.NET

Encoder Data Matrix in Visual C#.NET Service Broker s Place in the Messaging World

Service Broker s Place in the Messaging World
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Given the messaging capabilities of existing technologies, a common question surrounding Service Broker is what advantages it has, if any, over traditional messaging implementations such as MSMQ and BizTalk. Fundamentally, the primary difference between Service Broker and most other messaging technologies is its tight integration with a database engine. This provides a number of important benefits. Unified programming model: Service Broker adds message-related objects, such as message, queue, and service, to the standard set of database objects (table, stored procedure, trigger, etc.). It also enhances the T-SQL with the capability to read queues, write queues, and send messages to other Service Broker services. The result is a message programming model that is immediately familiar to database administrators and developers with T-SQL experience. Improved transactional messaging support: Many messaging scenarios call for a client application to perform a transactional read on a message queue. Unfortunately, several messaging infrastructures only support transactional reads on queues that are local to the receiving application. However, Service Broker allows any client, be it local or remote, to perform transactional reads. It also does not need to use expensive twophase commit protocols to implement transactional messaging. Integrated management and operations: An organization s collected data is priceless, so it is usually protected with automated backup procedures and clustered hardware that ensures availability through failover. Since it s part of SQL Server 2005, the Service Broker message infrastructure automatically reaps these benefits.
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CHAPTER 11 DATA ACCESS LAYER SERVICES
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Of course, Service Broker is not a messaging panacea. This tight integration with SQL Server 2005 comes at a steep price: Service Broker can only exchange messages with other Service Brokers (running in SQL Server 2005, of course). In contrast, MSMQ can send messages to any Windows machine running MSMQ and even some mainframes with the proper bridging software. And BizTalk, with its flexible adapter mechanism, can accept messages from just about anyone and send messages just about anywhere. Keep in mind, however, that even a single instance of SQL Server 2005 can make good use of Service Broker internally to provide reliable asynchronous interaction between it and the applications using the data all without resorting to a general-purpose messaging technology like MSMQ. In fact, this may well describe the most common usage scenario.
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Another critical feature in SQL Server 2005 is the capability to store XML documents and fragments as a native type. In other words, XML joins the other common SQL Server types like int, varchar, money, etc. At first glance, this may seem like a minor upgrade. However, this fundamental feature provides an exceptional level of database engine integration and, in the process, opens a new world of possibilities by leveraging the best of the relational and XML data models.
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From the early days of XML, developers have tried to map data stored in XML documents to relational data structures. The subtle but fundamental differences between the two data models, however, create an impedance mismatch that is trumped only by the object/relational mismatch. Attempts to marry the two models fall into one of the following techniques. Storing as a varchar: In this case, the entire XML document is simply copied whole into a varchar typed column. However, from the database perspective, this varchar is nothing more than a blob of unstructured data, which means it can t be indexed nor can you query for individual pieces of information within the XML. XML decomposition: This approach, sometimes referred to as shredding, entails decomposing the XML document into one or usually more database tables. Although this technique is most faithful to the relational model, some of the XML goodness is stripped away in the process. Namely, XML document order is not preserved, which is extremely important in cases where the XML truly represents a document rather than a collection of data. Partial decomposition: This approach is a combination of the first two. It involves storing the entire XML document in a large varchar column and also copying some of the data from the XML into relational tables. This provides indexing and querying abilities on the extracted data plus preserves the document order in the original XML. However, choosing which part of the XML to decompose can be a difficult decision that requires a large amount of foresight. Who knows how future applications may need to use and query the data
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