New-age Transactional Systems - Not Your Grandpa's OLTP
John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.
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Posted by Hartmut Wilms on Mar 13, 2008
Aaron Sloman and Haider Sabri gave a talk about "Creating a RESTful API with WCF" at MIX08 introducing a sample REST application called RESTChess.
The talks starts with some background information about the REST support within WCF provided by Aaron Sloman. Haider Sabri continues by giving a brief introduction to REST and its principals. According to Haider the key benefits of REST are
In his opinion "REST is best choice when creating a general API when clients are unknown".
WCF supports REST through the Web Programming Model, which has been added in the .NET Framework 3.5 and consists of the following concepts:
Haider Sabri introduces RESTChess, which is a RESTful API for a chess game. RESTChess is both a nice sample of a RESTful API implemented with WCF's Web Programming Model and a bunch of extensions (custom WCF bindings and behaviors) that (partially) make up for the shortcomings of the WCF web programming model:
Although the team had to add several missing pieces to the WCF web programming model, in Haider's opinion "the area where WCF shines is the ability to extend it, to insert into it, to build on the stack at a high level".
An interesting article, particularly with respect to its implementation.
However, its arguable that this is not an appropriate use of the REST architectural style. REST is most appropriate when dealing with resources (indeed, Representational State Transfer is a style of software architecture that is ideal for distributed hypermedia systems, and was first identified with the World Wide Web).
I would argue XML-RPC in conjunction with HTTP authentication (or, if you like complexity for the sake of it, SOAP) to be a better fit as it implies state on the server (unlike REST), and would result in a cleaner mapping to the underlying API.
John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.
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