Lesson 3: Creating Queues and Services in VS .NET

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Lesson 3: Creating Queues and Services
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A second piece of the activation algorithm helps balance the resources available for processing. If a stored procedure is already running to process messages in the queue, the rate at which messages are dequeued is compared to the rate at which they are enqueued. If Service Broker determines that messages are arriving faster than they can be processed by the existing procedures already running, another copy of the stored procedure is launched, up to t he maximum number conf igured in t he MAX_QUEUE_READERS option. Activation is not a requirement for coding Service Broker applications because many methods for processing messages are equally valid. However, queue activation makes it much easier to write automatic processing algorithms.
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Michael Hotek In mid-2005, I was working with a customer to define the company s adoption path for SQL Server 2005. The firm performed many tuning iterations on its application and was still barely getting by. And the IT staff hoped that SQL Server 2005 would be able to help them increase the capacity of their application because they could switch to a code base written natively in 64-bit code running on new 64-bit dual-core machines. We started by looking at the types of queries the application was running and the execution statistics for those queries. What we encountered was a relatively interesting distribution of queries in the environment. It turned out that a single stored procedure was responsible for more than 95 percent of the total query volume executed against the core server. This procedure normally ran in a few milliseconds, but the purpose of the procedure was to check for new work to perform. The application managed an automated testing platform. Test administrators would define new tests and then dispatch them. An infrastructure component would then assign the test to a machine, the machine would execute the test, and the results would be returned to the central test dispatcher. We originally thought that tests were pushed out to the target machine, which was an incorrect assumption on our part. The set of tests to execute were added to a processing queue. Each machine in the architecture would then periodically poll for new work to perform. When tests were found in the queue that had not yet been assigned, the dispatcher would assign the test to a machine so that other machines would not also
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Working with Service Broker
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execute the test. All the metadata related to the test to execute would then be downloaded to the machines. After they received the downloaded metadata, the machines would perform all the tasks necessary to complete the tests and then upload the results back to the dispatcher. The story doesn t end there, though. Machines could crash, lock up, become unresponsive, and otherwise fail. After all, the company was testing applications to find bugs, and some of those bugs could cause problems on the machines. So after a test was dispatched, another component would periodically poll the machines to ensure that they were still alive and the test was still executing. This polling accounted for another 4 percent of the queries within the architecture. In summary, a large amount of effort was expended in building a highly scalable and robust system to dispatch tests and receive results. The system had to handle thousands of test machines with hundreds of test administrators, and it would need to be extended into tens of thousands of test machines in the future. The existing system simply could not cope with the volume. This is where Service Broker in particular, queue activation could play an extremely important role. Instead of having to constantly poll for new work, the system could implement queue activation to dispatch work when new messages reach the queue. Because Service Broker ensures that a message is processed only once, the infrastructure was already in place to ensure that two machines wouldn t receive the same test. The semantics available within a Service Broker conversation let a test be aborted when the test machine hasn t responded within a specified period of time while also enabling the infrastructure to send periodic status updates. Because of the transactional nature that you can impose in Service Broker, if a test machine were to crash, the message that initiated the test would be placed back in the queue and could be immediately dispatched to another machine for processing. This customer s conversion from its previous architecture into a new Service Broker based architecture is still ongoing. But we will be able to eliminate almost 98 percent of the queries that are currently being executed and replace them with queue activation. The Service Broker infrastructure will also replace all the custom code that needed to be written to manage the custom queue infrastructure. Service Broker will allow the existing platform to scale much further and will provide new features that can drive the testing process even more reliably than before.
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