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There s an important difference between asynchronous and deferred message processing: asynchronous message processing defines that the work is done later, and deferred message processing defines when the work is actually done on the application server. The message can be processed immediately, in a few hours, or in a few days it depends on the message system configuration. Deferred message processing in an asynchronous scenario has the following advantages: The receiver controls when messages are processed. Load balancing occurs between several servers and during peak times. Fault tolerance exists on the receiving side. Let s assume you run a messaging system based on Service Broker in a company where a high message load occurs during normal work hours. With deferred message processing, you can configure Service Broker so that messages are only put into the queue during the day and are processed overnight when more resources are available. This means that user requests can be processed more quickly, and applications are more responsive under high loads. This is similar to doing automatic database backups at night another case where demand is less, and more resources are available at night. With load balancing, you can define on which server a message should be processed. This is useful when you have a high load of messages that must be processed quickly. You can deploy several instances of a Service Broker service and have clients connect to one of them. If you must take an instance offline, perhaps to perform some maintenance work on the server, your messaging system will continue to work without any problems or changes in configuration, because new requests from clients will be distributed among the other available Service Broker instances.

Figure 4-12. Our dataset query 14. Create a new dataset called WonDeals by right-clicking DataSource1 in the Report Data tab and selecting Add Dataset, which is shown in Figure 4-13. Figure 4-14 shows the window that will display once you click Add Dataset.

You can choose the SQLServer:Replication Snapshot performance object from the Add Counters window (shown earlier in Figure 17-5), but I want to show you how to set up the objects for snapshot replication in such a way that we can capture the baseline data. In the Performance window (shown earlier in Figure 17-1), right-click Counter Logs and select Add Counters. Give a name to the baseline in the Add Counters window, as shown in Figure 17-6.

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Figure 17-6. Selecting counters for the SQLServer:Replication Snapshot performance object The name of the Snapshot Agent is shown in the Instances of selected object list automatically. To add both counters, select the counters and click the Add button. If you cannot remember exactly what each of the counters does, select the one that you want to know about, and check the Show description check box. An explanation of the counter will be displayed. Next, let s see how the Distribution Agent is performing for the push subscription created for the pub_mysalesnew publication. Since latency is more important in transactional replication than in snapshot replication, I chose the Dist: Delivered Cmds/sec and Dist: Delivered Trans/sec counters. This is shown in Figure 17-7. In 6, I mentioned that locks are held by the Snapshot Agent on the database and the objects for the publication at the time of synchronization. We can get information on all the locks held by the SQL Server engine and all the locks on the database and database objects.

Messaging technologies can also help you provide fault-tolerant systems. You can achieve fault tolerance through the following ways in a message-based system: Reliable messaging Load balancing Dynamic rerouting Reliable messaging means that the sender can ensure that a message will arrive at the target. This reliability is completely independent of whether the target is currently available. If the target is offline, the messaging infrastructure on the client will try to resend the message to the target as long as the target is offline or otherwise not reachable through the network. This approach has several advantages: maintenance work can be done more easily, sent messages cannot be lost, and offline scenarios are supported.

Figure 17-7. Adding counters for the SQLServer:Replication Dist performance object To do this, I selected the _Total and Database instances for the SQLServer:Locks performance object. The counters that are of interest here are Average Wait Time, Lock Timeouts/sec, and Number of Deadlocks/sec. This is shown in Figure 17-8.

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