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There is one step left in the design process after the application of design patterns and the creation of our class diagrams. This step involves validating our architecture against the use cases. This ensures that the designed application satisfies the requirements. To perform our validation, we employ the use of a

If you have n rows in the table, and there are c concurrent sessions on average at any given point in time when a session starts, you re looking at the following at least: n c rows scanned in total at the leaf level, beyond the pages scanned by the seek operations that got you to the leaf You now need to figure out how this solution scales when the data volume increases Typically, such reports are required periodically for example, once a month, for the most recent month With the recommended index in place, the performance shouldn t change as long as the traffic doesn t increase for a month s worth of activity But suppose that you anticipate traffic increase by a factor of f .

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If traffic increases by a factor of f, both total rows and number of active sessions at a given time grow by that factor; so in total, the number of rows scanned at the leaf level becomes at least (n f)(c f) = n c f 2 You see, as the traffic grows, the cost doesn t increase linearly; rather, it increases in a quadratic manner ..

Next, let s talk about a cursor-based solution . The power of a cursor-based solution is that it can scan data in order . Relying on the fact that each session represents two events one that increases the count of active sessions, and one that decreases the count I ll declare a cursor for the following query:

sequence diagram. Sequence diagrams are a type of UML interaction diagram that show objects within the system interacting during the processing of a request. Figure 6.8 is a sequence diagram that shows the application flow for all three of our use cases. The sequence diagram is read from top to bottom beginning with the first arrow, or message. Continuing down, you can see the flow of events between application components. Sequence diagrams may be documented in much more detail, including return values, but this level is sufficient for our purposes. As we move into the implementation section, you can trace each request along three paths through the use case, the sequence diagram, and finally the code. Each object b is an instance of the classes from our class

SELECT app, starttime AS ts, 1 AS event_type FROM dbo.Sessions UNION ALL SELECT app, endtime, -1 FROM dbo.Sessions ORDER BY app, ts, event_type;

This query returns the following for each session start or end event: the application (app), the timestamp (ts); an event type (event_type) of +1 for a session start event or 1 for a session end event . The events are sorted by app, ts, and event_type . The reason for sorting by app, ts is obvious . The reason for adding event_type to the sort is to guarantee that if a session ends at the same time another session starts, you will take the end event into consideration first (because sessions are considered to have ended at their end time) . Other than that, the cursor code is straightforward simply scan the data in order and keep adding up the +1s and 1s for each application . With every new row scanned, check whether the cumulative value to that point is greater than the current maximum for that application, which you store in a variable . If it is, store it as the new maximum . When you re done with an application, insert a row containing the application ID and maximum into a table variable . That s about it . The following code has the complete cursor solution:

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