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Description: Displays the SQL statement, the error text, and details (if available) Use: Displays the call stack leading to the traced statement Tables: Displays the tables involved in the statement The buttons on the form are quite powerful and useful in working with the traces: Execution Plan: Displays the statement, the selected traced statement, and its execution plan in a tree; you can then calculate the cost of the plan, edit it, and recalculate the cost of executing the new plan. Edit Source Code: Places you in the X++ editor at the point in the code where the statement is executed. Functions: Has three suboptions: Import: Allows you to import a log produced in another system for you to analyze Export: Allows you to export a log so you can send it to another person for analysis Clear Log: Deletes the records in the log Last of all, the Axapta system monitor shown in Figure 19-6 is a great little tool for everyone interested in what their system is up to in real time. You can get hold of it by double-clicking on the disk icon on the right side of the Axapta status bar or via the path Tools Development Tools System Monitoring.

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Figure 5-4. Comparing standard update batching with Oracle update batching in terms of latches consumed We can make the following observations from the charts in Figure 5-3 and Figure 5-4: Batching makes a huge difference, both in elapsed time and in latches consumed. Without batching enabled (or equivalently with a batch size of 1), the average time taken is 13,201 milliseconds compared to the worst case of 2,861 milliseconds and the best case of 207 milliseconds when batching is used. Similarly, the latches consumed go down dramatically once batching is used, as shown in Figure 5-4. In general, in terms of elapsed time, Oracle update batching performs better than standard update batching. In the preceding experiment, standard update batching took between 1% to 30% more time as compared to Oracle update batching, depending on the batch size. In terms of latch consumption, the difference between Oracle update batching and standard update batching seems to be negligible. Although Oracle documentation recommends a batch size of 5 to 30 as optimal, the preceding case shows that a batch size of around 200 was best for standard update batching, and a batch size of around 3,000 was best for Oracle update batching in terms of elapsed times. In terms of latch consumption, a batch size of 2,000 was best for standard update batching, whereas a batch size of 750 resulted in the lowest number of latches consumed for Oracle update batching. Of course, this does not prove that these batch sizes are always optimal it only demonstrates that you should benchmark critical portions of code using an experiment such as that just presented to find out what the optimal batch size is in your case.

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The AuthorizationRules class will provide access to the list of roles allowed or denied read or write access to each property. When implementing the GetRolesForProperty() method that returns this

The left side of the page is the EP menu, which is how you navigate. Select My Documents and go to the corresponding page, where you can see the documents you have authored, edit them, and create new ones. It should resemble Figure 16-7, but contain the articles that you have created in the categories that the current user is subscribed to. What you can do here should be quite intuitive to you by now, so just experiment with it.

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Notice that as the batch size increases, you gain in terms of elapsed time initially, and then you start witnessing a negative effect. For example, in the case of Oracle update batching, after a batch size of 3,000 you start seeing decreasing performance. This indicates that you cannot blindly set the batch size to the maximum number of records you modify; rather, you have to benchmark your particular scenario to arrive at an optimal batch size. It is a good idea to parameterize the batch size for an important set of operations so that you can easily change it.

information, the calling code needs to specify the operation (read, write and allow, deny) for which the roles should be returned. The AccessType enumerated value defines the following options: public enum AccessType { ReadAllowed, ReadDenied, WriteAllowed, WriteDenied } This enumerated value will be used in the AuthorizationRules class. It may also be used by business developers if they need access to the list of roles perhaps to implement some type of custom authorization for a specific object.

Summary

The last feature of CMS is the ability to conduct online polls. Before you can use a poll, you need to create it using the main application menu form at path Administration Setup Internet Content Management Polls, as shown in Figure 16-8.

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