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Performance is of particular interest to administrators who have to plan their infrastructure upgrades to avoid disruption of service as loads increase. Using the performance tools in Axapta you can monitor how the system is performing against a reference set of points and use that to determine when the current setup will start to perform below required standards, so that you can take preventive action in due time. The first thing you need to do is to establish a reference or baseline set of performance metrics. You can do this using the main application menu path Administration Periodic Performance Analysis Performance Test Wizard, and you will be required to establish the baseline. The first time you use it you should run the Performance Test Wizard with the minimum set of processes running that will create a reference and you don t want other processes to interfere with it. Select OK in the dialog to create a reference test and check all the performance tests available, as shown in Figure 21-11. The reference test run gives you a basis for comparison for when you run a test or set of tests again. By comparing the results of the different tests you get a picture of how performance is evolving over time on your system, and you can extrapolate that to calculate when you will need to intervene.

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Now the same delete should work as follows: benchmark@ORA10G> delete components_or_view 2 where component_id = 1; 1 row deleted. Phew! That completes our section on instead of triggers to enable DMLs on object views. They are complicated (especially the ones enabling updates); however, the fact that they need to be written only once per object view is a bit encouraging from the maintainability point of view. Once the triggers have been written, the calling code can work transparently on them. Of course, you still need to maintain them as the schema changes, but schema changes are relatively rare, in general. In the next section, we will compare the performance of DML statements on solutions that use object views, relational tables, and nested tables to store parent child data.

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object System.Collections.IList.this[int index] { get { return this[index]; } set { this[index] = (T)value; } } This index delegates its work to the strongly typed indexer implemented previously.

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You now know three approaches of storing parent/child type of data: good old relational tables, nested tables, and object views on top of relational tables. Which ones should you use Since this book is focused on performance, we will compare these three methods to see which ones fare better as far as performance goes. Intuitively, an approach based on relational tables should outperform the other two approaches. However, we still need to ascertain by approximately how much. Also, it would be interesting to know the difference in performance between the nested table based approach and the object view based approach, as they are more or less equivalent in functionality and expressiveness (once all the instead of triggers on the object view are in place). So without further ado, let s look at the package that compares insert, delete, and update on the three approaches based on the schema that we created earlier. The package will perform various DML operations on the relational schema, the schema that used nested tables to store data, and the object view based schema that we examined earlier. I explain the code in comments interspersed within the package code. benchmark@ORA10G> create or replace package or_nt_rel_pkg 2 as 3 g_num_of_select_runs constant number := 10000; 4 g_num_of_child_updates constant number := 10000; 5 part_rel_id number := 1; 6 part_or_id number := 1; 7 part_nt_id number := 1; 8 9 procedure do_or_select; 10 procedure do_nt_select; 11 procedure do_rel_select; 12 procedure do_or_insert( p_num_of_parents in int := 50, 13 p_num_of_children in int := 500 ); 14 procedure do_nt_insert( p_num_of_parents in int := 50, 15 p_num_of_children in int := 500 );

Using the form at Administration Inquiries Performance Analysis Load Overview (shown in Figure 21-12), you can see your system s current load and how close to or far from disaster you are. (Actually, it would be more correct to view the load as how fast your system is responding.)

There are two ways to get items from a collection: the indexer and an enumerator. The enumerator is used by the foreach statement to loop through all items in the collection. Obviously, it too needs to perform a cross-reference process, so a foreach loop goes through the sorted index and returns the corresponding item from the original collection. There are two steps to this process. First, the custom enumerator class must understand how to perform the cross-reference process. Second, SortedBindingList needs to expose a GetEnumerator() method that returns an instance of this custom enumerator (or the original collection s enumerator if no sort has been applied).

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Note In practice, the load overview can be quite misleading; the current load doesn t really tell you if it s

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