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CHAPTER 21 DEPLOYMENT
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Figure 21-2. The company creation page
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The page that follows allows you to initialize the benchmark company account using data that you have created and exported yourself. You can use it to benchmark the different systems that you are assessing.
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Note Using a data set that you have created previously is especially useful when you want to benchmark
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an existing system with large quantities of data, because Axapta performance does not deteriorate gracefully with increases in data, due to a poor data-model design. However, making sure that you have data for all the different tests available with the benchmark tool out of the box is impractical, so focus on testing specific functionality whose data models you know well.
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The wizard then asks you to create a laboratory that allows you to group the tests you run for comparison with the results run on other systems, or for that matter with other test groups (or labs, in Axapta speak). Figure 21-3 shows the wizard page for this.
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Figure 21-3. The Laboratory page
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The next page allows you to create a series that corresponds to a test run. In other words, you can have several labs all the test data for a specific system which in turn contain test series, with each series containing a set of benchmarking tests and benchmarking test results. The wizard will display a summary of what you have specified. Click on the Finish button to proceed and go to the Data Creation form shown in Figure 21-4, where you will see a standard benchmark definition for the data to be created for your lab. The benchmark building block corresponds to the Axapta modules for which a data set will be generated. The check-box field indicates that benchmarking data should be generated for the corresponding module, and the Scaling field specifies how much data to generate for the module, proportionally to the others (i.e., how much it should weigh in the data set for the lab).
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Figure 21-4. The Data Creation form
Note Unless you really know what you are doing and you re creating a lab to test a specific module or
modules with well-known relative weights, just keep the standard definition. What s important is that you always use the same data set so you can compare labs.
On the form shown in Figure 21-4, there is a very interesting button called Setup. It opens the Base Data form shown in Figure 21-5, where you can see which tables in the selected module data will be created.
Note Do not alter the scaling factors for the different modules or building blocks within them just stick
to using the default values.
CHAPTER 21 DEPLOYMENT
Figure 21-5. Building-block data At this point, click on the Initialize Database button on the Data Creation form to generate the data you need for benchmarking your system.
Note The data is generated programmatically and is meaningless; its only purpose is to provide a raw
data set.
Running Benchmarks
Selecting the tool bar menu path Tools Development Tools Benchmark does not start the Data Creation Wizard, but instead displays the application menu designed specifically for the benchmark module, shown in Figure 21-6.
Figure 21-6. The Benchmark application menu
CHAPTER 21 DEPLOYMENT
Running a benchmark consists of the following: Creating the run itself using the corresponding menu option on the Benchmark tab of the application menu Starting client emulators using the Client Control menu option Starting the benchmark cockpit, from where you can control the execution of the selected run Actually running and stopping the benchmark run from the cockpit Let s start with creating the run by using the benchmark application menu. Benchmark Benchmark Run brings up the Benchmark Runs form shown in Figure 21-7.
Note Always make sure you have selected the benchmark company when performing these steps.
Figure 21-7. The Benchnark Runs form
CHAPTER 21 DEPLOYMENT
Describing the benchmarking tool in fine detail is beyond the scope of this book, but here is a summary that will get you going and from which you can investigate further: The top pane lists existing runs and run information, and the bottom pane provides information on the benchmark scripts executed during the run, with the check-box column indicating whether the script is actually executed. Main Loops indicates the number of times the script is executed, and Script Weight tells you how much relative load each creates. Finally, Number of Scripts is the number of times to execute the respective script.
Note The online help (accessed via F1) is not very informative, but it does provide some extra information
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