Performance and finetuning (CE)This section describes how you can optimize the performance of the Data Upgrade Engine ( DUE). The performance of the DUE is influenced by:
You can use the Call Graph Profiler to identify potential performance bottlenecks. See Using the Call Graph Profiler. Runtime class During initialization of the DUE run, the upgrade programs determine their runtime class. This is based on factors such as parameter settings, table sizes, and source feature pack. Common rules are used. For your specific environment there may be factors that lead to a not optimal determination of the runtime class. As a result long running tasks may be scheduled later than small tasks. This causes a longer total elapsed time. We recommend to perform a test upgrade run before you start the real run. You can analyze the results of the test run, and optimize the running class where necessary. Complete these steps:
Additional servers In the Number of Additional Servers field in the Data Upgrade Engine (ttspt2201m000) session, you can specify the number of additional bshells that will be used to run the Data Upgrade Engine. Additional bshells can greatly improve the performance of the DUE because several upgrade tasks can be started in parallel. The maximum number of additional servers that can be used is restricted by the Infor Cloud team. Note If you set the Number of Additional Servers field to 0, the DUE is run in a single bshell. Using the local server for processing When you use additional bshells, the local bshell , where the Data Upgrade Engine (ttspt2201m000) session is started, schedules the upgrade tasks. This local bshell gathers the list of upgrade programs that must be executed and spreads the work over the different bshells. If you select the Use the local Server for processing check box in the Data Upgrade Engine (ttspt2201m000) session, the local bshell will not only schedule the upgrade tasks but will also run upgrade tasks. We recommend the following:
Using sub-tasks Some long running upgrade tasks have sub-tasks. These sub-tasks are defined in the upgrade programs delivered by Infor and are created during the initialization of a DUE run. Each sub-task has its own data range to perform a part of the upgrade task. To improve the performance of the DUE, sub-tasks can be run in parallel in different bshells. If a task is sub-task enabled, you can manually add, change, or remove sub-tasks. See the online help of the Sub-Tasks (ttspt2535m000) session. This session runs in a tab in the Data Upgrade Tasks (ttspt2520m100) details session. Using the Call Graph Profiler To identify potential performance bottlenecks, you can run the Data Upgrade Engine with the Call Graph Profiler activated. To view the generated files, use the Files (ttspt2530m000) session. The names of the generated files have this format:
To use the Call Graph Profiler, start the Debug and Profile 4GL (ttadv1123m000) session and select the Profile Mode check box. For details on the Call Graph Profiler, see these documents:
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