Creating a globally optimized strategy

Increase the performance of your strategy by creating a globally optimized instance of your rule. You can also use a globally optimized strategy as a substrategy to decrease code size and increase performance of the top-level strategy that is not optimized.

  1. Create an instance of the Strategy rule with the Global optimization option enabled:

    • In the View additional configuration options , select Global optimization .
    • Enter the Apply To class of the strategy that you want to optimize.
    Note: The globally optimized strategy is a beta feature; some of the Strategy components cannot currently be optimized.

  2. On the Global optimization tab, select a strategy that you want to optimize.

  3. To see the optimization status of individual substrategies and strategy components, click Expand strategies .
    Note: You can disable optimization of substrategies that consist of components that cannot be optimized or when you want to create separate globally optimized instances for such substrategies.

  4. In the Output optimization tab, select properties that you want to calculate in the optimized strategy.

  5. In the Test tab, specify the source and subject of the test run

    Select one of the following options:

    • Data transform to specify a Data transform instance as the subject of the test run.

    • Data set to use a particular data set as the subject of the test run (for example, a data table with customers) and perform the following actions:

      1. Select a data set that is the source of the test run.
      2. In the Subject ID field, specify the record (customer) that is the subject of the test run.

    • Data flow to use a data flow as the source of the test run and perform the following actions:

      1. In the Data flow field, specify the data flow that is the source for the test run.
      2. In the Subject ID field, specify the record (customer) that is the subject of the test run.

      When you test a strategy on a data flow, the system runs the specified data flow, and then uses the output of that data flow for the selected subject ID in the test run.

  6. To see differences between non-optimized and optimized results, click Compare.