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
Strategy designers create globally optimized strategies to reduce the
computation time and memory consumption when running large-scale batch data flows and
simulations. Improvements to the Strategy rule performance are the results of decreased run time
and quality changes to the code generation model. Strategy designers create a globally optimized
strategy by referencing an existing strategy that they want to optimize and by selecting output
properties that will be in the optimized strategy result.
Strategy optimization is done on the component level. The
following strategy components can be optimized:
- Sub Strategy (only the Current page option)
- Proposition Data (without the Interaction History option)
- Data Join
- Set Property
- Filter (only the Filter condition option)
- Champion Challenger
- Group By
- External Input
Optimized strategies can work with non-optimized components.
- Create an
instance of the Strategy rule
with the Global optimization option enabled by
performing the following actions:
View additional configuration
- 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.
tab, select a strategy that you want
To see the optimization status of individual substrategies and strategy components,
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
tab, select properties that you want
to calculate in the optimized strategy.
- In the Test tab, specify the source and subject of the test run by selecting one of the
To specify a Data transform instance as the subject of the test run, select
To use a particular data set as the subject of the test run (for example, a data
table with customers), go to step
To use a data flow as the source of the test run, go to step
- Use a particular data set as the subject of the test run by performing the following
- Select a data set that is the source of the test run.
- In the Subject ID field, specify the record (customer) that is the subject of the
- Use a data flow as the source of the test run by performing the following
field, specify the data flow that is the
source for the test run.
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
To see differences between non-optimized and optimized results, click