Table of Contents

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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Appendix A: Data Type Reference
  21. Appendix B: Data Type Reference for Test Data Warehouse
  22. Appendix C: Data Type Reference for Hadoop
  23. Appendix D: Glossary

Project Configuration for the Old Dictionary Optimization Algorithm

Project Configuration for the Old Dictionary Optimization Algorithm

You can configure Test Data Management to use the earlier dictionary usage optimization algorithm for all plans that you run in a project.
The option to optimize dictionary usage in substitution masking used a specific algorithm to ensure optimal use of dictionary entries in masked data. Version 10.5 uses a newer algorithm that provides better use of dictionary values.
If you have previously used the option and want consistent results for the same source data in version 10.5, you can add a default project field to allow you to choose to use the old algorithm in a project.
Add the following default field to the project configuration:
Enable Old Dictionary Optimization
The field takes values True or False.
Set the value to True in projects where you have previously used the optimization option to mask source data and want to ensure consistent masked output.
Set the value to False if you have not previously used the option with the source data or want to use the updated algorithm for optimal dictionary usage.
If you create the default field and do not set a value, the project uses the new algorithm for optimizing dictionary usage.