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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

Effective Dates Generation

Effective Dates Generation

An effective dates generation rule is an ad hoc rule that generates related date data for two columns. The effective dates are sequences of dates that consist of start dates and end dates. You can create effective dates rules with the date data type.
An effective dates generation rule generates a random start date within a range. The rule creates an end date that is after the start date and another start date that immediately follows the end date. The number of rows in the grouping column that have the same value determines the number of dates in the effective dates sequence.
The column in which you create the rule must be either the effective start date or the effective end date. If you create the rule on the effective start date column, you must select a different column as the effective end date column. If you create the rule on the effective end date column, you must select a different column as the effective start date column. The rule generates date values for both columns. You select the grouping column to generate sequences of dates in multiple rows.
The following image shows the effective dates generation parameters:
The effective dates parameters are start date and time, end date and time, exclude, null values, and invalid values.

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