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. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Data Type Reference for Hadoop
  23. Glossary

Exception Test Data

Exception Test Data

Configure exception test data parameters to generate null and values that are not valid.
Select a global rule that you previously saved or select default to generate random null values and values that are not valid. Invalid values are data values that do not conform to the generation rule.
For example, you want to create a random date generation rule that generates 85% of the dates between 2012, and 15% of the dates between 2005 and 2010. You create a rule called Dates_2005 that generates dates from 2005 to 2010. You save the Dates_2005 rule. You create a rule called Recent_Dates that generates dates from 2012 to 2013. When you create the Recent_Dates rule, you select Dates_2005 in the invalid values parameter and enter 15 in the percent parameter.
You cannot generate null values for MongoDB sources.