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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

Numeric Sequence Generation Parameters

Numeric Sequence Generation Parameters

Create sequence generation rule for numeric data types.
The following table describes the parameters that you can configure to generate a sequence of data for numeric data type:
Parameter
Description
Start Value
The minimum value to start generation of a sequence. You can enter a number to generate the sequence data.
Increment Value
The value to increment after the start value during generation of the sequence data. You can enter a number to increment the value.
Start Sequence from Last Value
Starts the sequence from the last output value when you run the plan again.
If you try to generate numbers in a column with string data type and if you choose to start the sequence from the last value, TDM generates values from the beginning when you run the plan again.
Null Values
A list of global rules or default rule that are available for the numeric data type. A null value is value that a default rule or a global rule generates in the target column for the numeric data type.
Invalid Values
A list of global rules or default rule that are available for the numeric data type. Any value that is less than the sequence start value for a positive increment or more than the sequence start value for a negative increment is not valid.

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