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. Data Subset
  8. Data Masking
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Data Sets
  13. Plans and Workflows
  14. Monitor
  15. Reports
  16. ilmcmd
  17. tdwcmd
  18. tdwquery
  19. Data Type Reference
  20. Data Type Reference for Test Data Warehouse
  21. Data Type Reference for Hadoop
  22. Glossary

Custom Generation Parameters

Custom Generation Parameters

Configure input and output columns that you import from a mapplet when you create a custom generation rule.
The following table describes the general properties that you can configure for input and output columns:
Parameter
Description
Column Name
The name of an input or an output column within a mapplet. When you assign the rule to a column, you map the column names in the rule to column names in the database.
Column Type
The column type. The mapplet can contain the following types of columns:
  • Input. Receives the input data.
  • Output. Returns the output data.
Data Type
The data type of the column.
Precision
The precision for the column. The maximum number of digits or the maximum number of characters that the column can accommodate. For example, 874.560 has a precision of 6.
Mandatory
Indicates if you must assign the column to a table column in the project. Applies to input and output columns. You must set at least one input and one output column as required.
Group Name
Specifies the group to which the columns belong. The group name can be input, output, or any other name that you provide when you create a mapplet.