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

Mapplet Rules

Mapplet Rules

You can create rules from a mapplet. The mapplet contains the logic to mask the input columns and return data to the target columns. When you create a rule from a mapplet, you assign the mapplet column names to input and output columns when you assign the rule to a column in the data source.
Import a mapplet from an XML file that you exported from the Model repository or the PowerCenter repository. The mapplet can contain any passive transformations.
To perform TDM masking operations, you can import PowerCenter mapplets.
To mask Hadoop data, you can import the mapplets that you create in the Developer tool. You cannot use sequence generator, lookup, and classifier transformations when you import mapplet to mask Hadoop data.
A mapplet can contain multiple input and multiple output columns. All columns might not be available in all projects. You must configure one input column and one output column as required columns. The mandatory columns must have source and target assignments when you assign the rule to a column in the data source. Test Data Manager has an interface to assign multiple columns to a rule from a mapplet.
The TDM repository stores the mapplet logic when you import the mapplet. You cannot change the mapplet in Test Data Manager.