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. Plans and Workflows
  11. Monitor
  12. Reports
  13. ilmcmd
  14. Data Type Reference
  15. Data Type Reference for Hadoop

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. The mapplet can contain any passive transformations.
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.