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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Mapping Parameters

Mapping Parameters

You can use a mapping parameter to define a seed value. Create a mapping parameter for each seed value that you want to add to the transformation. The mapping parameter value is a number between 1 and 1,000.
When you configure data masking for a column, select Mapping Parameter for the seed. The Designer displays a list of the mapping parameters. Select a mapping parameter from the list. Before you run a session, you can change the mapping parameter value in a parameter file for the session.
Create the mapping parameters before you create the Data Masking transformation. If you choose to parametrize the seed value and the mapping has no mapping parameters, an error appears. If you select a port with a masking rule that references a deleted mapping parameter, the Designer generates a new random seed value for the port. The seed value is not a mapping parameter. A message appears that the mapping parameter is deleted and the Designer creates a new seed value.
The Integration Service applies a default seed value in the following circumstances:
  • The mapping parameter option is selected for a column but the session has no parameter file.
  • You delete the mapping parameter.
  • A mapping parameter seed value is not between 1 and 1,000.
The Integration Service applies masked values from the default value file. You can edit the default value file to change the default values.
The name-value pair for the seed is
default_seed = "500".
If the seed value in the default value file is not between 1 and 1,000, the Integration Service assigns a value of 725 to the seed and writes a message in the session log.

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