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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

Expression Masking

Expression Masking

Expression masking applies an expression to a port to change the data or create new data. When you configure expression masking, create an expression in the Expression Editor. Select input and output ports, functions, variables, and operators to build expressions.
You can concatenate data from multiple ports to create a value for another port. For example, you need to create a login name. The source has first name and last name columns. Mask the first and last name from lookup files. In the Data Masking transformation, create another port called Login. For the Login port, configure an expression to concatenate the first letter of the first name with the last name:
SUBSTR(FIRSTNM,1,1)||LASTNM
When you configure expression masking for a port, the port name appears as the expression by default. To access the Expression Editor, click the open button. The Expression Editor displays input ports and the output ports which are not configured for expression masking. You cannot use the output from an expression as input to another expression. If you manually add the output port name to the expression, you might get unexpected results.
Select functions, ports, variables, and operators from the point-and-click interface to minimize errors when you build expressions.
When you create an expression, verify that the expression returns a value that matches the port datatype. The Data Masking transformation returns zero if the data type of the expression port is numeric and the data type of the expression is not the same. The Data Masking transformation returns null values if the data type of the expression port is a string and the data type of the expression is not the same.

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