Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer 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
Select functions, ports, variables, and operators from the point-and-click interface to minimize errors when you build expressions.
The Expression Editor displays 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.
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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