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  • Informatica Data Quality 10.4.0
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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

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Editing a Reusable Transformation

Editing a Reusable Transformation

When you edit a reusable transformation, all instances of that transformation inherit the changes. Some changes might invalidate the mappings that use the reusable transformation.
You can open the transformation in the editor to edit a reusable transformation. You cannot edit an instance of the transformation in a mapping. However, you can edit the transformation runtime properties.
If you make any of the following changes to a reusable transformation, mappings that use instances of it might not be valid:
  • When you delete one or more ports in a transformation, you disconnect the instance from part or all of the data flow through the mapping.
  • When you change a port datatype, you make it impossible to map data from that port to another port that uses an incompatible datatype.
  • When you change a port name, expressions that refer to the port are no longer valid.
  • When you enter an expression that is not valid in the reusable transformation, mappings that use the transformation are no longer valid. The Data Integration Service cannot run mappings that are not valid.
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