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 Transformation Ports

Expression Transformation Ports

An Expression transformation has different port types that you can reference when you define expressions.
An Expression transformation has the following port types:
Input
Receives data from upstream transformations. If the Expression transformation does not change the port value, you can define a pass-through port instead of an input port.
Output
Contains the return value of the expression. You enter the expression as a configuration option for the output port. You can also configure a default value for each port.
If an expression results in numerical errors, such as division by zero or SQRT of a negative number, it returns an infinite or an NaN value.
Pass-Through
Define a pass-through port to pass the data through the transformation without changing the value. You can reference a pass-through port in a calculation, but you cannot change the data value in the pass-through port.
Variable
Temporarily stores data to use in expressions. You can store data across multiple rows. You can define an expression to return a value to a variable port.
Dynamic Port
Receives or returns ports in a dynamic mapping. A dynamic port can receive one or more columns from an upstream transformation and create a generated port for each column. A dynamic output port can return one or more generated ports. You can define input rules to determine which columns a dynamic port receives. A dynamic output port can contain an expression that generates multiple output ports.
Generated Port
A port that represents a single column within a dynamic port. The generated ports in the Expression transformation might change based on the columns that the Expression transformation receives from an upstream transformation.

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