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 Overview

Expression Transformation Overview

The Expression transformation is a passive transformation that you can use to perform calculations or to test conditional statements in a row. In non-reusable Expression transformations, you can define a mapping output expression to aggregate when you define mapping outputs.
In a single row, you might need to create an expression to adjust employee salaries, to concatenate first and last names, or to convert strings to numbers.
The following figure shows an expression in an Expression transformation that concatenates the first name, a space, and the last name:
The figure shows the Functions tab, Ports tabs, and Expression area. You can enter an expression in the Expression area. While entering the expression, you can drag a function from the Functions tab or a port from the Ports tab to the Expression area.
You can enter multiple expressions in an Expression transformation by creating an expression for each output port. For example, you might want to calculate different types of taxes from each employee paycheck, such as the local and the federal income tax. Both tax calculations require the employee salary and a tax rate. Define a separate output port for each calculation. Define a different expression for each output port. You can define pass-through ports for the salary and tax rate because the port values do not change.

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