Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. Web Services transformation

Transformations

Transformations

Active and passive Java transformations

Active and passive Java transformations

When you create a Java transformation, you define the behavior as active or passive. Define the behavior on the
Advanced
tab.
A Java transformation runs the Java code that you define in the On Input Row section of the Java editor one time for each row of input data.
A Java transformation handles output rows based on the behavior as follows:
  • An active Java transformation generates multiple output rows for each input row in the transformation.
    Use the generateRow method to generate each output row. For example, the transformation contains two input fields that represent a start date and an end date. You can use the generateRow method to generate an output row for each date between the start date and the end date.
  • A passive Java transformation generates one output row for each input row in the transformation after processing each input row.
You can change the transformation behavior. However, when you change the behavior, you must recompile the Java code.

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