Table of Contents

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

Transformations

Transformations

Active and passive Python transformations

Active and passive Python transformations

When you create a Python transformation, you specify how it generates output rows by defining the behavior as active or passive. You define the behavior on the
Advanced
tab. By default, the Python transformation is active.
A Python transformation handles output rows based on the behavior as follows:
  • An active transformation can change the number of rows that pass through it.
    To define the number of rows in the output, call the generateRow() method in the code to generate each output row. You might choose to generate multiple output rows from a single input row or generate a single output row from multiple input rows. For example, if the transformation contains two incoming fields that represent a start date and an end date, you can call the generateRow() method to generate an output row for each date between the start date and the end date.
  • A passive transformation cannot change the number of rows that pass through the transformation. The transformation calls the generateRow() method to generate an output row after processing each input row.