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. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Output transformation

Output transformation

The Output transformation is a passive transformation that you use to pass data from a mapplet to a downstream transformation.
Add output fields to the Output transformation to define the data fields you want to pass from the mapplet. You must add at least one output field to each output transformation. You can add multiple output transformations to a mapplet. Each Output transformation becomes an output group when you use the mapplet in a Mapplet transformation. You must connect at least one output group to a downstream transformation. You can connect an output group to multiple downstream transformations.
You can use an Output transformation in a mapplet but not in a mapping.

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