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

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.
To use the Output transformation, you need the appropriate license.