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

Mapplet transformation names

Mapplet transformation names

Data Integration
renames the transformations in a mapplet when you use the mapplet in a Mapplet transformation. If you reference a transformation in the mapplet in a downstream transformation, be sure to use the updated name.
The mapplet that you use in the Mapplet transformation might contain transformations with names that conflict with the names of transformations in the mapping. To avoid name conflicts with transformations in the mapping,
Data Integration
prefixes the names of transformations in the mapplet with the Mapplet transformation name at run time.
For example, a mapplet contains an Expression transformation named Expression_1. You create a mapping and use the mapplet in the Mapplet transformation Mapplet_Tx_1. When you run the mapping, the Expression transformation is renamed to Mapplet_Tx_1_Expression_1.
If the mapplet contains another Mapplet transformation,
Data Integration
also prefixes the transformation names with the second Mapplet transformation name. For example, the mapplet in the previous example also contains a Mapplet transformation named MappletTx, which contains FilterTx_1. In the mapping, FilterTx_1 is renamed to Mapplet_Tx_1_MappletTx_FilterTx_1.
In most cases,
Data Integration
truncates transformation names that contain more than 80 characters.
Data Integration
doesn't truncate the names of Mapplet transformations that contain Hierarchy Builder, Hierarchy Parser, or Structure Parser transformations. When you use a Hierarchy Builder, Hierarchy Parser, or Structure Parser transformation in a mapplet, to prevent runtime errors, be sure that the combined Mapplet transformation name doesn't exceed 80 characters.
Data Integration
only renames transformations in mapplets when the mapplet is used in a mapping created after the April 2022 release.

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