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

Mapping hierarchical fields

Mapping hierarchical fields

To map hierarchical fields in the request mapping, the hierarchies of the incoming fields and request schema fields must match.
For example, the following image shows a request schema in an API collection:
An API collection has a request schema that contains two structs. The first struct represents a full name with first name and last name elements. The following struct represents an address with state, place, and ZIP code elements.
The following image shows incoming fields in a Machine Learning transformation with a hierarchy that matches the request schema:
The Incoming Fields tab is selected in a Machine Learning transformation. The tab lists two structs. The first struct represents a full name with first name and last name elements. The following struct represents an address with state, place, and ZIP code elements.
The following image shows the request mapping between the incoming fields and the request schema fields:
The Request Mapping tab is selected in a Machine Learning transformation. The Incoming Fields side contains two structs that represent a full name and an address, respectively. The incoming fields are mapped to corresponding structs on the Request Schema Fields side.
If the hierarchies don't match, use a Hierarchy Processor transformation before the Machine Learning transformation to restructure the incoming data according to the request schema fields. For more information, see Hierarchy Processor transformation.

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