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

Data Services transformation output fields

Data Services transformation output fields

View the output fields on the
Output Fields
tab of the
Properties
panel. The
Output Fields
tab displays the name, type, precision, and scale for each output field.
A Data Services transformation creates an outputBuffer output field for the messages that it processes. The transformation might create additional output fields, based on the status tracing level that you select for the transformation and on the data service usage type. For example, for a HIPAA restricted serialize service, the transformation creates output fields for error reports and for a validation report. If you use the Data Services transformation to validate incoming FHIR resources, the transformation creates output fields only for error reports and for a validation report.
If you use custom messages, configure additional output fields for custom message elements. To pass parameters to the output, create pass-through fields with an Input/Output field type and map them to output fields.
When you add a Target transformation to the mapping, the Data Services transformation maps all the output fields to the Target transformation. To receive the output in different targets, add more Target transformations to the mapping and configure field rules to exclude output fields that you don't want to send to the target. For example, to receive messages and validation reports in two different targets, add two Target transformations to the mapping. Exclude the validation report output fields from the target that receives the messages and exclude the outputBuffer output field from the target that receives the validation reports.

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