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. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. 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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