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