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

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 repot.
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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