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

Transformations

Transformations

Advanced properties

Advanced properties

You can configure advanced properties for a Union transformation. The advanced properties control settings such as the tracing level for session log messages and whether the transformation is optional or required.
The properties that appear in the transformation depend on the mapping type.
You can configure the following properties:
Property
Description
Tracing Level
Detail level of error and status messages that
Data Integration
writes in the session log. You can choose terse, normal, verbose initialization, or verbose data. Default is normal.
Optional
Determines whether the transformation is optional. If a transformation is optional and there are no incoming fields, the
mapping
task can run and the data can go through another branch in the data flow. If a transformation is required and there are no incoming fields, the task fails.
For example, you configure a parameter for the source connection. In one branch of the data flow, you add a transformation with a field rule so that only Date/Time data enters the transformation, and you specify that the transformation is optional. When you configure the
mapping
task, you select a source that does not have Date/Time data. The
mapping
task ignores the branch with the optional transformation, and the data flow continues through another branch of the mapping.