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 Structure Parser transformation. The advanced properties control the transformation scope.
You can configure the following property:
Property
Description
Transformation Scope
Specifies how
Data Integration
applies the transformation logic to incoming data. Select one of the following options:
  • Transaction. Applies the transformation logic to all rows in a transaction. Choose Transaction when a row of data depends on all rows in the same transaction, but does not depend on rows in other transactions.
  • All Input. Applies the transformation logic on all incoming data. When you choose All Input,
    Data Integration
    drops incoming transaction boundaries. Choose All Input when a row of data depends on all rows in the source.
  • Row. Applies the transformation logic to one row of data at a time. Choose Row when the results of the transformation depend on a single row of data.