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

Transformations

Transformations

Configuring a Structure Parser transformation

Configuring a Structure Parser transformation

Add a Structure Parser transformation to a mapping and configure transformation settings.
  1. Add a Structure Parser transformation to the mapping and configure general settings.
  2. On the
    Properties
    panel, click
    Structure Parser
    and choose one of the following options to associate an
    intelligent structure model
    with the transformation:
    Option
    Description
    Select
    Select an existing
    intelligent structure model
    .
    New > Design New
    Create a new model in the
    Intelligent Structure Model
    page.
    New > Auto-generate from sample file
    Select a sample file and a location for the model and click
    Create
    .
    Intelligent Structure Discovery
    creates the model and saves it in the selected location.
  3. Select the output type for the Structure Parser transformation from the
    Output As
    list.
  4. If you select the JSON output type, you can select
    Include empty tags
    to add all the model tags to the output at run time, including tags that don't exist in the input. The transformation adds tags that don't exist in the input as empty tags with a NULL value.
  5. On the
    Properties
    panel, click
    Incoming Fields
    and configure the incoming fields.
  6. On the
    Properties
    panel, click
    Field Mappings
    and configure field mapping.
  7. Optionally, on the
    Properties
    panel, click
    Advanced
    and configure the transformation scope.
  8. Link the previous transformation on the map to the Structure Parser transformation
  9. Link the Structure Parser transformation to the downstream transformation and select an output group.

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