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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

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Defining relational output with the Hierarchy Processor transformation

Defining relational output with the Hierarchy Processor transformation

To define a Hierarchy Processor transformation, use the
Hierarchy Processor
 tab to map incoming fields to output fields, configure the output data structure, and optionally generate keys for relational output.
The following image shows the
Hierarchy Processor
 tab with hierarchical input and relational output:
The Hierarchy Processor tab appears with Output Format Relational selected. The transformation contains the incoming fields in the left panel and an output group and fields in the right panel. The Data Configuration icons, links to output fields, and links to expressions provide ways to define the data processing strategy.
  1. Output format. Select
    Relational
     to convert incoming hierarchical data into one or more relational output groups.
  2. Input groups, incoming fields. Use these fields to map to the output fields.
  3. Output group, output fields. Use these fields to create the complex output file.
  4. Generate keys. Optionally generate keys for the input group to define relationships between output groups.
  5. Add incoming field to output group. Use to add fields to the output group.
  6. Output field names. Click on a field name to modify the field name or data type.
  7. Data Configuration icons. Use to configure the output groups and fields.
  8. Expression. Click on an expression to view or customize the output field expression.
  9. Add or delete output field. Use to create or delete output fields.
You can resize the Incoming Fields or Output Fields panels to better see the information.
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