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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

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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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