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

Defining flattened output with the Hierarchy Processor transformation

Defining flattened output with the Hierarchy Processor transformation

Use the
Hierarchy Processor
tab to map incoming fields to output fields. The flattened output option allows you to create denormalized output.
The following image shows the
Hierarchy Processor
tab with hierarchical input and flattened output:
The Hierarchy Processor tab appears with Output Format Flattened selected. The transformation contains selectable incoming fields in the left panel and an output group and fields in the right panel. Links to output fields provide ways to modify output fields. Field expressions are also visible in the left panel.
  1. Output format. Select
    Flattened
    to convert hierarchical input into denormalized output.
  2. Incoming fields. View the incoming data schema and field types.
  3. Output fields. View the output fields as you create the output file.
  4. Configure the output. Select incoming fields to build the flattened output file schema.
  5. Output field names. Click on a field name to modify the field name.
  6. Expression. View the field expressions to determine the input to output field mappings.
  7. Delete. Use to delete output fields.
Use the maximize icon and resize the Incoming Fields panel or Output Fields panel to see the information you need.
To define a Hierarchy Processor transformation with flattened output, perform the following tasks:
  1. Select the
    Flattened
    output format.
  2. Configure the transformation output by selecting incoming fields to add to the output.
  3. Optional. Rename output fields.
  4. Optional. Delete output fields.

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