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

Defining a Hierarchy Processor transformation

Defining a 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 relational input and hierarchical output:
The Hierarchy Processor tab of the Hierarchy Processor transformation contains the source input groups and their incoming fields. The tab also contains the target output group and its output fields. The Data Configuration icons and links to output field expressions provide ways to define the data processing strategy.
  1. Input groups, incoming fields. Use these fields to map to the output fields.
  2. Output group, output fields. Use these fields to create the complex output file.
  3. Data Configuration icons, field expressions. Use to configure the output fields.
  4. Output data format. Use this to specify hierarchical or relational output data format.
  5. Add incoming field to output group. Use to add fields to the output group.
  6. Add output field. Use to create 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:
  1. Configure the transformation output by adding incoming fields to the output or by manually adding fields to the output.
  2. If the output is relational, optionally generate keys for the input group to define relationships between output groups.
  3. Configure the output data.
    Configure data sources and optionally add filters. If the output is hierarchical, you can also join data sources if required, and optionally add group by and order by fields.