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

Data source configuration

Data source configuration

In a Hierarchy Processor transformation, a data source must be configured for the output group and for all array and struct fields in the output. A data source identifies the input group or incoming array that populates the primitive child fields for the output group or field.
If you select a field as a data source, you have access to the following objects:
  • All its primitive children
  • All its ancestors’ primitive children
  • Individual elements of its array children
  • Individual elements of its ancestors’ array children
You can configure multiple data sources for an output group or field. If you do this, you must configure a join condition to join the data.
You can configure filters to exclude certain records. You can also specify group by fields for aggregating the data and order by fields for sorting records.
If the output is relational, the data source for the output groups is always the input group or an incoming field. For example, you add an array to the output group. If you add single occurring children, the data source for the output group is the input group. If you add all descendants, the data source for each output group is an incoming field array.
If the output is hierarchical, the data sources for the output group and fields can vary based on the output data structure.