Table of Contents

Search

  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

Output data configuration

Output data configuration

The Hierarchy Processor transformation allows you to define the data processing strategy in the mapping.
When the output data format is relational, you can configure filter conditions.
When the output data format is hierarchical, you can configure data source join and filter conditions as well as group by and order by fields. You can aggregate on both the input and output data.

Order of operations

When the output data format is hierarchical, the order of operations is as follows:
  1. Join. Specify join conditions in the data sources.
  2. Filter. Optionally, specify filter conditions to include only a subset of the source data.
  3. Group By. Optionally, specify input fields for aggregate expressions.
  4. Order By. Optionally, specify input fields to create sorted output.

Renaming and deleting input groups

When the output data format is hierarchical, you can rename or delete input groups.
When you modify the input group, the following configurations are also updated, if they refer to the input group:
  • Input data source names
  • Join data source names
  • Order by fields
  • Group by fields
However, you must modify the following configurations manually:
  • Expressions
  • Join conditions
  • Filter conditions
When the output data format is relational, you cannot change the input group name.

About aggregation

When the output data format is hierarchical, you can aggregate both the input and output data.
For information about aggregating input data, see Configure group by fields.
For information about aggregating output data, see Configuring output groups and fields.
When the output data format is relational, you cannot aggregate data.