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

Hierarchical schemas

Hierarchical schemas

A hierarchical schema is based on a schema file or sample file that you import to
Data Integration
. If you import a sample file,
Data Integration
generates a schema based on the structure of the sample file. The schema defines the expected hierarchy of the input data.
You can create a hierarchical schema in two ways. You can create a standalone hierarchical schema that can be associated with any transformation that you choose. Alternatively, you can create a hierarchical schema from within a specific transformation.
When you create a standalone hierarchical schema, you import a JSON sample file or XSD file as the basis of the schema.
You can associate the hierarchical schema with any transformation, whether you create it as a standalone hierarchical schema or as part of a specific transformation.
You can create, edit, or delete a hierarchical schema. You can edit a hierarchical schema and change the root or change the schema definition. However if you have used the hierarchical schema in a transformation, you cannot edit or delete it. Before you delete a hierarchical schema, verify that you did not use it in a transformation.