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Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Relational to Hierarchical Transformation Overview

Relational to Hierarchical Transformation Overview

The Relational to Hierarchical transformation processes relational input and transforms it into hierarchical output. A Relational to Hierarchical transformation reads relational input from input ports and transforms the data to hierarchical output at the transformation output port. To transform relational input to hierarchical output, use a schema object to define the hierarchical structure.
You can use the Relational to Hierarchical transformation wizard to create a hierarchical structure that reflect the relational input ports. You can view the mapping for the hierarchical output ports in the transformation
Overview
 view.
After you create the transformation, you can pass the data from the hierarchical output port to another transformation in a mapping.
The Relational to Hierarchical transformation can process up to 10,000 schema elements in an .xsd file. To process more than 10,000 elements, split the data into multiple files.
In the relational model, each table schema identifies a column, called the primary key, to uniquely identify each row. You identify the relationship between each row in the table and a row in another table with a foreign key. The wizard generates keys when it creates the transformation. You can change an auto-generated transformation, and add, edit, or delete ports.
You can link an input relational port to a node in the hierarchy. Link a primary key from the relevant element or attribute in the hierarchy to a relational group in the input. The primary key identifies each row in the relational tables.
Link a foreign key from the relevant element or attribute in the hierarchy to a relational group in the input. A foreign key in the relational input is a column in one table that points to the primary key of another table.
The input relational port and the hierarchical node must have compatible data types.
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