Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Informatica Data Quality 10.4.0
  • All Products

Table of Contents

Search

  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. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

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.
0 COMMENTS
We’d like to hear from you!