Table of Contents


  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Hierarchical Type Panel

Hierarchical Type Panel

When you click a hierarchy field, the details of the hierarchy field appears in the hierarchical type panel.
In the hierarchical type panel, you can see the schema and values for the hierarchical data selected. You can navigate through the structure with the breadcrumbs. If the structure is very deep, you can expand and collapse the fields. When you expand the structure, you can view the data within the hierarchy. For example, when you view billing information in the hierarchical type panel, you can see the values for the billing name, street and ZIP Code.
When you expand all rows, the Developer tool expands a maximum of 500 rows. If you have more than 500 rows, you can manually expand them to view more information.


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