Table of Contents

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

Hierarchical Data Conversion

Hierarchical Data Conversion

In the Developer tool, use
Hierarchical Conversion
wizards that simplify the tasks for developing a mapping to process hierarchical data on the Spark engine. These wizards add one or more transformations to the mapping and create output ports. The expressions in the output ports use complex functions and operators to convert relational data to hierarchical data or hierarchical data to relational data.
The following table lists the hierarchical conversion wizards and when to use these wizards:
Hierarchical Conversion Wizard
When to Use
Create Struct Port
To convert relational and hierarchical data to struct data. For example, you want to convert data in one or more columns of any data type to hierarchical data column of type struct.
Create Nested Complex Port
To convert relational and hierarchical data in two tables to a nested struct data. You can select one or more columns of any data type. For example, you want to convert data in columns from two tables to a hierarchical data column of type struct with a nested schema. The wizard creates a struct with an array of structs.
Extract from Complex Port
To convert hierarchical data to relational data or modify the hierarchical data. For example, you want to perform the following conversions:
  • Convert one or more elements of primitive data types in a hierarchical data to relational data columns.
  • Convert one or more elements of complex data types in a hierarchical data to hierarchical data columns.
Flatten Complex Port
To convert hierarchical data to relational data. For example, you want to convert one or more elements of a hierarchical data to relational data columns.


Updated July 10, 2020