Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Convert Relational or Hierarchical Data to Struct Data

Convert Relational or Hierarchical Data to Struct Data

You can convert relational or hierarchical data in one or more columns to hierarchical data of type struct. Use the
Create Struct Port
wizard in the Developer tool to perform the conversion.
For example, a relational table contains three columns city, state, and zip. You create a mapping to convert the data in the three columns to one hierarchical column. Select the three ports in the transformation and use the Create Struct Port wizard to generate struct data with the selected ports as its elements.
The wizard performs the following tasks:
  • Creates a complex data type definition based on the ports that you select.
  • Adds an Expression transformation to the mapping.
  • Creates a struct output port to represent the struct data.
  • Creates an expression that uses the STRUCT_AS function to generate struct data.


Updated October 23, 2019