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

Rules and Guidelines for Complex Data Types

Rules and Guidelines for Complex Data Types

Consider the following rules and guidelines when you work with complex data types:
  • A nested data type can contain up to 10 levels of nesting.
  • A nested map can contain up to three levels of nesting of map data types.
  • An array data type cannot directly contain an element of type array. Use multidimensional arrays to create a nested array. For example, an array with two dimensions is an array of arrays.
  • A multidimensional array can contain up to five levels of nesting. The array dimension determines the levels of nesting.
  • Each array in a multidimensional array must have elements of the same data type.


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