Table of Contents


  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

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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