Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter 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.
  • 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.


Updated November 09, 2018