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  1. Preface
  2. Part 1: Version 10.5.6 - Version 10.5.6.x
  3. Part 2: Version 10.5.5 - 10.5.5.x
  4. Part 3: Version 10.5.4 - 10.5.4.x
  5. Part 4: Version 10.5.3 - 10.5.3.x
  6. Part 5: Version 10.5.2 - 10.5.2.1.x
  7. Part 6: Version 10.5.1 - 10.5.1.1
  8. Part 7: Versions 10.5 - 10.5.0.1
  9. Part 8: Versions 10.4.1 - 10.4.1.3
  10. Part 9: Versions 10.4 - 10.4.0.2
  11. Part 10: Versions 10.2.2 - 10.2.2 HotFix 1
  12. Part 11: Version 10.2.1
  13. Part 12: Version 10.2 - 10.2 HotFix 2

What's New and Changed (10.5.6.1)

What's New and Changed (10.5.6.1)

Complex Data Types

Complex Data Types

Effective in version 10.2, some transformations support complex data types in mappings that run on the Spark engine.
The following table describes the complex data types you can use in transformations:
Complex Data Type
Description
array
Contains an ordered collection of elements. All elements in the array must be of the same data type. The elements can be of primitive or complex data type.
map
Contains an unordered collection of key-value pairs. The key part must be of primitive data type. The value part can be of primitive or complex data type.
struct
Contains a collection of elements of different data types. The elements can be of primitive or complex data types.
For more information, see the "Data Type Reference" appendix in the
Informatica Big Data Management 10.2 User Guide
.

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