Table of Contents

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  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

Hive Complex Data Types

Hive Complex Data Types

Hive complex data types such as arrays, maps, and structs are a composite of primitive or complex data types. Informatica Developer represents complex data types with the string data type and uses delimiters to separate the elements of the complex data type.
Hive complex data types in a Hive source or Hive target are not supported when you run mappings on a Hadoop cluster.
The following table describes the transformation types and delimiters that are used to represent the complex data types:
Complex Data Type
Description
Array
The elements in the array are of string data type. The elements in the array are delimited by commas. For example, an array of
fruits
is represented as
[apple,banana,orange]
.
Map
Maps contain key-value pairs and are represented as pairs of strings and integers delimited by the
=
character. String and integer pairs are delimited by commas. For example, a map of
fruits
is represented as
[1=apple,2=banana,3=orange]
.
Struct
Structs are represented as pairs of strings and integers delimited by the
:
character. String and integer pairs are delimited by commas. For example, a struct of
fruits
is represented as
[1,apple]
.


Updated September 24, 2020