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

Transformation Data Type Support in a Hadoop Environment

Transformation Data Type Support in a Hadoop Environment

The following table shows the Informatica transformation data type support in a Hadoop environment:
Transformation Data Type
Support
Array
Supported*
Bigint
Supported
Binary
Supported
Date/Time
Supported
Decimal
Supported
Double
Supported
Integer
Supported
Map
Supported*
String
Supported
Struct
Supported*
Text
Supported
timestampWithTZ
Not supported
* Supported only on the Spark engine.


Updated November 09, 2018