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

JSON and Transformation Data Types

JSON and Transformation Data Types

JavaScript Object Notation data types map to transformation data types that the Data Integration Service uses to move data across platforms.
The following table compares JSON data types and transformation data types:
JSON
Transformation
Description
Array
Array
Unlimited number of characters.
Double
Double
Precision of 15 digits
Integer
Integer
-2,147,483,648 to 2,147,483,647
Precision of 10, scale of 0
Object
Struct
Unlimited number of characters.
String
String
1 to 104,857,600 characters


Updated December 13, 2018