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

Avro and Transformation Data Types

Avro and Transformation Data Types

Apache Avro data types map to transformation data types that the Data Integration Service uses to move data across platforms.
The following table compares Avro data types and transformation data types:
Avro
Transformation
Description
Array
Array
Unlimited number of characters.
Boolean
Integer
-2,147,483,648 to 2,147,483,647
Precision of 10, scale of 0
Bytes
Binary
1 to 104,857,600 bytes
Double
Double
Precision of 15 digits
Fixed
Binary
1 to 104,857,600 bytes
Float
Double
Precision of 15 digits
Int
Integer
-2,147,483,648 to 2,147,483,647
Precision of 10, scale of 0
Long
Bigint
-9,223,372,036,854,775,808 to 9,223,372,036,854,775,807
Precision of 19, scale of 0
Map
Map
Unlimited number of characters.
Record
Struct
Unlimited number of characters.
String
String
1 to 104,857,600 characters
Union
Corresponding data type in a union of ["primitive_type|complex_type", "null"] or ["null", "primitive_type|complex_type"].
Dependent on primitive or complex data type.


Updated December 13, 2018