Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. 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 October 23, 2019