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

Oracle Data Types

Oracle Data Types

Informatica supports the following Oracle data types when you use Sqoop:
  • Blob (supported only for import)
  • Char
  • Date
  • Float
  • Long
  • Nchar (supported if you configure OraOop)
  • Nvarchar (supported if you configure OraOop)
  • Number(P,S)
  • Timestamp
  • Varchar
  • Varchar2

Rules and Guidelines for Sqoop Oracle Data Types

Consider the following rules and guidelines when you configure Oracle data types in a Sqoop mapping:
  • If you run a Sqoop mapping on the Blaze engine to export Oracle float data, Sqoop truncates the data.
  • If you run a Sqoop mapping on the Blaze engine to export Oracle timestamp data with nanoseconds, Sqoop writes only three digits to the target.
  • If you configure OraOop and run a Sqoop mapping on the Spark engine to export Oracle timestamp data, Sqoop writes only three digits to the target.


Updated October 23, 2019