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

Microsoft SQL Server Data Types

Microsoft SQL Server Data Types

Informatica supports the following Microsoft SQL Server data types when you use Sqoop:
  • Bigint
  • Bit
  • Char
  • Datetime
  • Decimal
  • Float
  • INT
  • Money
  • Numeric
  • Real
  • Smalldatetime
  • Smallint
  • Smallmoney
  • Text
  • Time
  • Tinyint
  • Varchar

Rules and Guidelines for Sqoop Microsoft SQL Server Data Types

Consider the following rules and guidelines when you configure Microsoft SQL Server data types in a Sqoop mapping:
  • If you create or replace the target table at run time and run the mapping on the Blaze or Spark engine to export Bigint data, the mapping fails.
  • If you run a Sqoop mapping to export time data, Sqoop does not export milliseconds.


Updated November 09, 2018