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  • Data Engineering Integration 10.2.1
  • All Products

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

Big Data Management User Guide

Big Data Management User Guide

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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.
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