Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Connections
  17. Data Type Reference
  18. Function Reference

Sqoop Mapping-Level Arguments

Sqoop Mapping-Level Arguments

If a data object uses Sqoop, you can click the corresponding
Read
transformation or
Write
transformation in the Sqoop mapping to define the arguments that Sqoop must use to process the data. The Data Integration Service merges the additional Sqoop arguments that you specify in the mapping with the arguments that you specified in the JDBC connection and constructs the Sqoop command.
The Sqoop arguments that you specify in the mapping take precedence over the arguments that you specified in the JDBC connection. However, if you do not enable the Sqoop connector in the JDBC connection but enable the Sqoop connector in the mapping, the Data Integration Service does not run the mapping through Sqoop. The Data Integration Service runs the mapping through JDBC.
You can configure the following Sqoop arguments in a Sqoop mapping:
  • m or num-mappers
  • split-by
  • batch
  • infaoptimize
  • infaownername
  • schema
  • verbose
For a complete list of the Sqoop arguments that you can configure, see the Sqoop documentation.


Updated January 20, 2020