Table of Contents


  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference



The batch argument indicates that Sqoop must export data in batches instead of exporting data row by row.
Use the following syntax:
You can configure the batch argument to improve the performance.
The batch argument is required when you configure Sqoop in the following scenarios:
  • You write data to a Vertica target.
  • You write data to an IBM DB2 for z/OS target.
  • You write data to a Teradata target by running the mapping with a generic JDBC connector instead of a TDCH specialized connector for Sqoop. You can invoke the generic JDBC connector by configuring the --driver and --connection-manager Sqoop arguments in the JDBC connection.


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