Table of Contents

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  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

Rules and Guidelines for Sqoop Sources

Rules and Guidelines for Sqoop Sources

Consider the following rules and guidelines when you configure a Sqoop source in a mapping:
  • If you specify a sort condition in a mapping, the Data Integration Service ignores the Order By condition.
  • You cannot sort columns in a Sqoop source.
  • You cannot read distinct rows from a Sqoop source.
  • When you read data from an Oracle source through Sqoop and run the mapping on the Blaze or Spark engine, Sqoop treats the owner name as case sensitive.
  • Sqoop uses the values that you configure in the
    User Name
    and
    Password
    fields of the JDBC connection. If you configure the --username or --password argument in a JDBC connection or mapping, Sqoop ignores the arguments. If you create a password file to access a database, Sqoop ignores the password file.


Updated September 07, 2020