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

Update Strategy Transformation on the Databricks Spark Engine

Update Strategy Transformation on the Databricks Spark Engine

Some processing rules for the Databricks Spark engine differ from the processing rules for the Data Integration Service.

General Restrictions

You can only use the Update Strategy transformation on the Databricks Spark Engine when you use a Delta Lake table target.
The Update Strategy transformation is supported only on Databricks distributions that support Delta ACID.

Mapping Validation

Mapping validation fails in the following situations.
  • The Update Strategy transformation is connected to more than one target.
  • The Update Strategy transformation is not located immediately before the target.
  • The Update Strategy transformation target is an external ACID table.
  • The target does not contain a connected primary key.
  • The property to enable truncation of the target table at run time is selected.
  • One of the following target strategies for the target table at run time is selected:
    • Create or replace the target table
    • ApplyNewColumns
    • ApplyNewSchema
    • Fail


Updated September 28, 2020