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

Match Transformation on the Databricks Spark Engine

Match Transformation on the Databricks Spark Engine

The Match transformation is supported with the following restrictions:
  • A Match transformation generates cluster ID values differently in native and non-native environments. In a non-native environment, the transformation appends a group ID value to the cluster ID.
  • Mapping validation fails when the Match transformation is configured to write identity index data to database tables.


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