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

Rule Specification Transformation in a Non-native Environment

Rule Specification Transformation in a Non-native Environment

A rule specification is a repository object that a user creates in the Analyst tool. You can add a rule specification to a mapping in the same manner as you add a transformation to a mapping. Rule specification processing in a non-native environment depends on the engine that runs the object.
Consider the support for the following non-native run-time engines:
  • Blaze engine. Not supported.
  • Spark engine. Not supported.
  • Databricks Spark engine. Supported without restrictions.


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