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

Rank Transformation in a Streaming Mapping

Rank Transformation in a Streaming Mapping

Streaming mappings have additional processing rules that do not apply to batch mappings.

Mapping Validation

Mapping validation fails in the following situations:
  • A Rank transformation is in the same streaming pipeline as a passive Lookup transformation configured with an inequality lookup condition.
  • A Rank transformation is upstream from a Joiner transformation.
  • A streaming pipeline contains more than one Rank transformation.
  • A streaming pipeline contains an Aggregator transformation and a Rank transformation.


Updated September 28, 2020