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

Java Transformation in a Streaming Mapping

Java Transformation in a Streaming Mapping

Streaming mappings have additional processing rules that do not apply to batch mappings.
The Data Integration Service ignores the following properties:
  • Partitionable. The Data Integration Service ignores the property and can process the transformation with multiple threads.
  • Stateless. The Data Integration Service ignores the property and maintains the row order of the input data.


Updated September 24, 2020