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

Sequence Generator Transformation on the Spark Engine

Sequence Generator Transformation on the Spark Engine

The Sequence Generator transformation does not maintain row order in output data. If you enable the
Maintain Row Order
property on the transformation, the Data Integration Service ignores the property.
Spark sequence generator with maintain row order works fine if the data set is relatively small and can run or forced to run on a single partition.


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