Table of Contents


  1. Preface
  2. Introduction to Data Engineering Streaming
  3. Data Engineering Streaming Administration
  4. Sources in a Streaming Mapping
  5. Targets in a Streaming Mapping
  6. Streaming Mappings
  7. Transformation in Streaming Mappings
  8. Window Transformation
  9. Appendix A: Connections
  10. Appendix B: Monitoring REST API Reference
  11. Appendix C: Sample Files

Python Transformation in a Streaming Mapping

Python Transformation in a Streaming Mapping

Streaming mappings have additional processing rules that do not apply to batch mappings.
Consider the following restrictions:
  • When you close a Jep instance, you might not be able to call CPython modules.
  • Do not use the names
    in the Python code. These names are reserved for the Scala code that the Spark engine uses to interact with the Python environment.


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