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

Creating a Non-Reusable Python Transformation

Creating a Non-Reusable Python Transformation

You can create a non-reusable Python transformation to use the transformation in a single mapping. Create a non-reusable Python transformation in the Developer tool.
  1. In a mapping or a mapplet, drag a Python transformation from the mapping palette to the editor.
    The transformation appears in the editor.
  2. In the
    tab, edit the transformation name and the description.
  3. In the
    tab, click the
    button to add a port to the transformation.
  4. Edit the port to set the name, data type, and precision.
    Use port names as variables in the Python code.
  5. In the
    tab, specify the resource files and compile the Python code for the transformation.
  6. In the
    Run-time Linking
    tab, create run-time links between the Python transformation and an upstream or downstream transformation in the mapping if the ports change at run time.
  7. In the
    tab, edit the advanced properties for the transformation.


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