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

Configuring a Mapping to Run in a Non-native Environment

Configuring a Mapping to Run in a Non-native Environment

You can configure a mapping to run in a non-native environment. To configure a mapping, you must select a validation environment and an execution environment.
  1. Select a mapping from a project or folder from the
    Object Explorer
    view to open in the editor.
  2. In the
    view, select the
  3. Select
    , or both as the value for the validation environment.
    When you select the Hadoop environment, the Blaze and Spark engines are selected by default. Disable the engines that you do not want to use.
  4. Select
    for the execution environment.
    The image shows the runtime properties view. Under the execution environment choice, the user has selected Hadoop.
  5. Select
    and use the drop down in the value field to browse for a connection or to create a connection parameter:
    • To select a connection, click
      and select a connection.
    • To create a connection parameter, click
      Assign Parameter
  6. Configure the rest of the properties for the execution environment.
  7. Right-click an empty area in the editor and click
    The Developer tool validates the mapping.
  8. View validation errors on the
    Validation Log
  9. To view the execution plan for the mapping, right-click the editor and select
    Show Execution Plan


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