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

Add a Mapping Task

Add a Mapping Task

Add a Mapping task to the workflow to run a mapping on the cluster that the workflow created.
When you add a Mapping task to a workflow, you select a single mapping for the task to run. You can select any mapping that has physical data objects as input and output. When you change the mapping, the Model Repository Service tracks the effects of these changes on all Mapping tasks that include the mapping.
When you run a workflow, the workflow passes input data to a Mapping task in parameters and variables. The Mapping task uses the input data to run the mapping. When the task finishes running the mapping, the Mapping task passes output data back to the workflow in variables.
For more information, see the
Developer Workflow Guide
.