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

Mapping Run-time Properties

Mapping Run-time Properties

The mapping run-time properties depend on the environment that you select for the mapping.
The mapping properties contain the
Validation Environments
area and an
Execution Environment
area. The properties in the
Validation Environment
indicate whether the Developer tool validates the mapping definition for the native execution environment, the non-native execution environment, or both. When you run a mapping in the native environment, the Data Integration Service processes the mapping.
When you run a mapping in the non-native environment, the Data Integration Service pushes the mapping execution to the compute cluster through a runtime connection. The engine in the compute cluster processes the mapping.
The following image shows the mapping
properties in a Hadoop environment: The image shows the mapping run-time properties tab. It is divided into a list of available validation environments and execution environment properties.


We’d like to hear from you!