Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter 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 contains 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 Hadoop 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 Hadoop environment, the Data Integration Service pushes the mapping execution to the Hadoop cluster through a Hadoop connection. The Hadoop cluster processes the mapping.
The following image shows the mapping
Run-time
properties in a Hadoop environment:
The image shows the mapping Run-time tab. Under Validation Environment, Hadoop is selected. The Spark engine is selected. Under Execution Environment, Hadoop is selected. The connection is spark1.


Updated December 13, 2018