Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. 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
properties in a Hadoop environment: The run-time tab contains a Validation Environments panel and an Execution Environment panel. On the left side is the Validation Environments section. On the right side is the Execution Environment section.

Updated October 23, 2019