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

Changing the Hadoop Cluster for a Mapping Run

Changing the Hadoop Cluster for a Mapping Run

You can change the Hadoop cluster that a mapping runs on.
You might want to change the Hadoop cluster to run the mapping on a different Hadoop cluster type or different version.
To change the Hadoop cluster that a mapping runs on, click the connection where it appears in the mapping Run-time properties. Then click
, and select a Hadoop connection that uses a cluster configuration for the cluster you want the mapping to run on.
The following image shows the
choice for a Hadoop connection:
The mapping Run-time properties display the Hadoop connection in the Execution Environment section. Click the edit arrow on the right of the property value pane to select Browse.
After you change the connection that the mapping uses, you must restart the Data Integration Service for the change to take effect.

Updated October 23, 2019