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

Configuring a Mapping to Run in a Hadoop Environment

Configuring a Mapping to Run in a Hadoop Environment

You can configure a mapping to run in a Hadoop environment. To configure a mapping, you must select a validation environment and an execution environment.
Hive engine is deprecated and Informatica plans to drop support in a future release.
  1. Select a mapping from a project or folder from the
    Object Explorer
    view to open in the editor.
  2. In the
    view, select the
  3. Select
    as the value for the validation environment.
    By default, the Blaze and Spark engines are selected. Disable the engines that you do not want to use.
  4. Select
    for the execution environment.
    The Run-time tab contains a Validation Environments panel and an Execution Environments panel.
  5. In the Hadoop environment, select
    and use the drop down in the value field to browse for a connection or create a connection parameter:
    • To select a connection, click
      and select a connection.
    • To create a connection parameter, click
      Assign Parameter
  6. Configure the rest of the properties for the Hadoop execution environment.
  7. Right-click an empty area in the editor and click
    The Developer tool validates the mapping.
  8. View validation errors on the
    Validation Log
  9. Click the
    Data Viewer
  10. Click
    Show Execution Plan
    to view the execution plan for the mapping.

Updated October 23, 2019