Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Connections
  17. Data Type Reference
  18. Function Reference

Configuring a Mapping to Run in a Non-native Environment

Configuring a Mapping to Run in a Non-native Environment

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


Updated January 20, 2020