Table of Contents

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  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 Hadoop Connection Properties

Configuring Hadoop Connection Properties

When you create a Hadoop connection, default values are assigned to cluster environment variables, cluster path properties, and advanced properties. You can add or edit values for these properties. You can also reset to default values.
You can configure the following Hadoop connection properties based on the cluster environment and functionality that you use:
  • Cluster Environment Variables
  • Cluster Library Path
  • Cluster ClassPath
  • Cluster Executable Path
  • Common Advanced Properties
  • Hive Engine Advanced Properties
  • Blaze Engine Advanced Properties
  • Spark Engine Advanced Properties
Informatica does not recommend changing these property values before you consult with third-party documentation, Informatica documentation, or Informatica Global Customer Support. If you change a value without knowledge of the property, you might experience performance degradation or other unexpected results.
To reset to default values, delete the property values. For example, if you delete the values of an edited Cluster Library Path property, the value resets to the default $DEFAULT_CLUSTER_LIBRARY_PATH.


Updated October 23, 2019