Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Cluster Environment Variables

Cluster Environment Variables

Cluster Environment Variables property lists the environment variables that the cluster uses. Each environment variable contains a name and a value. You can add environment variables or edit environment variables.
To edit the property in the text box, use the following format with &: to separate each name-value pair:
<name1>=<value1>[&:<name2>=<value2>…&:<nameN>=<valueN>]
Configure the following environment variables in the
Cluster Environment Variables
property:
HADOOP_NODE_JDK_HOME
Represents the directory from which you run the cluster services and the JDK version that the cluster nodes use. Required to run the Java transformation in the Hadoop environment and Sqoop mappings on the Blaze engine. Default is /usr/java/default. The JDK version that the Data Integration Service uses must be compatible with the JDK version on the cluster.
Set to <cluster JDK home>/jdk<version>.
For example,
HADOOP_NODE_JDK_HOME=<cluster JDK home>/jdk<version>
.


Updated September 28, 2020