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

Enable Scheduling and Node Labeling

Enable Scheduling and Node Labeling

To enable scheduling and node labeling in the Hadoop environment, update the yarn-site.xml properties in the cluster configuration.
Configure the following properties:
yarn.resourcemanager.scheduler.class
Defines the YARN scheduler that the Data Integration Service uses to assign resources on the cluster.
<property> <name>yarn.resourcemanager.scheduler.class</name> <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.[Scheduler Type].[Scheduler Type]Scheduler</value> </property>
For example:
<property> <name>yarn.resourcemanager.scheduler.class</name> <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value> </property>
yarn.node-labels.enabled
Enables node labeling.
<property> <name>yarn.node-labels.enabled</name> <value>TRUE</value> </property>
yarn.node-labels.fs-store.root-dir
The HDFS location to update the node label dynamically.
<property> <name>yarn.node-labels.fs-store.root-dir</name> <value>hdfs://[Node name]:[Port]/[Path to store]/[Node labels]/</value> </property>


Updated September 28, 2020