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. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. 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>

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