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

Configure the Blaze Engine to Use Node Labels

Configure the Blaze Engine to Use Node Labels

If you enable node labeling in the Hadoop environment, you can use node labels to run Blaze components as YARN applications on specific cluster nodes.
To run Blaze components on the labeled cluster nodes, specify the node labels when you configure the Blaze engine.
To specify node labels on the Blaze engine, list the node labels in the following Hadoop connection property:
Property
Description
Blaze YARN Node Label
Node label that determines the node on the Hadoop cluster where the Blaze engine runs. If you do not specify a node label, the Blaze engine runs on the nodes in the default partition.
If the Hadoop cluster supports logical operators for node labels, you can specify a list of node labels. To list the node labels, use the operators
&&
(AND),
||
(OR), and
!
(NOT).
When the Blaze engine uses node labels, Blaze components might be redundant on the labeled nodes. If a node contains multiple labels and you specify the labels in different Hadoop connections, multiple Grid Manager, Orchestrator, or Job Monitor instances might run on the same node.


Updated September 28, 2020