Table of Contents


  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

Troubleshooting Spark Engine Monitoring

Troubleshooting Spark Engine Monitoring

Do I need to configure a port for Spark Engine Monitoring?
Spark engine monitoring requires the cluster nodes to communicate with the Data Integration Service over a socket. The Data Integration Service picks the socket port randomly from the port range configured for the domain. The network administrators must ensure that the port range is accessible from the cluster nodes to the Data Integration Service. If the administrators cannot provide a port range access, you can configure the Data Integration Service to use a fixed port with the SparkMonitoringPort custom property. The network administrator must ensure that the configured port is accessible from the cluster nodes to the Data Integration Service.

Updated October 23, 2019