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

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.
Recovered jobs show 0 elapsed time in monitoring statistics
When a job is recovered, the monitoring tab shows the same start and end time for the job, and the elapsed time = 0. This enables you to identify jobs that were recovered. For a more accurate view of the elapsed time for the job, view the Spark job logs on the cluster or the session logs on the Data Integration Service.
I enabled big data recovery, but recovered jobs show missing or incorrect statistics in the monitoring tab
In some cases when the Data Integration Service recovers a job, the Administrator tool might display incomplete job statistics in the Monitoring tab when the job is complete. For example, the job statistics might not correctly display the number of rows processed.

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