Table of Contents


  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

Overview of Monitoring

Overview of Monitoring

On the Monitor tab of the Administrator tool, you can view statistics and log events for mappings run in the Hadoop environment. The Monitor tab displays current and historical information about mappings run on the Blaze and Spark engines.
Use the Summary Statistics view to view graphical summaries of object state and distribution across the Data Integration Services. You can also view graphs of the memory and CPU that the Data Integration Services used to run the objects.
When you run a mapping in the Hadoop environment, the Data Integration Service generates log events. You can view log events relating to different types of errors such as Hadoop connection failures, Hive query failures, or other Hadoop job failures.
With the REST Operations Hub, you can also get monitoring statistics for deployed mappings that run on the Data Integration Service or the Blaze or Spark engines.
You cannot monitor the Databricks engine on the Monitoring tab.


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