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

Monitoring Mappings in the Hadoop Environment Overview

Monitoring Mappings in the Hadoop Environment Overview

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 Blaze, Spark, and Hive 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, Hive command failures, or other Hadoop job failures.
When you run Hive mappings or Spark jobs that launches Hive tasks, you can select Tez or MapReduce engines and monitor statistics.

Updated October 23, 2019