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

Viewing Hive Tasks

Viewing Hive Tasks

When you have a Hive source with a transactional table, you can view the Hive task associated with the Spark job.
When you run a mapping on Spark that launches Hive tasks, you can view the Hive query statistics in the session log and in the Administrator tool for monitoring along with the Spark application. For example, you can monitor information related to the Update Strategy transformation and SQL authorization associated to the mapping on Spark.
You can view the Summary Statistics for a Hive task in the Administrator tool. The Spark statistics continue to appear. When the Spark engine launches a Hive task, you can see Source Load Summary and Target Load summary including Spark data frame with Hive task statistics. Otherwise, when you have only a Spark task, the Source Load Summary and Target Load Summary do not appear in the session log.
Under Target Load Summary, all Hive instances will be prefixed with ‘Hive_Target_’. You can see same instance name in the Administrator tool.

Updated October 23, 2019