Table of Contents

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  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

Hadoop Environment Logs

Hadoop Environment Logs

The Data Integration Service generates log events when you run a mapping in the Hadoop environment.
You can view logs for the Blaze engine, the Spark engine, or the MapReduce or Tez Hive engines. 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 a mapping on the Spark engine, you can view the Scala code in logs that the Logical Data Translation Generater generates from the Informatica mapping.
You can view reject files in the reject file directory specified for the Data Integration Service.


Updated October 23, 2019