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

Spark Engine Logs

Spark Engine Logs

The Spark engine logs appear in the LDTM log. The LDTM logs the results of the Spark engine execution plan run for the mapping. You can view the LDTM log from the Developer tool or the Monitoring tool for a mapping job.
The log for the Spark engine shows the step to translate the mapping to an internal format, steps to optimize the mapping, steps to render the mapping to Spark code, and the steps to submit the code to the Spark executor. The logs also show the Scala code that the Logical Data Translation Generator creates from the mapping logic.
When you run Sqoop mappings on the Spark engine, the Data Integration Service prints the Sqoop log events in the mapping log.


Updated October 23, 2019