Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. 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 engines 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.

Updated December 13, 2018