Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function 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 following:
  • Step to translate the mapping to an internal format
  • Steps to optimize the mapping
  • Steps to render the mapping to Spark code
  • Steps to submit the code to the Spark executor
  • Scala code that the Logical Data Translation Generator creates from the mapping logic
  • Total number of cluster nodes used to execute the mapping
When you run Sqoop mappings on the Spark engine, the Data Integration Service prints the Sqoop log events in the mapping log.


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