Table of Contents

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  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

Databricks Spark Engine Execution Details

Databricks Spark Engine Execution Details

You can view the details of a Databricks Spark engine execution plan from the Administrator tool or Developer tool.
The Databricks Spark engine execution plan shows the Scala code to run on the Databricks Spark engine.
The following image shows the execution plan for a mapping to run on the Databricks Spark engine:
The Databricks Spark engine execution plan has the following details:
  • Script ID. Unique identifier for the Databricks Spark engine script.
  • Script. Scala code that the Data Integration Service generates based on the mapping logic.
  • Depends on. Tasks that the script depends on. Tasks include other scripts and Data Integration Service tasks.


Updated July 10, 2020