Table of Contents

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  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 Execution Plan Details

Spark Engine Execution Plan Details

You can view the details of a Spark engine execution plan from the Administrator tool or Developer tool.
The Spark engine execution plan shows the Scala code to run in the Hadoop cluster.
The following image shows the execution plan for a mapping to run on the Spark engine:
The Spark engine execution plan has the following details:
  • Script ID. Unique identifier for the 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 December 13, 2018