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 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 October 23, 2019