Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Time Taken by Individual Segments

Time Taken by Individual Segments

A pie chart visually represents the time taken by individual segments contained within a grid task.
Each segment of the pie chart is a different color and represents a particular submapping. Submapping 2 is selected and the table displays statistics about that segment.
When you click on a particular segment in the pie chart, the
Selected Submapping
table displays detailed information about that segment. The table lists the following segment statistics:
  • Task Name. The logical name of the selected segment.
  • Segment Execution Time. The time taken by the selected segment.
  • # Tasklets. The number of tasklets in the selected segment.
  • Minimum Tasklet Execution Time. The execution time of the tasklet within the selected segment that took the shortest time to run.
  • Maximum Tasklet Execution Time. The execution time of the tasklet within the selected segment that took the longest time to run.
  • Average Tasklet Execution Time. The average execution time of all tasklets within the selected segment.


Updated September 28, 2020