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

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 October 23, 2019