Table of Contents


  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

Mapping Properties

Mapping Properties

The Mapping Properties table lists basic information about the mapping job.
The Mapping Properties table displays the following information:
  • The DIS name under which the mapping was run.
  • The Informatica version.
  • The name of the mapping.
  • The total number of segments for the mapping.
  • The execution time of the segment that took the longest time to run.
  • The execution time of the segment that took the shortest time to run.
  • The average execution time of all segments.
  • The total mapping execution time.

Updated October 23, 2019