Table of Contents

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  1. Preface
  2. Analyst Service
  3. Catalog Service
  4. Content Management Service
  5. Data Integration Service
  6. Data Integration Service Architecture
  7. Data Integration Service Management
  8. Data Integration Service Grid
  9. Data Integration Service Applications
  10. Data Preparation Service
  11. Enterprise Data Lake Service
  12. Informatica Cluster Service
  13. Mass Ingestion Service
  14. Metadata Access Service
  15. Metadata Manager Service
  16. Model Repository Service
  17. PowerCenter Integration Service
  18. PowerCenter Integration Service Architecture
  19. High Availability for the PowerCenter Integration Service
  20. PowerCenter Repository Service
  21. PowerCenter Repository Management
  22. PowerExchange Listener Service
  23. PowerExchange Logger Service
  24. SAP BW Service
  25. Search Service
  26. System Services
  27. Test Data Manager Service
  28. Test Data Warehouse Service
  29. Web Services Hub
  30. Application Service Upgrade
  31. Appendix A: Application Service Databases
  32. Appendix B: Connecting to Databases from Windows
  33. Appendix C: Connecting to Databases
  34. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

Job Types

Job Types

When a Data Integration Service grid runs jobs in separate remote processes, how the Data Integration Service runs each job depends on the job type.
The Data Integration Service balances the workload across the nodes in the grid based on the following job types:
Workflows
When you run a workflow instance, the master service process runs the workflow instance and non-mapping tasks. The master service process uses round robin to dispatch each mapping within a Mapping task to a worker service process. The LDTM component of the worker service process optimizes and compiles the mapping. The worker service process then communicates with the master compute node to dispatch the compiled mapping to a separate DTM process running on a worker compute node.
Deployed mappings
When you run a deployed mapping, the master service process uses round robin to dispatch each mapping to a worker service process. The LDTM component of the worker service process optimizes and compiles the mapping. The worker service process then communicates with the master compute node to dispatch the compiled mapping to a separate DTM process running on a worker compute node.
Profiles
When you run a profile, the master service process converts the profiling job into multiple mapping jobs based on the advanced profiling properties of the Data Integration Service. The master service process then distributes the mappings across the worker service processes. The LDTM component of the worker service process optimizes and compiles the mapping. The worker service process then communicates with the master compute node to dispatch the compiled mapping to a separate DTM process running on a worker compute node.
Ad hoc jobs, with the exception of profiles
When you run an ad hoc job, with the exception of profiles, the Data Integration Service uses round robin to dispatch the first request directly to a worker service process that runs on a node with both the service and compute roles. The worker service process runs the job in a separate DTM process on the local node. To ensure faster throughput, the Data Integration Service bypasses the master service process. When you run additional ad hoc jobs from the same login, the Data Integration Service dispatches the requests to the same worker service process.
You cannot run SQL queries or web service requests on a Data Integration Service grid that is configured to run jobs in separate remote processes.