Table of Contents

Search

  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 REST API
  10. Data Integration Service Applications
  11. Data Privacy Management Service
  12. Enterprise Data Preparation Service
  13. Interactive Data Preparation Service
  14. Informatica Cluster Service
  15. Mass Ingestion Service
  16. Metadata Access Service
  17. Metadata Manager Service
  18. Model Repository Service
  19. PowerCenter Integration Service
  20. PowerCenter Integration Service Architecture
  21. High Availability for the PowerCenter Integration Service
  22. PowerCenter Repository Service
  23. PowerCenter Repository Management
  24. PowerExchange Listener Service
  25. PowerExchange Logger Service
  26. SAP BW Service
  27. Search Service
  28. System Services
  29. Test Data Manager Service
  30. Test Data Warehouse Service
  31. Web Services Hub
  32. Application Service Upgrade
  33. Appendix A: Application Service Databases
  34. Appendix B: Connecting to Databases from Windows
  35. Appendix C: Connecting to Databases from UNIX or Linux
  36. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

Example Grid that Runs Jobs in Local Mode

Example Grid that Runs Jobs in Local Mode

In this example, the grid contains three nodes. All nodes have both the service and compute roles. The Data Integration Service is configured to run jobs in separate local processes.
The following image shows an example Data Integration Service grid configured to run mapping, profile, workflow, and ad hoc jobs in separate local processes:
The Data Integration Service grid contains three nodes. Each node has both the service and compute roles. The master service process runs on Node1. Worker service processes run on Node2 and Node3. Workflow jobs run in the master service process on Node1. Deployed mappings, mappings from Mapping tasks, mappings from profiles, and previews can run in separate DTM processes on each node.
The Data Integration Service manages requests and runs jobs on the following nodes in the grid:
  • On Node1, the master service process runs the workflow instance and non-mapping tasks. The master service process dispatches mappings included in Mapping tasks from workflow1 to the worker service processes on Node2 and Node3. The master service process also acts as a worker service process and completes jobs. The Data Integration Service dispatches a preview request directly to the service process on Node1. The service process creates a DTM instance within a separate DTM process to run the preview job. Mapping and profile jobs can also run on Node1.
  • On Node2, the worker service process creates a DTM instance within a separate DTM process to run mapping1 from workflow1. Ad hoc jobs can also run on Node2.
  • On Node3, the worker service process creates a DTM instance within a separate DTM process to run mapping2 from workflow1. Ad hoc jobs can also run on Node3.