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. Interactive Data Preparation Service
  11. Enterprise Data Preparation 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

Grid for Jobs that Run in Local Mode

Grid for Jobs that Run in Local Mode

Configure the Data Integration Service to run jobs in separate DTM processes on the local node to increase stability. Use this configuration when the Data Integration Service grid runs mappings, profiles, and workflows. All nodes in the grid must have both the service and compute roles.
When you enable a Data Integration Service that runs on a grid, one service process starts on each node with the service role in the grid. The Data Integration Service designates one service process as the master service process, and designates the remaining service processes as worker service processes. When a worker service process starts, it registers itself with the master service process so that the master is aware of the worker.
The master service process manages application deployments, logging, job requests, and the dispatch of mappings to worker service processes. The worker service processes optimize and compile mapping and preview jobs. The worker service processes create separate DTM processes to run jobs. The master service process also acts as a worker service process and runs jobs.
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 worker service process optimizes and compiles the mapping. The worker service process then creates a DTM instance within a separate DTM process to run the mapping.
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 worker service process optimizes and compiles the mapping. The worker service process then creates a DTM instance within a separate DTM process to run the mapping.
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 uses round robin to dispatch the mappings across the worker service processes. The worker service process optimizes and compiles the mapping. The worker service process then creates a DTM instance within a separate DTM process to run the mapping.
Ad hoc jobs, with the exception of profiles
When you run ad hoc jobs, with the exception of profiles, the Data Integration Service uses round robin to dispatch the first request directly to a worker service process.
Ad hoc jobs include mappings run from the Developer tool or previews, scorecards, or drill downs on profile results run from the Developer tool or Analyst tool.
To ensure faster throughput, the Data Integration Service bypasses the master service process. The worker service process creates a DTM instance within a separate DTM process to run the job. When you run additional ad hoc jobs from the same login, the Data Integration Service dispatches the requests to the same worker service process.
Informatica does not recommend running SQL queries or web service requests on a Data Integration Service grid that is configured to run jobs in separate local processes. SQL data service and web service jobs typically achieve better performance when the Data Integration Service runs jobs in the service process. For web service requests, you must configure the external HTTP load balancer to distribute requests to nodes that have both the service and compute roles.