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

Run Jobs in Separate Processes

Run Jobs in Separate Processes

The Data Integration Service can run jobs in the Data Integration Service process or in separate DTM processes on local or remote nodes. You optimize service performance when you configure the recommended option based on the job types that the service runs.
When the Data Integration Service receives a request to run a job, the service creates a DTM instance to run the job. A DTM instance is a specific, logical representation of the execution Data Transformation Manager. You can configure the Data Integration Service to run DTM instances in the Data Integration Service process, in a separate DTM process on the local node, or in a separate DTM process on a remote node.
A DTM process is an operating system process started to run DTM instances. Multiple DTM instances can run within the Data Integration Service process or within the same DTM process.
The
Launch Job Options
property on the Data Integration Service determines where the service starts DTM instances. Configure the property based on whether the Data Integration Service runs on a single node or a grid and based on the types of jobs that the service runs.
Choose one of the following options for the
Launch Job Options
property:
In the service process
Configure when you run jobs on a single node or on a grid where each node has both the service and compute roles.
SQL data service and web service jobs typically achieve better performance when the Data Integration Service runs jobs in the service process.
In separate local processes
Configure when you run jobs on a single node or on a grid where each node has both the service and compute roles.
You can run SQL data service and web service jobs in separate local processes, but performance might decrease.
Configure when the Data Integration Service uses operating system profiles.
When the Data Integration Service runs jobs in separate local processes, stability increases because an unexpected interruption to one job does not affect all other jobs.
In separate remote processes
Configure when you run mapping, profile, and workflow jobs on a grid where nodes have a different combination of roles. If you choose this option when the Data Integration Service runs on a single node, then the service runs jobs in separate local processes. You cannot run SQL data service or web service jobs in separate remote processes.
When the Data Integration Service runs jobs in separate remote processes, stability increases because an unexpected interruption to one job does not affect all other jobs. In addition, you can better use the resources available on each node in the grid. When a node has the compute role only, the node does not have to run the service process. The machine uses all available processing power to run mappings.
If you run multiple job types, create multiple Data Integration Services. Configure one Data Integration Service to run SQL data service and web service jobs in the Data Integration Service process. Configure the other Data Integration Service to run mappings, profiles, and workflows in separate local processes or in separate remote processes.