Table of Contents

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  1. Preface
  2. Analyst Service
  3. Content Management Service
  4. Data Integration Service
  5. Data Integration Service Architecture
  6. Data Integration Service Management
  7. Data Integration Service Grid
  8. Data Integration Service Applications
  9. Metadata Manager Service
  10. Model Repository Service
  11. PowerCenter Integration Service
  12. PowerCenter Integration Service Architecture
  13. High Availability for the PowerCenter Integration Service
  14. PowerCenter Repository Service
  15. PowerCenter Repository Management
  16. PowerExchange Listener Service
  17. PowerExchange Logger Service
  18. SAP BW Service
  19. Search Service
  20. System Services
  21. Test Data Manager Service
  22. Web Services Hub
  23. Application Service Upgrade
  24. Application Service Databases
  25. Connecting to Databases from Windows
  26. Connecting to Databases from UNIX
  27. Updating the DynamicSections Parameter of a DB2 Database

Process Where DTM Instances Run

Process Where DTM Instances Run

Based on how you configure the Data Integration Service, DTM instances can run 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 that the Data Integration Service starts 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.
The following table lists each process where DTM instances can run:
Process Where DTM Instances Run
Data Integration Service Configuration
Types of Jobs
In the Data Integration Service process
Single node or grid
SQL data service and web service jobs on a single node or on a grid where each node has both the service and compute roles.
Advantages:
SQL data service and web service jobs typically achieve better performance when the Data Integration Service runs jobs in the service process.
In separate DTM processes on the local node
Single node or grid
Mapping, profile, and workflow jobs on a single node or on a grid where each node has both the service and compute roles.
Advantages:
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 DTM processes on remote nodes
Grid
Mapping, profile, and workflow jobs on a grid where nodes have a different combination of roles.
Advantages:
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.
Ad hoc jobs, with the exception of profiles, can run in the Data Integration Service process or in separate DTM processes on the local node. 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. If you configure a Data Integration Service grid to run jobs in separate remote processes, the service runs ad hoc jobs in separate local processes.