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 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

Data Integration Service Queueing

Data Integration Service Queueing

The Data Integration Service uses a distributed queue to store job information until resources are available to run the job. The distributed queue is stored in the Model repository and is shared by the backup node, if one exists, or by all nodes in the grid.
When you run a mapping job or workflow mapping task, the Data Integration Service adds the job to the queue. The job state appears as "Queued" in the Administrator tool contents panel. When resources are available, the Data Integration Service takes a job from the queue and runs it.
The following image shows the location of the distributed queue:
Consider the following queueing process:
  1. A client submits a job request to the Data Integration Service, which stores job metadata in the distributed queue.
  2. When the Data Integration Service node has available resources, the Data Integration Service retrieves the job from the queue and sends it to the available node for processing.
  3. If a node fails while running a job, the job can fail over to another node. Any back-up node or node in the grid can take jobs from the queue.
  4. The interrupted job runs on the new node.
When you run a job that cannot be queued, the Data Integration Service immediately starts running the job. If there are not enough resources available, the job fails, and you must run the job again when resources are available.
The following jobs cannot be queued:
  • Jobs that cannot be deployed, such as previews and profiles
  • On-demand jobs
  • SQL queries
  • Web service requests
You can use the command
infacmd ms abortAllJobs
to abort all jobs in the queue, or
infacmd ms purgeDatabaseWorkTables
to clear the queue.