Table of Contents

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  1. Preface
  2. Introduction to Data Engineering Administration
  3. Authentication
  4. Running Mappings on a Cluster with Kerberos Authentication
  5. Authorization
  6. Cluster Configuration
  7. Cloud Provisioning Configuration
  8. Data Integration Service Processing
  9. Appendix A: Connections Reference
  10. Appendix B: Monitoring REST API

Scenarios Where Recovery is Not Possible

Scenarios Where Recovery is Not Possible

Job recovery is not possible in the following scenarios:
  • The node shuts down before the Mapping Service Module stores the job request in the Model repository.
    The job status depends on the timing of the failure. Either the job does not appear at all, or the status is Unknown.
  • You cancel a mapping while it is running.
    The job status depends on the timing of the cancellation request. The status will be Canceled or Complete.
  • You recycle the Data Integration Service while a job is running.
    The job status will be Aborted or Canceled.
  • The cluster fails, or communication with the cluster is lost while a job is running.
    The job status will be Failed.
In each case, the job must be manually re-run.
When a job has a status of Unknown, check the Data Integration Service log and check for the existence of a session log for more information.
Depending on the size of the loan on the Data Integration Service grid, logs might not be updated with failed job states for several minutes.

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