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  1. Preface
  2. Monitoring jobs
  3. Monitoring Data Integration jobs
  4. Data Integration job log files
  5. Monitoring Mass Ingestion jobs
  6. Monitoring Data Accelerator for Azure jobs
  7. Monitoring Data Profiling jobs
  8. Monitoring imports and exports
  9. Monitoring file transfer jobs
  10. Monitoring elastic clusters
  11. Monitoring source control logs

Monitor

Monitor

Job results for tuning

Job results for tuning

If you tune a
mapping
task that is based on an
elastic mapping
, the job results show the tuning job status and a link to the subtasks.
The job results include the following properties:
Property
Description
Status
Job status. A job can have one of the following statuses:
  • Running. The job is still running.
  • Success. The job completed successfully.
  • Stopped. The job was stopped.
  • Failed. The job did not complete because it encountered errors.
If the Secure Agent fails while one of the subtasks is running, the statuses of the subtask and the tuning job display Running. You must stop the tuning job and configure tuning from the mapping task details again.
Subtasks
Number of subtasks that are part of the tuning job. Each subtask represents a run of the
mapping
task.
If a link is available, click the link to monitor each
mapping
task.
Requested Compute Units Per Hour
Number of serverless compute units per hour that the task requested.
You can view the number of requested compute units if the task runs in a serverless runtime environment.
Total Consumed Compute Units
Total number of serverless compute units that the task consumed.
You can view the number of consumed compute units if the task runs in a serverless runtime environment.
Error Message
Error message, if any, that is associated with the job.


Updated June 17, 2021