Table of Contents

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

Monitor

Monitor

Monitoring your jobs

Monitoring your jobs

You can monitor the jobs that you started on the
My Jobs
page
within the service where you started the job
. The
My Jobs
page lists your jobs that are currently running and your jobs that have completed.
You can view the
My Jobs
page in the following services:
  • Data Integration
  • Data Profiling
  • Mass Ingestion
The following image shows the
My Jobs
page in
Data Integration
:
In this image, the My Jobs page lists the Data Integration jobs that were started by the currently logged in user. By default, the page lists the instance name, location, subtasks, start time, end time, number of rows processed, and status for each job. The status message at the top of the page indicates that the information on the page is up-to-date.
  1. Status message that indicates whether information on the page is up-to-date or needs to be refreshed.
  2. Refresh icon
The
My Jobs
page lists all the jobs that you ran within the last three days. If you have run less than 1000 jobs in the last three days, the log also includes older jobs, up to 1000 total jobs.
To ensure that the information on this page is current,
Monitor
polls the
Informatica Intelligent Cloud Services
repository every five seconds. Information can become out-of-date when a job status changes or when a user starts a job.
The status message at the top of the page indicates whether the information on the page is up-to-date. If the information is out-of-date, the status message displays "Updates Available." To refresh the page, click the "Updates Available" message or the
Refresh
icon.
When a job completes, you can drill down on the job to view the job details. To drill down on a job, click the instance name.

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