Run and Manage Jobs using Task Manager
After the data services are configured and datastores are deployed, you will navigate to the Task Manager option to run and manage the jobs related to the projects.
To run a job
- Go to Task Manager > Job > Actions > Run.
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The Global Variables Configuration pop-up displays. Select the job server from the drop-down menu. You can either update the values or proceed with the default values and select Run. The job is initiated successfully.
For source systems using the source-independent single data load job, follow these steps to update the default system configuration mapping:
- In the Advanced Configurations section, select the system configuration file.
- Select View Details to view the datastore mapping associated with the selected system configuration.
- In the Advanced Configurations section, select the system configuration file.
- On successful execution, the status is updated to Success.
Manage Jobs
When the job has run successfully, you can use Task Manager to perform the following tasks:
- View Job Details: Select the Job Details option to view the steps performed to run this job.
The following screenshot displays the dataflows and workflows that ran along with the start time and end time.
- View logs: Select logs to view the following types of logs from SAP Data Services:
- Trace Log: Displays a detailed record of the events that occur while a job is running.
- Monitor Log: Displays execution statistics such as number of rows processed and processing time as shown in the following screenshot.
- Error Log: Displays the errors that caused job failure. As the job ran successfully, there are no errors in the following screenshot.
- Trace Log: Displays a detailed record of the events that occur while a job is running.
Filter Jobs
You can filter the jobs on the basis of source systems as displayed in the following screenshot.
Schedule Summary
This option displays the job repository schedules that are configured for the job using SAP Data Services.
Global Variables
This option displays the details of the global variables that are used to run the job.