This article explains how to use the job scheduling management Data Provider.
2. Supported renderers
Here is an example of a displayed data using the scheduling job management data provider with the line Chart renderer:
3. Attributes description
The job scheduling management data provider allows you to monitor your jobs on the basis of predefined keys figures which are:
- Number of executions.
- Average duration.
- Total duration.
- Minimum duration.
- Maximum duration.
- Average delay.
- Total delay.
Then the result can be filtered by the following options:
You can also drill down on the previous filter elements, and this can be made through this tab:
4. Data validation
There are three info providers by which you can validate the data given by the DP_JSM_JOB, each one is designed to work with certain granularity :
- Week’s granularity : 0SM_JSM_W.
- Day’s granularity : 0SM_JSM_D.
- Hour’s granularity : 0SM_JSM_H.
If your time range’ period is “week” then you must use the 0SM_JSM_W info provider, you enter “LISTCUBE” on your system search field then you enter the appropriate info provider and you execute.
Then you must fill the following field as follow :
If you have chosen a granularity of day using this info provider : 0SM_JSM_D, you must do as follow.
Finally if you have chosen a granularity of day using this info provider : 0SM_JSM_H, you must do so :
And of course aside of the time granularity you can enter the filter values -which you have chosen- in the appropriate fields ( like system ID, status, job’s name, execution user and scheduling user).
To adjust the column’s attribute you must click on “ field for output” and check what you want to see in your table.
Then click on execute.
A displayed table should be like this:
Now all you have to do is to compare the values of the tab with those in the OCC chart using the appropriate time range.
It can be tedious to aggregate all the outputs of the table in order to compare them with the chart value therefore there is a function that make the SUM of all the outputs, you must first select the column attribute by clicking on it then on the ∑ button, the sum will be displayed in the bottom of the concerned column.