SchedulerX records every job and workflow run on the Execution List page. Use this page to monitor execution status, filter results by status or time range, inspect instance details, and take action on failed or stuck jobs.
View execution records
SchedulerX Basic Edition displays up to 10 job instance records. Professional Edition displays up to 100.
Log on to the SchedulerX console.
In the top navigation bar, select a region.
In the left-side navigation pane, click Execution List.
Select a namespace from the Namespace to which the namespace belongs drop-down list.
Click the Task instance List tab to view job instance records, or click the Process instance List tab to view workflow instance records.
By default, all execution records for the current day are displayed.
Filter execution records
Use the following filters to narrow down results:
| Filter | Options | When to use |
|---|---|---|
| Status | All, Success, Failure, Run, Pool, Wait | Isolate jobs by outcome or current state |
| ID | Application ID, Task ID, Instance ID | Locate a specific job or instance |
| Time range | Minute, hour, day, week, month, User-Defined | Adjust the time window beyond the default (current day) |
View job instance details
On the Task instance List tab, find the target job instance and click Details in the Operation column.
On the Job Instance Details page, review the available tabs. The tabs displayed depend on the execution mode of the job:
Execution mode Tabs displayed Standalone Basic Information, Operational Log Broadcast Basic Information, Current Execution Details Parallel Computing Basic Information, Current Execution Details, Tasks Memory Grid Basic Information, Current Execution Details Grid Computing Basic Information, Current Execution Details Sharding Basic Information, Sharding Details
Manage sub-tasks in parallel computing jobs
For Parallel Computing jobs, the Tasks tab lists each sub-task and its state. The actions available depend on the task state:
| Task state | Available actions | When to use |
|---|---|---|
| Wait | Mark as completed | Skip a pending task that is no longer needed. |
| Failure | Rerun, Mark as completed | Retry after fixing the issue, or skip if the task is no longer required. |
| Run | Terminate | Stop a task that is running longer than expected or is no longer needed. |
| Success | None | The task completed. No action available. |
View workflow instance details
A workflow instance represents a single run of a Directed Acyclic Graph (DAG) -- a set of jobs connected by dependencies.
On the Process instance List tab, find the target workflow instance and click its ID in the Operation column.
On the Canvas page, review the workflow DAG.
Each job node is color-coded by state:
Color State Meaning Red Failed The job encountered an error. Downstream jobs move to the pending state. Gray Pending The job is waiting for an upstream dependency to complete.
Rerun or skip failed jobs in a workflow
When a job fails in a workflow DAG, all downstream jobs are blocked. To resume the workflow:
Right-click the failed job and select Details to inspect the failure cause.
Fix the underlying issue.
Right-click the same job and select Rerun. After the job completes, downstream jobs resume automatically.
To skip a failed job without rerunning it, right-click the job and select Mark as Completed. All downstream jobs are then unblocked and proceed as if the skipped job succeeded.