Managing the Job Queue#
Viewing the Job Queue#
The HPE Machine Learning Development Environment Queue Management system enhances scheduler functionality, providing better visibility and control over job scheduling decisions. The Job Queue displays job ordering and allows dynamic job modifications.
Queue Management is available for both the fair share scheduler and the priority scheduler. This feature shows all submitted jobs and their states, and allows you to modify configurations like priority, queue position, and resource pool.
To manage job queues, navigate to the WebUI Job Queue
section or use the det job
CLI
commands.
Jobs in the queue can be in either the Queued
or Scheduled
state:
Queued
: Job received but resources not allocated.Scheduled
: Scheduled to run or running, with resources possibly allocated.
Completed or errored jobs are not considered active and are omitted from the list.
You can view the job queue using the CLI or WebUI.
In the WebUI, click the Job Queue tab.
In the CLI, use the following commands:
$ det job list
$ det job ls
To view other resource pool queues, use the --resource-pool
option:
$ det job list --resource-pool compute-pool
For more CLI options, visit the CLI documentation or run the det job list -h
command.
Both the WebUI and CLI display a table of jobs, ordered by scheduling order. The table includes job states and the number of slots allocated to each job. Note that scheduling order does not represent job priority.
Modifying the Job Queue#
You can modify the job queue in the WebUI Job Queue section or using the det job update
CLI
command. Changes can be made on a per-job basis by selecting a job and performing an operation.
Available operations include:
Changing priorities for resource pools (priority scheduler)
Changing weights for resource pools (fair share scheduler)
Changing resource pools
Constraints:
The priority and fair share fields are mutually exclusive. The priority field is active only for the priority scheduler, and the fair share field is active only for the fair share scheduler.
The change resource pool operation can only be performed on experiments. For other tasks, cancel and resubmit the task to change the resource pool.
Modify the Job Queue using the WebUI#
Go to the Job Queue section.
Find the job to modify.
Click the three dots in the right-most column of the job.
Click the Manage Job option.
Make your changes on the pop-up page, and click OK.
Modify the Job Queue using the CLI#
To modify the job queue using the CLI, use the det job update
command. Run det job update
--help
for more information. Example operations:
$ det job update jobID --priority 10
$ det job update jobID --resource-pool a100
To update multiple jobs in a batch, provide updates as shown:
$ det job update-batch job1.priority=1 job2.resource-pool="compute"
Example workflow:
$ det job list
# | ID | Type | Job Name | Priority | Submitted | Slots (acquired/needed) | Status | User
-----+--------------------------------------+-----------------+--------------------------+------------+---------------------------+---------
0 | 73853c5c | TYPE_EXPERIMENT | second_job | 42 | 2022-01-01 00:01:01 | 1/1 | STATE_SCHEDULED | user1
1 | 0d714127 | TYPE_EXPERIMENT | first_job | 42 | 2022-01-01 00:01:00 | 0/1 | STATE_QUEUED | user1
$ det job update-batch 73853c5c.priority=1 0d714127.priority=1
$ det job list
# | ID | Type | Job Name | Priority | Submitted | Slots (acquired/needed) | Status | User
-----+--------------------------------------+-----------------+--------------------------+------------+---------------------------+---------
0 | 73853c5c | TYPE_EXPERIMENT | second_job | 1 | 2022-01-01 00:01:01 | 1/1 | STATE_SCHEDULED | user1
1 | 0d714127 | TYPE_EXPERIMENT | first_job | 1 | 2022-01-01 00:01:00 | 0/1 | STATE_QUEUED | user1