Useful Slurm Commands#

Slurm provides a variety of tools that allow a user to manage and understand their jobs. This tutorial will introduce these tools, as well as provide details on how to use them.

Finding queuing information with squeue#

The squeue command is a tool we use to pull up information about the jobs currently in the Slurm queue. By default, the squeue command will print out the job ID, partition, username, job status, number of nodes, and name of nodes for all jobs queued or running within Slurm. Usually, you wouldn’t need information for all jobs that were queued in the system, so we can specify jobs that only you are running with the --user flag:

$ squeue --user=your_rc-username

We can output non-abbreviated information with the --long flag. This flag will print out the non-abbreviated default information with the addition of a timelimit field:

$ squeue --user=your_rc-username --long

The squeue command also provides users with a means to calculate a job’s estimated start time by adding the --start flag to our command. This will append Slurm’s estimated start time for each job in our output information.

Note

The start time provided by this command can be inaccurate. This is because the time calculated is based on jobs queued or running in the system. If a job with a higher priority is queued after the command is run, your job may be delayed.

$ squeue --user=your_rc-username --start

When checking the status of a job, you may want to repeatedly call the squeue command to check for updates. We can accomplish this by adding the --iterate flag to our squeue command. This will run squeue every n seconds, allowing for a frequent, continuous update of queue information without needing to repeatedly call squeue:

$ squeue --user=your_rc-username --start --iterate=n_seconds

Press ctrl-c to stop the command from looping and bring you back to the terminal.

Important

Do not use an --iterate= value less than 60 (i.e. 1 minute). Shorter iterations can overwhelm the Slurm controller and lead to the suspension of RC accounts.

$ squeue --user=your_rc-username --start --iterate=60

See also

For more information, visit the Slurm page on squeue

Assessing the priority and queue position of a job with sprio#

The Slurm sprio command enables users to view the priority score of their pending job(s), including the factors that contribute to the job’s priority. The command can also be used to determine the job’s position in the queue. The sprio command is most useful when it is run in a manner that sorts by the priority score, since your job will be behind jobs with higher priority scores:

sprio -S '-Y'

The -S flag tells the command to sort the output by priority in descending order, -Y. The output includes the following columns, in order: jobid, partition, priority, as well as the five factors that are added together to determine priority: site, age, fairshare, jobsize, and qos. Fairshare is generally the dominant factor, which quantifies your system usage over the past 28 days relative to your expected usage in a given allocation (account). You can learn more about Fairshare in our Alpine Allocations page.

The output from the above command will show results across all partitions. You will likely be most interested in the relative priority of your job compared to all other pending jobs in a specific partition. This can be done as follows, (e.g., for the aa100 partition):

sprio -S '-Y' -p aa100

You can either scroll through the output to find your job, or you can find its numeric position in the partition queue as follows:

sprio -S '-Y' -p aa100 | grep -n 12345678

The modifier pipes the output of sprio into the linux pattern-matching command grep, and shows the line number (-n) of the jobid you specify (12345678). The line number is the job’s position in the partition queue.

Important

Please note that the above command will provide the current position of your job in the queue. The queue is constantly changing, so please take the sprio information as a helpful guide but not an absolute. Your job’s position in the queue will change over time.

See also

For more information, visit the Slurm page on sprio

Stopping jobs with scancel#

Sometimes you may need to stop a job entirely while it’s running. The best way to accomplish this is with the scancel command. The scancel command allows you to cancel jobs you are running on Research Computing resources using the job’s ID.

$ scancel your_job-id

To cancel multiple jobs, you can use a comma-separated list of job IDs:

$ scancel your_job-id1, your_job-id2, your_job-id3

See also

For more information, visit the Slurm manual on scancel

Analyzing currently running jobs with sstat#

The sstat command allows users to easily pull up status information about their currently running jobs. This includes information about CPU usage, task information, node information, resident set size (RSS), and virtual memory (VM). We can invoke the sstat command as such:

$ sstat --jobs=your_job-id

The default output from sstat may not include all the information you need. To remedy this, we can use the --format flag to choose what we want in our output. The format flag takes a list of comma-separated variables that specify output data:

$ sstat --jobs=your_job-id --format=var_1,var_2, ... , var_N

A chart of some of these variables is listed in the table below:

Variable

Description

avecpu

Average CPU time of all tasks in a job.

averss

Average resident set size of all tasks.

avevmsize

Average virtual memory of all tasks in a job.

jobid

The id of the Job.

maxrss

Maximum resident set size (peak physical memory usage) across all tasks in the job.

maxvmsize

Maximum virtual memory size (peak memory allocated, including malloced memory) across all tasks.

ntasks

Number of tasks in a job.

Note

sstat requires either a full job step ID (e.g., 123456.0) or the -a flag to return results. Supplying only the job ID (e.g., 123456) may result in no output.

As an example, let’s print out a job’s id, average cpu time, max rss, and the number of tasks. We can do this by typing out the command:

sstat --jobs=your_job-id -a --format=jobid,avecpu,maxrss,ntasks

See also

A full list of variables that specify data handled by sstat can be found with the --helpformat flag or by visiting the slurm page on sstat.

Analyzing past jobs with sacct#

The sacct command allows users to pull up status information about past jobs. This command is very similar to sstat, but is used on jobs that have been previously run on the system instead of currently running jobs. We can pull up accounting information on jobs based on the:

Job ID:

$ sacct --jobs=your_job-id

Research Computing Username:

$ sacct --user=your_rc-username

By default, sacct will only pull up jobs that were run on the current day. We can use the --starttime flag to tell the command to look beyond its short-term cache of jobs.

$ sacct –-jobs=your_job-id –-starttime=YYYY-MM-DD

To see a non-abbreviated version of sacct output, use the --long flag:

$ sacct –-jobs=your_job-id –-starttime=YYYY-MM-DD --long

Formatting sacct output#

Like sstat, the standard output of sacct may not provide the information we want. To remedy this, we can use the --format flag to choose what we want in our output. Similarly, the format flag is handled by a list of comma-separated variables that specify output data:

$ sacct --user=your_rc-username --format=var_1,var_2, ... ,var_N

A chart of some of these variables is provided below:

Variable

Description

account

Account the job ran under.

avecpu

Average CPU time of all tasks in the job.

averss

Average resident set size of all tasks in the job.

cputime

Formatted (Elapsed time * CPU) count used by a job or step.

elapsed

Jobs elapsed time formatted as DD-HH:MM:SS.

exitcode

The exit code returned by the job script or salloc.

jobid

The id of the Job.

jobname

The name of the Job.

maxdiskread

Maximum number of bytes read by all tasks in the job.

maxdiskwrite

Maximum number of bytes written by all tasks in the job.

maxrss

Maximum resident set size of all tasks in the job.

ncpus

Amount of allocated CPUs.

nnodes

The number of nodes used in a job.

ntasks

Number of tasks in a job.

priority

Slurm priority.

qos

Quality of service.

reqcpu

Required number of CPUs

reqmem

Required amount of memory for a job.

user

Username of the person who ran the job.

As an example, suppose you want to find information about jobs that were run on March 12, 2024. You want to show information regarding the job name, the number of nodes used in the job, the number of cpus, the maxrss, and the elapsed time. Your command would look like this:

$ sacct --jobs=your_job-id --starttime=2024-03-12 --format=jobname,nnodes,ncpus,maxrss,elapsed

As another example, suppose you would like to pull up information on jobs that were run on February 21, 2024. You would like information on job ID, job name, QoS, Number of Nodes used, Number of CPUs used, Maximum RSS, CPU time, Average CPU time, and elapsed time. Your command would look like this:

$ sacct –-jobs=your_job-id –-starttime=2024-02-21 --format=jobid,jobname,qos,nnodes,ncpu,maxrss,cputime,avecpu,elapsed

See also

A full list of variables that specify data handled by sacct can be found with the --helpformat flag or by visiting the slurm page on sacct.

Controlling queued and running jobs using scontrol#

The scontrol command provides users extended control of their jobs run through Slurm. This includes actions like suspending a job, holding a job from running, or pulling extensive status information on jobs.

To suspend a job that is currently running on the system, we can use scontrol with the suspend command. This will stop a running job on its current step that can be resumed at a later time. We can suspend a job by typing the command:

$ scontrol suspend job_id

To resume a paused job, we use scontrol with the resume command:

$ scontrol resume job_id

Slurm also provides a utility to hold jobs that are queued in the system. Holding a job will place the job in the lowest priority, effectively “holding” the job from being run. A job can only be held if it’s waiting on the system to be run. We use the hold command to place a job into a held state:

$ scontrol hold job_id

We can then release a held job using the release command:

$ scontrol release job_id

scontrol can also provide information on jobs using the show job command. The information provided by this command is quite extensive and detailed, so be sure to either clear your terminal window, grep certain information from the command, or pipe the output to a separate text file:

# Output to console
$ scontrol show job job_id

# Streaming output to a textfile
$ scontrol show job job_id > outputfile.txt

# Piping output to Grep and find lines containing the word "Time"
$ scontrol show job job_id | grep Time

See also