How to use the command 'squeue' (with examples)
- Linux
- December 17, 2024
The squeue
command is a powerful utility within the SLURM (Simple Linux Utility for Resource Management) workload manager. It allows users to view and manage jobs in the queue of a computing cluster. This command offers various options to filter and display job information, helping users understand the status and position of their jobs within the queue.
View the queue:
Code:
squeue
Motivation:
Using the squeue
command without any arguments provides a straightforward and comprehensive view of all jobs currently queued and running in SLURM. This is especially useful for system administrators and researchers who need to monitor the overall status of workloads, ensuring efficient resource allocation and job scheduling.
Explanation:
- The command
squeue
by itself queries the SLURM job scheduling system to return a list of all current jobs, displaying their IDs, partitions, names, users, states, priority, and other relevant information. This gives a broad overview of the job landscape at any given time.
Example Output:
JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)
123456 compute myjob1 alice R 10:34 2 compute-0
123457 compute myjob2 bob PD 0:00 1 (Priority)
123458 gpu myjob3 charlie R 2:45 1 gpu-2
View jobs queued by a specific user:
Code:
squeue -u username
Motivation:
By specifying a particular username, the user can narrow down the list of jobs to only those submitted by a specific individual. This is useful for users who want to track their job submissions quickly without having to sift through the entire job queue, which can be massive in a busy environment.
Explanation:
- The
-u
option stands for ‘user’, and it is followed by the username. This argument tellssqueue
to filter the displayed jobs so that only those belonging to the specified user are shown. This is particularly handy for users managing multiple jobs and wanting to focus solely on their own tasks.
Example Output:
JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)
123456 compute myjob1 alice R 10:34 2 compute-0
View the queue and refresh every 5 seconds:
Code:
squeue -i 5
Motivation:
Continuous monitoring of job submissions and their statuses can be crucial when managing large and complicated computational tasks. By watching updates reflected every few seconds, users can make decisions based on the real-time state of the queue. This option is excellent for hands-on monitoring during dynamic workloads.
Explanation:
- The
-i
option followed by a number specifies the ‘interval’ at which the command refreshes and re-executes, displaying updated information every specified number of seconds. Here, with5
, the user receives an automatic update every 5 seconds, ensuring they see the very latest statistics.
Example Output:
This will show outputs similar to those described in the previous examples, continuously updating every five seconds.
Every 5.0s: squeue
JOBID PARTITION NAME USER ST TIME NODES NODELIST(REASON)
123456 compute myjob1 alice R 10:34 2 compute-0
123457 compute myjob2 bob PD 0:00 1 (Priority)
View the queue with expected start times:
Code:
squeue --start
Motivation:
Understanding when jobs are likely to commence is crucial for planning and resource management. This can be especially important in high-demand environments where waiting times could affect project deadlines. This flag provides an estimate, empowering users and administrators to adjust their schedules and expectations based on probable job start times.
Explanation:
- The
--start
option adds a column to thesqueue
output, indicating when the jobs are expected to begin. This can help predict delays and manage components that might be time-sensitive, allowing for strategic adjustments.
Example Output:
JOBID PARTITION NAME USER ST TIME NODES START_TIME
123456 compute myjob1 alice R 10:34 2 N/A
123457 compute myjob2 bob PD 0:00 1 2023-10-30T14:00:00
Conclusion:
The squeue
command serves as an essential tool for interacting with a SLURM-managed computing cluster, providing users with detailed insights into queued jobs. Tailoring its options according to specific needs, such as viewing jobs by user, updating the queue dynamically, or estimating job start times, allows for efficient and informed management of computational resources. Whether for debugging, monitoring, or planning, understanding how to leverage squeue
optimizes the day-to-day operations in high-performance computing environments.