Understanding Slurm Job Dependencies: How to Properly Schedule Jobs After a Running Job Dependency
Автор: vlogize
Загружено: 2025-08-03
Просмотров: 3
Описание:
Learn how to effectively manage job dependencies in Slurm with this guide on setting up jobs that start after a currently running job finishes.
---
This video is based on the question https://stackoverflow.com/q/76436008/ asked by the user 'stardt' ( https://stackoverflow.com/u/870928/ ) and on the answer https://stackoverflow.com/a/76439391/ provided by the user 'damienfrancois' ( https://stackoverflow.com/u/1763614/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.
Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: slurm ignores dependency on running job
Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.
If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Understanding Slurm Job Dependencies: How to Properly Schedule Jobs After a Running Job Dependency
Managing job dependencies in a cluster computing environment can sometimes be a little tricky, especially when using a workload manager like Slurm. One common question that arises is how to correctly submit a job that should start after another job, particularly when that job is already running.
The Problem
Let's say you have a job with the ID 12345 that is currently executing on your cluster. You want to submit another job that will only begin once job 12345 has finished. Your initial attempts to set this up with the command:
[[See Video to Reveal this Text or Code Snippet]]
seemed like the right approach. However, when you checked the job status using the command:
[[See Video to Reveal this Text or Code Snippet]]
You were surprised to find that the Dependency field showed (null). This led to confusion about whether the dependency was being ignored or if there was something you were missing.
Understanding Job Dependencies in Slurm
What’s Happening?
When you use the -d after:12345 option, you're indicating that job 12346 should wait for the start of job 12345. Since job 12345 is already running, this parameter doesn't make sense in practical terms. That's why Slurm is essentially ignoring this dependency, leading to your (null) output.
Your Options: Setting Proper Dependencies
Fortunately, you have two effective alternatives to resolve this issue, ensuring that your second job will start only after job 12345 has completed. You can choose from the following dependency options:
-d afterok:12345: This option establishes a dependency on the successful completion of job 12345. It means that job 12346 will start only if 12345 finishes without errors.
-d afterany:12345: This sets a dependency on the end of job 12345, regardless of whether it finishes successfully, is canceled, or fails. With this option, job 12346 will start as soon as job 12345 is no longer running, regardless of the outcome.
Example Command Usage
Here’s how to submit your job with the correct dependency settings using either option:
For Successful Dependency:
[[See Video to Reveal this Text or Code Snippet]]
For Any Possible Outcome:
[[See Video to Reveal this Text or Code Snippet]]
Conclusion
In conclusion, managing job dependencies is essential for efficiency in a clustered environment, and understanding the correct syntax is key to achieving desired scheduling. By using afterok or afterany, you can successfully set up subsequent jobs that depend on the completion of prior tasks, thus streamlining your workflow.
Understanding how these dependencies work will not only save you time but may also help avoid confusion and ensure the successful execution of your jobs in Slurm. Happy scheduling!
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке: