Comments (5)
apatlpo
commented on May 24, 2024
I should also mention that the new set of worker seem to be working correctly
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guillaumeeb
commented on May 24, 2024
@apatlpo can you describe precisely the commands you are launching? Are you using cluster.restart()?
If so, I imagine it is failing because we do not update worker launching command to point to the new scheduler address (scheduler port is probably changing on restart).
But you could achieve something similar by only launching cluster.start_worker(n) or cluster.scale_up.
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mrocklin
commented on May 24, 2024
Unrelated note, but the scheduler port should not be affected during a
restart. In general the cluster managers (like dask-jobqueue) shouldn't
have to care much about restart events, that should be handled well within
dask itself (hypothetically at least).
…On Wed, Apr 4, 2018 at 3:30 PM, Guillaume EB ***@***.***> wrote:
@apatlpo <https://github.com/apatlpo> can you describe precisely the
commands you are launching? Are you using cluster.restart()?
If so, I imagine it is failing because we do not update worker launching
command to point to the new scheduler address (scheduler port is probably
changing on restart).
But you could achieve something similar by only launching
cluster.start_worker(n) or cluster.scale_up.
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guillaumeeb
commented on May 24, 2024
Obviously you are right @mrocklin. We'll wait for @apatlpo to clarify.
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apatlpo
commented on May 24, 2024
I believe this was just noise on my part, deeply sorry.
It works fine today with:
cluster.stop_workers(cluster.jobs)
and then:
cluster.start_workers(4)
Even client.restart() and client.upload_file() are working.
I have other issues (workers dying) but these will motivate other posts.
Sorry again
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Related Issues (20)
- OARCluster implementation does not let OAR take into account the memory parameter HOT 4
- `JobQueueCluster` with local worker(s) HOT 3
- Restart cluster job on task completion HOT 3
- Add CI with more tests for OAR
- dask_jobqueue tries to import non-existent function dask.utils.ignoring HOT 3
- a direct way to specify the worker spec HOT 4
- Documentation bug: interface HOT 1
- documentation: document `worker_command` kwarg
- Strange Worker KeyError when using LSFCluster. HOT 6
- Update NERSC Cori to NERSC Perlmutter in docs HOT 3
- SLURMCluster doesn't spawn new workers when old ones timeout HOT 12
- conftest.py not included in PyPI source tarball HOT 1
- CI is currently failing HOT 4
- ConnectionRefusedError HOT 2
- ImportError on ignoring attribute from dask.utils when importing dask_jobqueue HOT 2
- Resource allocation on SLURM cluster HOT 9
- Add a `py.typed` marker HOT 1
- Unable to submit jobs to PBS queue HOT 2
- Worker startup timeout leads to inconsistent cluster state HOT 3
- Remove deprecated project kwarg in Cluster implementation, or use it as it should be
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