[slurm-users] All user's jobs killed at the same time on all nodes

Matteo Guglielmi Matteo.Guglielmi at dalco.ch
Mon Jul 2 03:37:33 MDT 2018


Unbelievable... and got it by chance.

jobs were killed (again) at 21:04 and in the user's list of running
processes there was a 'sleep 50000' command (13 hours + 53
minutes + 20 seconds) which was fired up exactly at the same
time.

The watchdog.sh script (from which the sleep command is fired)
was started on June15 but there is no trace of it anywhere on the
disk.

What's in that script I don't know but it kills all the users jobs
almost twice a day... and I've waited for it to do it again this
morning at 10:57... and sure enough all jobs disappeared and
a new sleep 50000 command was fired.

Thank you all anyway!

-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764719.out
-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764720.out
-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764721.out
-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764722.out
-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764723.out
-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764724.out
-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764725.out
-rw-rw-r-- 1 moha moha     117 Jul  1 21:04 slurm-764726.out


[moha at master ~]$ ps aux | grep moha
moha       1695  0.0  0.0 113128  1416 ?        S    Jun15   0:00 sh watchdog.sh
moha      76720  0.0  0.0 150844  2696 ?        S    Jun28   0:00 sshd: moha at pts/10
moha      76724  0.0  0.0 116692  3532 pts/10   Ss+  Jun28   0:00 -bash
moha     149663  0.0  0.0 150400  2240 ?        S    Jun28   0:00 sshd: moha at pts/0
moha     149664  0.0  0.0 116692  3536 pts/0    Ss+  Jun28   0:00 -bash
moha     156670  0.0  0.0 150400  2236 ?        S    Jun28   0:00 sshd: moha at pts/5
moha     156671  0.0  0.0 116692  3604 pts/5    Ss+  Jun28   0:00 -bash
moha     164364  0.0  0.0 107904   608 ?        S    21:04   0:00 sleep 50000         <<<<<<<<<<=========== !!!!
moha     190871  0.0  0.0 116684  3472 pts/4    S    21:46   0:00 -bash
moha     194080  0.0  0.0 151060  1820 pts/4    R+   21:52   0:00 ps aux
moha     194081  0.0  0.0 112664   972 pts/4    S+   21:52   0:00 grep --color=auto moha


________________________________
From: slurm-users <slurm-users-bounces at lists.schedmd.com> on behalf of Thomas M. Payerle <payerle at umd.edu>
Sent: Friday, June 29, 2018 7:34:09 PM
To: Slurm User Community List
Subject: Re: [slurm-users] All user's jobs killed at the same time on all nodes

A couple comments/possible suggestions.

First, it looks to me that all the jobs are run from the same directory with same input/output files.  Or am I missing something?

Also, what MPI library is being used?

I would suggest verifying if any of the jobs in question are terminating normally.  I.e., is the mysterious issue which is causing all the user's jobs to terminate triggered by the completion of one of the jobs.

I recall having an issue years ago with MPICH MPI libraries when having multiple MPI jobs from the same user running on the same node.  IIRC, when one job terminated (usually successfully), it would call mpdallexit, which would happily kill all the mpds for that user on that node, making the other MPI jobs that user had on that node quite unhappy.  The solution was to set the environmental variable MPD_CON_EXT to unique values for each of the jobs.  See e.g. https://lists.mcs.anl.gov/pipermail/mpich-discuss/2008-May/003605.html

My users primarily use OpenMPI, and so do not have much recent experience with this issue.  IIRC, this issue only impacted other MPI jobs running by the same user on the same node, so a bit different than the symptoms as you describe them (impacting all MPI jobs running by the same user on ANY node), but as some similarity in the symptoms I thought I would mention it anyway.


On Fri, Jun 29, 2018 at 7:24 AM, John Hearns <hearnsj at googlemail.com<mailto:hearnsj at googlemail.com>> wrote:
I have got this all wrong. Paddy Doyle has got it right.

However are you SURE than mpirun is not creating tasks on the other machines?
I would look at the compute nodes while the job is running and do
ps -eaf --forest

Also using mpirun to run a single core gives me the heebie-jeebies...

https://en.wikipedia.org/wiki/Heebie-jeebies_(idiom)




On 29 June 2018 at 13:16, Matteo Guglielmi <Matteo.Guglielmi at dalco.ch<mailto:Matteo.Guglielmi at dalco.ch>> wrote:
You are right but I'm actually supporting the system administrator of that cluster, I'll mention this to him.

Beside that,

the user runs this for loop to submit the jobs:


# submit.sh #

typeset -i i=1
typeset -i j=12500  #number of frames goes to each core = number of frames (1000000)/40 (cores) =
typeset -i k=1

while [ $i -le 36 ]  #the number of frames
do

sbatch run-5o$i.sh $i $j $k

i=$i+1 # number of frames goes to each node (5*200 = 1000)
done

where each run-5oXX.sh jobfile looks like this:


#!/bin/bash

#SBATCH --job-name=charmm-test
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=1

export PATH=/usr/lib64/openmpi/bin/:$PATH
export LD_LIBRARY_PATH=/usr/lib64/openmpi/lib:$LD_LIBRARY_PATH

mpirun -np 1 /opt/cluster/programs/charmm/c42b2/exec/gnu_M/charmm < newphcnl99a0.inp > newphcnl99a0.out




so they are all independent mpiruns...  if one of them is killed, why would all others go down as well?


That would make sense if a single mpirun is running 36 tasks... but the user is not doing this.

________________________________
From: slurm-users <slurm-users-bounces at lists.schedmd.com<mailto:slurm-users-bounces at lists.schedmd.com>> on behalf of John Hearns <hearnsj at googlemail.com<mailto:hearnsj at googlemail.com>>
Sent: Friday, June 29, 2018 12:52:41 PM
To: Slurm User Community List
Subject: Re: [slurm-users] All user's jobs killed at the same time on all nodes

Matteo, a stupid question but if these are single CPU jobs why is mpirun being used?

Is your user using these 36 jobs to construct a parallel job to run charmm?
If the mpirun is killed, yes all the other processes which are started by it on the other compute nodes will be killed.

I suspect your user is trying to do womething "smart". You should give that person an example of how to reserve 36 cores and submit a charmm job.


On 29 June 2018 at 12:13, Matteo Guglielmi <Matteo.Guglielmi at dalco.ch<mailto:Matteo.Guglielmi at dalco.ch><mailto:Matteo.Guglielmi at dalco.ch<mailto:Matteo.Guglielmi at dalco.ch>>> wrote:
Dear comunity,

I have a user who usually submits 36 (identical) jobs at a time using a simple for loop,
thus jobs are sbatched all the same time.

Each job requests a single core and all jobs are independent from one another (read
different input files and write to different output files).

Jobs are then usually started during the next couple of hours, somewhat at random
times.

What happens then is that after a certain amount of time (maybe from 2 to 12 hours)
ALL jobs belonging to this particular user are killed by slurm on all nodes at exactly the
same time.

One example:

### master: /var/log/slurmctld.log ###

[2018-06-28T18:43:06.871] _slurm_rpc_submit_batch_job: JobId=718560 InitPrio=4294185624 usec=255
...
[2018-06-28T19:29:04.671] backfill: Started JobID=718560 in partition on node38
...
[2018-06-28T23:37:53.471] _slurm_rpc_kill_job: REQUEST_KILL_JOB job 718560 uid 1007
[2018-06-28T23:37:53.472] _job_signal: 9 of running JobID=718560 State=0x8004 NodeCnt=1 successful 0x8004

### node38: /var/log/slurmd.log ###

[2018-06-28T19:29:05.410] _run_prolog: prolog with lock for job 718560 ran for 0 seconds
[2018-06-28T19:29:05.410] Launching batch job 718560 for UID 1007
[2018-06-28T19:29:05.427] [718560.batch] Munge cryptographic signature plugin loaded
[2018-06-28T19:29:05.431] [718560.batch] debug level = 2
[2018-06-28T19:29:05.431] [718560.batch] starting 1 tasks
[2018-06-28T19:29:05.431] [718560.batch] task 0 (69791) started 2018-06-28T19:29:05
[2018-06-28T19:29:05.440] [718560.batch] Can't propagate RLIMIT_NOFILE of 65536 from submit host: Operation not permitted
...
[2018-06-28T23:37:53.480] [718560.batch] Sending signal 18 to pid 69794 (charmm)
[2018-06-28T23:37:53.480] [718560.batch] Sending signal 18 to pid 69792 (mpirun)
[2018-06-28T23:37:53.480] [718560.batch] Sending signal 18 to pid 69791 (slurm_script)
[2018-06-28T23:37:53.480] [718560.batch] Sent signal 18 to 718560.429496729
[2018-06-28T23:37:53.485] [718560.batch] error: *** JOB 718560 ON node38 CANCELLED AT 2018-06-28T23:37:53 ***
[2018-06-28T23:37:53.488] [718560.batch] Sending signal 15 to pid 69794 (charmm)
[2018-06-28T23:37:53.488] [718560.batch] Sending signal 15 to pid 69792 (mpirun)
[2018-06-28T23:37:53.488] [718560.batch] Sending signal 15 to pid 69791 (slurm_script)
[2018-06-28T23:37:53.488] [718560.batch] Sent signal 15 to 718560.4294967294
[2018-06-28T23:37:53.492] [718560.batch] task 0 (69791) exited. Killed by signal 15.
[2018-06-28T23:37:53.512] [718560.batch] job 718560 completed with slurm_rc = 0, job_rc = 15
[2018-06-28T23:37:53.512] [718560.batch] sending REQUEST_COMPLETE_BATCH_SCRIPT, error:0 status 15
[2018-06-28T23:37:53.516] [718560.batch] done with job

The slurm cluster has a minimal configuration:

ClusterName=cluster
ControlMachine=master
SchedulerType=sched/backfill
SelectType=select/cons_res
SelectTypeParameters=CR_Core
FastSchedule=1
SlurmUser=slurm
SlurmdUser=root
SlurmctldPort=6817
SlurmdPort=6818
AuthType=auth/munge
StateSaveLocation=/var/spool/slurm/
SlurmdSpoolDir=/var/spool/slurm/
SwitchType=switch/none
MpiDefault=none
SlurmctldPidFile=/var/run/slurmctld.pid
SlurmdPidFile=/var/run/slurmd.pid
Proctracktype=proctrack/linuxproc
ReturnToService=2
PropagatePrioProcess=0
PropagateResourceLimitsExcept=MEMLOCK
TaskPlugin=task/cgroup
SlurmctldTimeout=300
SlurmdTimeout=300
InactiveLimit=0
MinJobAge=300
KillWait=30
Waittime=0
SlurmctldDebug=4
SlurmctldLogFile=/var/log/slurmctld.log
SlurmdDebug=4
SlurmdLogFile=/var/log/slurmd.log
JobCompType=jobcomp/none
JobAcctGatherType=jobacct_gather/cgroup
AccountingStorageType=accounting_storage/slurmdbd
AccountingStorageHost=master
AccountingStorageLoc=all
NodeName=node[01-45] Sockets=2 CoresPerSocket=10 State=UNKNOWN
PartitionName=partition Nodes=ALL Default=YES MaxTime=INFINITE State=UP

Thank you for your help.







--
Tom Payerle
DIT-ACIGS/Mid-Atlantic Crossroads        payerle at umd.edu<mailto:payerle at umd.edu>
5825 University Research Park               (301) 405-6135
University of Maryland
College Park, MD 20740-3831



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