I'm attempting to move our large FPGA build into a Jenkins CI environment, but the build hangs at the end of synthesis when run in a Docker container spawned by Jenkins.
I've attempted to replicate the environment that Jenkins is creating, but when I spawn a Docker container myself, there's no issue with the build.
I've tried:
reducing the number of jobs (aka threads) that Vivado uses, thinking
that perhaps there was some thread collision occurring when writing
out log files
on the same note, used the -nolog -nojournal options on the vivado
commands to remove any log file collisions
taking control of the cloned/checked-out project and running commands
as the local user in the Docker container
I also have an extremely small build that makes it through the entire build process in Jenkins with no issue, so I don't think there is a fundamental flaw with my Docker containers.
agent {
docker {
image "vivado:2017.4"
args """
-v <MOUNT XILINX LICENSE FILE>
--dns <DNS_ADDRESS>
--mac-address <MAC_ADDRESS>
"""
}
}
steps {
sh "chmod -R 777 ."
dir(path: "${params.root_dir}") {
timeout(time: 15, unit: 'MINUTES') {
// Create HLS IP for use in Vivado project
sh './run_hls.sh'
}
timeout(time: 20, unit: 'MINUTES') {
// Create vivado project, add sources, constraints, HLS IP, generated IP
sh 'source source_vivado.sh && vivado -mode batch -source tcl/setup_proj.tcl'
}
timeout(time: 20, unit: 'MINUTES') {
// Create block designs from TCL scripts
sh 'source source_vivado.sh && vivado -mode batch -source tcl/run_bd.tcl'
}
timeout(time: 1, unit: 'HOURS') {
// Synthesize complete project
sh 'source source_vivado.sh && vivado -mode batch -source tcl/run_synth.tcl'
}
}
}
This code block below was running 1 job with a 12 hour timeout. You can see that Synthesis finished, then a timeout occurred 8 hours later.
[2019-04-17T00:30:06.131Z] Finished Writing Synthesis Report : Time (s): cpu = 00:01:53 ; elapsed = 00:03:03 . Memory (MB): peak = 3288.852 ; gain = 1750.379 ; free physical = 332 ; free virtual = 28594
[2019-04-17T00:30:06.131Z] ---------------------------------------------------------------------------------
[2019-04-17T00:30:06.131Z] Synthesis finished with 0 errors, 0 critical warnings and 671 warnings.
[2019-04-17T08:38:37.742Z] Sending interrupt signal to process
[2019-04-17T08:38:43.013Z] Terminated
[2019-04-17T08:38:43.013Z]
[2019-04-17T08:38:43.013Z] Session terminated, killing shell... ...killed.
[2019-04-17T08:38:43.013Z] script returned exit code 143
Running the same commands in locally spawned Docker containers has no issues whatsoever. Unfortunately, the timeout Jenkins step doesn't appear to flush open buffers, as my post:unsuccesful step that prints out all log files doesn't find synth_1, though I wouldn't expect there to be anything different from the Jenkins capture.
Are there any known issues with Jenkins/Vivado integration? Is there a way to enter a Jenkins spawned container so I can try and duplicate what I'm expecting vs what I'm experiencing?
EDIT: I've since added in a timeout in the actual tcl scripts to move past the wait_on_runs command used in run_synth.tcl, but now I'm experiencing the same hanging behavior during implementation.
The problem lies in the way vivado deals (or doesn't deal...) with its forked processes. Specifically I think this applies to the parallel synthesis. This is maybe, why you only see it in some of your projects. In the state you describe above (stuck after "Synthesis finished") I noticed a couple of abandoned zombie processes of vivado. To my understanding these are child processes which ended, but the parent didn't collect the status before ending themselves. Tracing with strace even reveals that vivado tries to kill these processes:
restart_syscall(<... resuming interrupted nanosleep ...>) = 0
kill(319, SIG_0) = 0
kill(370, SIG_0) = 0
kill(422, SIG_0) = 0
kill(474, SIG_0) = 0
nanosleep({tv_sec=5, tv_nsec=0}, 0x7f86edcf4dd0) = 0
kill(319, SIG_0) = 0
kill(370, SIG_0) = 0
kill(422, SIG_0) = 0
kill(474, SIG_0) = 0
nanosleep({tv_sec=5, tv_nsec=0}, <detached ...>
But (as we all know) you can't kill zombies, they are already dead...
Normally these processes would be adopted by the init process and handled there. But in the case of Jenkins Pipeline in Docker there is no init by default. The pipeline spawns the container and runs cat with no inputs to keep it alive. This way cat becomes pid 1 and takes the abandoned children of vivado. cat of course doesn't know what do do with them and ignores them (a tragedy really).
cat,1
|-(sh,16)
|-sh,30 -c ...
| |-sh,31 -c ...
| | `-sleep,5913 3
| `-sh,32 -xe /home/user/.jenkins/workspace...
| `-sh,35 -xe /home/user/.jenkins/workspace...
| `-vivado,36 /opt/Xilinx/Vivado/2019.2/bin/vivado -mode tcl ...
| `-loader,60 /opt/Xilinx/Vivado/2019.2/bin/loader -exec vivado -mode tcl ...
| `-vivado,82 -mode tcl ...
| |-{vivado},84
| |-{vivado},85
| |-{vivado},111
| |-{vivado},118
| `-{vivado},564
|-(vivado,319)
|-(vivado,370)
|-(vivado,422)
`-(vivado,474)
Luckily there is a way to have an init process in the docker container. Passing the --init argument with the docker run solves the problem for me.
agent {
docker {
image 'vivado:2019.2'
args '--init'
}
}
This creates the init process vivado seems to rely on and the build runs without problems.
Hope this helps you!
Cheers!
Related
In GNU Parallel with the -j option it is possible to specify the number concurrent jobs.
Is it possible to get an id of the thread running the job?. With thread id I mean a number from
1 to 12 on my machine with 12 threads. As of now I use the following workaround:
doit() {
let var=$1*12+$2
echo $var $2
}
export -f doit
for ((i=0;i<2;++i))
do
parallel -j12 doit ::: $i ::: {1..12}
done
This has the problem that every iteration of the loop waits for all 12 threads to finish.
I am only interested in not running iterations with the same thread id concurrently.
My motivation for this is that every thread uses a writelock on one of 12 files. I got exactly 12 files and if a thread on one file finishes, the next thread could immediately use this file again.
As #MarkSetchell writes you should use the replacement string {%} which gives the jobslot number:
parallel --line-buffer -j12 'echo starting job {#} on {%}; sleep {=$_=rand()*30=}; echo finishing job {#} on {%}' ::: {1..50}
I want to use GNU parallel for the following problem:
I have a few files each with several lines of text. I would like to understand how I can run a script (code.sh) on each line of text of each file and for each file in parallel. I should be able to write out the output of the operation on each input file to an output file with a different extension.
Seems this is a case of multiple parallel commands running parallel over all files and then running parallel for all lines inside each file.
This is what I used:
ls mydata_* |
parallel -j+0 'cat {} | parallel -I ./explore-bash.sh > {.}.out'
I do not know how to do this using GNU parallel. Please help.
Your solution seems reasonable. You just need to remove -I:
ls mydata_* | parallel -j+0 'cat {} | parallel ./explore-bash.sh > {.}.out'
Depending on your setup this may be faster as it will only run n jobs, where as the solution above will run n*n jobs in parallel (n = number of cores):
ls mydata_* | parallel -j1 'cat {} | parallel ./explore-bash.sh > {.}.out'
I'm running jobs on our university cluster (regular user, no admin rights), which uses the SLURM scheduling system and I'm interested in plotting the CPU and memory usage over time, i.e while the job is running. I know about sacct and sstat and I was thinking to include these commands in my submission script, e.g. something in the line of
#!/bin/bash
#SBATCH <options>
# Running the actual job in background
srun my_program input.in output.out &
# While loop that records resources
JobStatus="$(sacct -j $SLURM_JOB_ID | awk 'FNR == 3 {print $6}')"
FIRST=0
#sleep time in seconds
STIME=15
while [ "$JobStatus" != "COMPLETED" ]; do
#update job status
JobStatus="$(sacct -j $SLURM_JOB_ID | awk 'FNR == 3 {print $6}')"
if [ "$JobStatus" == "RUNNING" ]; then
if [ $FIRST -eq 0 ]; then
sstat --format=AveCPU,AveRSS,MaxRSS -P -j ${SLURM_JOB_ID} >> usage.txt
FIRST=1
else
sstat --format=AveCPU,AveRSS,MaxRSS -P --noheader -j ${SLURM_JOB_ID} >> usage.txt
fi
sleep $STIME
elif [ "$JobStatus" == "PENDING" ]; then
sleep $STIME
else
sacct -j ${SLURM_JOB_ID} --format=AllocCPUS,ReqMem,MaxRSS,AveRSS,AveDiskRead,AveDiskWrite,ReqCPUS,AllocCPUs,NTasks,Elapsed,State >> usage.txt
JobStatus="COMPLETED"
break
fi
done
However, I'm not really convinced of this solution:
sstat unfortunately doesn't show how many cpus are used at the
moment (only average)
MaxRSS is also not helpful if I try to record memory usage over time
there still seems to be some error (script doesn't stop after job finishes)
Does anyone have an idea how to do that properly? Maybe even with top or htop instead of sstat? Any help is much appreciated.
Slurm offers a plugin to record a profile of a job (PCU usage, memory usage, even disk/net IO for some technologies) into a HDF5 file. The file contains a time series for each measure tracked, and you can choose the time resolution.
You can activate it with
#SBATCH --profile=<all|none|[energy[,|task[,|filesystem[,|network]]]]>
See the documentation here.
To check that this plugin is installed, run
scontrol show config | grep AcctGatherProfileType
It should output AcctGatherProfileType = acct_gather_profile/hdf5.
The files are created in the folder referred to in the ProfileHDF5Dir Slurm configuration parameter (in slurm.conf)
As for your script, you could try replacing sstat with an SSH connection to the compute nodes to run ps. Assuming pdsh or clush is installed, you could run something like:
pdsh -j $SLURM_JOB_ID ps -u $USER -o pid,state,cputime,%cpu,rssize,command --columns 100 >> usage.txt
This will give you CPU and memory usage per process.
As a final note, your job never terminates simply because it will terminate when the while loop terminates, and the while loop will terminate when the job terminates... The condition "$JobStatus" == "COMPLETED" will never be observed from within the script. When the job is completed, the script is killed.
Suppose I am running N jobs with the following gnu parallel command:
seq $N | parallel -j 0 --progress ./job.sh
How can I invoke parallel to kill all running jobs and accept no more as soon as any one of them exits?
You can use --halt:
seq $N | parallel -j 0 --halt 2 './job.sh; exit 1'
A small problem with that solution is that you cannot tell if job.sh failed.
You may also use killall perl. It's not accurate way, but easy to remember
I am looking for functionality where we have a directory with some files in it.
Whenever any one makes a change in any of the files in the directory, jenkins shoukd trigger a build.
Is there any plugin or mathod for this functionality. Please advise.
Thanks in advance.
I have not tried it myself, but The FSTrigger plugin seems to do what you want:
FSTrigger provides polling mechanisms to monitor a file system and
trigger a build if a file or a set of files have changed.
If you can monitor the directory with a script, you can trigger the build with a HTTP GET, for example with wget or curl:
wget -O- $JENKINS_URL/job/JOBNAME/build
Although slightly related.. it seems like this issue was about monitoring static files on system.. however there are many version control systems for just this purpose.
I answered this in another post if you're using git to track changes on the files themselves:
#!/bin/bash
set -e
job_name="whatever"
JOB_URL="http://myserver:8080/job/${job_name}/"
FILTER_PATH="path/to/folder/to/monitor"
python_func="import json, sys
obj = json.loads(sys.stdin.read())
ch_list = obj['changeSet']['items']
_list = [ j['affectedPaths'] for j in ch_list ]
for outer in _list:
for inner in outer:
print inner
"
_affected_files=`curl --silent ${JOB_URL}${BUILD_NUMBER}'/api/json' | python -c "$python_func"`
if [ -z "`echo \"$_affected_files\" | grep \"${FILTER_PATH}\"`" ]; then
echo "[INFO] no changes detected in ${FILTER_PATH}"
exit 0
else
echo "[INFO] changed files detected: "
for a_file in `echo "$_affected_files" | grep "${FILTER_PATH}"`; do
echo " $a_file"
done;
fi;
You can add the check directly to the top of the job's exec shell, and it will exit 0 if no changes detected.. Hence, you can always poll the top level of the repo for check-in's to trigger a build. And only complete a build if the files in question change.