# set the commandline that needs to be executed
job.setCommandline('diff ' + file1Name+ ' ' + file2Name)
job.addInputFileUrl(file1url);
job.addInputFileUrl(file2url);
# create the job on the backend and specify the VO to use
job.createJob("/ARCS/StartUp")
print 'Submitting job...'
# submit the job
job.submitJob()
print 'Waiting for the job to finish...'
# this waits until the job is finished. Checks every 10 seconds (which would be too often for a real job)
finished = job.waitForJobToFinish(10)
if not finished:
print "not finished yet."
# kill the job on the backend anyway
job.kill(True);
else:
print 'Job finished. Status: '+job.getStatusString(False)
# download and cache the jobs' stdout and display it's content
print "Stdout: " + job.getStdOutContent()
# download and cache the jobs' stderr and display it's content
print "Stderr: " + job.getStdErrContent()
# kill and clean the job on the backend
job.kill(True)
# don't forget to exit properly. this cleans up possible existing threads/executors
sys.exit()
if restarted:
print "Job distribution for restarted jobs:"
for subLoc in multiPartJob.getOptimizationResult().keySet():
resubmitted = True
print subLoc + " : " +multiPartJob.getOptimizationResult().get(subLoc)
else:
print "Job not restarted (yet)."
print "Job not finished yet. Waiting..."
time.sleep(3)
print "Multipartjob "+multiPartJob.getBatchJobname()+" finished."
# finally, everything is ready. We could do a lot more here, but you get the idea...
for job in multiPartJob.getJobs():
print "Job: "+job.getJobname()+", Status: "+job.getStatusString(False)
print
print "Stdout: "
print job.getStdOutContent()
print
print "Stderr: "
print job.getStdErrContent()
print
print
print "Finished."
# don't forget to exit properly. this cleans up possible existing threads/executors
sys.exit()