def __mt_bulk_submit__(self, node_jdls):
'''submitting jobs in multiple threads'''
job = self.getJobObject()
logger.warning('submitting %d subjobs ... it may take a while' %
len(node_jdls))
# the algorithm for submitting a single bulk job
class MyAlgorithm(Algorithm):
def __init__(self, masterInputWorkspace, ce, arcverbose):
Algorithm.__init__(self)
self.inpw = masterInputWorkspace
self.ce = ce
self.arcverbose = arcverbose
def process(self, jdl_info):
my_sj_id = jdl_info[0]
my_sj_jdl = jdl_info[1]
#my_sj_jid = self.gridObj.arc_submit(my_sj_jdl, self.ce, self.verbose)
my_sj_jid = Grid.arc_submit(my_sj_jdl, self.ce,
self.arcverbose)
if not my_sj_jid:
return False
else:
self.__appendResult__(my_sj_id, my_sj_jid)
return True
mt_data = []
for id, jdl in node_jdls.items():
mt_data.append((id, jdl))
myAlg = MyAlgorithm(masterInputWorkspace=job.getInputWorkspace(),
ce=self.CE,
arcverbose=self.verbose)
myData = Data(collection=mt_data)
runner = MTRunner(name='arc_jsubmit',
algorithm=myAlg,
data=myData,
numThread=config['SubmissionThread'])
runner.start()
runner.join(timeout=-1)
if len(runner.getDoneList()) < len(mt_data):
# not all bulk jobs are successfully submitted. canceling the
# submitted jobs on WMS immediately
logger.error(
'some bulk jobs not successfully (re)submitted, canceling submitted jobs on WMS'
)
Grid.arc_cancelMultiple(runner.getResults().values())
return None
else:
return runner.getResults()
def __mt_bulk_submit__(self, node_jdls):
'''submitting jobs in multiple threads'''
job = self.getJobObject()
logger.warning(
'submitting %d subjobs ... it may take a while' % len(node_jdls))
# the algorithm for submitting a single bulk job
class MyAlgorithm(Algorithm):
def __init__(self, masterInputWorkspace, ce, arcverbose):
Algorithm.__init__(self)
self.inpw = masterInputWorkspace
self.ce = ce
self.arcverbose = arcverbose
def process(self, jdl_info):
my_sj_id = jdl_info[0]
my_sj_jdl = jdl_info[1]
#my_sj_jid = self.gridObj.arc_submit(my_sj_jdl, self.ce, self.verbose)
my_sj_jid = Grid.arc_submit(
my_sj_jdl, self.ce, self.arcverbose)
if not my_sj_jid:
return False
else:
self.__appendResult__(my_sj_id, my_sj_jid)
return True
mt_data = []
for id, jdl in node_jdls.items():
mt_data.append((id, jdl))
myAlg = MyAlgorithm(masterInputWorkspace=job.getInputWorkspace(
), ce=self.CE, arcverbose=self.verbose)
myData = Data(collection=mt_data)
runner = MTRunner(name='arc_jsubmit', algorithm=myAlg,
data=myData, numThread=config['SubmissionThread'])
runner.start()
runner.join(timeout=-1)
if len(runner.getDoneList()) < len(mt_data):
# not all bulk jobs are successfully submitted. canceling the
# submitted jobs on WMS immediately
logger.error(
'some bulk jobs not successfully (re)submitted, canceling submitted jobs on WMS')
Grid.arc_cancelMultiple(runner.getResults().values())
return None
else:
return runner.getResults()
def master_bulk_kill(self):
'''GLITE bulk resubmission'''
job = self.getJobObject()
# killing the individually re-submitted subjobs
logger.debug('cancelling running/submitted subjobs.')
# 1. collect job ids
ids = []
for sj in job.subjobs:
if sj.status in ['submitted', 'running'] and sj.backend.id:
ids.append(sj.backend.id)
# 2. cancel the collected jobs
ck = Grid.arc_cancelMultiple(ids)
if not ck:
logger.warning('Job cancellation failed')
return False
else:
for sj in job.subjobs:
if sj.backend.id in ids:
sj.updateStatus('killed')
return True
def master_bulk_kill(self):
'''GLITE bulk resubmission'''
job = self.getJobObject()
# killing the individually re-submitted subjobs
logger.debug('cancelling running/submitted subjobs.')
# 1. collect job ids
ids = []
for sj in job.subjobs:
if sj.status in ['submitted', 'running'] and sj.backend.id:
ids.append(sj.backend.id)
# 2. cancel the collected jobs
ck = Grid.arc_cancelMultiple(ids)
if not ck:
logger.warning('Job cancellation failed')
return False
else:
for sj in job.subjobs:
if sj.backend.id in ids:
sj.updateStatus('killed')
return True
