def make_worker(self, jobspec_list, queue_config, resource_type):
workSpec = WorkSpec()
workSpec.resourceType = resource_type
if len(jobspec_list) > 0:
workSpec.nCore = 0
workSpec.minRamCount = 0
workSpec.maxDiskCount = 0
workSpec.maxWalltime = 0
for jobSpec in jobspec_list:
try:
workSpec.nCore += jobSpec.jobParams['coreCount']
except Exception:
workSpec.nCore += 1
try:
workSpec.minRamCount += jobSpec.jobParams['minRamCount']
except Exception:
pass
try:
workSpec.maxDiskCount += jobSpec.jobParams['maxDiskCount']
except Exception:
pass
try:
if jobSpec.jobParams['maxWalltime'] not in (None, "NULL"):
workSpec.maxWalltime = max(
int(queue_config.walltimeLimit),
jobSpec.jobParams['maxWalltime'])
else:
workSpec.maxWalltime = queue_config.walltimeLimit
except Exception:
pass
return workSpec
def make_worker(self, jobspec_list, queue_config, resource_type):
workSpec = WorkSpec()
workSpec.resourceType = resource_type
if len(jobspec_list) > 0:
workSpec.nCore = 0
workSpec.minRamCount = 0
workSpec.maxDiskCount = 0
workSpec.maxWalltime = 0
for jobSpec in jobspec_list:
try:
workSpec.nCore += jobSpec.jobParams['coreCount']
except Exception:
workSpec.nCore += 1
try:
workSpec.minRamCount += jobSpec.jobParams['minRamCount']
except Exception:
pass
try:
workSpec.maxDiskCount += jobSpec.jobParams['maxDiskCount']
except Exception:
pass
try:
if jobSpec.jobParams['maxWalltime'] not in (None, "NULL"):
workSpec.maxWalltime = max(int(queue_config.walltimeLimit), jobSpec.jobParams['maxWalltime'])
else:
workSpec.maxWalltime = queue_config.walltimeLimit
except Exception:
pass
return workSpec
def make_worker(self, jobspec_list, queue_config, job_type, resource_type):
tmpLog = self.make_logger(_logger,
'queue={0}'.format(queue_config.queueName),
method_name='make_worker')
tmpLog.debug('jobspec_list: {0}'.format(jobspec_list))
workSpec = WorkSpec()
workSpec.creationTime = datetime.datetime.utcnow()
# get the queue configuration from the DB
panda_queues_dict = PandaQueuesDict()
queue_dict = panda_queues_dict.get(queue_config.queueName, {})
workSpec.minRamCount = queue_dict.get('maxrss', 1) or 1
workSpec.maxWalltime = queue_dict.get('maxtime', 1)
workSpec.maxDiskCount = queue_dict.get('maxwdir', 1)
# get info from jobs
if len(jobspec_list) > 0:
nRemainingEvents = 0
for jobspec in jobspec_list:
if jobspec.nRemainingEvents:
nRemainingEvents += jobspec.nRemainingEvents
nCore, maxWalltime = self.calculate_worker_requirements(
nRemainingEvents)
workSpec.nCore = nCore
workSpec.maxWalltime = maxWalltime
# TODO: this needs to be improved with real resource types
if resource_type and resource_type != 'ANY':
workSpec.resourceType = resource_type
elif workSpec.nCore == 1:
workSpec.resourceType = 'SCORE'
else:
workSpec.resourceType = 'MCORE'
return workSpec
def make_worker(self, jobspec_list, queue_config, resource_type):
tmpLog = self.make_logger(_logger, 'queue={0}'.format(queue_config.queueName),
method_name='make_worker')
tmpLog.debug('jobspec_list: {0}'.format(jobspec_list))
workSpec = WorkSpec()
workSpec.creationTime = datetime.datetime.utcnow()
# get the queue configuration from the DB
panda_queues_dict = PandaQueuesDict()
queue_dict = panda_queues_dict.get(queue_config.queueName, {})
workSpec.minRamCount = queue_dict.get('maxrss', 1) or 1
workSpec.maxWalltime = queue_dict.get('maxtime', 1)
workSpec.maxDiskCount = queue_dict.get('maxwdir', 1)
# get info from jobs
if len(jobspec_list) > 0:
nRemainingEvents = 0
for jobspec in jobspec_list:
if jobspec.nRemainingEvents:
nRemainingEvents += jobspec.nRemainingEvents
nCore, maxWalltime = self.calculate_worker_requirements(nRemainingEvents)
workSpec.nCore = nCore
workSpec.maxWalltime = maxWalltime
# TODO: this needs to be improved with real resource types
if resource_type and resource_type != 'ANY':
workSpec.resourceType = resource_type
elif workSpec.nCore == 1:
workSpec.resourceType = 'SCORE'
else:
workSpec.resourceType = 'MCORE'
return workSpec
def make_worker(self, jobspec_list, queue_config, resource_type):
tmpLog = self.make_logger(_logger,
'queue={0}'.format(queue_config.queueName),
method_name='make_worker')
tmpLog.debug('jobspec_list: {0}'.format(jobspec_list))
workSpec = WorkSpec()
workSpec.creationTime = datetime.datetime.utcnow()
# get the queue configuration from the DB
panda_queues_dict = PandaQueuesDict()
queue_dict = panda_queues_dict.get(queue_config.queueName, {})
unified_queue = queue_dict.get('capability', '') == 'ucore'
# case of traditional (non-unified) queue: look at the queue configuration
if not unified_queue:
workSpec.nCore = queue_dict.get('corecount', 1) or 1
workSpec.minRamCount = queue_dict.get('maxrss', 1) or 1
# case of unified queue: look at the resource type and queue configuration
else:
catchall = queue_dict.get('catchall', '')
if 'useMaxRam' in catchall or queue_config.queueName in (
'Taiwan-LCG2-HPC2_Unified', 'Taiwan-LCG2-HPC_Unified',
'DESY-ZN_UCORE'):
# temporary hack to debug killed workers in Taiwan queues
site_corecount = queue_dict.get('corecount', 1) or 1
site_maxrss = queue_dict.get('maxrss', 1) or 1
# some cases need to overwrite those values
if 'SCORE' in resource_type:
# the usual pilot streaming use case
workSpec.nCore = 1
workSpec.minRamCount = int(
math.ceil(site_maxrss / site_corecount))
else:
# default values
workSpec.nCore = site_corecount
workSpec.minRamCount = site_maxrss
else:
workSpec.nCore, workSpec.minRamCount = self.rt_mapper.calculate_worker_requirements(
resource_type, queue_dict)
# parameters that are independent on traditional vs unified
workSpec.maxWalltime = queue_dict.get('maxtime', 1)
workSpec.maxDiskCount = queue_dict.get('maxwdir', 1)
walltimeLimit_default = getattr(queue_config, 'walltimeLimit', 0)
if len(jobspec_list) > 0:
# get info from jobs
nCore = 0
minRamCount = 0
maxDiskCount = 0
maxWalltime = 0
ioIntensity = 0
for jobSpec in jobspec_list:
job_corecount, job_memory = self.get_job_core_and_memory(
queue_dict, jobSpec)
nCore += job_corecount
minRamCount += job_memory
try:
maxDiskCount += jobSpec.jobParams['maxDiskCount']
except Exception:
pass
try:
ioIntensity += jobSpec.jobParams['ioIntensity']
except Exception:
pass
try:
# maxWallTime from AGIS or qconf, not trusting job currently
maxWalltime = queue_dict.get('maxtime', walltimeLimit_default)
except Exception:
pass
if (nCore > 0 and 'nCore' in self.jobAttributesToUse) \
or unified_queue:
workSpec.nCore = nCore
if (minRamCount > 0 and 'minRamCount' in self.jobAttributesToUse) \
or unified_queue:
workSpec.minRamCount = minRamCount
if maxDiskCount > 0 and 'maxDiskCount' in self.jobAttributesToUse:
workSpec.maxDiskCount = maxDiskCount
if maxWalltime > 0 and 'maxWalltime' in self.jobAttributesToUse:
workSpec.maxWalltime = maxWalltime
if ioIntensity > 0 and 'ioIntensity' in self.jobAttributesToUse:
workSpec.ioIntensity = ioIntensity
workSpec.pilotType = jobspec_list[0].get_pilot_type()
else:
# when no job
# randomize pilot type with weighting
pdpm = getattr(queue_config,
'prodSourceLabelRandomWeightsPermille', {})
choice_list = core_utils.make_choice_list(pdpm=pdpm,
default='managed')
tmp_prodsourcelabel = random.choice(choice_list)
fake_job = JobSpec()
fake_job.jobParams = {}
fake_job.jobParams['prodSourceLabel'] = tmp_prodsourcelabel
workSpec.pilotType = fake_job.get_pilot_type()
del fake_job
if workSpec.pilotType in ['RC', 'ALRB', 'PT']:
tmpLog.info('a worker has pilotType={0}'.format(
workSpec.pilotType))
# TODO: this needs to be improved with real resource types
if resource_type and resource_type != 'ANY':
workSpec.resourceType = resource_type
elif workSpec.nCore == 1:
workSpec.resourceType = 'SCORE'
else:
workSpec.resourceType = 'MCORE'
return workSpec
def make_worker(self, jobspec_list, queue_config, resource_type):
tmpLog = self.make_logger(_logger, 'queue={0}'.format(queue_config.queueName),
method_name='make_worker')
tmpLog.debug('jobspec_list: {0}'.format(jobspec_list))
workSpec = WorkSpec()
workSpec.creationTime = datetime.datetime.utcnow()
# get the queue configuration from the DB
panda_queues_dict = PandaQueuesDict()
queue_dict = panda_queues_dict.get(queue_config.queueName, {})
unified_queue = queue_dict.get('capability', '') == 'ucore'
# case of traditional (non-unified) queue: look at the queue configuration
if not unified_queue:
workSpec.nCore = queue_dict.get('corecount', 1) or 1
workSpec.minRamCount = queue_dict.get('maxrss', 1) or 1
# case of unified queue: look at the resource type and queue configuration
else:
catchall = queue_dict.get('catchall', '')
if 'useMaxRam' in catchall or queue_config.queueName in ('Taiwan-LCG2-HPC2_Unified',
'Taiwan-LCG2-HPC_Unified', 'DESY-ZN_UCORE'):
# temporary hack to debug killed workers in Taiwan queues
site_corecount = queue_dict.get('corecount', 1) or 1
site_maxrss = queue_dict.get('maxrss', 1) or 1
# some cases need to overwrite those values
if 'SCORE' in resource_type:
# the usual pilot streaming use case
workSpec.nCore = 1
workSpec.minRamCount = site_maxrss / site_corecount
else:
# default values
workSpec.nCore = site_corecount
workSpec.minRamCount = site_maxrss
else:
workSpec.nCore, workSpec.minRamCount = self.rt_mapper.calculate_worker_requirements(resource_type,
queue_dict)
# parameters that are independent on traditional vs unified
workSpec.maxWalltime = queue_dict.get('maxtime', 1)
workSpec.maxDiskCount = queue_dict.get('maxwdir', 1)
walltimeLimit_default = getattr(queue_config, 'walltimeLimit', 0)
if len(jobspec_list) > 0:
# get info from jobs
nCore = 0
minRamCount = 0
maxDiskCount = 0
maxWalltime = 0
ioIntensity = 0
for jobSpec in jobspec_list:
job_corecount, job_memory = self.get_job_core_and_memory(queue_dict, jobSpec)
nCore += job_corecount
minRamCount += job_memory
try:
maxDiskCount += jobSpec.jobParams['maxDiskCount']
except Exception:
pass
try:
ioIntensity += jobSpec.jobParams['ioIntensity']
except Exception:
pass
try:
# maxWallTime from AGIS or qconf, not trusting job currently
maxWalltime = queue_dict.get('maxtime', walltimeLimit_default)
except Exception:
pass
if (nCore > 0 and 'nCore' in self.jobAttributesToUse) \
or unified_queue:
workSpec.nCore = nCore
if (minRamCount > 0 and 'minRamCount' in self.jobAttributesToUse) \
or unified_queue:
workSpec.minRamCount = minRamCount
if maxDiskCount > 0 and 'maxDiskCount' in self.jobAttributesToUse:
workSpec.maxDiskCount = maxDiskCount
if maxWalltime > 0 and 'maxWalltime' in self.jobAttributesToUse:
workSpec.maxWalltime = maxWalltime
if ioIntensity > 0 and 'ioIntensity' in self.jobAttributesToUse:
workSpec.ioIntensity = ioIntensity
workSpec.pilotType = jobspec_list[0].get_pilot_type()
else:
# when no job
# randomize pilot type with weighting
workSpec.pilotType = random.choice(self.pilotTypeRandomList)
if workSpec.pilotType in ['RC', 'ALRB', 'PT']:
tmpLog.info('a worker has pilotType={0}'.format(workSpec.pilotType))
# TODO: this needs to be improved with real resource types
if resource_type and resource_type != 'ANY':
workSpec.resourceType = resource_type
elif workSpec.nCore == 1:
workSpec.resourceType = 'SCORE'
else:
workSpec.resourceType = 'MCORE'
return workSpec
def make_worker(self, jobspec_list, queue_config, resource_type):
tmpLog = core_utils.make_logger(_logger,
'queue={0}'.format(
queue_config.queueName),
method_name='make_worker')
tmpLog.debug('jobspec_list: {0}'.format(jobspec_list))
workSpec = WorkSpec()
# get the queue configuration from the DB
panda_queues_dict = PandaQueuesDict()
queue_dict = panda_queues_dict.get(queue_config.queueName, {})
unified_queue = 'unifiedPandaQueue' in queue_dict.get('catchall', '')
# case of traditional (non-unified) queue: look at the queue configuration
if not unified_queue:
workSpec.nCore = queue_dict.get('corecount', 1) or 1
workSpec.minRamCount = queue_dict.get('maxrss', 1) or 1
# case of unified queue: look at the resource type and queue configuration
else:
site_corecount = queue_dict.get('corecount', 1) or 1
site_maxrss = queue_dict.get('maxrss', 1) or 1
if 'SCORE' in resource_type:
workSpec.nCore = 1
workSpec.minRamCount = site_maxrss / site_corecount
else:
workSpec.nCore = site_corecount
workSpec.minRamCount = site_maxrss
# parameters that are independent on traditional vs unified
workSpec.maxWalltime = queue_dict.get('maxtime', 1)
workSpec.maxDiskCount = queue_dict.get('maxwdir', 1)
# get info from jobs
if len(jobspec_list) > 0:
nCore = 0
minRamCount = 0
maxDiskCount = 0
maxWalltime = 0
for jobSpec in jobspec_list:
try:
nCore += jobSpec.jobParams['coreCount']
except:
nCore += 1
try:
minRamCount += jobSpec.jobParams['minRamCount']
except:
pass
try:
maxDiskCount += jobSpec.jobParams['maxDiskCount']
except:
pass
try:
if jobSpec.jobParams['maxWalltime'] not in (None, "NULL"):
if hasattr(queue_config, 'maxWalltime'):
maxWalltime = max(int(queue_config.walltimeLimit),
jobSpec.jobParams['maxWalltime'])
else:
maxWalltime = jobSpec.jobParams['maxWalltime']
else:
maxWalltime = queue_config.walltimeLimit
except:
pass
if nCore > 0 and 'nCore' in self.jobAttributesToUse:
workSpec.nCore = nCore
if minRamCount > 0 and 'minRamCount' in self.jobAttributesToUse:
workSpec.minRamCount = minRamCount
if maxDiskCount > 0 and 'maxDiskCount' in self.jobAttributesToUse:
workSpec.maxDiskCount = maxDiskCount
if maxWalltime > 0 and 'maxWalltime' in self.jobAttributesToUse:
workSpec.maxWalltime = maxWalltime
# TODO: this needs to be improved with real resource types
if resource_type and resource_type != 'ANY':
workSpec.resourceType = resource_type
elif workSpec.nCore == 1:
workSpec.resourceType = 'SCORE'
else:
workSpec.resourceType = 'MCORE'
return workSpec
def make_worker(self, jobspec_list, queue_config, resource_type):
tmpLog = self.make_logger(_logger,
'queue={0}'.format(queue_config.queueName),
method_name='make_worker')
tmpLog.debug('jobspec_list: {0}'.format(jobspec_list))
workSpec = WorkSpec()
workSpec.creationTime = datetime.datetime.utcnow()
# get the queue configuration from the DB
panda_queues_dict = PandaQueuesDict()
queue_dict = panda_queues_dict.get(queue_config.queueName, {})
unified_queue = 'unifiedPandaQueue' in queue_dict.get('catchall', '')\
or queue_dict.get('capability', '') == 'ucore'
# case of traditional (non-unified) queue: look at the queue configuration
if not unified_queue:
workSpec.nCore = queue_dict.get('corecount', 1) or 1
workSpec.minRamCount = queue_dict.get('maxrss', 1) or 1
# case of unified queue: look at the resource type and queue configuration
else:
if queue_config.queueName in ('Taiwan-LCG2-HPC2_Unified',
'Taiwan-LCG2-HPC_Unified'):
# temporary hack to debug killed workers in Taiwan queues
site_corecount = queue_dict.get('corecount', 1) or 1
site_maxrss = queue_dict.get('maxrss', 1) or 1
# some cases need to overwrite those values
if 'SCORE' in resource_type:
# the usual pilot streaming use case
workSpec.nCore = 1
workSpec.minRamCount = site_maxrss / site_corecount
else:
# default values
workSpec.nCore = site_corecount
workSpec.minRamCount = site_maxrss
else:
workSpec.nCore, workSpec.minRamCount = self.rt_mapper.calculate_worker_requirements(
resource_type, queue_dict)
# parameters that are independent on traditional vs unified
workSpec.maxWalltime = queue_dict.get('maxtime', 1)
workSpec.maxDiskCount = queue_dict.get('maxwdir', 1)
# get info from jobs
if len(jobspec_list) > 0:
nCore = 0
minRamCount = 0
maxDiskCount = 0
maxWalltime = 0
for jobSpec in jobspec_list:
job_corecount, job_memory = self.get_job_core_and_memory(
queue_dict, jobSpec)
nCore += job_corecount
minRamCount += job_memory
try:
maxDiskCount += jobSpec.jobParams['maxDiskCount']
except Exception:
pass
try:
if jobSpec.jobParams['maxWalltime'] not in (None, "NULL"):
if hasattr(queue_config, 'maxWalltime'):
maxWalltime = max(int(queue_config.walltimeLimit),
jobSpec.jobParams['maxWalltime'])
else:
maxWalltime = jobSpec.jobParams['maxWalltime']
else:
maxWalltime = queue_config.walltimeLimit
except Exception:
pass
if (nCore > 0 and 'nCore' in self.jobAttributesToUse) \
or unified_queue:
workSpec.nCore = nCore
if (minRamCount > 0 and 'minRamCount' in self.jobAttributesToUse) \
or unified_queue:
workSpec.minRamCount = minRamCount
if maxDiskCount > 0 and 'maxDiskCount' in self.jobAttributesToUse:
workSpec.maxDiskCount = maxDiskCount
if maxWalltime > 0 and 'maxWalltime' in self.jobAttributesToUse:
workSpec.maxWalltime = maxWalltime
# TODO: this needs to be improved with real resource types
if resource_type and resource_type != 'ANY':
workSpec.resourceType = resource_type
elif workSpec.nCore == 1:
workSpec.resourceType = 'SCORE'
else:
workSpec.resourceType = 'MCORE'
return workSpec