def __init__(self, queue_config_mapper, single_mode=False):
AgentBase.__init__(self, single_mode)
self.queueConfigMapper = queue_config_mapper
self.dbProxy = DBProxy()
self.workerMaker = WorkerMaker()
self.workerAdjuster = WorkerAdjuster(queue_config_mapper)
self.pluginFactory = PluginFactory()
def __init__(self, queue_config_mapper, single_mode=False):
AgentBase.__init__(self, single_mode)
self.queueConfigMapper = queue_config_mapper
self.dbProxy = DBProxy()
self.workerMaker = WorkerMaker()
self.workerAdjuster = WorkerAdjuster(queue_config_mapper)
self.pluginFactory = PluginFactory()
self.monitor_fifo = MonitorFIFO()
self.apfmon = Apfmon(self.queueConfigMapper)
class Submitter(AgentBase):
# constructor
def __init__(self, queue_config_mapper, single_mode=False):
AgentBase.__init__(self, single_mode)
self.queueConfigMapper = queue_config_mapper
self.dbProxy = DBProxy()
self.workerMaker = WorkerMaker()
self.workerAdjuster = WorkerAdjuster(queue_config_mapper)
self.pluginFactory = PluginFactory()
# main loop
def run(self):
lockedBy = 'submitter-{0}'.format(self.ident)
while True:
mainLog = core_utils.make_logger(_logger,
'id={0}'.format(lockedBy),
method_name='run')
mainLog.debug('getting queues to submit workers')
# get queues associated to a site to submit workers
curWorkers, siteName, resMap = self.dbProxy.get_queues_to_submit(
harvester_config.submitter.nQueues,
harvester_config.submitter.lookupTime)
mainLog.debug('got {0} queues for site {1}'.format(
len(curWorkers), siteName))
# get commands
if siteName is not None:
comStr = '{0}:{1}'.format(CommandSpec.COM_setNWorkers,
siteName)
commandSpecs = self.dbProxy.get_commands_for_receiver(
'submitter', comStr)
mainLog.debug('got {0} commands'.format(len(commandSpecs)))
for commandSpec in commandSpecs:
newLimits = self.dbProxy.set_queue_limit(
siteName, commandSpec.params)
for tmpResource, tmpNewVal in iteritems(newLimits):
if tmpResource in resMap:
tmpQueueName = resMap[tmpResource]
if tmpQueueName in curWorkers:
curWorkers[tmpQueueName][
'nNewWorkers'] = tmpNewVal
# define number of new workers
if len(curWorkers) == 0:
nWorkersPerQueue = dict()
else:
nWorkersPerQueue = self.workerAdjuster.define_num_workers(
curWorkers, siteName)
if nWorkersPerQueue is None:
mainLog.error(
'WorkerAdjuster failed to define the number of workers')
elif len(nWorkersPerQueue) == 0:
pass
else:
# loop over all queues
for queueName, tmpVal in iteritems(nWorkersPerQueue):
tmpLog = core_utils.make_logger(
_logger,
'queue={0}'.format(queueName),
method_name='run')
tmpLog.debug('start')
nWorkers = tmpVal['nNewWorkers'] + tmpVal['nReady']
nReady = tmpVal['nReady']
# check queue
if not self.queueConfigMapper.has_queue(queueName):
tmpLog.error('config not found')
continue
# no new workers
if nWorkers == 0:
tmpLog.debug(
'skipped since no new worker is needed based on current stats'
)
continue
# get queue
queueConfig = self.queueConfigMapper.get_queue(queueName)
# actions based on mapping type
if queueConfig.mapType == WorkSpec.MT_NoJob:
# workers without jobs
jobChunks = []
for i in range(nWorkers):
jobChunks.append([])
elif queueConfig.mapType == WorkSpec.MT_OneToOne:
# one worker per one job
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName, nWorkers, nReady, 1, None,
queueConfig.useJobLateBinding,
harvester_config.submitter.checkInterval,
harvester_config.submitter.lockInterval, lockedBy)
elif queueConfig.mapType == WorkSpec.MT_MultiJobs:
# one worker for multiple jobs
nJobsPerWorker = self.workerMaker.get_num_jobs_per_worker(
queueConfig, nWorkers)
tmpLog.debug(
'nJobsPerWorker={0}'.format(nJobsPerWorker))
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName, nWorkers, nReady, nJobsPerWorker, None,
queueConfig.useJobLateBinding,
harvester_config.submitter.checkInterval,
harvester_config.submitter.lockInterval, lockedBy,
queueConfig.allowJobMixture)
elif queueConfig.mapType == WorkSpec.MT_MultiWorkers:
# multiple workers for one job
nWorkersPerJob = self.workerMaker.get_num_workers_per_job(
queueConfig, nWorkers)
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName, nWorkers, nReady, None, nWorkersPerJob,
queueConfig.useJobLateBinding,
harvester_config.submitter.checkInterval,
harvester_config.submitter.lockInterval, lockedBy)
else:
tmpLog.error('unknown mapType={0}'.format(
queueConfig.mapType))
continue
tmpLog.debug('got {0} job chunks'.format(len(jobChunks)))
if len(jobChunks) == 0:
continue
# make workers
okChunks, ngChunks = self.workerMaker.make_workers(
jobChunks, queueConfig, nReady)
if len(ngChunks) == 0:
tmpLog.debug('successfully made {0} workers'.format(
len(okChunks)))
else:
tmpLog.debug(
'made {0} workers, while {1} workers failed'.
format(len(okChunks), len(ngChunks)))
timeNow = datetime.datetime.utcnow()
# NG
for ngJobs in ngChunks:
for jobSpec in ngJobs:
jobSpec.status = 'failed'
jobSpec.subStatus = 'failedtomake'
jobSpec.stateChangeTime = timeNow
jobSpec.lockedBy = None
jobSpec.trigger_propagation()
self.dbProxy.update_job(jobSpec, {
'lockedBy': lockedBy,
'subStatus': 'prepared'
})
# OK
pandaIDs = set()
workSpecList = []
if len(okChunks) > 0:
for workSpec, okJobs in okChunks:
# has job
if (queueConfig.useJobLateBinding and workSpec.workerID is None) \
or queueConfig.mapType == WorkSpec.MT_NoJob:
workSpec.hasJob = 0
else:
workSpec.hasJob = 1
if workSpec.nJobsToReFill in [None, 0]:
workSpec.set_jobspec_list(okJobs)
else:
# refill free slots during the worker is running
workSpec.set_jobspec_list(
okJobs[:workSpec.nJobsToReFill])
workSpec.nJobsToReFill = None
for jobSpec in okJobs[workSpec.
nJobsToReFill:]:
pandaIDs.add(jobSpec.PandaID)
# map type
workSpec.mapType = queueConfig.mapType
# queue name
workSpec.computingSite = queueConfig.queueName
# set access point
workSpec.accessPoint = queueConfig.messenger[
'accessPoint']
# events
if len(okJobs) > 0 and (
'eventService' in okJobs[0].jobParams
or 'cloneJob' in okJobs[0].jobParams):
workSpec.eventsRequest = WorkSpec.EV_useEvents
workSpecList.append(workSpec)
if len(workSpecList) > 0:
# get plugin for submitter
submitterCore = self.pluginFactory.get_plugin(
queueConfig.submitter)
if submitterCore is None:
# not found
tmpLog.error(
'submitter plugin for {0} not found'.format(
jobSpec.computingSite))
continue
# get plugin for messenger
messenger = self.pluginFactory.get_plugin(
queueConfig.messenger)
if messenger is None:
# not found
tmpLog.error(
'messenger plugin for {0} not found'.format(
jobSpec.computingSite))
continue
# setup access points
messenger.setup_access_points(workSpecList)
# feed jobs
for workSpec in workSpecList:
if workSpec.hasJob == 1:
tmpStat = messenger.feed_jobs(
workSpec, workSpec.get_jobspec_list())
if tmpStat is False:
tmpLog.error(
'failed to send jobs to workerID={0}'.
format(workSpec.workerID))
else:
tmpLog.debug(
'sent jobs to workerID={0} with {1}'.
format(workSpec.workerID, tmpStat))
# submit
tmpLog.debug('submitting {0} workers'.format(
len(workSpecList)))
workSpecList, tmpRetList, tmpStrList = self.submit_workers(
submitterCore, workSpecList)
for iWorker, (tmpRet, tmpStr) in enumerate(
zip(tmpRetList, tmpStrList)):
workSpec, jobList = okChunks[iWorker]
# use associated job list since it can be truncated for re-filling
jobList = workSpec.get_jobspec_list()
# set status
if not tmpRet:
# failed submission
tmpLog.error(
'failed to submit a workerID={0} with {1}'.
format(workSpec.workerID, tmpStr))
workSpec.set_status(WorkSpec.ST_missed)
jobList = []
elif queueConfig.useJobLateBinding and workSpec.hasJob == 1:
# directly go to running after feeding jobs for late biding
workSpec.set_status(WorkSpec.ST_running)
else:
# normal successful submission
workSpec.set_status(WorkSpec.ST_submitted)
workSpec.submitTime = timeNow
workSpec.modificationTime = timeNow
# prefetch events
if tmpRet and workSpec.hasJob == 1 and workSpec.eventsRequest == WorkSpec.EV_useEvents:
workSpec.eventsRequest = WorkSpec.EV_requestEvents
eventsRequestParams = dict()
for jobSpec in jobList:
eventsRequestParams[jobSpec.PandaID] = {
'pandaID': jobSpec.PandaID,
'taskID': jobSpec.taskID,
'jobsetID':
jobSpec.jobParams['jobsetID'],
'nRanges':
jobSpec.jobParams['coreCount'],
}
workSpec.eventsRequestParams = eventsRequestParams
# register worker
tmpStat = self.dbProxy.register_worker(
workSpec, jobList, lockedBy)
if jobList is not None:
for jobSpec in jobList:
pandaIDs.add(jobSpec.PandaID)
if tmpStat:
tmpStr = 'submitted a workerID={0} for PandaID={1} with batchID={2}'
tmpLog.info(
tmpStr.format(
workSpec.workerID,
jobSpec.PandaID,
workSpec.batchID))
else:
tmpStr = 'failed to register a worker for PandaID={0} with batchID={1}'
tmpLog.error(
tmpStr.format(
jobSpec.PandaID,
workSpec.batchID))
# release jobs
self.dbProxy.release_jobs(pandaIDs, lockedBy)
mainLog.debug('done')
# check if being terminated
if self.terminated(harvester_config.submitter.sleepTime):
mainLog.debug('terminated')
return
# wrapper for submitWorkers to skip ready workers
def submit_workers(self, submitter_core, workspec_list):
retList = []
strList = []
newSpecList = []
workersToSubmit = []
for workSpec in workspec_list:
if workSpec.status == WorkSpec.ST_ready:
newSpecList.append(workSpec)
retList.append(True)
strList.append('')
else:
workersToSubmit.append(workSpec)
tmpRetList = submitter_core.submit_workers(workersToSubmit)
for tmpRet, tmpStr in tmpRetList:
retList.append(tmpRet)
strList.append(tmpStr)
newSpecList += workersToSubmit
return newSpecList, retList, strList
class Submitter(AgentBase):
# fifos
monitor_fifo = MonitorFIFO()
# constructor
def __init__(self, queue_config_mapper, single_mode=False):
AgentBase.__init__(self, single_mode)
self.queueConfigMapper = queue_config_mapper
self.dbProxy = DBProxy()
self.workerMaker = WorkerMaker()
self.workerAdjuster = WorkerAdjuster(queue_config_mapper)
self.pluginFactory = PluginFactory()
# main loop
def run(self):
lockedBy = 'submitter-{0}'.format(self.get_pid())
monitor_fifo = self.monitor_fifo
while True:
mainLog = self.make_logger(_logger,
'id={0}'.format(lockedBy),
method_name='run')
mainLog.debug('getting queues to submit workers')
# get queues associated to a site to submit workers
curWorkers, siteName, resMap = self.dbProxy.get_queues_to_submit(
harvester_config.submitter.nQueues,
harvester_config.submitter.lookupTime,
harvester_config.submitter.lockInterval)
submitted = False
if siteName is not None:
mainLog.debug('got {0} queues for site {1}'.format(
len(curWorkers), siteName))
# get commands
comStr = '{0}:{1}'.format(CommandSpec.COM_setNWorkers,
siteName)
commandSpecs = self.dbProxy.get_commands_for_receiver(
'submitter', comStr)
mainLog.debug('got {0} {1} commands'.format(
commandSpecs, comStr))
for commandSpec in commandSpecs:
newLimits = self.dbProxy.set_queue_limit(
siteName, commandSpec.params)
for tmpResource, tmpNewVal in iteritems(newLimits):
# if available, overwrite new worker value with the command from panda server
if tmpResource in resMap:
tmpQueueName = resMap[tmpResource]
if tmpQueueName in curWorkers:
curWorkers[tmpQueueName][tmpResource][
'nNewWorkers'] = tmpNewVal
# define number of new workers
if len(curWorkers) == 0:
n_workers_per_queue_and_rt = dict()
else:
n_workers_per_queue_and_rt = self.workerAdjuster.define_num_workers(
curWorkers, siteName)
if n_workers_per_queue_and_rt is None:
mainLog.error(
'WorkerAdjuster failed to define the number of workers'
)
elif len(n_workers_per_queue_and_rt) == 0:
pass
else:
# loop over all queues and resource types
for queueName in n_workers_per_queue_and_rt:
for resource_type, tmpVal in iteritems(
n_workers_per_queue_and_rt[queueName]):
tmpLog = self.make_logger(
_logger,
'id={0} queue={1} rtype={2}'.format(
lockedBy, queueName, resource_type),
method_name='run')
try:
tmpLog.debug('start')
tmpLog.debug('workers status: %s' % tmpVal)
nWorkers = tmpVal['nNewWorkers'] + tmpVal[
'nReady']
nReady = tmpVal['nReady']
# check queue
if not self.queueConfigMapper.has_queue(
queueName):
tmpLog.error('config not found')
continue
# no new workers
if nWorkers == 0:
tmpLog.debug(
'skipped since no new worker is needed based on current stats'
)
continue
# get queue
queueConfig = self.queueConfigMapper.get_queue(
queueName)
workerMakerCore = self.workerMaker.get_plugin(
queueConfig)
# check if resource is ready
if hasattr(
workerMakerCore, 'dynamicSizing'
) and workerMakerCore.dynamicSizing is True:
numReadyResources = self.workerMaker.num_ready_resources(
queueConfig, resource_type,
workerMakerCore)
tmpLog.debug('numReadyResources: %s' %
numReadyResources)
if not numReadyResources:
if hasattr(workerMakerCore,
'staticWorkers'):
nQRWorkers = tmpVal[
'nQueue'] + tmpVal['nRunning']
tmpLog.debug(
'staticWorkers: %s, nQRWorkers(Queue+Running): %s'
%
(workerMakerCore.staticWorkers,
nQRWorkers))
if nQRWorkers >= workerMakerCore.staticWorkers:
tmpLog.debug(
'No left static workers, skip'
)
continue
else:
nWorkers = min(
workerMakerCore.
staticWorkers - nQRWorkers,
nWorkers)
tmpLog.debug(
'staticWorkers: %s, nWorkers: %s'
%
(workerMakerCore.
staticWorkers, nWorkers))
else:
tmpLog.debug(
'skip since no resources are ready'
)
continue
else:
nWorkers = min(nWorkers,
numReadyResources)
# post action of worker maker
if hasattr(
workerMakerCore, 'skipOnFail'
) and workerMakerCore.skipOnFail is True:
skipOnFail = True
else:
skipOnFail = False
# actions based on mapping type
if queueConfig.mapType == WorkSpec.MT_NoJob:
# workers without jobs
jobChunks = []
for i in range(nWorkers):
jobChunks.append([])
elif queueConfig.mapType == WorkSpec.MT_OneToOne:
# one worker per one job
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName, nWorkers, nReady, 1, None,
queueConfig.useJobLateBinding,
harvester_config.submitter.
checkInterval, harvester_config.
submitter.lockInterval, lockedBy)
elif queueConfig.mapType == WorkSpec.MT_MultiJobs:
# one worker for multiple jobs
nJobsPerWorker = self.workerMaker.get_num_jobs_per_worker(
queueConfig,
nWorkers,
resource_type,
maker=workerMakerCore)
tmpLog.debug('nJobsPerWorker={0}'.format(
nJobsPerWorker))
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName, nWorkers, nReady,
nJobsPerWorker, None,
queueConfig.useJobLateBinding,
harvester_config.submitter.
checkInterval, harvester_config.
submitter.lockInterval, lockedBy,
queueConfig.allowJobMixture)
elif queueConfig.mapType == WorkSpec.MT_MultiWorkers:
# multiple workers for one job
nWorkersPerJob = self.workerMaker.get_num_workers_per_job(
queueConfig,
nWorkers,
resource_type,
maker=workerMakerCore)
tmpLog.debug('nWorkersPerJob={0}'.format(
nWorkersPerJob))
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName, nWorkers, nReady, None,
nWorkersPerJob,
queueConfig.useJobLateBinding,
harvester_config.submitter.
checkInterval, harvester_config.
submitter.lockInterval, lockedBy)
else:
tmpLog.error('unknown mapType={0}'.format(
queueConfig.mapType))
continue
tmpLog.debug('got {0} job chunks'.format(
len(jobChunks)))
if len(jobChunks) == 0:
continue
# make workers
okChunks, ngChunks = self.workerMaker.make_workers(
jobChunks,
queueConfig,
nReady,
resource_type,
maker=workerMakerCore)
if len(ngChunks) == 0:
tmpLog.debug(
'successfully made {0} workers'.format(
len(okChunks)))
else:
tmpLog.debug(
'made {0} workers, while {1} workers failed'
.format(len(okChunks), len(ngChunks)))
timeNow = datetime.datetime.utcnow()
timeNow_timestamp = time.time()
pandaIDs = set()
# NG (=not good)
for ngJobs in ngChunks:
for jobSpec in ngJobs:
if skipOnFail:
# release jobs when workers are not made
pandaIDs.add(jobSpec.PandaID)
else:
jobSpec.status = 'failed'
jobSpec.subStatus = 'failed_to_make'
jobSpec.stateChangeTime = timeNow
jobSpec.lockedBy = None
errStr = 'failed to make a worker'
jobSpec.set_pilot_error(
PilotErrors.ERR_SETUPFAILURE,
errStr)
jobSpec.trigger_propagation()
self.dbProxy.update_job(
jobSpec, {
'lockedBy': lockedBy,
'subStatus': 'prepared'
})
# OK
workSpecList = []
if len(okChunks) > 0:
for workSpec, okJobs in okChunks:
# has job
if (queueConfig.useJobLateBinding and workSpec.workerID is None) \
or queueConfig.mapType == WorkSpec.MT_NoJob:
workSpec.hasJob = 0
else:
workSpec.hasJob = 1
if workSpec.nJobsToReFill in [
None, 0
]:
workSpec.set_jobspec_list(
okJobs)
else:
# refill free slots during the worker is running
workSpec.set_jobspec_list(
okJobs[:workSpec.
nJobsToReFill])
workSpec.nJobsToReFill = None
for jobSpec in okJobs[
workSpec.
nJobsToReFill:]:
pandaIDs.add(
jobSpec.PandaID)
workSpec.set_num_jobs_with_list()
# map type
workSpec.mapType = queueConfig.mapType
# queue name
workSpec.computingSite = queueConfig.queueName
# set access point
workSpec.accessPoint = queueConfig.messenger[
'accessPoint']
# sync level
workSpec.syncLevel = queueConfig.get_synchronization_level(
)
# events
if len(okJobs) > 0 and \
('eventService' in okJobs[0].jobParams or
'cloneJob' in okJobs[0].jobParams):
workSpec.eventsRequest = WorkSpec.EV_useEvents
workSpecList.append(workSpec)
if len(workSpecList) > 0:
# get plugin for submitter
submitterCore = self.pluginFactory.get_plugin(
queueConfig.submitter)
if submitterCore is None:
# not found
tmpLog.error(
'submitter plugin for {0} not found'
.format(jobSpec.computingSite))
continue
# get plugin for messenger
messenger = self.pluginFactory.get_plugin(
queueConfig.messenger)
if messenger is None:
# not found
tmpLog.error(
'messenger plugin for {0} not found'
.format(jobSpec.computingSite))
continue
# setup access points
messenger.setup_access_points(workSpecList)
# feed jobs
for workSpec in workSpecList:
if workSpec.hasJob == 1:
tmpStat = messenger.feed_jobs(
workSpec,
workSpec.get_jobspec_list())
if tmpStat is False:
tmpLog.error(
'failed to send jobs to workerID={0}'
.format(workSpec.workerID))
else:
tmpLog.debug(
'sent jobs to workerID={0} with {1}'
.format(
workSpec.workerID,
tmpStat))
# insert workers
self.dbProxy.insert_workers(
workSpecList, lockedBy)
# submit
tmpLog.info(
'submitting {0} workers'.format(
len(workSpecList)))
workSpecList, tmpRetList, tmpStrList = self.submit_workers(
submitterCore, workSpecList)
for iWorker, (tmpRet, tmpStr) in enumerate(
zip(tmpRetList, tmpStrList)):
workSpec, jobList = okChunks[iWorker]
# use associated job list since it can be truncated for re-filling
jobList = workSpec.get_jobspec_list()
# set status
if not tmpRet:
# failed submission
errStr = 'failed to submit a workerID={0} with {1}'.format(
workSpec.workerID, tmpStr)
tmpLog.error(errStr)
workSpec.set_status(
WorkSpec.ST_missed)
workSpec.set_dialog_message(tmpStr)
workSpec.set_pilot_error(
PilotErrors.ERR_SETUPFAILURE,
errStr)
if jobList is not None:
# increment attempt number
newJobList = []
for jobSpec in jobList:
if jobSpec.submissionAttempts is None:
jobSpec.submissionAttempts = 0
jobSpec.submissionAttempts += 1
# max attempt or permanent error
if tmpRet is False or \
jobSpec.submissionAttempts >= \
queueConfig.maxSubmissionAttempts:
newJobList.append(
jobSpec)
else:
self.dbProxy.increment_submission_attempt(
jobSpec.PandaID,
jobSpec.
submissionAttempts)
jobList = newJobList
elif queueConfig.useJobLateBinding and workSpec.hasJob == 1:
# directly go to running after feeding jobs for late biding
workSpec.set_status(
WorkSpec.ST_running)
else:
# normal successful submission
workSpec.set_status(
WorkSpec.ST_submitted)
workSpec.submitTime = timeNow
workSpec.modificationTime = timeNow
workSpec.checkTime = timeNow
if self.monitor_fifo.enabled:
workSpec.set_work_params({
'lastCheckAt':
timeNow_timestamp
})
# prefetch events
if tmpRet and workSpec.hasJob == 1 and \
workSpec.eventsRequest == WorkSpec.EV_useEvents and \
queueConfig.prefetchEvents:
workSpec.eventsRequest = WorkSpec.EV_requestEvents
eventsRequestParams = dict()
for jobSpec in jobList:
eventsRequestParams[jobSpec.PandaID] = \
{'pandaID': jobSpec.PandaID,
'taskID': jobSpec.taskID,
'jobsetID': jobSpec.jobParams['jobsetID'],
'nRanges': max(int(math.ceil(workSpec.nCore / len(jobList))),
jobSpec.jobParams['coreCount']),
}
workSpec.eventsRequestParams = eventsRequestParams
# register worker
tmpStat = self.dbProxy.register_worker(
workSpec, jobList, lockedBy)
if jobList is not None:
for jobSpec in jobList:
pandaIDs.add(jobSpec.PandaID)
if tmpStat:
if tmpRet:
tmpStr = \
'submitted a workerID={0} for PandaID={1} with batchID={2}'
tmpLog.info(
tmpStr.format(
workSpec.
workerID,
jobSpec.
PandaID,
workSpec.
batchID))
else:
tmpStr = 'failed to submit a workerID={0} for PandaID={1}'
tmpLog.error(
tmpStr.format(
workSpec.
workerID,
jobSpec.PandaID
))
else:
tmpStr = \
'failed to register a worker for PandaID={0} with batchID={1}'
tmpLog.error(
tmpStr.format(
jobSpec.PandaID,
workSpec.batchID))
# enqueue to monitor fifo
if self.monitor_fifo.enabled \
and queueConfig.mapType != WorkSpec.MT_MultiWorkers:
workSpecsToEnqueue = \
[[w] for w in workSpecList if w.status
in (WorkSpec.ST_submitted, WorkSpec.ST_running)]
monitor_fifo.put(
(queueName, workSpecsToEnqueue))
mainLog.debug(
'put workers to monitor FIFO')
submitted = True
# release jobs
self.dbProxy.release_jobs(pandaIDs, lockedBy)
tmpLog.info('done')
except Exception:
core_utils.dump_error_message(tmpLog)
mainLog.debug('done')
# define sleep interval
if siteName is None:
sleepTime = harvester_config.submitter.sleepTime
else:
sleepTime = 0
if submitted and hasattr(harvester_config.submitter,
'minSubmissionInterval'):
interval = harvester_config.submitter.minSubmissionInterval
if interval > 0:
newTime = datetime.datetime.utcnow(
) + datetime.timedelta(seconds=interval)
self.dbProxy.update_panda_queue_attribute(
'submitTime', newTime, site_name=siteName)
# check if being terminated
if self.terminated(sleepTime):
mainLog.debug('terminated')
return
# wrapper for submitWorkers to skip ready workers
def submit_workers(self, submitter_core, workspec_list):
retList = []
strList = []
newSpecList = []
workersToSubmit = []
for workSpec in workspec_list:
if workSpec.status in [WorkSpec.ST_ready, WorkSpec.ST_running]:
newSpecList.append(workSpec)
retList.append(True)
strList.append('')
else:
workersToSubmit.append(workSpec)
tmpRetList = submitter_core.submit_workers(workersToSubmit)
for tmpRet, tmpStr in tmpRetList:
retList.append(tmpRet)
strList.append(tmpStr)
newSpecList += workersToSubmit
return newSpecList, retList, strList
class Submitter(AgentBase):
# constructor
def __init__(self, queue_config_mapper, single_mode=False):
AgentBase.__init__(self, single_mode)
self.queueConfigMapper = queue_config_mapper
self.dbProxy = DBProxy()
self.workerMaker = WorkerMaker()
self.workerAdjuster = WorkerAdjuster(queue_config_mapper)
self.pluginFactory = PluginFactory()
self.monitor_fifo = MonitorFIFO()
self.apfmon = Apfmon(self.queueConfigMapper)
# main loop
def run(self):
lockedBy = 'submitter-{0}'.format(self.get_pid())
monitor_fifo = self.monitor_fifo
queueLockInterval = getattr(harvester_config.submitter, 'queueLockInterval',
harvester_config.submitter.lockInterval)
while True:
sw_main = core_utils.get_stopwatch()
mainLog = self.make_logger(_logger, 'id={0}'.format(lockedBy), method_name='run')
mainLog.debug('getting queues to submit workers')
# get queues associated to a site to submit workers
curWorkers, siteName, resMap = self.dbProxy.get_queues_to_submit(harvester_config.submitter.nQueues,
harvester_config.submitter.lookupTime,
harvester_config.submitter.lockInterval,
lockedBy, queueLockInterval)
submitted = False
if siteName is not None:
mainLog.debug('got {0} queues for site {1}'.format(len(curWorkers), siteName))
# get commands
comStr = '{0}:{1}'.format(CommandSpec.COM_setNWorkers, siteName)
commandSpecs = self.dbProxy.get_commands_for_receiver('submitter', comStr)
mainLog.debug('got {0} {1} commands'.format(commandSpecs, comStr))
for commandSpec in commandSpecs:
newLimits = self.dbProxy.set_queue_limit(siteName, commandSpec.params)
for tmpResource, tmpNewVal in iteritems(newLimits):
# if available, overwrite new worker value with the command from panda server
if tmpResource in resMap:
tmpQueueName = resMap[tmpResource]
if tmpQueueName in curWorkers:
curWorkers[tmpQueueName][tmpResource]['nNewWorkers'] = tmpNewVal
# define number of new workers
if len(curWorkers) == 0:
n_workers_per_queue_and_rt = dict()
else:
n_workers_per_queue_and_rt = self.workerAdjuster.define_num_workers(curWorkers, siteName)
if n_workers_per_queue_and_rt is None:
mainLog.error('WorkerAdjuster failed to define the number of workers')
elif len(n_workers_per_queue_and_rt) == 0:
pass
else:
# loop over all queues and resource types
for queueName in n_workers_per_queue_and_rt:
for resource_type, tmpVal in iteritems(n_workers_per_queue_and_rt[queueName]):
tmpLog = self.make_logger(_logger, 'id={0} queue={1} rtype={2}'.format(lockedBy,
queueName,
resource_type),
method_name='run')
try:
tmpLog.debug('start')
tmpLog.debug('workers status: %s' % tmpVal)
nWorkers = tmpVal['nNewWorkers'] + tmpVal['nReady']
nReady = tmpVal['nReady']
# check queue
if not self.queueConfigMapper.has_queue(queueName):
tmpLog.error('config not found')
continue
# no new workers
if nWorkers == 0:
tmpLog.debug('skipped since no new worker is needed based on current stats')
continue
# get queue
queueConfig = self.queueConfigMapper.get_queue(queueName)
workerMakerCore = self.workerMaker.get_plugin(queueConfig)
# check if resource is ready
if hasattr(workerMakerCore, 'dynamicSizing') and workerMakerCore.dynamicSizing is True:
numReadyResources = self.workerMaker.num_ready_resources(queueConfig,
resource_type,
workerMakerCore)
tmpLog.debug('numReadyResources: %s' % numReadyResources)
if not numReadyResources:
if hasattr(workerMakerCore, 'staticWorkers'):
nQRWorkers = tmpVal['nQueue'] + tmpVal['nRunning']
tmpLog.debug('staticWorkers: %s, nQRWorkers(Queue+Running): %s' %
(workerMakerCore.staticWorkers, nQRWorkers))
if nQRWorkers >= workerMakerCore.staticWorkers:
tmpLog.debug('No left static workers, skip')
continue
else:
nWorkers = min(workerMakerCore.staticWorkers - nQRWorkers, nWorkers)
tmpLog.debug('staticWorkers: %s, nWorkers: %s' %
(workerMakerCore.staticWorkers, nWorkers))
else:
tmpLog.debug('skip since no resources are ready')
continue
else:
nWorkers = min(nWorkers, numReadyResources)
# post action of worker maker
if hasattr(workerMakerCore, 'skipOnFail') and workerMakerCore.skipOnFail is True:
skipOnFail = True
else:
skipOnFail = False
# actions based on mapping type
if queueConfig.mapType == WorkSpec.MT_NoJob:
# workers without jobs
jobChunks = []
for i in range(nWorkers):
jobChunks.append([])
elif queueConfig.mapType == WorkSpec.MT_OneToOne:
# one worker per one job
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName,
nWorkers, nReady, 1, None,
queueConfig.useJobLateBinding,
harvester_config.submitter.checkInterval,
harvester_config.submitter.lockInterval,
lockedBy)
elif queueConfig.mapType == WorkSpec.MT_MultiJobs:
# one worker for multiple jobs
nJobsPerWorker = self.workerMaker.get_num_jobs_per_worker(queueConfig,
nWorkers,
resource_type,
maker=workerMakerCore)
tmpLog.debug('nJobsPerWorker={0}'.format(nJobsPerWorker))
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName,
nWorkers, nReady, nJobsPerWorker, None,
queueConfig.useJobLateBinding,
harvester_config.submitter.checkInterval,
harvester_config.submitter.lockInterval,
lockedBy,
queueConfig.allowJobMixture)
elif queueConfig.mapType == WorkSpec.MT_MultiWorkers:
# multiple workers for one job
nWorkersPerJob = self.workerMaker.get_num_workers_per_job(queueConfig,
nWorkers,
resource_type,
maker=workerMakerCore)
maxWorkersPerJob = self.workerMaker.get_max_workers_per_job_in_total(
queueConfig, resource_type, maker=workerMakerCore)
maxWorkersPerJobPerCycle = self.workerMaker.get_max_workers_per_job_per_cycle(
queueConfig, resource_type, maker=workerMakerCore)
tmpLog.debug('nWorkersPerJob={0}'.format(nWorkersPerJob))
jobChunks = self.dbProxy.get_job_chunks_for_workers(
queueName,
nWorkers, nReady, None, nWorkersPerJob,
queueConfig.useJobLateBinding,
harvester_config.submitter.checkInterval,
harvester_config.submitter.lockInterval,
lockedBy, max_workers_per_job_in_total=maxWorkersPerJob,
max_workers_per_job_per_cycle=maxWorkersPerJobPerCycle)
else:
tmpLog.error('unknown mapType={0}'.format(queueConfig.mapType))
continue
tmpLog.debug('got {0} job chunks'.format(len(jobChunks)))
if len(jobChunks) == 0:
continue
# make workers
okChunks, ngChunks = self.workerMaker.make_workers(jobChunks, queueConfig,
nReady, resource_type,
maker=workerMakerCore)
if len(ngChunks) == 0:
tmpLog.debug('successfully made {0} workers'.format(len(okChunks)))
else:
tmpLog.debug('made {0} workers, while {1} workers failed'.format(len(okChunks),
len(ngChunks)))
timeNow = datetime.datetime.utcnow()
timeNow_timestamp = time.time()
pandaIDs = set()
# NG (=not good)
for ngJobs in ngChunks:
for jobSpec in ngJobs:
if skipOnFail:
# release jobs when workers are not made
pandaIDs.add(jobSpec.PandaID)
else:
jobSpec.status = 'failed'
jobSpec.subStatus = 'failed_to_make'
jobSpec.stateChangeTime = timeNow
jobSpec.lockedBy = None
errStr = 'failed to make a worker'
jobSpec.set_pilot_error(PilotErrors.ERR_SETUPFAILURE, errStr)
jobSpec.trigger_propagation()
self.dbProxy.update_job(jobSpec, {'lockedBy': lockedBy,
'subStatus': 'prepared'})
# OK
workSpecList = []
if len(okChunks) > 0:
for workSpec, okJobs in okChunks:
# has job
if (queueConfig.useJobLateBinding and workSpec.workerID is None) \
or queueConfig.mapType == WorkSpec.MT_NoJob:
workSpec.hasJob = 0
else:
workSpec.hasJob = 1
if workSpec.nJobsToReFill in [None, 0]:
workSpec.set_jobspec_list(okJobs)
else:
# refill free slots during the worker is running
workSpec.set_jobspec_list(okJobs[:workSpec.nJobsToReFill])
workSpec.nJobsToReFill = None
for jobSpec in okJobs[workSpec.nJobsToReFill:]:
pandaIDs.add(jobSpec.PandaID)
workSpec.set_num_jobs_with_list()
# map type
workSpec.mapType = queueConfig.mapType
# queue name
workSpec.computingSite = queueConfig.queueName
# set access point
workSpec.accessPoint = queueConfig.messenger['accessPoint']
# sync level
workSpec.syncLevel = queueConfig.get_synchronization_level()
# events
if len(okJobs) > 0 and \
('eventService' in okJobs[0].jobParams or
'cloneJob' in okJobs[0].jobParams):
workSpec.eventsRequest = WorkSpec.EV_useEvents
workSpecList.append(workSpec)
if len(workSpecList) > 0:
sw = core_utils.get_stopwatch()
# get plugin for submitter
submitterCore = self.pluginFactory.get_plugin(queueConfig.submitter)
if submitterCore is None:
# not found
tmpLog.error(
'submitter plugin for {0} not found'.format(jobSpec.computingSite))
continue
# get plugin for messenger
messenger = self.pluginFactory.get_plugin(queueConfig.messenger)
if messenger is None:
# not found
tmpLog.error(
'messenger plugin for {0} not found'.format(jobSpec.computingSite))
continue
# setup access points
messenger.setup_access_points(workSpecList)
# feed jobs
for workSpec in workSpecList:
if workSpec.hasJob == 1:
tmpStat = messenger.feed_jobs(workSpec, workSpec.get_jobspec_list())
if tmpStat is False:
tmpLog.error(
'failed to send jobs to workerID={0}'.format(workSpec.workerID))
else:
tmpLog.debug(
'sent jobs to workerID={0} with {1}'.format(workSpec.workerID,
tmpStat))
# insert workers
self.dbProxy.insert_workers(workSpecList, lockedBy)
# submit
sw.reset()
tmpLog.info('submitting {0} workers'.format(len(workSpecList)))
workSpecList, tmpRetList, tmpStrList = self.submit_workers(submitterCore,
workSpecList)
tmpLog.debug('done submitting {0} workers'.format(len(workSpecList))
+ sw.get_elapsed_time())
# collect successful jobs
okPandaIDs = set()
for iWorker, (tmpRet, tmpStr) in enumerate(zip(tmpRetList, tmpStrList)):
if tmpRet:
workSpec, jobList = okChunks[iWorker]
jobList = workSpec.get_jobspec_list()
if jobList is not None:
for jobSpec in jobList:
okPandaIDs.add(jobSpec.PandaID)
# loop over all workers
for iWorker, (tmpRet, tmpStr) in enumerate(zip(tmpRetList, tmpStrList)):
workSpec, jobList = okChunks[iWorker]
# set harvesterHost
workSpec.harvesterHost = socket.gethostname()
# use associated job list since it can be truncated for re-filling
jobList = workSpec.get_jobspec_list()
# set status
if not tmpRet:
# failed submission
errStr = 'failed to submit a workerID={0} with {1}'.format(
workSpec.workerID,
tmpStr)
tmpLog.error(errStr)
workSpec.set_status(WorkSpec.ST_missed)
workSpec.set_dialog_message(tmpStr)
workSpec.set_pilot_error(PilotErrors.ERR_SETUPFAILURE, errStr)
if jobList is not None:
# increment attempt number
newJobList = []
for jobSpec in jobList:
# skip if successful with another worker
if jobSpec.PandaID in okPandaIDs:
continue
if jobSpec.submissionAttempts is None:
jobSpec.submissionAttempts = 0
jobSpec.submissionAttempts += 1
# max attempt or permanent error
if tmpRet is False or \
jobSpec.submissionAttempts >= \
queueConfig.maxSubmissionAttempts:
newJobList.append(jobSpec)
else:
self.dbProxy.increment_submission_attempt(
jobSpec.PandaID,
jobSpec.submissionAttempts)
jobList = newJobList
elif queueConfig.useJobLateBinding and workSpec.hasJob == 1:
# directly go to running after feeding jobs for late biding
workSpec.set_status(WorkSpec.ST_running)
else:
# normal successful submission
workSpec.set_status(WorkSpec.ST_submitted)
workSpec.submitTime = timeNow
workSpec.modificationTime = timeNow
workSpec.checkTime = timeNow
if self.monitor_fifo.enabled:
workSpec.set_work_params({'lastCheckAt': timeNow_timestamp})
# prefetch events
if tmpRet and workSpec.hasJob == 1 and \
workSpec.eventsRequest == WorkSpec.EV_useEvents and \
queueConfig.prefetchEvents:
workSpec.eventsRequest = WorkSpec.EV_requestEvents
eventsRequestParams = dict()
for jobSpec in jobList:
eventsRequestParams[jobSpec.PandaID] = \
{'pandaID': jobSpec.PandaID,
'taskID': jobSpec.taskID,
'jobsetID': jobSpec.jobParams['jobsetID'],
'nRanges': max(int(math.ceil(workSpec.nCore / len(jobList))),
jobSpec.jobParams['coreCount']),
}
workSpec.eventsRequestParams = eventsRequestParams
# register worker
tmpStat = self.dbProxy.register_worker(workSpec, jobList, lockedBy)
if jobList is not None:
for jobSpec in jobList:
pandaIDs.add(jobSpec.PandaID)
if tmpStat:
if tmpRet:
tmpStr = \
'submitted a workerID={0} for PandaID={1} with batchID={2}'
tmpLog.info(tmpStr.format(workSpec.workerID,
jobSpec.PandaID,
workSpec.batchID))
else:
tmpStr = 'failed to submit a workerID={0} for PandaID={1}'
tmpLog.error(tmpStr.format(workSpec.workerID,
jobSpec.PandaID))
else:
tmpStr = \
'failed to register a worker for PandaID={0} with batchID={1}'
tmpLog.error(tmpStr.format(jobSpec.PandaID, workSpec.batchID))
# enqueue to monitor fifo
if self.monitor_fifo.enabled \
and queueConfig.mapType != WorkSpec.MT_MultiWorkers:
workSpecsToEnqueue = \
[[w] for w in workSpecList if w.status
in (WorkSpec.ST_submitted, WorkSpec.ST_running)]
check_delay = min(
getattr(harvester_config.monitor, 'eventBasedCheckInterval',
harvester_config.monitor.checkInterval),
getattr(harvester_config.monitor, 'fifoCheckInterval',
harvester_config.monitor.checkInterval))
monitor_fifo.put((queueName, workSpecsToEnqueue), time.time() + check_delay)
mainLog.debug('put workers to monitor FIFO')
submitted = True
# release jobs
self.dbProxy.release_jobs(pandaIDs, lockedBy)
tmpLog.info('done')
except Exception:
core_utils.dump_error_message(tmpLog)
# release the site
self.dbProxy.release_site(siteName, lockedBy)
if sw_main.get_elapsed_time_in_sec() > queueLockInterval:
mainLog.warning('a submitter cycle was longer than queueLockInterval {0} sec'.format(queueLockInterval)
+ sw_main.get_elapsed_time())
mainLog.debug('done')
# define sleep interval
if siteName is None:
sleepTime = harvester_config.submitter.sleepTime
else:
sleepTime = 0
if submitted and hasattr(harvester_config.submitter, 'minSubmissionInterval'):
interval = harvester_config.submitter.minSubmissionInterval
if interval > 0:
newTime = datetime.datetime.utcnow() + datetime.timedelta(seconds=interval)
self.dbProxy.update_panda_queue_attribute('submitTime', newTime, site_name=siteName)
# time the cycle
mainLog.debug('done a submitter cycle' + sw_main.get_elapsed_time())
# check if being terminated
if self.terminated(sleepTime):
mainLog.debug('terminated')
return
# wrapper for submitWorkers to skip ready workers
def submit_workers(self, submitter_core, workspec_list):
retList = []
strList = []
newSpecList = []
workersToSubmit = []
for workSpec in workspec_list:
if workSpec.status in [WorkSpec.ST_ready, WorkSpec.ST_running]:
newSpecList.append(workSpec)
retList.append(True)
strList.append('')
else:
workersToSubmit.append(workSpec)
tmpRetList = submitter_core.submit_workers(workersToSubmit)
# submit the workers to the monitoring
self.apfmon.create_workers(workersToSubmit)
for tmpRet, tmpStr in tmpRetList:
retList.append(tmpRet)
strList.append(tmpStr)
newSpecList += workersToSubmit
return newSpecList, retList, strList