def spawn(sleep_time, advertize_rate, work_dir, frontendDescript,
groups, max_parallel_workers, restart_interval, restart_attempts):
num_groups = len(groups)
# TODO: Get the ha_check_interval from the config
ha = glideinFrontendLib.getHASettings(frontendDescript.data)
ha_check_interval = glideinFrontendLib.getHACheckInterval(frontendDescript.data)
mode = glideinFrontendLib.getHAMode(frontendDescript.data)
master_frontend_name = ''
if mode == 'slave':
master_frontend_name = ha.get('ha_frontends')[0].get('frontend_name')
active = (mode == 'master')
hibernate = shouldHibernate(frontendDescript, work_dir, ha, mode, groups)
logSupport.log.info('Frontend started with mode = %s' % mode)
try:
# Service will exit on signal only.
# This infinite loop is for the slave to go back into hibernation
# once the master becomes alive.
# Master never loops infinitely here, but instead it does in
# the inner loop while(mode=='master') ...
while True:
while hibernate:
# If I am slave enter hibernation cycle while Master is alive
logSupport.log.info('Master Frontend %s is online. Hibernating.' % master_frontend_name)
time.sleep(ha_check_interval)
hibernate = shouldHibernate(frontendDescript, work_dir,
ha, mode, groups)
# We broke out of hibernation cycle
# Either Master has disappeared or I am the Master
if mode == 'slave':
logSupport.log.info("Master frontend %s is offline. Activating slave frontend." % master_frontend_name)
active = True
failure_dict = {}
for group in groups:
failure_dict[group] = FailureCounter(group, restart_interval)
while ((mode == 'master') or ((mode == 'slave') and active)):
servicePerformance.startPerfMetricEvent('frontend', 'iteration')
start_time = time.time()
timings = spawn_iteration(work_dir, frontendDescript, groups,
max_parallel_workers, failure_dict,
restart_attempts, "run")
servicePerformance.endPerfMetricEvent('frontend', 'iteration')
end_time = time.time()
elapsed_time = servicePerformance.getPerfMetricEventLifetime('frontend', 'iteration')
if elapsed_time < sleep_time:
real_sleep_time = sleep_time - elapsed_time
logSupport.log.info("Sleep %.1f sec" % real_sleep_time)
time.sleep(real_sleep_time)
else:
logSupport.log.info("No sleeping this loop, took %.1f sec > %.1f sec" % (elapsed_time, sleep_time))
# order the groups by walltime
# longest walltime first
timings.sort(lambda x, y:-cmp(x[1], y[1]))
# recreate the groups list, with new ordering
groups = [el[0] for el in timings]
assert num_groups == len(groups), "Something went wrong, number of groups changed"
if mode == 'slave':
# If we are slave, check if master is back and if so
# deadvertise my classads and hibernate
hibernate = shouldHibernate(frontendDescript, work_dir,
ha, mode, groups)
if hibernate:
active = False
logSupport.log.info("Master frontend %s is back online" % master_frontend_name)
logSupport.log.info("Deadvertize my ads and enter hibernation cycle")
spawn_cleanup(work_dir, frontendDescript, groups,
frontendDescript.data['FrontendName'],
mode)
else:
logSupport.log.info("Master frontend %s is still offline" % master_frontend_name)
finally:
# We have been asked to terminate
logSupport.log.info("Deadvertize my ads")
spawn_cleanup(work_dir, frontendDescript, groups,
frontendDescript.data['FrontendName'], mode)
def spawn_iteration(work_dir, frontendDescript, groups, max_active,
failure_dict, max_failures, action):
childs = {}
for group_name in groups:
childs[group_name] = {'state': 'queued'}
active_groups = 0
groups_tofinish = len(groups)
max_num_failures = 0
logSupport.log.info("Starting iteration")
try:
while groups_tofinish > 0:
done_something = False
# check if any group finished by now
for group_name in groups:
if childs[group_name]['state'] == 'spawned':
group_rc = poll_group_process(group_name,
childs[group_name]['data'])
if not (group_rc is None): # None means "still alive"
if group_rc == 0:
childs[group_name]['state'] = 'finished'
else:
childs[group_name]['state'] = 'failed'
failure_dict[group_name].add_failure()
num_failures = failure_dict[group_name].count_failures()
max_num_failures = max(max_num_failures,
num_failures)
logSupport.log.warning("Group %s terminated with exit code %i (%i recent failure)" % (group_name, group_rc, num_failures))
childs[group_name]['end_time'] = time.time()
servicePerformance.endPerfMetricEvent(
'frontend', 'group_%s_iteration'%group_name)
active_groups -= 1
groups_tofinish -= 1
done_something = True
# see if I can spawn more
for group_name in groups:
if active_groups < max_active: # can spawn more
if childs[group_name]['state'] == 'queued':
childs[group_name]['data'] = spawn_group(work_dir, group_name, action)
childs[group_name]['state'] = 'spawned'
childs[group_name]['start_time'] = time.time()
servicePerformance.startPerfMetricEvent(
'frontend', 'group_%s_iteration'%group_name)
active_groups += 1
done_something = True
else:
break
if done_something:
logSupport.log.info("Active groups = %i, Groups to finish = %i" % (active_groups, groups_tofinish))
if groups_tofinish > 0:
time.sleep(0.01)
logSupport.log.info("All groups finished")
logSupport.log.info("Aggregate monitoring data")
# KEL - can we just call the monitor aggregator method directly? see above
servicePerformance.startPerfMetricEvent('frontend', 'aggregate_stats')
stats = aggregate_stats()
servicePerformance.endPerfMetricEvent('frontend', 'aggregate_stats')
#logSupport.log.debug(stats)
# Create the glidefrontendmonitor classad
fm_advertiser = glideinFrontendInterface.FrontendMonitorClassadAdvertiser(multi_support=glideinFrontendInterface.frontendConfig.advertise_use_multi)
fm_classad = glideinFrontendInterface.FrontendMonitorClassad(
frontendDescript.data['FrontendName'])
fm_classad.setFrontendDetails(
frontendDescript.data['FrontendName'], ','.join(groups),
glideinFrontendLib.getHAMode(frontendDescript.data))
try:
idle_jobs = {
'Total': stats['total']['Jobs']['Idle'],
'600': stats['total']['Jobs']['OldIdle'],
'3600': stats['total']['Jobs']['Idle_3600'],
}
except KeyError as err:
idle_jobs = {'Total': 0, '600': 0, '3600': 0}
logSupport.log.error("Error in RRD Database. Setting idle_jobs[%s] Failed. Reconfig the frontend with -fix_rrd to fix this error" % (err.message,))
fm_classad.setIdleJobCount(idle_jobs)
fm_classad.setPerfMetrics(servicePerformance.getPerfMetric('frontend'))
# Gather performance stats from history file of each group
for group_name in groups:
gname = 'group_%s' % group_name
try:
history_obj = glideinFrontendConfig.HistoryFile(
work_dir, group_name, True, dict)
pfm = servicePerformance.getPerfMetric(gname)
pfm.metric = history_obj['perf_metrics'].metric
fm_classad.setPerfMetrics(
servicePerformance.getPerfMetric(gname))
except:
pass # Do not fail for non-critical actions
fm_advertiser.addClassad(fm_classad.adParams['Name'], fm_classad)
# Advertise glidefrontendmonitor classad to user pool
logSupport.log.info("Advertising %i %s classad(s) to the user pool" % (len(fm_advertiser.classads), fm_advertiser.adType))
try:
set_frontend_htcondor_env(work_dir, frontendDescript)
fm_advertiser.advertiseAllClassads()
logSupport.log.info("Done advertising %s classad(s) to the user pool" % fm_advertiser.adType)
except condorExe.ExeError:
logSupport.log.error("Exception occurred trying to advertise %s classad(s) to the user pool" % fm_advertiser.adType)
except:
# Rethrow any other exception including stop signal
raise
finally:
# Cleanup the env
clean_htcondor_env()
logSupport.log.info("Cleaning logs")
cleanupSupport.cleaners.cleanup()
if max_num_failures > max_failures:
logSupport.log.info("Too many group failures, aborting")
logSupport.log.debug("Failed %i times (limit %i), aborting"%(max_num_failures, max_failures))
raise RuntimeError("Too many group failures, aborting")
finally:
# cleanup at exit
# if anything goes wrong, hardkill the rest
for group_name in childs:
if childs[group_name]['state']=='spawned':
logSupport.log.info("Hard killing group %s" % group_name)
servicePerformance.endPerfMetricEvent(
'frontend', 'group_%s_iteration'%group_name)
try:
os.kill(childs[group_name]['data'].pid, signal.SIGKILL)
except OSError:
pass # ignore failed kills of non-existent processes
# at this point, all groups should have been run
timings = []
for group_name in groups:
timings.append((group_name, childs[group_name]['end_time']-childs[group_name]['start_time']))
return timings
def spawn_iteration(work_dir, frontendDescript, groups, max_active,
failure_dict, max_failures, action):
childs = {}
for group_name in groups:
childs[group_name] = {'state': 'queued'}
active_groups = 0
groups_tofinish = len(groups)
max_num_failures = 0
logSupport.log.info("Starting iteration")
try:
while groups_tofinish > 0:
done_something = False
# check if any group finished by now
for group_name in groups:
if childs[group_name]['state'] == 'spawned':
group_rc = poll_group_process(group_name,
childs[group_name]['data'])
if not (group_rc is None): # None means "still alive"
if group_rc == 0:
childs[group_name]['state'] = 'finished'
else:
childs[group_name]['state'] = 'failed'
failure_dict[group_name].add_failure()
num_failures = failure_dict[group_name].count_failures()
max_num_failures = max(max_num_failures,
num_failures)
logSupport.log.warning("Group %s terminated with exit code %i (%i recent failure)" % (group_name, group_rc, num_failures))
childs[group_name]['end_time'] = time.time()
servicePerformance.endPerfMetricEvent(
'frontend', 'group_%s_iteration'%group_name)
active_groups -= 1
groups_tofinish -= 1
done_something = True
# see if I can spawn more
for group_name in groups:
if active_groups < max_active: # can spawn more
if childs[group_name]['state'] == 'queued':
childs[group_name]['data'] = spawn_group(work_dir, group_name, action)
childs[group_name]['state'] = 'spawned'
childs[group_name]['start_time'] = time.time()
servicePerformance.startPerfMetricEvent(
'frontend', 'group_%s_iteration'%group_name)
active_groups += 1
done_something = True
else:
break
if done_something:
logSupport.log.info("Active groups = %i, Groups to finish = %i" % (active_groups, groups_tofinish))
if groups_tofinish > 0:
time.sleep(0.01)
logSupport.log.info("All groups finished")
logSupport.log.info("Aggregate monitoring data")
# KEL - can we just call the monitor aggregator method directly? see above
servicePerformance.startPerfMetricEvent('frontend', 'aggregate_stats')
stats = aggregate_stats()
servicePerformance.endPerfMetricEvent('frontend', 'aggregate_stats')
#logSupport.log.debug(stats)
# Create the glidefrontendmonitor classad
fm_advertiser = glideinFrontendInterface.FrontendMonitorClassadAdvertiser(multi_support=glideinFrontendInterface.frontendConfig.advertise_use_multi)
fm_classad = glideinFrontendInterface.FrontendMonitorClassad(
frontendDescript.data['FrontendName'])
fm_classad.setFrontendDetails(
frontendDescript.data['FrontendName'], ','.join(groups),
glideinFrontendLib.getHAMode(frontendDescript.data))
try:
idle_jobs = {
'Total': stats['total']['Jobs']['Idle'],
'600': stats['total']['Jobs']['OldIdle'],
'3600': stats['total']['Jobs']['Idle_3600'],
}
except KeyError as err:
idle_jobs = {'Total': 0, '600': 0, '3600': 0}
logSupport.log.error("Error in RRD Database. Setting idle_jobs[%s] Failed. Reconfig the frontend with -fix_rrd to fix this error" % (err.message,))
fm_classad.setIdleJobCount(idle_jobs)
fm_classad.setPerfMetrics(servicePerformance.getPerfMetric('frontend'))
# Gather performance stats from history file of each group
for group_name in groups:
gname = 'group_%s' % group_name
try:
history_obj = glideinFrontendConfig.HistoryFile(
work_dir, group_name, True, dict)
pfm = servicePerformance.getPerfMetric(gname)
pfm.metric = history_obj['perf_metrics'].metric
fm_classad.setPerfMetrics(
servicePerformance.getPerfMetric(gname))
except:
pass # Do not fail for non-critical actions
fm_advertiser.addClassad(fm_classad.adParams['Name'], fm_classad)
# Advertise glidefrontendmonitor classad to user pool
logSupport.log.info("Advertising %i %s classad(s) to the user pool" % (len(fm_advertiser.classads), fm_advertiser.adType))
try:
set_frontend_htcondor_env(work_dir, frontendDescript)
fm_advertiser.advertiseAllClassads()
logSupport.log.info("Done advertising %s classad(s) to the user pool" % fm_advertiser.adType)
except condorExe.ExeError:
logSupport.log.error("Exception occurred trying to advertise %s classad(s) to the user pool" % fm_advertiser.adType)
except:
# Rethrow any other exception including stop signal
raise
finally:
# Cleanup the env
clean_htcondor_env()
logSupport.log.info("Cleaning logs")
cleanupSupport.cleaners.cleanup()
if max_num_failures > max_failures:
logSupport.log.info("Too many group failures, aborting")
logSupport.log.debug("Failed %i times (limit %i), aborting"%(max_num_failures, max_failures))
raise RuntimeError("Too many group failures, aborting")
finally:
# cleanup at exit
# if anything goes wrong, hardkill the rest
for group_name in childs:
if childs[group_name]['state']=='spawned':
logSupport.log.info("Hard killing group %s" % group_name)
servicePerformance.endPerfMetricEvent(
'frontend', 'group_%s_iteration'%group_name)
try:
os.kill(childs[group_name]['data'].pid, signal.SIGKILL)
except OSError:
pass # ignore failed kills of non-existent processes
# at this point, all groups should have been run
timings = []
for group_name in groups:
timings.append((group_name, childs[group_name]['end_time']-childs[group_name]['start_time']))
return timings
def spawn(sleep_time, advertize_rate, work_dir, frontendDescript,
groups, max_parallel_workers, restart_interval, restart_attempts):
num_groups = len(groups)
# TODO: Get the ha_check_interval from the config
ha = glideinFrontendLib.getHASettings(frontendDescript.data)
ha_check_interval = glideinFrontendLib.getHACheckInterval(frontendDescript.data)
mode = glideinFrontendLib.getHAMode(frontendDescript.data)
master_frontend_name = ''
if mode == 'slave':
master_frontend_name = ha.get('ha_frontends')[0].get('frontend_name')
active = (mode == 'master')
hibernate = shouldHibernate(frontendDescript, work_dir, ha, mode, groups)
logSupport.log.info('Frontend started with mode = %s' % mode)
try:
# Service will exit on signal only.
# This infinite loop is for the slave to go back into hibernation
# once the master becomes alive.
# Master never loops infinitely here, but instead it does in
# the inner loop while(mode=='master') ...
while True:
while hibernate:
# If I am slave enter hibernation cycle while Master is alive
logSupport.log.info('Master Frontend %s is online. Hibernating.' % master_frontend_name)
time.sleep(ha_check_interval)
hibernate = shouldHibernate(frontendDescript, work_dir,
ha, mode, groups)
# We broke out of hibernation cycle
# Either Master has disappeared or I am the Master
if mode == 'slave':
logSupport.log.info("Master frontend %s is offline. Activating slave frontend." % master_frontend_name)
active = True
failure_dict = {}
for group in groups:
failure_dict[group] = FailureCounter(group, restart_interval)
while ((mode == 'master') or ((mode == 'slave') and active)):
servicePerformance.startPerfMetricEvent('frontend', 'iteration')
start_time = time.time()
timings = spawn_iteration(work_dir, frontendDescript, groups,
max_parallel_workers, failure_dict,
restart_attempts, "run")
servicePerformance.endPerfMetricEvent('frontend', 'iteration')
end_time = time.time()
elapsed_time = servicePerformance.getPerfMetricEventLifetime('frontend', 'iteration')
if elapsed_time < sleep_time:
real_sleep_time = sleep_time - elapsed_time
logSupport.log.info("Sleep %.1f sec" % real_sleep_time)
time.sleep(real_sleep_time)
else:
logSupport.log.info("No sleeping this loop, took %.1f sec > %.1f sec" % (elapsed_time, sleep_time))
# order the groups by walltime
# longest walltime first
timings.sort(lambda x, y:-cmp(x[1], y[1]))
# recreate the groups list, with new ordering
groups = [el[0] for el in timings]
assert num_groups == len(groups), "Something went wrong, number of groups changed"
if mode == 'slave':
# If we are slave, check if master is back and if so
# deadvertise my classads and hibernate
hibernate = shouldHibernate(frontendDescript, work_dir,
ha, mode, groups)
if hibernate:
active = False
logSupport.log.info("Master frontend %s is back online" % master_frontend_name)
logSupport.log.info("Deadvertize my ads and enter hibernation cycle")
spawn_cleanup(work_dir, frontendDescript, groups,
frontendDescript.data['FrontendName'],
mode)
else:
logSupport.log.info("Master frontend %s is still offline" % master_frontend_name)
finally:
# We have been asked to terminate
logSupport.log.info("Deadvertize my ads")
spawn_cleanup(work_dir, frontendDescript, groups,
frontendDescript.data['FrontendName'], mode)
def spawn_iteration(work_dir, frontendDescript, groups, max_active, failure_dict, max_failures, action):
childs = {}
for group_name in groups:
childs[group_name] = {"state": "queued"}
active_groups = 0
groups_tofinish = len(groups)
max_num_failures = 0
logSupport.log.info("Starting iteration")
try:
while groups_tofinish > 0:
done_something = False
# check if any group finished by now
for group_name in groups:
if childs[group_name]["state"] == "spawned":
group_rc = poll_group_process(group_name, childs[group_name]["data"])
if not (group_rc is None): # None means "still alive"
if group_rc == 0:
childs[group_name]["state"] = "finished"
else:
childs[group_name]["state"] = "failed"
failure_dict[group_name].add_failure()
num_failures = failure_dict[group_name].count_failures()
max_num_failures = max(max_num_failures, num_failures)
logSupport.log.warning(
"Group %s terminated with exit code %i (%i recent failure)"
% (group_name, group_rc, num_failures)
)
childs[group_name]["end_time"] = time.time()
active_groups -= 1
groups_tofinish -= 1
done_something = True
# see if I can spawn more
for group_name in groups:
if active_groups < max_active: # can spawn more
if childs[group_name]["state"] == "queued":
childs[group_name]["data"] = spawn_group(work_dir, group_name, action)
childs[group_name]["state"] = "spawned"
childs[group_name]["start_time"] = time.time()
active_groups += 1
done_something = True
else:
break
if done_something:
logSupport.log.info("Active groups = %i, Groups to finish = %i" % (active_groups, groups_tofinish))
if groups_tofinish > 0:
time.sleep(0.01)
logSupport.log.info("All groups finished")
logSupport.log.info("Aggregate monitoring data")
# KEL - can we just call the monitor aggregator method directly? see above
stats = aggregate_stats()
# logSupport.log.debug(stats)
# Create the glidefrontendmonitor classad
fm_advertiser = glideinFrontendInterface.FrontendMonitorClassadAdvertiser(
multi_support=glideinFrontendInterface.frontendConfig.advertise_use_multi
)
fm_classad = glideinFrontendInterface.FrontendMonitorClassad(frontendDescript.data["FrontendName"])
fm_classad.setFrontendDetails(
frontendDescript.data["FrontendName"], ",".join(groups), glideinFrontendLib.getHAMode(frontendDescript.data)
)
idle_jobs = {"Total": stats["total"]["Jobs"]["Idle"]}
fm_classad.setIdleJobCount(idle_jobs)
fm_advertiser.addClassad(fm_classad.adParams["Name"], fm_classad)
# Advertise glidefrontendmonitor classad to user pool
logSupport.log.info(
"Advertising %i glidefrontendmonitor classad to the user pool" % len(fm_advertiser.classads)
)
try:
set_frontend_htcondor_env(work_dir, frontendDescript)
fm_advertiser.advertiseAllClassads()
finally:
# Cleanup the env
clean_htcondor_env()
logSupport.log.info("Done advertising")
logSupport.log.info("Cleaning logs")
cleanupSupport.cleaners.cleanup()
if max_num_failures > max_failures:
logSupport.log.info("Too many group failures, aborting")
logSupport.log.debug("Failed %i times (limit %i), aborting" % (max_num_failures, max_failures))
raise RuntimeError, "Too many group failures, aborting"
finally:
# cleanup at exit
# if anything goes wrong, hardkill the rest
for group_name in childs.keys():
if childs[group_name]["state"] == "spawned":
logSupport.log.info("Hard killing group %s" % group_name)
try:
os.kill(childs[group_name]["data"].pid, signal.SIGKILL)
except OSError:
pass # ignore failed kills of non-existent processes
# at this point, all groups should have been run
timings = []
for group_name in groups:
timings.append((group_name, childs[group_name]["end_time"] - childs[group_name]["start_time"]))
return timings