def kill_stalled_processes(dryrun=True):
"""
Due to a bug in the Django|Postgres backend, occassionally
the `manage.py cron` process will hang even through all processes
have been marked completed.
We compare all recorded PIDs against those still running,
and kill any associated with complete jobs.
"""
pids = set(map(int, Job.objects\
.filter(is_running=False, current_pid__isnull=False)\
.exclude(current_pid='')\
.values_list('current_pid', flat=True)))
for pid in pids:
try:
if utils.pid_exists(pid): # and not utils.get_cpu_usage(pid):
p = psutil.Process(pid)
cmd = ' '.join(p.cmdline())
if 'manage.py cron' in cmd:
jobs = Job.objects.filter(current_pid=pid)
job = None
if jobs:
job = jobs[0]
utils.smart_print('Killing process %s associated with %s.' % (pid, job))
if not dryrun:
utils.kill_process(pid)
else:
print('PID not cron.')
else:
print('PID dead.')
except psutil.NoSuchProcess:
print('PID does not exist.')
def kill_stalled_processes(dryrun=True):
"""
Due to a bug in the Django|Postgres backend, occassionally
the `manage.py cron` process will hang even through all processes
have been marked completed.
We compare all recorded PIDs against those still running,
and kill any associated with complete jobs.
"""
pids = set(map(int, Job.objects\
.filter(is_running=False, current_pid__isnull=False)\
.exclude(current_pid='')\
.values_list('current_pid', flat=True)))
for pid in pids:
try:
if utils.pid_exists(pid):# and not utils.get_cpu_usage(pid):
p = psutil.Process(pid)
cmd = ' '.join(p.cmdline())
if 'manage.py cron' in cmd:
jobs = Job.objects.filter(current_pid=pid)
job = None
if jobs:
job = jobs[0]
utils.smart_print('Killing process %s associated with %s.' % (pid, job))
if not dryrun:
utils.kill_process(pid)
else:
print('PID not cron.')
else:
print('PID dead.')
except psutil.NoSuchProcess:
print('PID does not exist.')
def run_cron(jobs=None, **kwargs):
update_heartbeat = kwargs.pop('update_heartbeat', True)
force_run = kwargs.pop('force_run', False)
dryrun = kwargs.pop('dryrun', False)
clear_pid = kwargs.pop('clear_pid', False)
sync = kwargs.pop('sync', False)
try:
# TODO: auto-kill inactive long-running cron processes whose
# threads have stalled and not exited properly?
# Check for 0 cpu usage.
#ps -p <pid> -o %cpu
stdout_map = defaultdict(list) # {prod_id:[]}
stderr_map = defaultdict(list) # {prod_id:[]}
stdout_queue = Queue()
stderr_queue = Queue()
if _settings.CHRONIKER_AUTO_END_STALE_JOBS and not dryrun:
Job.objects.end_all_stale()
# Check PID file to prevent conflicts with prior executions.
# TODO: is this still necessary? deprecate? As long as jobs run by
# JobProcess don't wait for other jobs, multiple instances of cron
# should be able to run simeltaneously without issue.
if _settings.CHRONIKER_USE_PID:
pid_fn = _settings.CHRONIKER_PID_FN
pid = str(os.getpid())
any_running = Job.objects.all_running().count()
if not any_running:
# If no jobs are running, then even if the PID file exists,
# it must be stale, so ignore it.
pass
elif os.path.isfile(pid_fn):
try:
old_pid = int(open(pid_fn, 'r').read())
if utils.pid_exists(old_pid):
print('%s already exists, exiting' % pid_fn)
sys.exit()
else:
print(('%s already exists, but contains stale ' 'PID, continuing') % pid_fn)
except ValueError:
pass
except TypeError:
pass
open(pid_fn, 'w').write(pid)
clear_pid = True
procs = []
if force_run:
q = Job.objects.all()
if jobs:
q = q.filter(id__in=jobs)
else:
q = Job.objects.due_with_met_dependencies_ordered(jobs=jobs)
running_ids = set()
for job in q:
# This is necessary, otherwise we get the exception
# DatabaseError: SSL error: sslv3 alert bad record mac
# even through we're not using SSL...
# We work around this by forcing Django to use separate
# connections for each process by explicitly closing the
# current connection.
connection.close()
# Re-check dependencies to incorporate any previous iterations
# that marked jobs as running, potentially causing dependencies
# to become unmet.
Job.objects.update()
job = Job.objects.get(id=job.id)
if not force_run and not job.is_due_with_dependencies_met(running_ids=running_ids):
utils.smart_print(u'Job {} {} is due but has unmet dependencies.'\
.format(job.id, job))
continue
# Immediately mark the job as running so the next jobs can
# update their dependency check.
utils.smart_print(u'Running job {} {}.'.format(job.id, job))
running_ids.add(job.id)
if dryrun:
continue
job.is_running = True
Job.objects.filter(id=job.id).update(is_running=job.is_running)
# Launch job.
if sync:
# Run job synchronously.
run_job(
job,
update_heartbeat=update_heartbeat,
stdout_queue=stdout_queue,
stderr_queue=stderr_queue,
force_run=force_run or job.force_run,
)
else:
# Run job asynchronously.
job_func = partial(
run_job,
job=job,
force_run=force_run or job.force_run,
update_heartbeat=update_heartbeat,
name=str(job),
)
proc = JobProcess(
job=job,
max_seconds=job.timeout_seconds,
target=job_func,
name=str(job),
kwargs=dict(
stdout_queue=stdout_queue,
stderr_queue=stderr_queue,
)
)
proc.start()
procs.append(proc)
if not dryrun:
print("%d Jobs are due." % len(procs))
# Wait for all job processes to complete.
while procs:
while not stdout_queue.empty():
proc_id, proc_stdout = stdout_queue.get()
stdout_map[proc_id].append(proc_stdout)
while not stderr_queue.empty():
proc_id, proc_stderr = stderr_queue.get()
stderr_map[proc_id].append(proc_stderr)
for proc in list(procs):
if not proc.is_alive():
print('Process %s ended.' % (proc,))
procs.remove(proc)
elif proc.is_expired:
print('Process %s expired.' % (proc,))
proc_id = proc.pid
proc.terminate()
run_end_datetime = timezone.now()
procs.remove(proc)
connection.close()
Job.objects.update()
j = Job.objects.get(id=proc.job.id)
run_start_datetime = j.last_run_start_timestamp
proc.job.is_running = False
proc.job.force_run = False
proc.job.force_stop = False
proc.job.save()
# Create log record since the job was killed before it had
# a chance to do so.
Log.objects.create(
job=proc.job,
run_start_datetime=run_start_datetime,
run_end_datetime=run_end_datetime,
success=False,
on_time=False,
hostname=socket.gethostname(),
stdout=''.join(stdout_map[proc_id]),
stderr=''.join(stderr_map[proc_id] + ['Job exceeded timeout\n']),
)
time.sleep(1)
print('!' * 80)
print('All jobs complete!')
finally:
if _settings.CHRONIKER_USE_PID and os.path.isfile(pid_fn) and clear_pid:
os.unlink(pid_fn)
def run_cron(jobs=None, **kwargs):
update_heartbeat = kwargs.pop('update_heartbeat', True)
force_run = kwargs.pop('force_run', False)
dryrun = kwargs.pop('dryrun', False)
clear_pid = kwargs.pop('clear_pid', False)
sync = kwargs.pop('sync', False)
try:
# TODO: auto-kill inactive long-running cron processes whose
# threads have stalled and not exited properly?
# Check for 0 cpu usage.
#ps -p <pid> -o %cpu
stdout_map = defaultdict(list) # {prod_id:[]}
stderr_map = defaultdict(list) # {prod_id:[]}
stdout_queue = Queue()
stderr_queue = Queue()
if _settings.CHRONIKER_AUTO_END_STALE_JOBS and not dryrun:
Job.objects.end_all_stale()
# Check PID file to prevent conflicts with prior executions.
# TODO: is this still necessary? deprecate? As long as jobs run by
# JobProcess don't wait for other jobs, multiple instances of cron
# should be able to run simeltaneously without issue.
if _settings.CHRONIKER_USE_PID:
pid_fn = _settings.CHRONIKER_PID_FN
pid = str(os.getpid())
any_running = Job.objects.all_running().count()
if not any_running:
# If no jobs are running, then even if the PID file exists,
# it must be stale, so ignore it.
pass
elif os.path.isfile(pid_fn):
try:
old_pid = int(open(pid_fn, 'r').read())
if utils.pid_exists(old_pid):
print('%s already exists, exiting' % pid_fn)
sys.exit()
else:
print(('%s already exists, but contains stale '
'PID, continuing') % pid_fn)
except ValueError:
pass
except TypeError:
pass
open(pid_fn, 'w').write(pid)
clear_pid = True
procs = []
if force_run:
q = Job.objects.all()
if jobs:
q = q.filter(id__in=jobs)
else:
q = Job.objects.due_with_met_dependencies_ordered(jobs=jobs)
running_ids = set()
for job in q:
# This is necessary, otherwise we get the exception
# DatabaseError: SSL error: sslv3 alert bad record mac
# even through we're not using SSL...
# We work around this by forcing Django to use separate
# connections for each process by explicitly closing the
# current connection.
connection.close()
# Re-check dependencies to incorporate any previous iterations
# that marked jobs as running, potentially causing dependencies
# to become unmet.
Job.objects.update()
job = Job.objects.get(id=job.id)
if not force_run and not job.is_due_with_dependencies_met(running_ids=running_ids):
utils.smart_print(u'Job {} {} is due but has unmet dependencies.'\
.format(job.id, job))
continue
# Immediately mark the job as running so the next jobs can
# update their dependency check.
utils.smart_print(u'Running job {} {}.'.format(job.id, job))
running_ids.add(job.id)
if dryrun:
continue
job.is_running = True
Job.objects.filter(id=job.id).update(is_running=job.is_running)
# Launch job.
if sync:
# Run job synchronously.
run_job(
job,
update_heartbeat=update_heartbeat,
stdout_queue=stdout_queue,
stderr_queue=stderr_queue,
force_run=force_run or job.force_run,
)
else:
# Run job asynchronously.
job_func = partial(
run_job,
job=job,
force_run=force_run or job.force_run,
update_heartbeat=update_heartbeat,
name=str(job),
)
proc = JobProcess(
job=job,
max_seconds=job.timeout_seconds,
target=job_func,
name=str(job),
kwargs=dict(
stdout_queue=stdout_queue,
stderr_queue=stderr_queue,
))
proc.start()
procs.append(proc)
if not dryrun:
print("%d Jobs are due." % len(procs))
# Wait for all job processes to complete.
while procs:
while not stdout_queue.empty():
proc_id, proc_stdout = stdout_queue.get()
stdout_map[proc_id].append(proc_stdout)
while not stderr_queue.empty():
proc_id, proc_stderr = stderr_queue.get()
stderr_map[proc_id].append(proc_stderr)
for proc in list(procs):
if not proc.is_alive():
print('Process %s ended.' % (proc,))
procs.remove(proc)
elif proc.is_expired:
print('Process %s expired.' % (proc,))
proc_id = proc.pid
proc.terminate()
run_end_datetime = timezone.now()
procs.remove(proc)
connection.close()
Job.objects.update()
j = Job.objects.get(id=proc.job.id)
run_start_datetime = j.last_run_start_timestamp
proc.job.is_running = False
proc.job.force_run = False
proc.job.force_stop = False
proc.job.save()
# Create log record since the job was killed before it had
# a chance to do so.
Log.objects.create(
job=proc.job,
run_start_datetime=run_start_datetime,
run_end_datetime=run_end_datetime,
success=False,
on_time=False,
hostname=socket.gethostname(),
stdout=''.join(stdout_map[proc_id]),
stderr=''.join(stderr_map[proc_id]+['Job exceeded timeout\n']),
)
time.sleep(1)
print('!'*80)
print('All jobs complete!')
finally:
if _settings.CHRONIKER_USE_PID and os.path.isfile(pid_fn) and clear_pid:
os.unlink(pid_fn)
