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scheduler_command.py
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scheduler_command.py
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""Scheduler command"""
import signal
from multiprocessing import Process
from typing import Optional
import daemon
from daemon.pidfile import TimeoutPIDLockFile
from airflow import settings
from airflow.configuration import conf
from airflow.jobs.scheduler_job import SchedulerJob
from airflow.utils import cli as cli_utils
from airflow.utils.cli import process_subdir, setup_locations, setup_logging, sigint_handler, sigquit_handler
from airflow.utils.scheduler_health import serve_health_check
def _create_scheduler_job(args):
job = SchedulerJob(
subdir=process_subdir(args.subdir),
num_runs=args.num_runs,
do_pickle=args.do_pickle,
)
return job
def _run_scheduler_job(args):
skip_serve_logs = args.skip_serve_logs
job = _create_scheduler_job(args)
logs_sub_proc = _serve_logs(skip_serve_logs)
enable_health_check = conf.getboolean('scheduler', 'ENABLE_HEALTH_CHECK')
health_sub_proc = _serve_health_check(enable_health_check)
try:
job.run()
finally:
if logs_sub_proc:
logs_sub_proc.terminate()
if health_sub_proc:
health_sub_proc.terminate()
@cli_utils.action_cli
def scheduler(args):
"""Starts Airflow Scheduler"""
print(settings.HEADER)
if args.daemon:
pid, stdout, stderr, log_file = setup_locations(
"scheduler", args.pid, args.stdout, args.stderr, args.log_file
)
handle = setup_logging(log_file)
with open(stdout, 'a') as stdout_handle, open(stderr, 'a') as stderr_handle:
stdout_handle.truncate(0)
stderr_handle.truncate(0)
ctx = daemon.DaemonContext(
pidfile=TimeoutPIDLockFile(pid, -1),
files_preserve=[handle],
stdout=stdout_handle,
stderr=stderr_handle,
umask=int(settings.DAEMON_UMASK, 8),
)
with ctx:
_run_scheduler_job(args=args)
else:
signal.signal(signal.SIGINT, sigint_handler)
signal.signal(signal.SIGTERM, sigint_handler)
signal.signal(signal.SIGQUIT, sigquit_handler)
_run_scheduler_job(args=args)
def _serve_logs(skip_serve_logs: bool = False) -> Optional[Process]:
"""Starts serve_logs sub-process"""
from airflow.configuration import conf
from airflow.utils.serve_logs import serve_logs
if conf.get("core", "executor") in ["LocalExecutor", "SequentialExecutor"]:
if skip_serve_logs is False:
sub_proc = Process(target=serve_logs)
sub_proc.start()
return sub_proc
return None
def _serve_health_check(enable_health_check: bool = False) -> Optional[Process]:
"""Starts serve_health_check sub-process"""
if enable_health_check:
sub_proc = Process(target=serve_health_check)
sub_proc.start()
return sub_proc
return None