ashb commented on a change in pull request #10977:
URL: https://github.com/apache/airflow/pull/10977#discussion_r581829588
##########
File path: airflow/config_templates/default_test.cfg
##########
@@ -102,6 +102,18 @@ default_queue = default
sync_parallelism = 0
worker_precheck = False
+[mesos]
+master =
+framework_name =
+task_cpu =
+task_memory =
+checkpoint =
+authenticate =
+docker_image_slave =
+docker_volume_dag_driver =
+docker_volume_dag_name =
+docker_volume_dag_container_path =
+
Review comment:
We don't need to add things to test.cfg unless we need explicit default
values for tests to run. Do we need these values to be empty?
##########
File path: airflow/executors/mesos_executor.py
##########
@@ -0,0 +1,380 @@
+#
+# 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.
+
+import threading
+from queue import Queue
+from typing import Any, Dict, Optional
+
+from avmesos.client import MesosClient
+
+from airflow.configuration import conf
+from airflow.exceptions import AirflowException
+from airflow.executors.base_executor import BaseExecutor, CommandType
+from airflow.models.taskinstance import TaskInstanceKey
+from airflow.utils.session import provide_session
+from airflow.utils.state import State
+
+FRAMEWORK_CONNID_PREFIX = 'mesos_framework_'
+
+
+def get_framework_name():
+ """Get the mesos framework name if its set in airflow.cfg"""
+ return conf.get('mesos', 'FRAMEWORK_NAME')
+
+
+# pylint: disable=too-many-nested-blocks
+# pylint: disable=too-many-instance-attributes
+class AirflowMesosScheduler(MesosClient):
+ """
+ Airflow Mesos scheduler implements mesos scheduler interface
+ to schedule airflow tasks on mesos
+ Basically, it schedules a command like
+ 'airflow run <dag_id> <task_instance_id> <start_date> --local -p=<pickle>'
+ to run on a mesos slave
+ """
+
+ # pylint: disable=super-init-not-called
+ def __init__(self, executor, task_queue, result_queue, task_cpu: int = 1,
task_mem: int = 256):
+ self.task_queue = task_queue
+ self.result_queue = result_queue
+ self.task_cpu = task_cpu
+ self.task_mem = task_mem
+ self.task_counter = 0
+ self.task_key_map: Dict[str, str] = {}
+ self.log = executor.log
+ self.client = executor.client
+ self.executor = executor
+ self.driver = None
+
+ if not conf.get('mesos', 'DOCKER_IMAGE_SLAVE'):
+ self.log.error("Expecting docker image for mesos executor")
+ raise AirflowException("mesos.slave_docker_image not provided for
mesos executor")
+
+ self.mesos_slave_docker_image = conf.get('mesos', 'DOCKER_IMAGE_SLAVE')
+ self.mesos_docker_volume_driver = conf.get('mesos',
'DOCKER_VOLUME_DRIVER')
+ self.mesos_docker_volume_dag_name = conf.get('mesos',
'DOCKER_VOLUME_DAG_NAME')
+ self.mesos_docker_volume_dag_container_path = conf.get('mesos',
'DOCKER_VOLUME_DAG_CONTAINER_PATH')
+ self.mesos_docker_volume_logs_name = conf.get('mesos',
'DOCKER_VOLUME_LOGS_NAME')
+ self.mesos_docker_volume_logs_container_path = conf.get('mesos',
'DOCKER_VOLUME_LOGS_CONTAINER_PATH')
+ self.core_sql_alchemy_conn = conf.get('core', 'SQL_ALCHEMY_CONN')
+ self.core_fernet_key = conf.get('core', 'FERNET_KEY')
+ self.logging_logging_level = conf.get('logging', 'LOGGING_LEVEL')
+ self.command_shell = conf.get('mesos', 'COMMAND_SHELL').lower()
+
+ def resource_offers(self, offers):
+ """If we got a offer, run a queued task"""
+ self.log.debug('MESOS OFFER')
+ for i, offer in enumerate(offers):
+ if i == 0:
+ self.run_job(offer)
+ offer.decline()
+ i += 1
+
+ def run_job(self, mesos_offer):
+ """Start a queued Airflow task in Mesos"""
+ offer = mesos_offer.get_offer()
+ tasks = []
+ option = {}
+ offer_cpus = 0
+ offer_mem = 0
+ for resource in offer['resources']:
+ if resource['name'] == "cpus":
+ offer_cpus += resource['scalar']['value']
+ elif resource['name'] == "mem":
+ offer_mem += resource['scalar']['value']
+
+ self.log.debug(
+ "Received offer %s with cpus: %s and mem: %s",
offer['id']['value'], offer_cpus, offer_mem
+ )
+
+ remaining_cpus = offer_cpus
+ remaining_mem = offer_mem
+
+ while (
+ (not self.task_queue.empty())
+ and remaining_cpus >= self.task_cpu
+ and remaining_mem >= self.task_mem
+ ):
+
+ key, cmd, executor_config = self.task_queue.get()
+ self.log.debug(executor_config)
+ tid = self.task_counter
+ self.task_counter += 1
+ self.task_key_map[str(tid)] = key
+
+ self.log.debug("Launching task %d using offer %s", tid,
offer['id']['value'])
+
+ task = {
+ 'name': "AirflowTask %d" % tid,
+ 'task_id': {'value': str(tid)},
+ 'agent_id': {'value': offer['agent_id']['value']},
+ 'resources': [
+ {'name': 'cpus', 'type': 'SCALAR', 'scalar': {'value':
self.task_cpu}},
+ {'name': 'mem', 'type': 'SCALAR', 'scalar': {'value':
self.task_mem}},
+ ],
+ 'command': {
+ 'shell': self.command_shell,
+ 'environment': {
+ 'variables': [
+ {'name': 'AIRFLOW__CORE__SQL_ALCHEMY_CONN',
'value': self.core_sql_alchemy_conn},
+ {'name': 'AIRFLOW__CORE__FERNET_KEY', 'value':
self.core_fernet_key},
+ {'name': 'AIRFLOW__LOGGING__LOGGING_LEVEL',
'value': self.logging_logging_level},
+ ]
+ },
+ 'value': " ".join(cmd),
+ },
+ 'container': {
+ 'type': 'DOCKER',
+ 'volumes': [
+ {
+ 'container_path':
self.mesos_docker_volume_dag_container_path,
+ 'mode': 'RW',
+ 'source': {
+ 'type': 'DOCKER_VOLUME',
+ 'docker_volume': {
+ 'driver': self.mesos_docker_volume_driver,
+ 'name': self.mesos_docker_volume_dag_name,
+ },
+ },
+ },
+ {
+ 'container_path':
self.mesos_docker_volume_logs_container_path,
+ 'mode': 'RW',
+ 'source': {
+ 'type': 'DOCKER_VOLUME',
+ 'docker_volume': {
+ 'driver': self.mesos_docker_volume_driver,
+ 'name': self.mesos_docker_volume_logs_name,
+ },
+ },
+ },
+ ],
+ 'docker': {
+ 'image': self.mesos_slave_docker_image,
+ 'force_pull_image': 'true',
+ 'privileged': 'true',
+ },
+ },
+ }
+
+ option = {'Filters': {'RefuseSeconds': '0.5'}}
+
+ tasks.append(task)
+ remaining_cpus -= self.task_cpu
+ remaining_mem -= self.task_mem
+ mesos_offer.accept(tasks, option)
+
+ @provide_session
+ def subscribed(self, driver, session=None):
+ """
+ Subscribe to Mesos Master
+
+ :param driver: Mesos driver object
+ """
+ from airflow.models import Connection
+
+ # Update the Framework ID in the database.
+ conn_id = FRAMEWORK_CONNID_PREFIX + get_framework_name()
+ connection =
session.query(Connection).filter_by(conn_id=conn_id).first()
+ if connection is None:
+ connection = Connection(conn_id=conn_id,
conn_type='mesos_framework-id', extra=driver.frameworkId)
+ else:
+ connection.extra = driver.frameworkId
+
+ self.driver = driver
+
+ def status_update(self, update):
+ """Update the Status of the Tasks. Based by Mesos Events."""
+ task_id = update["status"]["task_id"]["value"]
+ task_state = update["status"]["state"]
+
+ self.log.info("Task %s is in state %s", task_id, task_state)
+
+ try:
+ key = self.task_key_map[task_id]
+
+ except KeyError:
+ # The map may not contain an item if the framework re-registered
+ # after a failover.
+ # Discard these tasks.
+ self.log.info("Unrecognised task key %s", task_id)
+ return
+
+ if task_state == "TASK_FINISHED":
+ self.result_queue.put((key, State.SUCCESS))
+ return
+
+ if task_state in ('TASK_LOST', 'TASK_KILLED', 'TASK_FAILED'):
+ self.result_queue.put((key, State.FAILED))
+ return
+
+
+class MesosExecutor(BaseExecutor):
+ """
+ MesosExecutor allows distributing the execution of task
+ instances to multiple mesos workers.
+
+ Apache Mesos is a distributed systems kernel which abstracts
+ CPU, memory, storage, and other compute resources away from
+ machines (physical or virtual), enabling fault-tolerant and
+ elastic distributed systems to easily be built and run effectively.
+ See http://mesos.apache.org/
+ """
+
+ class MesosFramework(threading.Thread):
+ """MesosFramework class to start the threading"""
+
+ def __init__(self, client):
+ super().__init__(target=self)
+ self.client = client
+ self.stop = False
+
+ def run(self):
+ try:
+ self.client.register()
+ except KeyboardInterrupt:
+ print("Stop requested by user, stopping framework....")
+
+ def __init__(self):
+ super().__init__()
+ self.commands_to_run = []
+ self.task_queue = Queue()
+ self.result_queue = Queue()
+ self.driver = None
+ self.client = None
+ self.mesos_framework = None
+
+ @provide_session
+ def start(self, session=None):
+ """Setup and start routine to connect with the mesos master"""
+ master = conf.get('mesos', 'MASTER')
+
+ framework_name = get_framework_name()
+ framework_id = None
+ framework_role = conf.get('mesos', 'FRAMEWORK_ROLE',
fallback="marathon")
+
+ task_cpu = conf.getint('mesos', 'TASK_CPU', fallback=1)
+ task_memory = conf.getint('mesos', 'TASK_MEMORY', fallback=256)
+
+ if conf.getboolean('mesos', 'CHECKPOINT'):
+ framework_checkpoint = True
+
+ if conf.get('mesos', 'FAILOVER_TIMEOUT'):
+ # Import here to work around a circular import error
+ from airflow.models import Connection
+
+ # Query the database to get the ID of the Mesos Framework, if
available.
+ conn_id = FRAMEWORK_CONNID_PREFIX + framework_name
+ connection =
session.query(Connection).filter_by(conn_id=conn_id).first()
+ if connection is not None:
+ # Set the Framework ID to let the scheduler reconnect
+ # with running tasks.
+ framework_id = connection.extra
+
+ # Set Timeout in the case of a mesos master leader change
+ framework_failover_timeout = conf.getint('mesos',
'FAILOVER_TIMEOUT')
+
+ else:
+ framework_checkpoint = False
+
+ self.log.info(
+ 'MesosFramework master : %s, name : %s, cpu : %d, mem : %d,
checkpoint : %s, id : %s',
+ master,
+ framework_name,
+ task_cpu,
+ task_memory,
+ framework_checkpoint,
+ framework_id,
+ )
+
+ master_urls = "https://"; + master
+
+ self.client = MesosClient(
+ mesos_urls=master_urls.split(','),
Review comment:
This seems odd -- won't this only prefix the _first_ connection with
`https://` -- do we need to split first then make sure every url has the scheme?
##########
File path: tests/executors/test_mesos_executor.py
##########
@@ -0,0 +1,61 @@
+#
+# 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.
+
+
+# to use this test, please install and run
+# https://github.com/irvinlim/mesosmock
+# with the default configuration
+
+
+import unittest
+from queue import Queue
+
+try:
+ from avmesos.client import MesosClient
+
+ from airflow.executors.mesos_executor import AirflowMesosScheduler,
MesosExecutor
+
+ mock_mesos = True
+except ImportError:
+ mock_mesos = None # type: ignore
+
+
+class MesosExecutorTest(unittest.TestCase):
+ task_queue = Queue() # type: ignore
+ master = "localhost:5050"
+ fake_framework_name = "fake-framework-name"
+ task_cpu = 2
+ task_memory = 4
+ master_urls = "http://"; + master
+
+ @unittest.skipIf(mock_mesos is None, "mesos python eggs are not present")
+ def test_mesos_executor(self):
+ # create task queue, empty result queue, task_cpu and task_memory
+ mesos_executor = MesosExecutor()
+ mesos_executor.client = MesosClient(
+ mesos_urls=self.master_urls.split(','),
frameworkName=self.fake_framework_name, frameworkId=None
+ )
Review comment:
This connects to a real mesos server doesn't it? That means this test
can only run if there is a mesos cluster somewhere to test against.
We will need to change this test to use mocking.
##########
File path: tests/executors/test_mesos_executor.py
##########
@@ -0,0 +1,61 @@
+#
+# 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.
+
+
+# to use this test, please install and run
+# https://github.com/irvinlim/mesosmock
+# with the default configuration
+
+
+import unittest
+from queue import Queue
+
+try:
+ from avmesos.client import MesosClient
+
+ from airflow.executors.mesos_executor import AirflowMesosScheduler,
MesosExecutor
+
+ mock_mesos = True
+except ImportError:
+ mock_mesos = None # type: ignore
+
+
+class MesosExecutorTest(unittest.TestCase):
+ task_queue = Queue() # type: ignore
+ master = "localhost:5050"
+ fake_framework_name = "fake-framework-name"
+ task_cpu = 2
+ task_memory = 4
+ master_urls = "http://"; + master
+
+ @unittest.skipIf(mock_mesos is None, "mesos python eggs are not present")
Review comment:
```suggestion
@unittest.skipIf(mock_mesos is None, "mesos python modules are not
installed")
```
##########
File path: airflow/executors/mesos_executor.py
##########
@@ -0,0 +1,380 @@
+#
+# 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.
+
+import threading
+from queue import Queue
+from typing import Any, Dict, Optional
+
+from avmesos.client import MesosClient
+
+from airflow.configuration import conf
+from airflow.exceptions import AirflowException
+from airflow.executors.base_executor import BaseExecutor, CommandType
+from airflow.models.taskinstance import TaskInstanceKey
+from airflow.utils.session import provide_session
+from airflow.utils.state import State
+
+FRAMEWORK_CONNID_PREFIX = 'mesos_framework_'
+
+
+def get_framework_name():
+ """Get the mesos framework name if its set in airflow.cfg"""
+ return conf.get('mesos', 'FRAMEWORK_NAME')
+
+
+# pylint: disable=too-many-nested-blocks
+# pylint: disable=too-many-instance-attributes
+class AirflowMesosScheduler(MesosClient):
+ """
+ Airflow Mesos scheduler implements mesos scheduler interface
+ to schedule airflow tasks on mesos
+ Basically, it schedules a command like
+ 'airflow run <dag_id> <task_instance_id> <start_date> --local -p=<pickle>'
+ to run on a mesos slave
+ """
+
+ # pylint: disable=super-init-not-called
+ def __init__(self, executor, task_queue, result_queue, task_cpu: int = 1,
task_mem: int = 256):
+ self.task_queue = task_queue
+ self.result_queue = result_queue
+ self.task_cpu = task_cpu
+ self.task_mem = task_mem
+ self.task_counter = 0
+ self.task_key_map: Dict[str, str] = {}
+ self.log = executor.log
+ self.client = executor.client
+ self.executor = executor
+ self.driver = None
+
+ if not conf.get('mesos', 'DOCKER_IMAGE_SLAVE'):
+ self.log.error("Expecting docker image for mesos executor")
+ raise AirflowException("mesos.slave_docker_image not provided for
mesos executor")
+
+ self.mesos_slave_docker_image = conf.get('mesos', 'DOCKER_IMAGE_SLAVE')
+ self.mesos_docker_volume_driver = conf.get('mesos',
'DOCKER_VOLUME_DRIVER')
+ self.mesos_docker_volume_dag_name = conf.get('mesos',
'DOCKER_VOLUME_DAG_NAME')
+ self.mesos_docker_volume_dag_container_path = conf.get('mesos',
'DOCKER_VOLUME_DAG_CONTAINER_PATH')
+ self.mesos_docker_volume_logs_name = conf.get('mesos',
'DOCKER_VOLUME_LOGS_NAME')
+ self.mesos_docker_volume_logs_container_path = conf.get('mesos',
'DOCKER_VOLUME_LOGS_CONTAINER_PATH')
+ self.core_sql_alchemy_conn = conf.get('core', 'SQL_ALCHEMY_CONN')
+ self.core_fernet_key = conf.get('core', 'FERNET_KEY')
+ self.logging_logging_level = conf.get('logging', 'LOGGING_LEVEL')
+ self.command_shell = conf.get('mesos', 'COMMAND_SHELL').lower()
+
+ def resource_offers(self, offers):
+ """If we got a offer, run a queued task"""
+ self.log.debug('MESOS OFFER')
+ for i, offer in enumerate(offers):
+ if i == 0:
+ self.run_job(offer)
+ offer.decline()
+ i += 1
+
+ def run_job(self, mesos_offer):
+ """Start a queued Airflow task in Mesos"""
+ offer = mesos_offer.get_offer()
+ tasks = []
+ option = {}
+ offer_cpus = 0
+ offer_mem = 0
+ for resource in offer['resources']:
+ if resource['name'] == "cpus":
+ offer_cpus += resource['scalar']['value']
+ elif resource['name'] == "mem":
+ offer_mem += resource['scalar']['value']
+
+ self.log.debug(
+ "Received offer %s with cpus: %s and mem: %s",
offer['id']['value'], offer_cpus, offer_mem
+ )
+
+ remaining_cpus = offer_cpus
+ remaining_mem = offer_mem
+
+ while (
+ (not self.task_queue.empty())
+ and remaining_cpus >= self.task_cpu
+ and remaining_mem >= self.task_mem
+ ):
+
+ key, cmd, executor_config = self.task_queue.get()
+ self.log.debug(executor_config)
+ tid = self.task_counter
+ self.task_counter += 1
+ self.task_key_map[str(tid)] = key
+
+ self.log.debug("Launching task %d using offer %s", tid,
offer['id']['value'])
+
+ task = {
+ 'name': "AirflowTask %d" % tid,
+ 'task_id': {'value': str(tid)},
+ 'agent_id': {'value': offer['agent_id']['value']},
+ 'resources': [
+ {'name': 'cpus', 'type': 'SCALAR', 'scalar': {'value':
self.task_cpu}},
+ {'name': 'mem', 'type': 'SCALAR', 'scalar': {'value':
self.task_mem}},
+ ],
+ 'command': {
+ 'shell': self.command_shell,
+ 'environment': {
+ 'variables': [
+ {'name': 'AIRFLOW__CORE__SQL_ALCHEMY_CONN',
'value': self.core_sql_alchemy_conn},
+ {'name': 'AIRFLOW__CORE__FERNET_KEY', 'value':
self.core_fernet_key},
+ {'name': 'AIRFLOW__LOGGING__LOGGING_LEVEL',
'value': self.logging_logging_level},
+ ]
+ },
+ 'value': " ".join(cmd),
+ },
+ 'container': {
+ 'type': 'DOCKER',
+ 'volumes': [
+ {
+ 'container_path':
self.mesos_docker_volume_dag_container_path,
+ 'mode': 'RW',
+ 'source': {
+ 'type': 'DOCKER_VOLUME',
+ 'docker_volume': {
+ 'driver': self.mesos_docker_volume_driver,
+ 'name': self.mesos_docker_volume_dag_name,
+ },
+ },
+ },
+ {
+ 'container_path':
self.mesos_docker_volume_logs_container_path,
+ 'mode': 'RW',
+ 'source': {
+ 'type': 'DOCKER_VOLUME',
+ 'docker_volume': {
+ 'driver': self.mesos_docker_volume_driver,
+ 'name': self.mesos_docker_volume_logs_name,
+ },
+ },
+ },
+ ],
+ 'docker': {
+ 'image': self.mesos_slave_docker_image,
+ 'force_pull_image': 'true',
+ 'privileged': 'true',
+ },
+ },
+ }
+
+ option = {'Filters': {'RefuseSeconds': '0.5'}}
+
+ tasks.append(task)
+ remaining_cpus -= self.task_cpu
+ remaining_mem -= self.task_mem
+ mesos_offer.accept(tasks, option)
+
+ @provide_session
+ def subscribed(self, driver, session=None):
+ """
+ Subscribe to Mesos Master
+
+ :param driver: Mesos driver object
+ """
+ from airflow.models import Connection
+
+ # Update the Framework ID in the database.
+ conn_id = FRAMEWORK_CONNID_PREFIX + get_framework_name()
+ connection =
session.query(Connection).filter_by(conn_id=conn_id).first()
+ if connection is None:
+ connection = Connection(conn_id=conn_id,
conn_type='mesos_framework-id', extra=driver.frameworkId)
+ else:
+ connection.extra = driver.frameworkId
+
+ self.driver = driver
+
+ def status_update(self, update):
+ """Update the Status of the Tasks. Based by Mesos Events."""
+ task_id = update["status"]["task_id"]["value"]
+ task_state = update["status"]["state"]
+
+ self.log.info("Task %s is in state %s", task_id, task_state)
+
+ try:
+ key = self.task_key_map[task_id]
+
+ except KeyError:
+ # The map may not contain an item if the framework re-registered
+ # after a failover.
+ # Discard these tasks.
+ self.log.info("Unrecognised task key %s", task_id)
+ return
+
+ if task_state == "TASK_FINISHED":
+ self.result_queue.put((key, State.SUCCESS))
+ return
+
+ if task_state in ('TASK_LOST', 'TASK_KILLED', 'TASK_FAILED'):
+ self.result_queue.put((key, State.FAILED))
+ return
+
+
+class MesosExecutor(BaseExecutor):
+ """
+ MesosExecutor allows distributing the execution of task
+ instances to multiple mesos workers.
+
+ Apache Mesos is a distributed systems kernel which abstracts
+ CPU, memory, storage, and other compute resources away from
+ machines (physical or virtual), enabling fault-tolerant and
+ elastic distributed systems to easily be built and run effectively.
+ See http://mesos.apache.org/
+ """
+
+ class MesosFramework(threading.Thread):
+ """MesosFramework class to start the threading"""
+
+ def __init__(self, client):
+ super().__init__(target=self)
+ self.client = client
+ self.stop = False
+
+ def run(self):
+ try:
+ self.client.register()
+ except KeyboardInterrupt:
+ print("Stop requested by user, stopping framework....")
+
+ def __init__(self):
+ super().__init__()
+ self.commands_to_run = []
+ self.task_queue = Queue()
+ self.result_queue = Queue()
+ self.driver = None
+ self.client = None
+ self.mesos_framework = None
+
+ @provide_session
+ def start(self, session=None):
+ """Setup and start routine to connect with the mesos master"""
+ master = conf.get('mesos', 'MASTER')
+
+ framework_name = get_framework_name()
+ framework_id = None
+ framework_role = conf.get('mesos', 'FRAMEWORK_ROLE',
fallback="marathon")
+
+ task_cpu = conf.getint('mesos', 'TASK_CPU', fallback=1)
+ task_memory = conf.getint('mesos', 'TASK_MEMORY', fallback=256)
+
+ if conf.getboolean('mesos', 'CHECKPOINT'):
+ framework_checkpoint = True
+
+ if conf.get('mesos', 'FAILOVER_TIMEOUT'):
+ # Import here to work around a circular import error
+ from airflow.models import Connection
+
+ # Query the database to get the ID of the Mesos Framework, if
available.
+ conn_id = FRAMEWORK_CONNID_PREFIX + framework_name
+ connection =
session.query(Connection).filter_by(conn_id=conn_id).first()
+ if connection is not None:
+ # Set the Framework ID to let the scheduler reconnect
+ # with running tasks.
+ framework_id = connection.extra
+
+ # Set Timeout in the case of a mesos master leader change
+ framework_failover_timeout = conf.getint('mesos',
'FAILOVER_TIMEOUT')
+
+ else:
+ framework_checkpoint = False
+
+ self.log.info(
+ 'MesosFramework master : %s, name : %s, cpu : %d, mem : %d,
checkpoint : %s, id : %s',
+ master,
+ framework_name,
+ task_cpu,
+ task_memory,
+ framework_checkpoint,
+ framework_id,
+ )
+
+ master_urls = "https://"; + master
+
+ self.client = MesosClient(
+ mesos_urls=master_urls.split(','),
+ frameworkName=framework_name,
+ frameworkId=None,
+ )
+
+ self.client.set_role(framework_role)
+
+ if framework_checkpoint:
+ self.client.set_checkpoint(framework_checkpoint)
+ self.client.set_failover_timeout(framework_failover_timeout)
+
+ if conf.getboolean('mesos', 'AUTHENTICATE'):
+ if not conf.get('mesos', 'DEFAULT_PRINCIPAL'):
+ self.log.error("Expecting authentication principal in the
environment")
+ raise AirflowException("mesos.default_principal not provided
in authenticated mode")
+ if not conf.get('mesos', 'DEFAULT_SECRET'):
+ self.log.error("Expecting authentication secret in the
environment")
+ raise AirflowException("mesos.default_secret not provided in
authenticated mode")
+ self.client.principal = conf.get('mesos', 'DEFAULT_PRINCIPAL')
+ self.client.secret = conf.get('mesos', 'DEFAULT_SECRET')
+
+ driver = AirflowMesosScheduler(self, self.task_queue,
self.result_queue, task_cpu, task_memory)
+ self.driver = driver
+ self.client.on(MesosClient.SUBSCRIBED, driver.subscribed)
+ self.client.on(MesosClient.UPDATE, driver.status_update)
+ self.client.on(MesosClient.OFFERS, driver.resource_offers)
+ self.mesos_framework = MesosExecutor.MesosFramework(self.client)
+ self.mesos_framework.start()
+
+ def sync(self) -> None:
+ """Updates states of the tasks."""
+ self.log.debug("Update state of tasks")
+ if self.running:
+ self.log.debug('self.running: %s', self.running)
+
+ while not self.result_queue.empty():
+ results = self.result_queue.get()
+ key, state = results
+ if state == "success":
+ self.log.info("tasks successfull %s", key)
+ self.task_queue.task_done()
+ if state == "failed":
+ self.log.info("tasks failed %s", key)
+ self.task_queue.task_done()
+ self.change_state(*results)
+
+ def execute_async(
+ self,
+ key: TaskInstanceKey,
+ command: CommandType,
+ queue: Optional[str] = None,
+ executor_config: Optional[Any] = None,
+ ):
+ """Execute Tasks"""
+ self.log.info('Add task %s with command %s with TaskInstance %s', key,
command, executor_config)
+ self.validate_command(command)
+ self.task_queue.put((key, command, executor_config))
+
+ def end(self) -> None:
+ """Called when the executor shuts down"""
+ self.log.info('Shutting down Mesos Executor')
+ # Both queues should be empty...
+ self.task_queue = Queue()
+ self.result_queue = Queue()
+ self.task_queue.join()
+ self.result_queue.join()
Review comment:
What's the point of joining a freshly created queue? I don't think you
wanted to reset these attributes here.
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