def _sync_running_job_executions(self):
"""Syncs job executions that are currently running by handling any canceled or timed out executions
"""
running_job_exes = {}
for job_exe in running_job_mgr.get_all_job_exes():
running_job_exes[job_exe.id] = job_exe
right_now = now()
for job_exe_model in JobExecution.objects.filter(id__in=running_job_exes.keys()).iterator():
running_job_exe = running_job_exes[job_exe_model.id]
task_to_kill = None
if job_exe_model.status == 'CANCELED':
try:
task_to_kill = running_job_exe.execution_canceled()
except DatabaseError:
logger.exception('Error canceling job execution %i', running_job_exe.id)
elif job_exe_model.is_timed_out(right_now):
try:
task_to_kill = running_job_exe.execution_timed_out(right_now)
except DatabaseError:
logger.exception('Error failing timed out job execution %i', running_job_exe.id)
if task_to_kill:
pb_task_to_kill = mesos_pb2.TaskID()
pb_task_to_kill.value = task_to_kill.id
logger.info('Killing task %s', task_to_kill.id)
self._driver.killTask(pb_task_to_kill)
if running_job_exe.is_finished():
running_job_mgr.remove_job_exe(running_job_exe.id)
cleanup_mgr.add_job_execution(running_job_exe)
def slaveLost(self, driver, slaveId):
"""
Invoked when a slave has been determined unreachable (e.g., machine
failure, network partition.) Most frameworks will need to reschedule
any tasks launched on this slave on a new slave.
See documentation for :meth:`mesos_api.mesos.Scheduler.slaveLost`.
"""
started = now()
agent_id = slaveId.value
node = node_mgr.get_node(agent_id)
if node:
logger.warning('Node lost on host %s', node.hostname)
else:
logger.warning('Node lost on agent %s', agent_id)
node_mgr.lost_node(agent_id)
resource_mgr.lost_agent(agent_id)
# Fail job executions that were running on the lost node
if node:
for finished_job_exe in job_exe_mgr.lost_node(node.id, started):
cleanup_mgr.add_job_execution(finished_job_exe)
duration = now() - started
msg = 'Scheduler slaveLost() took %.3f seconds'
if duration > ScaleScheduler.NORMAL_WARN_THRESHOLD:
logger.warning(msg, duration.total_seconds())
else:
logger.debug(msg, duration.total_seconds())
def slaveLost(self, driver, slaveId):
"""
Invoked when a slave has been determined unreachable (e.g., machine
failure, network partition.) Most frameworks will need to reschedule
any tasks launched on this slave on a new slave.
See documentation for :meth:`mesos_api.mesos.Scheduler.slaveLost`.
"""
started = now()
agent_id = slaveId.value
node = node_mgr.get_node(agent_id)
if node:
logger.error('Node lost on host %s', node.hostname)
else:
logger.error('Node lost on agent %s', agent_id)
node_mgr.lost_node(agent_id)
offer_mgr.lost_node(agent_id)
# Fail job executions that were running on the lost node
if node:
for running_job_exe in running_job_mgr.get_job_exes_on_node(node.id):
try:
running_job_exe.execution_lost(started)
except DatabaseError:
logger.exception('Error failing lost job execution: %s', running_job_exe.id)
# Error failing execution, add task so it can be reconciled
task = running_job_exe.current_task
if task:
recon_mgr.add_task_ids([task.id])
if running_job_exe.is_finished():
running_job_mgr.remove_job_exe(running_job_exe.id)
cleanup_mgr.add_job_execution(running_job_exe)
duration = now() - started
msg = 'Scheduler slaveLost() took %.3f seconds'
if duration > ScaleScheduler.DATABASE_WARN_THRESHOLD:
logger.warning(msg, duration.total_seconds())
else:
logger.debug(msg, duration.total_seconds())
def _execute(self):
"""See :meth:`scheduler.threads.base_thread.BaseSchedulerThread._execute`
"""
scheduler_mgr.sync_with_database()
job_type_mgr.sync_with_database()
job_exe_mgr.sync_with_database()
workspace_mgr.sync_with_database()
node_mgr.sync_with_database(scheduler_mgr.config)
cleanup_mgr.update_nodes(node_mgr.get_nodes())
mesos_master = scheduler_mgr.mesos_address
resource_mgr.sync_with_mesos(mesos_master.hostname, mesos_master.port)
# Handle canceled job executions
for finished_job_exe in job_exe_mgr.sync_with_database():
cleanup_mgr.add_job_execution(finished_job_exe)
if settings.SECRETS_URL:
secrets_mgr.sync_with_backend()
def _schedule_waiting_tasks(self, nodes, running_job_exes, when):
"""Schedules all waiting tasks for which there are sufficient resources and updates the resource manager with
any resource shortages. All scheduling nodes that have fulfilled all of their waiting tasks will be returned so
new job executions can be added to them.
:param nodes: The dict of scheduling nodes stored by node ID
:type nodes: dict
:param running_job_exes: The currently running job executions
:type running_job_exes: list
:param when: The current time
:type when: :class:`datetime.datetime`
:returns: The dict of scheduling nodes stored by node ID that have no more waiting tasks
:rtype: dict
"""
fulfilled_nodes = {} # {Node ID: SchedulingNode}
waiting_tasks = []
# Schedule waiting node tasks first
for node in nodes.values():
has_waiting_tasks = node.accept_node_tasks(when, waiting_tasks)
if node.is_ready_for_next_job_task and not has_waiting_tasks:
# A node can only be fulfilled if it is able to run waiting tasks and it has no more waiting tasks
fulfilled_nodes[node.node_id] = node
# Schedule job executions already on the node waiting for their next task
node_lost_job_exes_ids = []
for running_job_exe in running_job_exes:
if running_job_exe.node_id not in nodes: # Unknown/lost node
node_lost_job_exes_ids.append(running_job_exe.id)
else:
node = nodes[running_job_exe.node_id]
if not node.is_ready_for_next_job_task or node.agent_id != running_job_exe.agent_id:
# Node is deprecated, offline, or has switched agent IDs
node_lost_job_exes_ids.append(running_job_exe.id)
elif running_job_exe.is_next_task_ready():
has_waiting_tasks = node.accept_job_exe_next_task(
running_job_exe, waiting_tasks)
if has_waiting_tasks and node.node_id in fulfilled_nodes:
# Node has tasks waiting for resources
del fulfilled_nodes[node.node_id]
# Handle any running job executions that have lost their node or become starved
finished_job_exes = job_exe_mgr.check_for_starvation(when)
if node_lost_job_exes_ids:
finished_job_exes.extend(
job_exe_mgr.lost_job_exes(node_lost_job_exes_ids, when))
for finished_job_exe in finished_job_exes:
cleanup_mgr.add_job_execution(finished_job_exe)
# Update waiting task counts and calculate shortages
agent_shortages = {} # {Agent ID: NodeResources}
new_waiting_tasks = {} # {Task ID: int}
for task in waiting_tasks:
if task.id in self._waiting_tasks:
count = self._waiting_tasks[task.id] + 1
else:
count = 1
new_waiting_tasks[task.id] = count
if count >= TASK_SHORTAGE_WAIT_COUNT:
# This task has waited too long for resources, generate a shortage
if task.agent_id in agent_shortages:
agent_shortages[task.agent_id].add(task.get_resources())
else:
resources = NodeResources()
resources.add(task.get_resources())
agent_shortages[task.agent_id] = resources
self._waiting_tasks = new_waiting_tasks
resource_mgr.set_agent_shortages(agent_shortages)
return fulfilled_nodes
def update(self, status):
"""
Invoked when the status of a task has changed (e.g., a slave is lost
and so the task is lost, a task finishes and an executor sends a
status update saying so, etc.) Note that returning from this callback
acknowledges receipt of this status update. If for whatever reason
the scheduler aborts during this callback (or the process exits)
another status update will be delivered. Note, however, that this is
currently not true if the slave sending the status update is lost or
fails during that time.
"""
started = now()
model = utils.create_task_update_model(status)
mesos_status = model.status
task_update = TaskStatusUpdate(model, utils.get_status_agent_id(status), utils.get_status_data(status))
task_id = task_update.task_id
was_task_finished = task_update.status in TaskStatusUpdate.TERMINAL_STATUSES
was_job_finished = False
if mesos_status == 'TASK_ERROR':
logger.error('Status update for task %s: %s', task_id, mesos_status)
if mesos_status == 'TASK_LOST':
logger.warning('Status update for task %s: %s', task_id, mesos_status)
else:
logger.info('Status update for task %s: %s', task_id, mesos_status)
# Since we have a status update for this task, remove it from reconciliation set
recon_mgr.remove_task_id(task_id)
# Hand off task update to be saved in the database
if task_id.startswith(JOB_TASK_ID_PREFIX):
# Grab job execution ID from manager
cluster_id = JobExecution.parse_cluster_id(task_id)
job_exe = job_exe_mgr.get_running_job_exe(cluster_id)
if job_exe:
model.job_exe_id = job_exe.id
task_update_mgr.add_task_update(model)
# Update task with latest status
# This should happen before the job execution or node manager are updated, since they will assume that the task
# has already been updated
task_mgr.handle_task_update(task_update)
if task_id.startswith(JOB_TASK_ID_PREFIX):
# Job task, so update the job execution
try:
job_exe = job_exe_mgr.handle_task_update(task_update)
if job_exe and job_exe.is_finished():
logger.info("job_exe with job id %s and node id %s is finished", job_exe.job_id, job_exe.node_id)
was_job_finished = True
cleanup_mgr.add_job_execution(job_exe)
GPUManager.release_gpus(job_exe.node_id, job_exe.job_id)
except Exception:
cluster_id = JobExecution.parse_cluster_id(task_id)
logger.exception('Error handling status update for job execution: %s', cluster_id)
# Error handling status update, add task so it can be reconciled
task = task_mgr.get_task(task_id)
if task:
recon_mgr.add_tasks([task])
else:
# Not a job task, so must be either a node or system task
node_mgr.handle_task_update(task_update)
system_task_mgr.handle_task_update(task_update)
scheduler_mgr.add_task_update_counts(was_task_finished, was_job_finished)
duration = now() - started
msg = 'Scheduler statusUpdate() took %.3f seconds'
if duration > ScaleScheduler.NORMAL_WARN_THRESHOLD:
logger.warning(msg, duration.total_seconds())
else:
logger.debug(msg, duration.total_seconds())
def statusUpdate(self, driver, status):
"""
Invoked when the status of a task has changed (e.g., a slave is lost
and so the task is lost, a task finishes and an executor sends a
status update saying so, etc.) Note that returning from this callback
acknowledges receipt of this status update. If for whatever reason
the scheduler aborts during this callback (or the process exits)
another status update will be delivered. Note, however, that this is
currently not true if the slave sending the status update is lost or
fails during that time.
See documentation for :meth:`mesos_api.mesos.Scheduler.statusUpdate`.
"""
started = now()
model = utils.create_task_update_model(status)
mesos_status = model.status
task_update = TaskStatusUpdate(model, utils.get_status_agent_id(status))
task_id = task_update.task_id
if mesos_status == 'TASK_LOST':
logger.warning('Status update for task %s: %s', task_id, mesos_status)
else:
logger.info('Status update for task %s: %s', task_id, mesos_status)
# Since we have a status update for this task, remove it from reconciliation set
recon_mgr.remove_task_id(task_id)
# Hand off task update to be saved in the database
task_update_mgr.add_task_update(model)
if task_id.startswith(CLEANUP_TASK_ID_PREFIX):
cleanup_mgr.handle_task_update(task_update)
else:
job_exe_id = JobExecution.get_job_exe_id(task_id)
try:
running_job_exe = running_job_mgr.get_job_exe(job_exe_id)
if running_job_exe:
running_job_exe.task_update(task_update)
# Remove finished job execution
if running_job_exe.is_finished():
running_job_mgr.remove_job_exe(job_exe_id)
cleanup_mgr.add_job_execution(running_job_exe)
else:
# Scheduler doesn't have any knowledge of this job execution
Queue.objects.handle_job_failure(job_exe_id, now(), [],
Error.objects.get_builtin_error('scheduler-lost'))
except Exception:
logger.exception('Error handling status update for job execution: %s', job_exe_id)
# Error handling status update, add task so it can be reconciled
recon_mgr.add_task_ids([task_id])
duration = now() - started
msg = 'Scheduler statusUpdate() took %.3f seconds'
if duration > ScaleScheduler.DATABASE_WARN_THRESHOLD:
logger.warning(msg, duration.total_seconds())
else:
logger.debug(msg, duration.total_seconds())
