remove worker timeout & remove disk request
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2d80d2505a
commit
36c1babcd9
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@ -42,13 +42,12 @@ class TaskMgr(threading.Thread):
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# load task information from etcd
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# initial a task queue and task schedueler
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# taskmgr: a taskmgr instance
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def __init__(self, nodemgr, monitor_fetcher, logger, worker_timeout=60, scheduler_interval=2):
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def __init__(self, nodemgr, monitor_fetcher, logger, scheduler_interval=2):
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threading.Thread.__init__(self)
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self.thread_stop = False
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self.jobmgr = None
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self.task_queue = []
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self.heart_beat_timeout = worker_timeout # (s)
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self.scheduler_interval = scheduler_interval
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self.logger = logger
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@ -109,7 +108,6 @@ class TaskMgr(threading.Thread):
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instance['status'] = report.instanceStatus
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instance['error_msg'] = report.errmsg
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instance['last_update_time'] = time.time()
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if report.instanceStatus == COMPLETED:
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self.check_task_completed(task)
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@ -174,7 +172,6 @@ class TaskMgr(threading.Thread):
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instance = task.instance_list[instance_id]
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instance['status'] = RUNNING
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instance['last_update_time'] = time.time()
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instance['try_count'] += 1
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instance['token'] = task.info.token
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instance['worker'] = worker_ip
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@ -209,12 +206,12 @@ class TaskMgr(threading.Thread):
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return task, index, worker
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# find timeout instance
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elif instance['status'] == RUNNING:
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if time.time() - instance['last_update_time'] > self.heart_beat_timeout:
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if not is_alive(instance['worker']):
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instance['status'] = FAILED
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instance['token'] = ''
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self.cpu_usage[instance['worker']] -= task.info.cluster.instance.cpu
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self.logger.warning('[task_scheduler] worker timeout task [%s] instance [%d]' % (task.info.id, index))
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self.logger.warning('[task_scheduler] worker dead, retry task [%s] instance [%d]' % (task.info.id, index))
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if worker is not None:
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return task, index, worker
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@ -241,8 +238,8 @@ class TaskMgr(threading.Thread):
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continue
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if task.info.cluster.instance.memory > worker_info['memory']:
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continue
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if task.info.cluster.instance.disk > worker_info['disk']:
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continue
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# if task.info.cluster.instance.disk > worker_info['disk']:
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# continue
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if task.info.cluster.instance.gpu > worker_info['gpu']:
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continue
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return worker_ip
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@ -259,6 +256,11 @@ class TaskMgr(threading.Thread):
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return all_nodes
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def is_alive(self, worker):
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nodes = self.nodemgr.get_nodeips()
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return worker in nodes
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def get_worker_resource_info(self, worker_ip):
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fetcher = self.monitor_fetcher(worker_ip)
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worker_info = fetcher.info
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@ -324,3 +326,4 @@ class TaskMgr(threading.Thread):
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if task.info.id == taskid:
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return task
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return None
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@ -135,7 +135,7 @@ def test():
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jobmgr = SimulatedJobMgr()
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jobmgr.start()
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taskmgr = master.taskmgr.TaskMgr(SimulatedNodeMgr(), SimulatedMonitorFetcher, SimulatedLogger(), worker_timeout=10, scheduler_interval=2)
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taskmgr = master.taskmgr.TaskMgr(SimulatedNodeMgr(), SimulatedMonitorFetcher, SimulatedLogger(), scheduler_interval=2)
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taskmgr.set_jobmgr(jobmgr)
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taskmgr.start()
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