Exemplo n.º 1
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    def _reconcile_tasks(self, when):
        """Sends any tasks that need to be reconciled to the reconciliation manager

        :param when: The current time
        :type when: :class:`datetime.datetime`
        """

        recon_mgr.add_tasks(task_mgr.get_tasks_to_reconcile(when))
Exemplo n.º 2
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    def _reconcile_running_jobs(self):
        """Reconciles all currently running job executions with Mesos"""

        # List of tasks to reconcile
        tasks_to_reconcile = []

        # Find current tasks for running executions
        for running_job_exe in job_exe_mgr.get_running_job_exes():
            task = running_job_exe.current_task
            if task:
                tasks_to_reconcile.append(task)

        # Send tasks to reconciliation thread
        recon_mgr.add_tasks(tasks_to_reconcile)
Exemplo n.º 3
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    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:
            lost_exes = job_exe_mgr.lost_node(node.id, started)
            tasks_to_reconcile = []
            for lost_exe in lost_exes:
                # Reconcile lost tasks
                lost_task = lost_exe.current_task
                if lost_task:
                    tasks_to_reconcile.append(lost_task)
                cleanup_mgr.add_job_execution(lost_exe)
            if tasks_to_reconcile:
                recon_mgr.add_tasks(tasks_to_reconcile)

        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())
Exemplo n.º 4
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    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())