399 lines
15 KiB
Python
399 lines
15 KiB
Python
# Copyright 2023 The Matrix.org Foundation C.I.C.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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from typing import TYPE_CHECKING, Awaitable, Callable, Dict, List, Optional, Set, Tuple
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from twisted.python.failure import Failure
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from synapse.logging.context import nested_logging_context
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from synapse.metrics import LaterGauge
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from synapse.metrics.background_process_metrics import (
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run_as_background_process,
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wrap_as_background_process,
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)
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from synapse.types import JsonMapping, ScheduledTask, TaskStatus
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from synapse.util.stringutils import random_string
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if TYPE_CHECKING:
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from synapse.server import HomeServer
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logger = logging.getLogger(__name__)
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class TaskScheduler:
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"""
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This is a simple task sheduler aimed at resumable tasks: usually we use `run_in_background`
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to launch a background task, or Twisted `deferLater` if we want to do so later on.
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The problem with that is that the tasks will just stop and never be resumed if synapse
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is stopped for whatever reason.
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How this works:
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- A function mapped to a named action should first be registered with `register_action`.
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This function will be called when trying to resuming tasks after a synapse shutdown,
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so this registration should happen when synapse is initialised, NOT right before scheduling
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a task.
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- A task can then be launched using this named action with `schedule_task`. A `params` dict
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can be passed, and it will be available to the registered function when launched. This task
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can be launch either now-ish, or later on by giving a `timestamp` parameter.
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The function may call `update_task` at any time to update the `result` of the task,
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and this can be used to resume the task at a specific point and/or to convey a result to
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the code launching the task.
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You can also specify the `result` (and/or an `error`) when returning from the function.
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The reconciliation loop runs every minute, so this is not a precise scheduler.
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There is a limit of 10 concurrent tasks, so tasks may be delayed if the pool is already
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full. In this regard, please take great care that scheduled tasks can actually finished.
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For now there is no mechanism to stop a running task if it is stuck.
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Tasks will be run on the worker specified with `run_background_tasks_on` config,
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or the main one by default.
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"""
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# Precision of the scheduler, evaluation of tasks to run will only happen
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# every `SCHEDULE_INTERVAL_MS` ms
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SCHEDULE_INTERVAL_MS = 1 * 60 * 1000 # 1mn
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# How often to clean up old tasks.
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CLEANUP_INTERVAL_MS = 30 * 60 * 1000
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# Time before a complete or failed task is deleted from the DB
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KEEP_TASKS_FOR_MS = 7 * 24 * 60 * 60 * 1000 # 1 week
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# Maximum number of tasks that can run at the same time
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MAX_CONCURRENT_RUNNING_TASKS = 5
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# Time from the last task update after which we will log a warning
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LAST_UPDATE_BEFORE_WARNING_MS = 24 * 60 * 60 * 1000 # 24hrs
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def __init__(self, hs: "HomeServer"):
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self._hs = hs
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self._store = hs.get_datastores().main
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self._clock = hs.get_clock()
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self._running_tasks: Set[str] = set()
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# A map between action names and their registered function
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self._actions: Dict[
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str,
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Callable[
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[ScheduledTask],
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Awaitable[Tuple[TaskStatus, Optional[JsonMapping], Optional[str]]],
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],
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] = {}
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self._run_background_tasks = hs.config.worker.run_background_tasks
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# Flag to make sure we only try and launch new tasks once at a time.
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self._launching_new_tasks = False
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if self._run_background_tasks:
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self._clock.looping_call(
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self._launch_scheduled_tasks,
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TaskScheduler.SCHEDULE_INTERVAL_MS,
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)
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self._clock.looping_call(
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self._clean_scheduled_tasks,
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TaskScheduler.SCHEDULE_INTERVAL_MS,
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)
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LaterGauge(
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"synapse_scheduler_running_tasks",
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"The number of concurrent running tasks handled by the TaskScheduler",
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labels=None,
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caller=lambda: len(self._running_tasks),
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)
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def register_action(
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self,
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function: Callable[
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[ScheduledTask],
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Awaitable[Tuple[TaskStatus, Optional[JsonMapping], Optional[str]]],
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],
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action_name: str,
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) -> None:
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"""Register a function to be executed when an action is scheduled with
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the specified action name.
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Actions need to be registered as early as possible so that a resumed action
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can find its matching function. It's usually better to NOT do that right before
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calling `schedule_task` but rather in an `__init__` method.
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Args:
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function: The function to be executed for this action. The parameter
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passed to the function when launched is the `ScheduledTask` being run.
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The function should return a tuple of new `status`, `result`
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and `error` as specified in `ScheduledTask`.
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action_name: The name of the action to be associated with the function
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"""
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self._actions[action_name] = function
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async def schedule_task(
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self,
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action: str,
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*,
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resource_id: Optional[str] = None,
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timestamp: Optional[int] = None,
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params: Optional[JsonMapping] = None,
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) -> str:
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"""Schedule a new potentially resumable task. A function matching the specified
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`action` should have be registered with `register_action` before the task is run.
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Args:
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action: the name of a previously registered action
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resource_id: a task can be associated with a resource id to facilitate
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getting all tasks associated with a specific resource
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timestamp: if `None`, the task will be launched as soon as possible, otherwise it
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will be launch as soon as possible after the `timestamp` value.
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Note that this scheduler is not meant to be precise, and the scheduling
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could be delayed if too many tasks are already running
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params: a set of parameters that can be easily accessed from inside the
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executed function
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Returns:
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The id of the scheduled task
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"""
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status = TaskStatus.SCHEDULED
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if timestamp is None or timestamp < self._clock.time_msec():
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timestamp = self._clock.time_msec()
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status = TaskStatus.ACTIVE
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task = ScheduledTask(
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random_string(16),
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action,
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status,
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timestamp,
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resource_id,
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params,
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result=None,
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error=None,
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)
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await self._store.insert_scheduled_task(task)
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if status == TaskStatus.ACTIVE:
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if self._run_background_tasks:
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await self._launch_task(task)
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else:
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self._hs.get_replication_command_handler().send_new_active_task(task.id)
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return task.id
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async def update_task(
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self,
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id: str,
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*,
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timestamp: Optional[int] = None,
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status: Optional[TaskStatus] = None,
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result: Optional[JsonMapping] = None,
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error: Optional[str] = None,
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) -> bool:
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"""Update some task associated values. This is exposed publicly so it can
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be used inside task functions, mainly to update the result and be able to
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resume a task at a specific step after a restart of synapse.
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It can also be used to stage a task, by setting the `status` to `SCHEDULED` with
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a new timestamp.
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The `status` can only be set to `ACTIVE` or `SCHEDULED`, `COMPLETE` and `FAILED`
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are terminal status and can only be set by returning it in the function.
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Args:
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id: the id of the task to update
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timestamp: useful to schedule a new stage of the task at a later date
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status: the new `TaskStatus` of the task
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result: the new result of the task
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error: the new error of the task
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"""
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if status == TaskStatus.COMPLETE or status == TaskStatus.FAILED:
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raise Exception(
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"update_task can't be called with a FAILED or COMPLETE status"
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)
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if timestamp is None:
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timestamp = self._clock.time_msec()
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return await self._store.update_scheduled_task(
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id,
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timestamp,
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status=status,
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result=result,
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error=error,
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)
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async def get_task(self, id: str) -> Optional[ScheduledTask]:
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"""Get a specific task description by id.
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Args:
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id: the id of the task to retrieve
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Returns:
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The task information or `None` if it doesn't exist or it has
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already been removed because it's too old.
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"""
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return await self._store.get_scheduled_task(id)
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async def get_tasks(
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self,
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*,
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actions: Optional[List[str]] = None,
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resource_id: Optional[str] = None,
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statuses: Optional[List[TaskStatus]] = None,
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max_timestamp: Optional[int] = None,
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limit: Optional[int] = None,
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) -> List[ScheduledTask]:
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"""Get a list of tasks. Returns all the tasks if no args is provided.
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If an arg is `None` all tasks matching the other args will be selected.
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If an arg is an empty list, the corresponding value of the task needs
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to be `None` to be selected.
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Args:
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actions: Limit the returned tasks to those specific action names
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resource_id: Limit the returned tasks to the specific resource id, if specified
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statuses: Limit the returned tasks to the specific statuses
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max_timestamp: Limit the returned tasks to the ones that have
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a timestamp inferior to the specified one
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limit: Only return `limit` number of rows if set.
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Returns
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A list of `ScheduledTask`, ordered by increasing timestamps
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"""
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return await self._store.get_scheduled_tasks(
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actions=actions,
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resource_id=resource_id,
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statuses=statuses,
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max_timestamp=max_timestamp,
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limit=limit,
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)
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async def delete_task(self, id: str) -> None:
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"""Delete a task. Running tasks can't be deleted.
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Can only be called from the worker handling the task scheduling.
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Args:
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id: id of the task to delete
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"""
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task = await self.get_task(id)
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if task is None:
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raise Exception(f"Task {id} does not exist")
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if task.status == TaskStatus.ACTIVE:
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raise Exception(f"Task {id} is currently ACTIVE and can't be deleted")
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await self._store.delete_scheduled_task(id)
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def launch_task_by_id(self, id: str) -> None:
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"""Try launching the task with the given ID."""
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# Don't bother trying to launch new tasks if we're already at capacity.
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if len(self._running_tasks) >= TaskScheduler.MAX_CONCURRENT_RUNNING_TASKS:
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return
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run_as_background_process("launch_task_by_id", self._launch_task_by_id, id)
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async def _launch_task_by_id(self, id: str) -> None:
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"""Helper async function for `launch_task_by_id`."""
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task = await self.get_task(id)
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if task:
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await self._launch_task(task)
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@wrap_as_background_process("launch_scheduled_tasks")
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async def _launch_scheduled_tasks(self) -> None:
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"""Retrieve and launch scheduled tasks that should be running at that time."""
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# Don't bother trying to launch new tasks if we're already at capacity.
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if len(self._running_tasks) >= TaskScheduler.MAX_CONCURRENT_RUNNING_TASKS:
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return
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if self._launching_new_tasks:
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return
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self._launching_new_tasks = True
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try:
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for task in await self.get_tasks(
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statuses=[TaskStatus.ACTIVE], limit=self.MAX_CONCURRENT_RUNNING_TASKS
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):
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await self._launch_task(task)
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for task in await self.get_tasks(
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statuses=[TaskStatus.SCHEDULED],
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max_timestamp=self._clock.time_msec(),
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limit=self.MAX_CONCURRENT_RUNNING_TASKS,
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):
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await self._launch_task(task)
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finally:
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self._launching_new_tasks = False
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@wrap_as_background_process("clean_scheduled_tasks")
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async def _clean_scheduled_tasks(self) -> None:
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"""Clean old complete or failed jobs to avoid clutter the DB."""
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now = self._clock.time_msec()
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for task in await self._store.get_scheduled_tasks(
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statuses=[TaskStatus.FAILED, TaskStatus.COMPLETE],
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max_timestamp=now - TaskScheduler.KEEP_TASKS_FOR_MS,
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):
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# FAILED and COMPLETE tasks should never be running
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assert task.id not in self._running_tasks
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await self._store.delete_scheduled_task(task.id)
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async def _launch_task(self, task: ScheduledTask) -> None:
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"""Launch a scheduled task now.
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Args:
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task: the task to launch
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"""
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assert self._run_background_tasks
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if task.action not in self._actions:
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raise Exception(
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f"No function associated with action {task.action} of the scheduled task {task.id}"
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)
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function = self._actions[task.action]
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async def wrapper() -> None:
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with nested_logging_context(task.id):
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try:
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(status, result, error) = await function(task)
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except Exception:
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f = Failure()
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logger.error(
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f"scheduled task {task.id} failed",
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exc_info=(f.type, f.value, f.getTracebackObject()),
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)
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status = TaskStatus.FAILED
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result = None
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error = f.getErrorMessage()
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await self._store.update_scheduled_task(
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task.id,
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self._clock.time_msec(),
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status=status,
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result=result,
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error=error,
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)
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self._running_tasks.remove(task.id)
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# Try launch a new task since we've finished with this one.
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self._clock.call_later(0.1, self._launch_scheduled_tasks)
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if len(self._running_tasks) >= TaskScheduler.MAX_CONCURRENT_RUNNING_TASKS:
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return
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if (
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self._clock.time_msec()
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> task.timestamp + TaskScheduler.LAST_UPDATE_BEFORE_WARNING_MS
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):
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logger.warn(
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f"Task {task.id} (action {task.action}) has seen no update for more than 24h and may be stuck"
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)
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if task.id in self._running_tasks:
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return
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self._running_tasks.add(task.id)
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await self.update_task(task.id, status=TaskStatus.ACTIVE)
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run_as_background_process(f"task-{task.action}", wrapper)
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