MatrixSynapse/synapse/util/ratelimitutils.py

390 lines
13 KiB
Python

# Copyright 2015, 2016 OpenMarket Ltd
#
# Licensed 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 collections
import contextlib
import logging
import threading
import typing
from typing import (
Any,
Callable,
ContextManager,
DefaultDict,
Dict,
Iterator,
List,
Mapping,
MutableSet,
Optional,
Set,
Tuple,
)
from weakref import WeakSet
from prometheus_client.core import Counter
from twisted.internet import defer
from synapse.api.errors import LimitExceededError
from synapse.config.ratelimiting import FederationRatelimitSettings
from synapse.logging.context import (
PreserveLoggingContext,
make_deferred_yieldable,
run_in_background,
)
from synapse.logging.opentracing import start_active_span
from synapse.metrics import Histogram, LaterGauge
from synapse.util import Clock
if typing.TYPE_CHECKING:
from contextlib import _GeneratorContextManager
logger = logging.getLogger(__name__)
# Track how much the ratelimiter is affecting requests
rate_limit_sleep_counter = Counter(
"synapse_rate_limit_sleep",
"Number of requests slept by the rate limiter",
["rate_limiter_name"],
)
rate_limit_reject_counter = Counter(
"synapse_rate_limit_reject",
"Number of requests rejected by the rate limiter",
["rate_limiter_name"],
)
queue_wait_timer = Histogram(
"synapse_rate_limit_queue_wait_time_seconds",
"Amount of time spent waiting for the rate limiter to let our request through.",
["rate_limiter_name"],
buckets=(
0.005,
0.01,
0.025,
0.05,
0.1,
0.25,
0.5,
0.75,
1.0,
2.5,
5.0,
10.0,
20.0,
"+Inf",
),
)
# This must be a `WeakSet`, otherwise we indirectly hold on to entire `HomeServer`s
# during trial test runs and leak a lot of memory.
_rate_limiter_instances: MutableSet["FederationRateLimiter"] = WeakSet()
# Protects the _rate_limiter_instances set from concurrent access
_rate_limiter_instances_lock = threading.Lock()
def _get_counts_from_rate_limiter_instance(
count_func: Callable[["FederationRateLimiter"], int]
) -> Mapping[Tuple[str, ...], int]:
"""Returns a count of something (slept/rejected hosts) by (metrics_name)"""
# Cast to a list to prevent it changing while the Prometheus
# thread is collecting metrics
with _rate_limiter_instances_lock:
rate_limiter_instances = list(_rate_limiter_instances)
# Map from (metrics_name,) -> int, the number of something like slept hosts
# or rejected hosts. The key type is Tuple[str], but we leave the length
# unspecified for compatability with LaterGauge's annotations.
counts: Dict[Tuple[str, ...], int] = {}
for rate_limiter_instance in rate_limiter_instances:
# Only track metrics if they provided a `metrics_name` to
# differentiate this instance of the rate limiter.
if rate_limiter_instance.metrics_name:
key = (rate_limiter_instance.metrics_name,)
counts[key] = count_func(rate_limiter_instance)
return counts
# We track the number of affected hosts per time-period so we can
# differentiate one really noisy homeserver from a general
# ratelimit tuning problem across the federation.
LaterGauge(
"synapse_rate_limit_sleep_affected_hosts",
"Number of hosts that had requests put to sleep",
["rate_limiter_name"],
lambda: _get_counts_from_rate_limiter_instance(
lambda rate_limiter_instance: sum(
ratelimiter.should_sleep()
for ratelimiter in rate_limiter_instance.ratelimiters.values()
)
),
)
LaterGauge(
"synapse_rate_limit_reject_affected_hosts",
"Number of hosts that had requests rejected",
["rate_limiter_name"],
lambda: _get_counts_from_rate_limiter_instance(
lambda rate_limiter_instance: sum(
ratelimiter.should_reject()
for ratelimiter in rate_limiter_instance.ratelimiters.values()
)
),
)
class FederationRateLimiter:
"""Used to rate limit request per-host."""
def __init__(
self,
clock: Clock,
config: FederationRatelimitSettings,
metrics_name: Optional[str] = None,
):
"""
Args:
clock
config
metrics_name: The name of the rate limiter so we can differentiate it
from the rest in the metrics. If `None`, we don't track metrics
for this rate limiter.
"""
self.metrics_name = metrics_name
def new_limiter() -> "_PerHostRatelimiter":
return _PerHostRatelimiter(
clock=clock, config=config, metrics_name=metrics_name
)
self.ratelimiters: DefaultDict[
str, "_PerHostRatelimiter"
] = collections.defaultdict(new_limiter)
with _rate_limiter_instances_lock:
_rate_limiter_instances.add(self)
def ratelimit(self, host: str) -> "_GeneratorContextManager[defer.Deferred[None]]":
"""Used to ratelimit an incoming request from a given host
Example usage:
with rate_limiter.ratelimit(origin) as wait_deferred:
yield wait_deferred
# Handle request ...
Args:
host: Origin of incoming request.
Returns:
context manager which returns a deferred.
"""
return self.ratelimiters[host].ratelimit(host)
class _PerHostRatelimiter:
def __init__(
self,
clock: Clock,
config: FederationRatelimitSettings,
metrics_name: Optional[str] = None,
):
"""
Args:
clock
config
metrics_name: The name of the rate limiter so we can differentiate it
from the rest in the metrics. If `None`, we don't track metrics
for this rate limiter.
from the rest in the metrics
"""
self.clock = clock
self.metrics_name = metrics_name
self.window_size = config.window_size
self.sleep_limit = config.sleep_limit
self.sleep_sec = config.sleep_delay / 1000.0
self.reject_limit = config.reject_limit
self.concurrent_requests = config.concurrent
# request_id objects for requests which have been slept
self.sleeping_requests: Set[object] = set()
# map from request_id object to Deferred for requests which are ready
# for processing but have been queued
self.ready_request_queue: collections.OrderedDict[
object, defer.Deferred[None]
] = collections.OrderedDict()
# request id objects for requests which are in progress
self.current_processing: Set[object] = set()
# times at which we have recently (within the last window_size ms)
# received requests.
self.request_times: List[int] = []
@contextlib.contextmanager
def ratelimit(self, host: str) -> "Iterator[defer.Deferred[None]]":
# `contextlib.contextmanager` takes a generator and turns it into a
# context manager. The generator should only yield once with a value
# to be returned by manager.
# Exceptions will be reraised at the yield.
self.host = host
request_id = object()
# Ideally we'd use `Deferred.fromCoroutine()` here, to save on redundant
# type-checking, but we'd need Twisted >= 21.2.
ret = defer.ensureDeferred(self._on_enter_with_tracing(request_id))
try:
yield ret
finally:
self._on_exit(request_id)
def should_reject(self) -> bool:
"""
Whether to reject the request if we already have too many queued up
(either sleeping or in the ready queue).
"""
queue_size = len(self.ready_request_queue) + len(self.sleeping_requests)
return queue_size > self.reject_limit
def should_sleep(self) -> bool:
"""
Whether to sleep the request if we already have too many requests coming
through within the window.
"""
return len(self.request_times) > self.sleep_limit
async def _on_enter_with_tracing(self, request_id: object) -> None:
maybe_metrics_cm: ContextManager = contextlib.nullcontext()
if self.metrics_name:
maybe_metrics_cm = queue_wait_timer.labels(self.metrics_name).time()
with start_active_span("ratelimit wait"), maybe_metrics_cm:
await self._on_enter(request_id)
def _on_enter(self, request_id: object) -> "defer.Deferred[None]":
time_now = self.clock.time_msec()
# remove any entries from request_times which aren't within the window
self.request_times[:] = [
r for r in self.request_times if time_now - r < self.window_size
]
# reject the request if we already have too many queued up (either
# sleeping or in the ready queue).
if self.should_reject():
logger.debug("Ratelimiter(%s): rejecting request", self.host)
if self.metrics_name:
rate_limit_reject_counter.labels(self.metrics_name).inc()
raise LimitExceededError(
retry_after_ms=int(self.window_size / self.sleep_limit)
)
self.request_times.append(time_now)
def queue_request() -> "defer.Deferred[None]":
if len(self.current_processing) >= self.concurrent_requests:
queue_defer: defer.Deferred[None] = defer.Deferred()
self.ready_request_queue[request_id] = queue_defer
logger.info(
"Ratelimiter(%s): queueing request (queue now %i items)",
self.host,
len(self.ready_request_queue),
)
return queue_defer
else:
return defer.succeed(None)
logger.debug(
"Ratelimit(%s) [%s]: len(self.request_times)=%d",
self.host,
id(request_id),
len(self.request_times),
)
if self.should_sleep():
logger.debug(
"Ratelimiter(%s) [%s]: sleeping request for %f sec",
self.host,
id(request_id),
self.sleep_sec,
)
if self.metrics_name:
rate_limit_sleep_counter.labels(self.metrics_name).inc()
ret_defer = run_in_background(self.clock.sleep, self.sleep_sec)
self.sleeping_requests.add(request_id)
def on_wait_finished(_: Any) -> "defer.Deferred[None]":
logger.debug(
"Ratelimit(%s) [%s]: Finished sleeping", self.host, id(request_id)
)
self.sleeping_requests.discard(request_id)
queue_defer = queue_request()
return queue_defer
ret_defer.addBoth(on_wait_finished)
else:
ret_defer = queue_request()
def on_start(r: object) -> object:
logger.debug(
"Ratelimit(%s) [%s]: Processing req", self.host, id(request_id)
)
self.current_processing.add(request_id)
return r
def on_err(r: object) -> object:
# XXX: why is this necessary? this is called before we start
# processing the request so why would the request be in
# current_processing?
self.current_processing.discard(request_id)
return r
def on_both(r: object) -> object:
# Ensure that we've properly cleaned up.
self.sleeping_requests.discard(request_id)
self.ready_request_queue.pop(request_id, None)
return r
ret_defer.addCallbacks(on_start, on_err)
ret_defer.addBoth(on_both)
return make_deferred_yieldable(ret_defer)
def _on_exit(self, request_id: object) -> None:
logger.debug("Ratelimit(%s) [%s]: Processed req", self.host, id(request_id))
# When requests complete synchronously, we will recursively start the next
# request in the queue. To avoid stack exhaustion, we defer starting the next
# request until the next reactor tick.
def start_next_request() -> None:
# We only remove the completed request from the list when we're about to
# start the next one, otherwise we can allow extra requests through.
self.current_processing.discard(request_id)
try:
# start processing the next item on the queue.
_, deferred = self.ready_request_queue.popitem(last=False)
with PreserveLoggingContext():
deferred.callback(None)
except KeyError:
pass
self.clock.call_later(0.0, start_next_request)