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Fixes #2665. Regenerated by tabbott with `lint --fix` after a rebase and change in parameters. Note from tabbott: In a few cases, this converts technical debt in the form of unsorted imports into different technical debt in the form of our largest files having very long, ugly import sequences at the start. I expect this change will increase pressure for us to split those files, which isn't a bad thing. Signed-off-by: Anders Kaseorg <anders@zulip.com>
149 lines
6.5 KiB
Python
149 lines
6.5 KiB
Python
# See https://zulip.readthedocs.io/en/latest/subsystems/caching.html for docs
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import datetime
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import logging
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from importlib import import_module
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from typing import Any, Callable, Dict, List, Tuple
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from django.conf import settings
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from django.contrib.sessions.models import Session
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from django.db.models import Q
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from django.utils.timezone import now as timezone_now
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# This file needs to be different from cache.py because cache.py
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# cannot import anything from zerver.models or we'd have an import
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# loop
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from analytics.models import RealmCount
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from zerver.lib.cache import (
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cache_set_many,
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get_remote_cache_requests,
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get_remote_cache_time,
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to_dict_cache_key_id,
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user_profile_by_api_key_cache_key,
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user_profile_cache_key,
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)
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from zerver.lib.message import MessageDict
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from zerver.lib.users import get_all_api_keys
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from zerver.models import (
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Client,
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Huddle,
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Message,
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Stream,
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UserProfile,
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get_client_cache_key,
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get_stream_cache_key,
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huddle_hash_cache_key,
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)
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MESSAGE_CACHE_SIZE = 75000
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def message_fetch_objects() -> List[Any]:
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try:
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max_id = Message.objects.only('id').order_by("-id")[0].id
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except IndexError:
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return []
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return Message.objects.select_related().filter(~Q(sender__email='tabbott/extra@mit.edu'),
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id__gt=max_id - MESSAGE_CACHE_SIZE)
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def message_cache_items(items_for_remote_cache: Dict[str, Tuple[bytes]],
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message: Message) -> None:
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'''
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Note: this code is untested, and the caller has been
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commented out for a while.
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'''
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key = to_dict_cache_key_id(message.id)
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value = MessageDict.to_dict_uncached([message])[message.id]
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items_for_remote_cache[key] = (value,)
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def user_cache_items(items_for_remote_cache: Dict[str, Tuple[UserProfile]],
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user_profile: UserProfile) -> None:
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for api_key in get_all_api_keys(user_profile):
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items_for_remote_cache[user_profile_by_api_key_cache_key(api_key)] = (user_profile,)
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items_for_remote_cache[user_profile_cache_key(user_profile.email,
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user_profile.realm)] = (user_profile,)
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# We have other user_profile caches, but none of them are on the
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# core serving path for lots of requests.
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def stream_cache_items(items_for_remote_cache: Dict[str, Tuple[Stream]],
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stream: Stream) -> None:
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items_for_remote_cache[get_stream_cache_key(stream.name, stream.realm_id)] = (stream,)
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def client_cache_items(items_for_remote_cache: Dict[str, Tuple[Client]],
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client: Client) -> None:
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items_for_remote_cache[get_client_cache_key(client.name)] = (client,)
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def huddle_cache_items(items_for_remote_cache: Dict[str, Tuple[Huddle]],
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huddle: Huddle) -> None:
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items_for_remote_cache[huddle_hash_cache_key(huddle.huddle_hash)] = (huddle,)
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session_engine = import_module(settings.SESSION_ENGINE)
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def session_cache_items(items_for_remote_cache: Dict[str, str],
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session: Session) -> None:
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if settings.SESSION_ENGINE != "django.contrib.sessions.backends.cached_db":
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# If we're not using the cached_db session engine, we there
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# will be no store.cache_key attribute, and in any case we
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# don't need to fill the cache, since it won't exist.
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return
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store = session_engine.SessionStore(session_key=session.session_key) # type: ignore[attr-defined] # import_module
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items_for_remote_cache[store.cache_key] = store.decode(session.session_data)
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def get_active_realm_ids() -> List[int]:
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"""For installations like Zulip Cloud hosting a lot of realms, it only makes
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sense to do cache-filling work for realms that have any currently
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active users/clients. Otherwise, we end up with every single-user
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trial organization that has ever been created costing us N streams
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worth of cache work (where N is the number of default streams for
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a new organization).
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"""
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date = timezone_now() - datetime.timedelta(days=2)
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return RealmCount.objects.filter(
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end_time__gte=date,
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property="1day_actives::day",
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value__gt=0).distinct("realm_id").values_list("realm_id", flat=True)
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def get_streams() -> List[Stream]:
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return Stream.objects.select_related().filter(
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realm__in=get_active_realm_ids()).exclude(
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# We filter out Zephyr realms, because they can easily
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# have 10,000s of streams with only 1 subscriber.
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is_in_zephyr_realm=True)
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def get_users() -> List[UserProfile]:
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return UserProfile.objects.select_related().filter(
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long_term_idle=False,
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realm__in=get_active_realm_ids())
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# Format is (objects query, items filler function, timeout, batch size)
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#
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# The objects queries are put inside lambdas to prevent Django from
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# doing any setup for things we're unlikely to use (without the lambda
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# wrapper the below adds an extra 3ms or so to startup time for
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# anything importing this file).
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cache_fillers: Dict[str, Tuple[Callable[[], List[Any]], Callable[[Dict[str, Any], Any], None], int, int]] = {
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'user': (get_users, user_cache_items, 3600*24*7, 10000),
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'client': (lambda: Client.objects.select_related().all(), client_cache_items, 3600*24*7, 10000),
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'stream': (get_streams, stream_cache_items, 3600*24*7, 10000),
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# Message cache fetching disabled until we can fix the fact that it
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# does a bunch of inefficient memcached queries as part of filling
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# the display_recipient cache
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# 'message': (message_fetch_objects, message_cache_items, 3600 * 24, 1000),
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'huddle': (lambda: Huddle.objects.select_related().all(), huddle_cache_items, 3600*24*7, 10000),
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'session': (lambda: Session.objects.all(), session_cache_items, 3600*24*7, 10000),
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}
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def fill_remote_cache(cache: str) -> None:
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remote_cache_time_start = get_remote_cache_time()
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remote_cache_requests_start = get_remote_cache_requests()
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items_for_remote_cache: Dict[str, Any] = {}
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(objects, items_filler, timeout, batch_size) = cache_fillers[cache]
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count = 0
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for obj in objects():
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items_filler(items_for_remote_cache, obj)
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count += 1
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if (count % batch_size == 0):
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cache_set_many(items_for_remote_cache, timeout=3600*24)
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items_for_remote_cache = {}
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cache_set_many(items_for_remote_cache, timeout=3600*24*7)
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logging.info("Successfully populated %s cache! Consumed %s remote cache queries (%s time)",
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cache, get_remote_cache_requests() - remote_cache_requests_start,
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round(get_remote_cache_time() - remote_cache_time_start, 2))
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