mirror of https://github.com/zulip/zulip.git
148 lines
5.4 KiB
Python
148 lines
5.4 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 typing import Any, Callable, Dict, Iterable, 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.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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get_stream_cache_key,
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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.sessions import session_engine
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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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Stream,
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UserProfile,
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get_client_cache_key,
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huddle_hash_cache_key,
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)
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def user_cache_items(
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items_for_remote_cache: Dict[str, Tuple[UserProfile]], user_profile: UserProfile
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) -> 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, user_profile.realm)] = (
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user_profile,
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)
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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]], 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]], 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]], huddle: Huddle) -> None:
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items_for_remote_cache[huddle_hash_cache_key(huddle.huddle_hash)] = (huddle,)
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def session_cache_items(items_for_remote_cache: Dict[str, str], 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)
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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 (
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RealmCount.objects.filter(end_time__gte=date, property="1day_actives::day", value__gt=0)
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.distinct("realm_id")
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.values_list("realm_id", flat=True)
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)
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def get_streams() -> List[Stream]:
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return (
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Stream.objects.select_related()
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.filter(realm__in=get_active_realm_ids())
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.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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)
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)
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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, realm__in=get_active_realm_ids()
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)
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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[
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str, Tuple[Callable[[], Iterable[Any]], Callable[[Dict[str, Any], Any], None], int, int]
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] = {
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"user": (get_users, user_cache_items, 3600 * 24 * 7, 10000),
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"client": (
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lambda: Client.objects.select_related().all(),
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client_cache_items,
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3600 * 24 * 7,
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10000,
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),
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"stream": (get_streams, stream_cache_items, 3600 * 24 * 7, 10000),
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"huddle": (
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lambda: Huddle.objects.select_related().all(),
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huddle_cache_items,
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3600 * 24 * 7,
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10000,
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),
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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(
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"Successfully populated %s cache! Consumed %s remote cache queries (%s time)",
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cache,
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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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)
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