zulip/zerver/lib/cache_helpers.py

148 lines
5.4 KiB
Python

# See https://zulip.readthedocs.io/en/latest/subsystems/caching.html for docs
import datetime
import logging
from typing import Any, Callable, Dict, Iterable, List, Tuple
from django.conf import settings
from django.contrib.sessions.models import Session
from django.utils.timezone import now as timezone_now
# This file needs to be different from cache.py because cache.py
# cannot import anything from zerver.models or we'd have an import
# loop
from analytics.models import RealmCount
from zerver.lib.cache import (
cache_set_many,
get_remote_cache_requests,
get_remote_cache_time,
get_stream_cache_key,
user_profile_by_api_key_cache_key,
user_profile_cache_key,
)
from zerver.lib.sessions import session_engine
from zerver.lib.users import get_all_api_keys
from zerver.models import (
Client,
Huddle,
Stream,
UserProfile,
get_client_cache_key,
huddle_hash_cache_key,
)
def user_cache_items(
items_for_remote_cache: Dict[str, Tuple[UserProfile]], user_profile: UserProfile
) -> None:
for api_key in get_all_api_keys(user_profile):
items_for_remote_cache[user_profile_by_api_key_cache_key(api_key)] = (user_profile,)
items_for_remote_cache[user_profile_cache_key(user_profile.email, user_profile.realm)] = (
user_profile,
)
# We have other user_profile caches, but none of them are on the
# core serving path for lots of requests.
def stream_cache_items(items_for_remote_cache: Dict[str, Tuple[Stream]], stream: Stream) -> None:
items_for_remote_cache[get_stream_cache_key(stream.name, stream.realm_id)] = (stream,)
def client_cache_items(items_for_remote_cache: Dict[str, Tuple[Client]], client: Client) -> None:
items_for_remote_cache[get_client_cache_key(client.name)] = (client,)
def huddle_cache_items(items_for_remote_cache: Dict[str, Tuple[Huddle]], huddle: Huddle) -> None:
items_for_remote_cache[huddle_hash_cache_key(huddle.huddle_hash)] = (huddle,)
def session_cache_items(items_for_remote_cache: Dict[str, str], session: Session) -> None:
if settings.SESSION_ENGINE != "django.contrib.sessions.backends.cached_db":
# If we're not using the cached_db session engine, we there
# will be no store.cache_key attribute, and in any case we
# don't need to fill the cache, since it won't exist.
return
store = session_engine.SessionStore(session_key=session.session_key)
items_for_remote_cache[store.cache_key] = store.decode(session.session_data)
def get_active_realm_ids() -> List[int]:
"""For installations like Zulip Cloud hosting a lot of realms, it only makes
sense to do cache-filling work for realms that have any currently
active users/clients. Otherwise, we end up with every single-user
trial organization that has ever been created costing us N streams
worth of cache work (where N is the number of default streams for
a new organization).
"""
date = timezone_now() - datetime.timedelta(days=2)
return (
RealmCount.objects.filter(end_time__gte=date, property="1day_actives::day", value__gt=0)
.distinct("realm_id")
.values_list("realm_id", flat=True)
)
def get_streams() -> List[Stream]:
return (
Stream.objects.select_related()
.filter(realm__in=get_active_realm_ids())
.exclude(
# We filter out Zephyr realms, because they can easily
# have 10,000s of streams with only 1 subscriber.
is_in_zephyr_realm=True
)
)
def get_users() -> List[UserProfile]:
return UserProfile.objects.select_related().filter(
long_term_idle=False, realm__in=get_active_realm_ids()
)
# Format is (objects query, items filler function, timeout, batch size)
#
# The objects queries are put inside lambdas to prevent Django from
# doing any setup for things we're unlikely to use (without the lambda
# wrapper the below adds an extra 3ms or so to startup time for
# anything importing this file).
cache_fillers: Dict[
str, Tuple[Callable[[], Iterable[Any]], Callable[[Dict[str, Any], Any], None], int, int]
] = {
"user": (get_users, user_cache_items, 3600 * 24 * 7, 10000),
"client": (
lambda: Client.objects.select_related().all(),
client_cache_items,
3600 * 24 * 7,
10000,
),
"stream": (get_streams, stream_cache_items, 3600 * 24 * 7, 10000),
"huddle": (
lambda: Huddle.objects.select_related().all(),
huddle_cache_items,
3600 * 24 * 7,
10000,
),
"session": (lambda: Session.objects.all(), session_cache_items, 3600 * 24 * 7, 10000),
}
def fill_remote_cache(cache: str) -> None:
remote_cache_time_start = get_remote_cache_time()
remote_cache_requests_start = get_remote_cache_requests()
items_for_remote_cache: Dict[str, Any] = {}
(objects, items_filler, timeout, batch_size) = cache_fillers[cache]
count = 0
for obj in objects():
items_filler(items_for_remote_cache, obj)
count += 1
if count % batch_size == 0:
cache_set_many(items_for_remote_cache, timeout=3600 * 24)
items_for_remote_cache = {}
cache_set_many(items_for_remote_cache, timeout=3600 * 24 * 7)
logging.info(
"Successfully populated %s cache! Consumed %s remote cache queries (%s time)",
cache,
get_remote_cache_requests() - remote_cache_requests_start,
round(get_remote_cache_time() - remote_cache_time_start, 2),
)