zulip/zerver/lib/cache_helpers.py

149 lines
6.5 KiB
Python

# See https://zulip.readthedocs.io/en/latest/subsystems/caching.html for docs
import datetime
import logging
from importlib import import_module
from typing import Any, Callable, Dict, List, Tuple
from django.conf import settings
from django.contrib.sessions.models import Session
from django.db.models import Q
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,
to_dict_cache_key_id,
user_profile_by_api_key_cache_key,
user_profile_cache_key,
)
from zerver.lib.message import MessageDict
from zerver.lib.users import get_all_api_keys
from zerver.models import (
Client,
Huddle,
Message,
Stream,
UserProfile,
get_client_cache_key,
get_stream_cache_key,
huddle_hash_cache_key,
)
MESSAGE_CACHE_SIZE = 75000
def message_fetch_objects() -> List[Any]:
try:
max_id = Message.objects.only('id').order_by("-id")[0].id
except IndexError:
return []
return Message.objects.select_related().filter(~Q(sender__email='tabbott/extra@mit.edu'),
id__gt=max_id - MESSAGE_CACHE_SIZE)
def message_cache_items(items_for_remote_cache: Dict[str, Tuple[bytes]],
message: Message) -> None:
'''
Note: this code is untested, and the caller has been
commented out for a while.
'''
key = to_dict_cache_key_id(message.id)
value = MessageDict.to_dict_uncached([message])[message.id]
items_for_remote_cache[key] = (value,)
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,)
session_engine = import_module(settings.SESSION_ENGINE)
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) # type: ignore[attr-defined] # import_module
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[[], List[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),
# Message cache fetching disabled until we can fix the fact that it
# does a bunch of inefficient memcached queries as part of filling
# the display_recipient cache
# 'message': (message_fetch_objects, message_cache_items, 3600 * 24, 1000),
'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))