# See https://zulip.readthedocs.io/en/latest/subsystems/caching.html for docs import logging from datetime import timedelta from typing import Any, Callable, Dict, Iterable, Tuple from django.conf import settings from django.contrib.sessions.models import Session from django.db import connection from django.db.models import QuerySet from django.utils.timezone import now as timezone_now from django_stubs_ext import ValuesQuerySet # 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, user_profile_by_api_key_cache_key, user_profile_cache_key_id, ) from zerver.lib.safe_session_cached_db import SessionStore from zerver.lib.sessions import session_engine from zerver.lib.users import get_all_api_keys from zerver.models import Client, UserProfile from zerver.models.clients import get_client_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_id(user_profile.email, user_profile.realm_id)] = ( user_profile, ) # We have other user_profile caches, but none of them are on the # core serving path for lots of requests. 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 session_cache_items( items_for_remote_cache: Dict[str, Dict[str, object]], session: Session ) -> None: if settings.SESSION_ENGINE != "zerver.lib.safe_session_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) assert isinstance(store, SessionStore) items_for_remote_cache[store.cache_key] = store.decode(session.session_data) def get_active_realm_ids() -> ValuesQuerySet[RealmCount, 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() - 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_users() -> QuerySet[UserProfile]: return UserProfile.objects.select_related("realm", "bot_owner").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": ( Client.objects.all, client_cache_items, 3600 * 24 * 7, 10000, ), "session": (Session.objects.all, session_cache_items, 3600 * 24 * 7, 10000), } class SQLQueryCounter: def __init__(self) -> None: self.count = 0 def __call__( self, execute: Callable[[str, Any, bool, Dict[str, Any]], Any], sql: str, params: Any, many: bool, context: Dict[str, Any], ) -> Any: self.count += 1 return execute(sql, params, many, context) 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 db_query_counter = SQLQueryCounter() with connection.execute_wrapper(db_query_counter): 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: %d items, %d DB queries, %d memcached sets, %.2f seconds", cache, count, db_query_counter.count, get_remote_cache_requests() - remote_cache_requests_start, get_remote_cache_time() - remote_cache_time_start, )