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102988e430
The fact that we were dumping this cache and not refilling it seems to be one of the causes of Tornado restarts being a lot slower on prod than on local systems. (imported from commit a32a759f4dfb591706ede1cce2d38f5c3704193c)
79 lines
3.7 KiB
Python
79 lines
3.7 KiB
Python
from __future__ import absolute_import
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# This file needs to be different from cache.py because cache.py
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# cannot import anything from zephyr.models or we'd have an import
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# loop
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from django.conf import settings
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from zephyr.models import Message, UserProfile, Stream, get_stream_cache_key, \
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Recipient, get_recipient_cache_key, Client, get_client_cache_key, \
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Huddle, huddle_hash_cache_key
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from zephyr.lib.cache import cache_with_key, djcache, message_cache_key, \
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user_profile_by_email_cache_key, user_profile_by_id_cache_key
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from django.utils.importlib import import_module
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from django.contrib.sessions.models import Session
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import logging
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from django.db import connection
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MESSAGE_CACHE_SIZE = 25000
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def cache_save_message(message):
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djcache.set(message_cache_key(message.id), (message,), timeout=3600*24)
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@cache_with_key(message_cache_key, timeout=3600*24)
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def cache_get_message(message_id):
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return Message.objects.select_related().get(id=message_id)
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def message_cache_items(items_for_memcached, message):
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items_for_memcached[message_cache_key(message.id)] = (message,)
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def user_cache_items(items_for_memcached, user_profile):
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items_for_memcached[user_profile_by_email_cache_key(user_profile.email)] = (user_profile,)
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items_for_memcached[user_profile_by_id_cache_key(user_profile.id)] = (user_profile,)
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def stream_cache_items(items_for_memcached, stream):
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items_for_memcached[get_stream_cache_key(stream.name, stream.realm_id)] = (stream,)
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def client_cache_items(items_for_memcached, client):
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items_for_memcached[get_client_cache_key(client.name)] = (client,)
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def huddle_cache_items(items_for_memcached, huddle):
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items_for_memcached[huddle_hash_cache_key(huddle.huddle_hash)] = (huddle,)
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def recipient_cache_items(items_for_memcached, recipient):
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items_for_memcached[get_recipient_cache_key(recipient.type, recipient.type_id)] = (recipient,)
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session_engine = import_module(settings.SESSION_ENGINE)
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def session_cache_items(items_for_memcached, session):
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store = session_engine.SessionStore(session_key=session.session_key)
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items_for_memcached[store.cache_key] = store.decode(session.session_data)
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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 = {
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'user': (lambda: UserProfile.objects.select_related().all(), 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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'recipient': (lambda: Recipient.objects.select_related().all(), recipient_cache_items, 3600*24*7, 10000),
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'stream': (lambda: Stream.objects.select_related().all(), stream_cache_items, 3600*24*7, 10000),
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'message': (lambda: Message.objects.select_related().all().order_by("-id")[0:MESSAGE_CACHE_SIZE],
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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_memcached_cache(cache):
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items_for_memcached = {}
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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_memcached, obj)
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count += 1
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if (count % batch_size == 0):
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djcache.set_many(items_for_memcached, timeout=3600*24)
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items_for_memcached = {}
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djcache.set_many(items_for_memcached, timeout=3600*24*7)
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logging.info("Succesfully populated %s cache!" % (cache,))
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