2014-08-12 10:10:52 -04:00
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# -*- coding: utf-8 -*-
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2016-01-06 23:26:29 -05:00
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# Copyright 2014-2016 OpenMarket Ltd
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2018-02-23 05:39:19 -05:00
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# Copyright 2018 New Vector Ltd
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2014-08-12 10:10:52 -04:00
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2018-04-25 12:37:29 -04:00
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import datetime
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import time
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import logging
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2016-07-15 08:19:07 -04:00
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from synapse.storage.devices import DeviceStore
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2015-03-09 13:01:19 -04:00
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from .appservice import (
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ApplicationServiceStore, ApplicationServiceTransactionStore
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)
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2014-08-12 10:10:52 -04:00
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from .directory import DirectoryStore
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2015-03-20 09:52:56 -04:00
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from .events import EventsStore
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from .presence import PresenceStore, UserPresenceState
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2014-08-12 10:10:52 -04:00
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from .profile import ProfileStore
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from .registration import RegistrationStore
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from .room import RoomStore
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from .roommember import RoomMemberStore
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from .stream import StreamStore
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from .transactions import TransactionStore
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2014-08-28 13:19:47 -04:00
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from .keys import KeyStore
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from .event_federation import EventFederationStore
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from .pusher import PusherStore
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from .push_rule import PushRuleStore
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from .media_repository import MediaRepositoryStore
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from .rejections import RejectionsStore
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from .event_push_actions import EventPushActionsStore
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from .deviceinbox import DeviceInboxStore
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from .group_server import GroupServerStore
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from .state import StateStore
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from .signatures import SignatureStore
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from .filtering import FilteringStore
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from .end_to_end_keys import EndToEndKeyStore
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from .receipts import ReceiptsStore
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from .search import SearchStore
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from .tags import TagsStore
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from .account_data import AccountDataStore
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from .openid import OpenIdStore
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from .client_ips import ClientIpStore
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from .user_directory import UserDirectoryStore
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from .util.id_generators import IdGenerator, StreamIdGenerator, ChainedIdGenerator
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from .engines import PostgresEngine
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from synapse.api.constants import PresenceState
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from synapse.util.caches.stream_change_cache import StreamChangeCache
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2014-08-19 09:20:03 -04:00
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logger = logging.getLogger(__name__)
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2014-09-10 10:42:15 -04:00
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class DataStore(RoomMemberStore, RoomStore,
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RegistrationStore, StreamStore, ProfileStore,
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PresenceStore, TransactionStore,
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DirectoryStore, KeyStore, StateStore, SignatureStore,
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ApplicationServiceStore,
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EventFederationStore,
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MediaRepositoryStore,
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RejectionsStore,
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FilteringStore,
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PusherStore,
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PushRuleStore,
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ApplicationServiceTransactionStore,
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EventsStore,
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ReceiptsStore,
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EndToEndKeyStore,
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SearchStore,
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TagsStore,
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AccountDataStore,
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EventPushActionsStore,
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OpenIdStore,
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ClientIpStore,
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DeviceStore,
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DeviceInboxStore,
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UserDirectoryStore,
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GroupServerStore,
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):
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2016-01-28 09:32:05 -05:00
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def __init__(self, db_conn, hs):
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self.hs = hs
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self._clock = hs.get_clock()
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self.database_engine = hs.database_engine
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2016-01-26 10:51:06 -05:00
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self._stream_id_gen = StreamIdGenerator(
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db_conn, "events", "stream_ordering",
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extra_tables=[("local_invites", "stream_id")]
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)
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self._backfill_id_gen = StreamIdGenerator(
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db_conn, "events", "stream_ordering", step=-1,
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extra_tables=[("ex_outlier_stream", "event_stream_ordering")]
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)
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self._presence_id_gen = StreamIdGenerator(
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db_conn, "presence_stream", "stream_id"
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)
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self._device_inbox_id_gen = StreamIdGenerator(
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db_conn, "device_max_stream_id", "stream_id"
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)
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self._public_room_id_gen = StreamIdGenerator(
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db_conn, "public_room_list_stream", "stream_id"
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)
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self._device_list_id_gen = StreamIdGenerator(
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db_conn, "device_lists_stream", "stream_id",
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)
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self._transaction_id_gen = IdGenerator(db_conn, "sent_transactions", "id")
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self._access_tokens_id_gen = IdGenerator(db_conn, "access_tokens", "id")
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self._event_reports_id_gen = IdGenerator(db_conn, "event_reports", "id")
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self._push_rule_id_gen = IdGenerator(db_conn, "push_rules", "id")
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self._push_rules_enable_id_gen = IdGenerator(db_conn, "push_rules_enable", "id")
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self._push_rules_stream_id_gen = ChainedIdGenerator(
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self._stream_id_gen, db_conn, "push_rules_stream", "stream_id"
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)
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self._pushers_id_gen = StreamIdGenerator(
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db_conn, "pushers", "id",
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extra_tables=[("deleted_pushers", "stream_id")],
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)
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self._group_updates_id_gen = StreamIdGenerator(
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db_conn, "local_group_updates", "stream_id",
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)
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if isinstance(self.database_engine, PostgresEngine):
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self._cache_id_gen = StreamIdGenerator(
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db_conn, "cache_invalidation_stream", "stream_id",
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)
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else:
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self._cache_id_gen = None
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self._presence_on_startup = self._get_active_presence(db_conn)
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presence_cache_prefill, min_presence_val = self._get_cache_dict(
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db_conn, "presence_stream",
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entity_column="user_id",
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stream_column="stream_id",
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max_value=self._presence_id_gen.get_current_token(),
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)
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self.presence_stream_cache = StreamChangeCache(
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"PresenceStreamChangeCache", min_presence_val,
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prefilled_cache=presence_cache_prefill
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)
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2016-09-07 10:27:07 -04:00
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max_device_inbox_id = self._device_inbox_id_gen.get_current_token()
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device_inbox_prefill, min_device_inbox_id = self._get_cache_dict(
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db_conn, "device_inbox",
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entity_column="user_id",
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stream_column="stream_id",
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max_value=max_device_inbox_id,
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limit=1000,
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)
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self._device_inbox_stream_cache = StreamChangeCache(
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"DeviceInboxStreamChangeCache", min_device_inbox_id,
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prefilled_cache=device_inbox_prefill,
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)
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# The federation outbox and the local device inbox uses the same
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# stream_id generator.
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device_outbox_prefill, min_device_outbox_id = self._get_cache_dict(
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db_conn, "device_federation_outbox",
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entity_column="destination",
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stream_column="stream_id",
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max_value=max_device_inbox_id,
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limit=1000,
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)
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self._device_federation_outbox_stream_cache = StreamChangeCache(
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"DeviceFederationOutboxStreamChangeCache", min_device_outbox_id,
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prefilled_cache=device_outbox_prefill,
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)
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2017-01-25 09:27:27 -05:00
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device_list_max = self._device_list_id_gen.get_current_token()
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self._device_list_stream_cache = StreamChangeCache(
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"DeviceListStreamChangeCache", device_list_max,
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)
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self._device_list_federation_stream_cache = StreamChangeCache(
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"DeviceListFederationStreamChangeCache", device_list_max,
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)
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2018-03-01 11:23:48 -05:00
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events_max = self._stream_id_gen.get_current_token()
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2017-05-31 10:46:36 -04:00
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curr_state_delta_prefill, min_curr_state_delta_id = self._get_cache_dict(
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db_conn, "current_state_delta_stream",
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entity_column="room_id",
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stream_column="stream_id",
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max_value=events_max, # As we share the stream id with events token
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limit=1000,
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)
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self._curr_state_delta_stream_cache = StreamChangeCache(
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"_curr_state_delta_stream_cache", min_curr_state_delta_id,
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prefilled_cache=curr_state_delta_prefill,
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)
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2017-07-10 09:53:19 -04:00
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_group_updates_prefill, min_group_updates_id = self._get_cache_dict(
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db_conn, "local_group_updates",
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entity_column="user_id",
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stream_column="stream_id",
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max_value=self._group_updates_id_gen.get_current_token(),
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limit=1000,
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)
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self._group_updates_stream_cache = StreamChangeCache(
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"_group_updates_stream_cache", min_group_updates_id,
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prefilled_cache=_group_updates_prefill,
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)
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self._stream_order_on_start = self.get_room_max_stream_ordering()
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self._min_stream_order_on_start = self.get_room_min_stream_ordering()
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super(DataStore, self).__init__(db_conn, hs)
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def take_presence_startup_info(self):
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active_on_startup = self._presence_on_startup
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self._presence_on_startup = None
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return active_on_startup
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def _get_active_presence(self, db_conn):
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"""Fetch non-offline presence from the database so that we can register
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the appropriate time outs.
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"""
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sql = (
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"SELECT user_id, state, last_active_ts, last_federation_update_ts,"
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" last_user_sync_ts, status_msg, currently_active FROM presence_stream"
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" WHERE state != ?"
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)
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sql = self.database_engine.convert_param_style(sql)
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txn = db_conn.cursor()
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txn.execute(sql, (PresenceState.OFFLINE,))
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rows = self.cursor_to_dict(txn)
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txn.close()
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for row in rows:
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row["currently_active"] = bool(row["currently_active"])
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return [UserPresenceState(**row) for row in rows]
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def count_daily_users(self):
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"""
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Counts the number of users who used this homeserver in the last 24 hours.
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"""
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def _count_users(txn):
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yesterday = int(self._clock.time_msec()) - (1000 * 60 * 60 * 24)
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sql = """
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SELECT COALESCE(count(*), 0) FROM (
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SELECT user_id FROM user_ips
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WHERE last_seen > ?
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GROUP BY user_id
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) u
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"""
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txn.execute(sql, (yesterday,))
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count, = txn.fetchone()
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return count
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return self.runInteraction("count_users", _count_users)
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def count_r30_users(self):
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"""
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Counts the number of 30 day retained users, defined as:-
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* Users who have created their accounts more than 30 days ago
|
2018-03-28 05:39:13 -04:00
|
|
|
* Where last seen at most 30 days ago
|
2018-04-10 12:38:16 -04:00
|
|
|
* Where account creation and last_seen are > 30 days apart
|
2018-03-29 11:45:34 -04:00
|
|
|
|
|
|
|
Returns counts globaly for a given user as well as breaking
|
|
|
|
by platform
|
2018-03-28 05:39:13 -04:00
|
|
|
"""
|
|
|
|
def _count_r30_users(txn):
|
|
|
|
thirty_days_in_secs = 86400 * 30
|
2018-04-09 13:43:48 -04:00
|
|
|
now = int(self._clock.time())
|
|
|
|
thirty_days_ago_in_secs = now - thirty_days_in_secs
|
2018-04-09 13:44:20 -04:00
|
|
|
|
2018-03-29 11:45:34 -04:00
|
|
|
sql = """
|
|
|
|
SELECT platform, COALESCE(count(*), 0) FROM (
|
2018-04-05 07:16:46 -04:00
|
|
|
SELECT
|
|
|
|
users.name, platform, users.creation_ts * 1000,
|
|
|
|
MAX(uip.last_seen)
|
2018-03-29 11:45:34 -04:00
|
|
|
FROM users
|
|
|
|
INNER JOIN (
|
|
|
|
SELECT
|
|
|
|
user_id,
|
|
|
|
last_seen,
|
|
|
|
CASE
|
2018-04-09 12:50:36 -04:00
|
|
|
WHEN user_agent LIKE '%%Android%%' THEN 'android'
|
|
|
|
WHEN user_agent LIKE '%%iOS%%' THEN 'ios'
|
|
|
|
WHEN user_agent LIKE '%%Electron%%' THEN 'electron'
|
|
|
|
WHEN user_agent LIKE '%%Mozilla%%' THEN 'web'
|
|
|
|
WHEN user_agent LIKE '%%Gecko%%' THEN 'web'
|
2018-03-29 11:45:34 -04:00
|
|
|
ELSE 'unknown'
|
|
|
|
END
|
|
|
|
AS platform
|
|
|
|
FROM user_ips
|
|
|
|
) uip
|
|
|
|
ON users.name = uip.user_id
|
|
|
|
AND users.appservice_id is NULL
|
|
|
|
AND users.creation_ts < ?
|
|
|
|
AND uip.last_seen/1000 > ?
|
|
|
|
AND (uip.last_seen/1000) - users.creation_ts > 86400 * 30
|
|
|
|
GROUP BY users.name, platform, users.creation_ts
|
|
|
|
) u GROUP BY platform
|
|
|
|
"""
|
|
|
|
|
|
|
|
results = {}
|
|
|
|
txn.execute(sql, (thirty_days_ago_in_secs,
|
|
|
|
thirty_days_ago_in_secs))
|
2018-04-05 07:16:46 -04:00
|
|
|
|
|
|
|
for row in txn:
|
2018-03-29 11:45:34 -04:00
|
|
|
if row[0] is 'unknown':
|
|
|
|
pass
|
|
|
|
results[row[0]] = row[1]
|
2018-03-28 09:36:53 -04:00
|
|
|
|
2018-03-28 05:39:13 -04:00
|
|
|
sql = """
|
|
|
|
SELECT COALESCE(count(*), 0) FROM (
|
2018-03-29 12:27:39 -04:00
|
|
|
SELECT users.name, users.creation_ts * 1000,
|
|
|
|
MAX(uip.last_seen)
|
2018-03-29 11:45:34 -04:00
|
|
|
FROM users
|
|
|
|
INNER JOIN (
|
|
|
|
SELECT
|
|
|
|
user_id,
|
|
|
|
last_seen
|
|
|
|
FROM user_ips
|
|
|
|
) uip
|
|
|
|
ON users.name = uip.user_id
|
2018-03-28 05:39:13 -04:00
|
|
|
AND appservice_id is NULL
|
|
|
|
AND users.creation_ts < ?
|
2018-03-29 11:45:34 -04:00
|
|
|
AND uip.last_seen/1000 > ?
|
|
|
|
AND (uip.last_seen/1000) - users.creation_ts > 86400 * 30
|
|
|
|
GROUP BY users.name, users.creation_ts
|
|
|
|
) u
|
2018-03-28 05:39:13 -04:00
|
|
|
"""
|
|
|
|
|
2018-03-29 11:45:34 -04:00
|
|
|
txn.execute(sql, (thirty_days_ago_in_secs,
|
|
|
|
thirty_days_ago_in_secs))
|
|
|
|
|
|
|
|
count, = txn.fetchone()
|
|
|
|
results['all'] = count
|
2018-03-28 09:36:53 -04:00
|
|
|
|
|
|
|
return results
|
2018-03-28 05:39:13 -04:00
|
|
|
|
2018-03-28 11:25:53 -04:00
|
|
|
return self.runInteraction("count_r30_users", _count_r30_users)
|
2018-03-28 05:39:13 -04:00
|
|
|
|
2018-04-25 12:37:29 -04:00
|
|
|
def generate_user_daily_visits(self):
|
|
|
|
"""
|
|
|
|
Generates daily visit data for use in cohort/ retention analysis
|
|
|
|
"""
|
|
|
|
def _generate_user_daily_visits(txn):
|
|
|
|
logger.info("Calling _generate_user_daily_visits")
|
|
|
|
# determine timestamp of previous days
|
|
|
|
yesterday = datetime.datetime.now() - datetime.timedelta(days=1)
|
|
|
|
yesterday_start = datetime.datetime(yesterday.year,
|
|
|
|
yesterday.month,
|
|
|
|
yesterday.day, 0, 0, 0, 0)
|
|
|
|
yesterday_start_time = int(time.mktime(yesterday_start.timetuple())) * 1000
|
|
|
|
|
|
|
|
# Check that this job has not already been completed
|
|
|
|
sql = """
|
|
|
|
SELECT timestamp
|
|
|
|
FROM user_daily_visits
|
|
|
|
ORDER by timestamp desc limit 1
|
|
|
|
"""
|
|
|
|
txn.execute(sql)
|
|
|
|
row = txn.fetchone()
|
|
|
|
|
|
|
|
# Bail if the most recent time is yesterday
|
|
|
|
if row and row[0] == yesterday_start_time:
|
|
|
|
logger.info("Bailing from _generate_user_daily_visits, already completed")
|
|
|
|
return
|
|
|
|
logger.info("inserting into user_daily_visits")
|
|
|
|
# Not specificying an upper bound means that if the update is run at
|
|
|
|
# 10 mins past midnight and the user is active during a 30 min session
|
|
|
|
# that the user is still included in the previous days stats
|
|
|
|
# This does mean that if the update is run hours late, then it is possible
|
|
|
|
# to overstate the cohort, but this seems a reasonable trade off
|
|
|
|
# The alternative is to insert on every request - but prefer to avoid
|
|
|
|
# for performance reasons
|
|
|
|
sql = """
|
|
|
|
SELECT user_id, user_agent, device_id
|
|
|
|
FROM user_ips
|
|
|
|
WHERE last_seen > ?
|
|
|
|
"""
|
|
|
|
txn.execute(sql, (yesterday_start_time,))
|
|
|
|
|
|
|
|
sql = """
|
2018-04-25 12:56:11 -04:00
|
|
|
INSERT INTO user_daily_visits (user_id. user_agent,
|
|
|
|
device_id, timestamp)
|
2018-04-25 12:37:29 -04:00
|
|
|
VALUES (?, ?, ?, ?)
|
|
|
|
"""
|
|
|
|
|
|
|
|
for row in txn:
|
|
|
|
txn.execute(sql, (row + (yesterday_start_time,)))
|
|
|
|
|
2018-04-25 12:56:11 -04:00
|
|
|
return self.runInteraction("generate_user_daily_visits",
|
|
|
|
_generate_user_daily_visits)
|
2018-04-25 12:37:29 -04:00
|
|
|
|
2017-02-02 08:02:26 -05:00
|
|
|
def get_users(self):
|
|
|
|
"""Function to reterive a list of users in users table.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
Returns:
|
|
|
|
defer.Deferred: resolves to list[dict[str, Any]]
|
|
|
|
"""
|
|
|
|
return self._simple_select_list(
|
|
|
|
table="users",
|
|
|
|
keyvalues={},
|
|
|
|
retcols=[
|
|
|
|
"name",
|
|
|
|
"password_hash",
|
|
|
|
"is_guest",
|
|
|
|
"admin"
|
|
|
|
],
|
|
|
|
desc="get_users",
|
|
|
|
)
|
|
|
|
|
|
|
|
def get_users_paginate(self, order, start, limit):
|
|
|
|
"""Function to reterive a paginated list of users from
|
|
|
|
users list. This will return a json object, which contains
|
|
|
|
list of users and the total number of users in users table.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
order (str): column name to order the select by this column
|
|
|
|
start (int): start number to begin the query from
|
|
|
|
limit (int): number of rows to reterive
|
|
|
|
Returns:
|
|
|
|
defer.Deferred: resolves to json object {list[dict[str, Any]], count}
|
|
|
|
"""
|
|
|
|
is_guest = 0
|
|
|
|
i_start = (int)(start)
|
|
|
|
i_limit = (int)(limit)
|
|
|
|
return self.get_user_list_paginate(
|
|
|
|
table="users",
|
|
|
|
keyvalues={
|
|
|
|
"is_guest": is_guest
|
|
|
|
},
|
|
|
|
pagevalues=[
|
|
|
|
order,
|
|
|
|
i_limit,
|
|
|
|
i_start
|
|
|
|
],
|
|
|
|
retcols=[
|
|
|
|
"name",
|
|
|
|
"password_hash",
|
|
|
|
"is_guest",
|
|
|
|
"admin"
|
|
|
|
],
|
|
|
|
desc="get_users_paginate",
|
|
|
|
)
|
|
|
|
|
|
|
|
def search_users(self, term):
|
|
|
|
"""Function to search users list for one or more users with
|
|
|
|
the matched term.
|
|
|
|
|
|
|
|
Args:
|
|
|
|
term (str): search term
|
|
|
|
col (str): column to query term should be matched to
|
|
|
|
Returns:
|
|
|
|
defer.Deferred: resolves to list[dict[str, Any]]
|
|
|
|
"""
|
|
|
|
return self._simple_search_list(
|
|
|
|
table="users",
|
|
|
|
term=term,
|
|
|
|
col="name",
|
|
|
|
retcols=[
|
|
|
|
"name",
|
|
|
|
"password_hash",
|
|
|
|
"is_guest",
|
|
|
|
"admin"
|
|
|
|
],
|
|
|
|
desc="search_users",
|
|
|
|
)
|
|
|
|
|
2014-08-22 12:00:10 -04:00
|
|
|
|
2015-04-28 08:39:42 -04:00
|
|
|
def are_all_users_on_domain(txn, database_engine, domain):
|
|
|
|
sql = database_engine.convert_param_style(
|
|
|
|
"SELECT COUNT(*) FROM users WHERE name NOT LIKE ?"
|
|
|
|
)
|
2015-04-27 06:46:00 -04:00
|
|
|
pat = "%:" + domain
|
2015-04-28 08:39:42 -04:00
|
|
|
txn.execute(sql, (pat,))
|
|
|
|
num_not_matching = txn.fetchall()[0][0]
|
2015-04-27 06:46:00 -04:00
|
|
|
if num_not_matching == 0:
|
|
|
|
return True
|
2015-04-27 06:49:18 -04:00
|
|
|
return False
|