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60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2014-2016 OpenMarket Ltd
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# Copyright 2018,2019 New Vector Ltd
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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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"""
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The storage layer is split up into multiple parts to allow Synapse to run
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against different configurations of databases (e.g. single or multiple
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databases). The `data_stores` are classes that talk directly to a single
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database and have associated schemas, background updates, etc. On top of those
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there are (or will be) classes that provide high level interfaces that combine
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calls to multiple `data_stores`.
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There are also schemas that get applied to every database, regardless of the
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data stores associated with them (e.g. the schema version tables), which are
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stored in `synapse.storage.schema`.
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"""
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from synapse.storage.data_stores import DataStores
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from synapse.storage.data_stores.main import DataStore
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from synapse.storage.persist_events import EventsPersistenceStorage
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__all__ = ["DataStores", "DataStore"]
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class Storage(object):
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"""The high level interfaces for talking to various storage layers.
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"""
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def __init__(self, hs, stores: DataStores):
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# We include the main data store here mainly so that we don't have to
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# rewrite all the existing code to split it into high vs low level
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# interfaces.
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self.main = stores.main
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self.persistence = EventsPersistenceStorage(hs, stores)
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def are_all_users_on_domain(txn, database_engine, domain):
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sql = database_engine.convert_param_style(
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"SELECT COUNT(*) FROM users WHERE name NOT LIKE ?"
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)
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pat = "%:" + domain
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txn.execute(sql, (pat,))
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num_not_matching = txn.fetchall()[0][0]
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if num_not_matching == 0:
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return True
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return False
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