76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
# Copyright 2015, 2016 OpenMarket 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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import json
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import logging
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from synapse.storage.database import LoggingTransaction
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from synapse.storage.engines import BaseDatabaseEngine, PostgresEngine, Sqlite3Engine
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from synapse.storage.prepare_database import get_statements
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logger = logging.getLogger(__name__)
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POSTGRES_TABLE = """
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CREATE TABLE IF NOT EXISTS event_search (
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event_id TEXT,
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room_id TEXT,
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sender TEXT,
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key TEXT,
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vector tsvector
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);
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CREATE INDEX event_search_fts_idx ON event_search USING gin(vector);
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CREATE INDEX event_search_ev_idx ON event_search(event_id);
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CREATE INDEX event_search_ev_ridx ON event_search(room_id);
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"""
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SQLITE_TABLE = (
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"CREATE VIRTUAL TABLE event_search"
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" USING fts4 ( event_id, room_id, sender, key, value )"
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)
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def run_create(cur: LoggingTransaction, database_engine: BaseDatabaseEngine) -> None:
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if isinstance(database_engine, PostgresEngine):
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for statement in get_statements(POSTGRES_TABLE.splitlines()):
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cur.execute(statement)
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elif isinstance(database_engine, Sqlite3Engine):
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cur.execute(SQLITE_TABLE)
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else:
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raise Exception("Unrecognized database engine")
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cur.execute("SELECT MIN(stream_ordering) FROM events")
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rows = cur.fetchall()
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min_stream_id = rows[0][0]
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cur.execute("SELECT MAX(stream_ordering) FROM events")
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rows = cur.fetchall()
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max_stream_id = rows[0][0]
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if min_stream_id is not None and max_stream_id is not None:
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progress = {
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"target_min_stream_id_inclusive": min_stream_id,
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"max_stream_id_exclusive": max_stream_id + 1,
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"rows_inserted": 0,
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}
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progress_json = json.dumps(progress)
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sql = (
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"INSERT into background_updates (update_name, progress_json)"
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" VALUES (?, ?)"
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)
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cur.execute(sql, ("event_search", progress_json))
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