144 lines
4.8 KiB
Python
144 lines
4.8 KiB
Python
# -*- coding: utf-8 -*-
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# 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 struct
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import threading
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import typing
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from synapse.storage.engines import BaseDatabaseEngine
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if typing.TYPE_CHECKING:
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import sqlite3 # noqa: F401
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class Sqlite3Engine(BaseDatabaseEngine["sqlite3.Connection"]):
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def __init__(self, database_module, database_config):
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super().__init__(database_module, database_config)
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database = database_config.get("args", {}).get("database")
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self._is_in_memory = database in (None, ":memory:",)
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# The current max state_group, or None if we haven't looked
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# in the DB yet.
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self._current_state_group_id = None
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self._current_state_group_id_lock = threading.Lock()
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@property
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def single_threaded(self) -> bool:
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return True
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@property
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def can_native_upsert(self):
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"""
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Do we support native UPSERTs? This requires SQLite3 3.24+, plus some
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more work we haven't done yet to tell what was inserted vs updated.
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"""
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return self.module.sqlite_version_info >= (3, 24, 0)
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@property
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def supports_tuple_comparison(self):
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"""
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Do we support comparing tuples, i.e. `(a, b) > (c, d)`? This requires
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SQLite 3.15+.
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"""
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return self.module.sqlite_version_info >= (3, 15, 0)
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@property
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def supports_using_any_list(self):
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"""Do we support using `a = ANY(?)` and passing a list
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"""
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return False
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def check_database(self, db_conn, allow_outdated_version: bool = False):
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if not allow_outdated_version:
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version = self.module.sqlite_version_info
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if version < (3, 11, 0):
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raise RuntimeError("Synapse requires sqlite 3.11 or above.")
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def check_new_database(self, txn):
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"""Gets called when setting up a brand new database. This allows us to
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apply stricter checks on new databases versus existing database.
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"""
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def convert_param_style(self, sql):
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return sql
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def on_new_connection(self, db_conn):
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# We need to import here to avoid an import loop.
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from synapse.storage.prepare_database import prepare_database
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if self._is_in_memory:
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# In memory databases need to be rebuilt each time. Ideally we'd
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# reuse the same connection as we do when starting up, but that
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# would involve using adbapi before we have started the reactor.
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prepare_database(db_conn, self, config=None)
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db_conn.create_function("rank", 1, _rank)
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def is_deadlock(self, error):
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return False
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def is_connection_closed(self, conn):
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return False
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def lock_table(self, txn, table):
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return
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def get_next_state_group_id(self, txn):
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"""Returns an int that can be used as a new state_group ID
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"""
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# We do application locking here since if we're using sqlite then
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# we are a single process synapse.
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with self._current_state_group_id_lock:
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if self._current_state_group_id is None:
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txn.execute("SELECT COALESCE(max(id), 0) FROM state_groups")
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self._current_state_group_id = txn.fetchone()[0]
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self._current_state_group_id += 1
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return self._current_state_group_id
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@property
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def server_version(self):
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"""Gets a string giving the server version. For example: '3.22.0'
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Returns:
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string
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"""
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return "%i.%i.%i" % self.module.sqlite_version_info
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# Following functions taken from: https://github.com/coleifer/peewee
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def _parse_match_info(buf):
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bufsize = len(buf)
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return [struct.unpack("@I", buf[i : i + 4])[0] for i in range(0, bufsize, 4)]
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def _rank(raw_match_info):
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"""Handle match_info called w/default args 'pcx' - based on the example rank
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function http://sqlite.org/fts3.html#appendix_a
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"""
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match_info = _parse_match_info(raw_match_info)
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score = 0.0
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p, c = match_info[:2]
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for phrase_num in range(p):
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phrase_info_idx = 2 + (phrase_num * c * 3)
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for col_num in range(c):
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col_idx = phrase_info_idx + (col_num * 3)
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x1, x2 = match_info[col_idx : col_idx + 2]
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if x1 > 0:
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score += float(x1) / x2
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return score
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