mirror of
https://github.com/matrix-org/synapse.git
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192 lines
7.2 KiB
Python
192 lines
7.2 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 platform
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import sqlite3
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import struct
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import threading
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from typing import TYPE_CHECKING, Any, List, Mapping, Optional
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from synapse.storage.engines import BaseDatabaseEngine
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from synapse.storage.types import Cursor
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if TYPE_CHECKING:
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from synapse.storage.database import LoggingDatabaseConnection
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class Sqlite3Engine(BaseDatabaseEngine[sqlite3.Connection, sqlite3.Cursor]):
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def __init__(self, database_config: Mapping[str, Any]):
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super().__init__(sqlite3, database_config)
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database = database_config.get("args", {}).get("database")
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self._is_in_memory = database in (
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None,
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":memory:",
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)
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# A connection to a database that has already been prepared, to use as a
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# base for an in-memory connection. This is used during unit tests to
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# speed up setting up the DB.
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self._prepped_conn: Optional[sqlite3.Connection] = database_config.get(
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"_TEST_PREPPED_CONN"
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)
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if platform.python_implementation() == "PyPy":
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# pypy's sqlite3 module doesn't handle bytearrays, convert them
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# back to bytes.
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sqlite3.register_adapter(bytearray, lambda array: bytes(array))
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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 supports_using_any_list(self) -> bool:
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"""Do we support using `a = ANY(?)` and passing a list"""
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return False
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@property
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def supports_returning(self) -> bool:
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"""Do we support the `RETURNING` clause in insert/update/delete?"""
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return sqlite3.sqlite_version_info >= (3, 35, 0)
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def check_database(
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self, db_conn: sqlite3.Connection, allow_outdated_version: bool = False
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) -> None:
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if not allow_outdated_version:
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# Synapse is untested against older SQLite versions, and we don't want
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# to let users upgrade to a version of Synapse with broken support for their
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# sqlite version, because it risks leaving them with a half-upgraded db.
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if sqlite3.sqlite_version_info < (3, 27, 0):
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raise RuntimeError("Synapse requires sqlite 3.27 or above.")
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def check_new_database(self, txn: Cursor) -> None:
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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: str) -> str:
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return sql
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def on_new_connection(self, db_conn: "LoggingDatabaseConnection") -> None:
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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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#
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# If we have a `prepped_conn` we can use that to initialise the DB,
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# otherwise we need to call `prepare_database`.
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if self._prepped_conn is not None:
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# Initialise the new DB from the pre-prepared DB.
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assert isinstance(db_conn.conn, sqlite3.Connection)
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self._prepped_conn.backup(db_conn.conn)
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else:
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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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db_conn.execute("PRAGMA foreign_keys = ON;")
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# Enable WAL.
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# see https://www.sqlite.org/wal.html
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db_conn.execute("PRAGMA journal_mode = WAL;")
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db_conn.commit()
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def is_deadlock(self, error: Exception) -> bool:
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return False
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def is_connection_closed(self, conn: sqlite3.Connection) -> bool:
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return False
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def lock_table(self, txn: Cursor, table: str) -> None:
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return
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@property
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def server_version(self) -> str:
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"""Gets a string giving the server version. For example: '3.22.0'."""
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return "%i.%i.%i" % sqlite3.sqlite_version_info
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@property
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def row_id_name(self) -> str:
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return "rowid"
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def in_transaction(self, conn: sqlite3.Connection) -> bool:
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return conn.in_transaction
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def attempt_to_set_autocommit(
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self, conn: sqlite3.Connection, autocommit: bool
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) -> None:
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# Twisted doesn't let us set attributes on the connections, so we can't
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# set the connection to autocommit mode.
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pass
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def attempt_to_set_isolation_level(
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self, conn: sqlite3.Connection, isolation_level: Optional[int]
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) -> None:
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# All transactions are SERIALIZABLE by default in sqlite
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pass
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@staticmethod
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def executescript(cursor: sqlite3.Cursor, script: str) -> None:
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"""Execute a chunk of SQL containing multiple semicolon-delimited statements.
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Python's built-in SQLite driver does not allow you to do this with DBAPI2's
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`execute`:
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> execute() will only execute a single SQL statement. If you try to execute more
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> than one statement with it, it will raise a Warning. Use executescript() if
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> you want to execute multiple SQL statements with one call.
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The script is prefixed with a `BEGIN TRANSACTION`, since the docs for
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`executescript` warn:
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> If there is a pending transaction, an implicit COMMIT statement is executed
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> first. No other implicit transaction control is performed; any transaction
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> control must be added to sql_script.
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"""
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# The implementation of `executescript` can be found at
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# https://github.com/python/cpython/blob/3.11/Modules/_sqlite/cursor.c#L1035.
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cursor.executescript(f"BEGIN TRANSACTION; {script}")
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# Following functions taken from: https://github.com/coleifer/peewee
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def _parse_match_info(buf: bytes) -> List[int]:
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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: bytes) -> float:
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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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