synapse-product/synapse/storage/databases/main/transactions.py

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# -*- coding: utf-8 -*-
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# Copyright 2014-2016 OpenMarket Ltd
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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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import logging
from collections import namedtuple
from typing import Iterable, List, Optional, Tuple
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from canonicaljson import encode_canonical_json
from synapse.metrics.background_process_metrics import run_as_background_process
from synapse.storage._base import SQLBaseStore, db_to_json
from synapse.storage.database import DatabasePool, LoggingTransaction
from synapse.storage.engines import PostgresEngine, Sqlite3Engine
from synapse.types import JsonDict
from synapse.util.caches.expiringcache import ExpiringCache
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db_binary_type = memoryview
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logger = logging.getLogger(__name__)
_TransactionRow = namedtuple(
"_TransactionRow",
("id", "transaction_id", "destination", "ts", "response_code", "response_json"),
)
_UpdateTransactionRow = namedtuple(
"_TransactionRow", ("response_code", "response_json")
)
SENTINEL = object()
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class TransactionStore(SQLBaseStore):
"""A collection of queries for handling PDUs.
"""
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def __init__(self, database: DatabasePool, db_conn, hs):
super(TransactionStore, self).__init__(database, db_conn, hs)
self._clock.looping_call(self._start_cleanup_transactions, 30 * 60 * 1000)
self._destination_retry_cache = ExpiringCache(
cache_name="get_destination_retry_timings",
clock=self._clock,
expiry_ms=5 * 60 * 1000,
)
async def get_received_txn_response(
self, transaction_id: str, origin: str
) -> Optional[Tuple[int, JsonDict]]:
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"""For an incoming transaction from a given origin, check if we have
already responded to it. If so, return the response code and response
body (as a dict).
Args:
transaction_id
origin
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Returns:
None if we have not previously responded to this transaction or a
2-tuple of (int, dict)
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"""
return await self.db_pool.runInteraction(
"get_received_txn_response",
self._get_received_txn_response,
transaction_id,
origin,
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)
def _get_received_txn_response(self, txn, transaction_id, origin):
result = self.db_pool.simple_select_one_txn(
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txn,
table="received_transactions",
keyvalues={"transaction_id": transaction_id, "origin": origin},
retcols=(
"transaction_id",
"origin",
"ts",
"response_code",
"response_json",
"has_been_referenced",
),
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allow_none=True,
)
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if result and result["response_code"]:
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return result["response_code"], db_to_json(result["response_json"])
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else:
return None
async def set_received_txn_response(
self, transaction_id: str, origin: str, code: int, response_dict: JsonDict
) -> None:
"""Persist the response we returned for an incoming transaction, and
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should return for subsequent transactions with the same transaction_id
and origin.
Args:
transaction_id: The incoming transaction ID.
origin: The origin server.
code: The response code.
response_dict: The response, to be encoded into JSON.
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"""
await self.db_pool.simple_insert(
table="received_transactions",
values={
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"transaction_id": transaction_id,
"origin": origin,
"response_code": code,
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"response_json": db_binary_type(encode_canonical_json(response_dict)),
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"ts": self._clock.time_msec(),
},
or_ignore=True,
desc="set_received_txn_response",
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)
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async def get_destination_retry_timings(self, destination):
"""Gets the current retry timings (if any) for a given destination.
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Args:
destination (str)
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Returns:
None if not retrying
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Otherwise a dict for the retry scheme
"""
result = self._destination_retry_cache.get(destination, SENTINEL)
if result is not SENTINEL:
return result
result = await self.db_pool.runInteraction(
"get_destination_retry_timings",
self._get_destination_retry_timings,
destination,
)
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# We don't hugely care about race conditions between getting and
# invalidating the cache, since we time out fairly quickly anyway.
self._destination_retry_cache[destination] = result
return result
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def _get_destination_retry_timings(self, txn, destination):
result = self.db_pool.simple_select_one_txn(
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txn,
table="destinations",
keyvalues={"destination": destination},
retcols=("destination", "failure_ts", "retry_last_ts", "retry_interval"),
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allow_none=True,
)
# check we have a row and retry_last_ts is not null or zero
# (retry_last_ts can't be negative)
if result and result["retry_last_ts"]:
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return result
else:
return None
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async def set_destination_retry_timings(
self,
destination: str,
failure_ts: Optional[int],
retry_last_ts: int,
retry_interval: int,
) -> None:
"""Sets the current retry timings for a given destination.
Both timings should be zero if retrying is no longer occuring.
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Args:
destination
failure_ts: when the server started failing (ms since epoch)
retry_last_ts: time of last retry attempt in unix epoch ms
retry_interval: how long until next retry in ms
"""
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self._destination_retry_cache.pop(destination, None)
return await self.db_pool.runInteraction(
"set_destination_retry_timings",
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self._set_destination_retry_timings,
destination,
failure_ts,
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retry_last_ts,
retry_interval,
)
def _set_destination_retry_timings(
self, txn, destination, failure_ts, retry_last_ts, retry_interval
):
if self.database_engine.can_native_upsert:
# Upsert retry time interval if retry_interval is zero (i.e. we're
# resetting it) or greater than the existing retry interval.
sql = """
INSERT INTO destinations (
destination, failure_ts, retry_last_ts, retry_interval
)
VALUES (?, ?, ?, ?)
ON CONFLICT (destination) DO UPDATE SET
failure_ts = EXCLUDED.failure_ts,
retry_last_ts = EXCLUDED.retry_last_ts,
retry_interval = EXCLUDED.retry_interval
WHERE
EXCLUDED.retry_interval = 0
OR destinations.retry_interval < EXCLUDED.retry_interval
"""
txn.execute(sql, (destination, failure_ts, retry_last_ts, retry_interval))
return
self.database_engine.lock_table(txn, "destinations")
# We need to be careful here as the data may have changed from under us
# due to a worker setting the timings.
prev_row = self.db_pool.simple_select_one_txn(
txn,
table="destinations",
keyvalues={"destination": destination},
retcols=("failure_ts", "retry_last_ts", "retry_interval"),
allow_none=True,
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)
if not prev_row:
self.db_pool.simple_insert_txn(
txn,
table="destinations",
values={
"destination": destination,
"failure_ts": failure_ts,
"retry_last_ts": retry_last_ts,
"retry_interval": retry_interval,
},
)
elif retry_interval == 0 or prev_row["retry_interval"] < retry_interval:
self.db_pool.simple_update_one_txn(
txn,
"destinations",
keyvalues={"destination": destination},
updatevalues={
"failure_ts": failure_ts,
"retry_last_ts": retry_last_ts,
"retry_interval": retry_interval,
},
)
def _start_cleanup_transactions(self):
return run_as_background_process(
"cleanup_transactions", self._cleanup_transactions
)
async def _cleanup_transactions(self) -> None:
now = self._clock.time_msec()
month_ago = now - 30 * 24 * 60 * 60 * 1000
def _cleanup_transactions_txn(txn):
txn.execute("DELETE FROM received_transactions WHERE ts < ?", (month_ago,))
await self.db_pool.runInteraction(
"_cleanup_transactions", _cleanup_transactions_txn
)
async def store_destination_rooms_entries(
self, destinations: Iterable[str], room_id: str, stream_ordering: int,
) -> None:
"""
Updates or creates `destination_rooms` entries in batch for a single event.
Args:
destinations: list of destinations
room_id: the room_id of the event
stream_ordering: the stream_ordering of the event
"""
return await self.db_pool.runInteraction(
"store_destination_rooms_entries",
self._store_destination_rooms_entries_txn,
destinations,
room_id,
stream_ordering,
)
def _store_destination_rooms_entries_txn(
self,
txn: LoggingTransaction,
destinations: Iterable[str],
room_id: str,
stream_ordering: int,
) -> None:
# ensure we have a `destinations` row for this destination, as there is
# a foreign key constraint.
if isinstance(self.database_engine, PostgresEngine):
q = """
INSERT INTO destinations (destination)
VALUES (?)
ON CONFLICT DO NOTHING;
"""
elif isinstance(self.database_engine, Sqlite3Engine):
q = """
INSERT OR IGNORE INTO destinations (destination)
VALUES (?);
"""
else:
raise RuntimeError("Unknown database engine")
txn.execute_batch(q, ((destination,) for destination in destinations))
rows = [(destination, room_id) for destination in destinations]
self.db_pool.simple_upsert_many_txn(
txn,
"destination_rooms",
["destination", "room_id"],
rows,
["stream_ordering"],
[(stream_ordering,)] * len(rows),
)
async def get_destination_last_successful_stream_ordering(
self, destination: str
) -> Optional[int]:
"""
Gets the stream ordering of the PDU most-recently successfully sent
to the specified destination, or None if this information has not been
tracked yet.
Args:
destination: the destination to query
"""
return await self.db_pool.simple_select_one_onecol(
"destinations",
{"destination": destination},
"last_successful_stream_ordering",
allow_none=True,
desc="get_last_successful_stream_ordering",
)
async def set_destination_last_successful_stream_ordering(
self, destination: str, last_successful_stream_ordering: int
) -> None:
"""
Marks that we have successfully sent the PDUs up to and including the
one specified.
Args:
destination: the destination we have successfully sent to
last_successful_stream_ordering: the stream_ordering of the most
recent successfully-sent PDU
"""
return await self.db_pool.simple_upsert(
"destinations",
keyvalues={"destination": destination},
values={"last_successful_stream_ordering": last_successful_stream_ordering},
desc="set_last_successful_stream_ordering",
)
async def get_catch_up_room_event_ids(
self, destination: str, last_successful_stream_ordering: int,
) -> List[str]:
"""
Returns at most 50 event IDs and their corresponding stream_orderings
that correspond to the oldest events that have not yet been sent to
the destination.
Args:
destination: the destination in question
last_successful_stream_ordering: the stream_ordering of the
most-recently successfully-transmitted event to the destination
Returns:
list of event_ids
"""
return await self.db_pool.runInteraction(
"get_catch_up_room_event_ids",
self._get_catch_up_room_event_ids_txn,
destination,
last_successful_stream_ordering,
)
@staticmethod
def _get_catch_up_room_event_ids_txn(
txn, destination: str, last_successful_stream_ordering: int,
) -> List[str]:
q = """
SELECT event_id FROM destination_rooms
JOIN events USING (stream_ordering)
WHERE destination = ?
AND stream_ordering > ?
ORDER BY stream_ordering
LIMIT 50
"""
txn.execute(
q, (destination, last_successful_stream_ordering),
)
event_ids = [row[0] for row in txn]
return event_ids