# Copyright 2014-2016 OpenMarket Ltd # # 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. import logging from collections import namedtuple from typing import Iterable, List, Optional, Tuple import attr from canonicaljson import encode_canonical_json from synapse.metrics.background_process_metrics import wrap_as_background_process from synapse.storage._base import db_to_json from synapse.storage.database import DatabasePool, LoggingTransaction from synapse.storage.databases.main.cache import CacheInvalidationWorkerStore from synapse.types import JsonDict from synapse.util.caches.descriptors import cached db_binary_type = memoryview logger = logging.getLogger(__name__) _TransactionRow = namedtuple( "_TransactionRow", ("id", "transaction_id", "destination", "ts", "response_code", "response_json"), ) _UpdateTransactionRow = namedtuple( "_TransactionRow", ("response_code", "response_json") ) @attr.s(slots=True, frozen=True, auto_attribs=True) class DestinationRetryTimings: """The current destination retry timing info for a remote server.""" # The first time we tried and failed to reach the remote server, in ms. failure_ts: int # The last time we tried and failed to reach the remote server, in ms. retry_last_ts: int # How long since the last time we tried to reach the remote server before # trying again, in ms. retry_interval: int class TransactionWorkerStore(CacheInvalidationWorkerStore): def __init__(self, database: DatabasePool, db_conn, hs): super().__init__(database, db_conn, hs) if hs.config.worker.run_background_tasks: self._clock.looping_call(self._cleanup_transactions, 30 * 60 * 1000) @wrap_as_background_process("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 get_received_txn_response( self, transaction_id: str, origin: str ) -> Optional[Tuple[int, JsonDict]]: """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 Returns: None if we have not previously responded to this transaction or a 2-tuple of (int, dict) """ return await self.db_pool.runInteraction( "get_received_txn_response", self._get_received_txn_response, transaction_id, origin, ) def _get_received_txn_response(self, txn, transaction_id, origin): result = self.db_pool.simple_select_one_txn( txn, table="received_transactions", keyvalues={"transaction_id": transaction_id, "origin": origin}, retcols=( "transaction_id", "origin", "ts", "response_code", "response_json", "has_been_referenced", ), allow_none=True, ) if result and result["response_code"]: return result["response_code"], db_to_json(result["response_json"]) 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 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. """ await self.db_pool.simple_upsert( table="received_transactions", keyvalues={ "transaction_id": transaction_id, "origin": origin, }, values={}, insertion_values={ "response_code": code, "response_json": db_binary_type(encode_canonical_json(response_dict)), "ts": self._clock.time_msec(), }, desc="set_received_txn_response", ) @cached(max_entries=10000) async def get_destination_retry_timings( self, destination: str, ) -> Optional[DestinationRetryTimings]: """Gets the current retry timings (if any) for a given destination. Args: destination (str) Returns: None if not retrying Otherwise a dict for the retry scheme """ result = await self.db_pool.runInteraction( "get_destination_retry_timings", self._get_destination_retry_timings, destination, ) return result def _get_destination_retry_timings( self, txn, destination: str ) -> Optional[DestinationRetryTimings]: result = self.db_pool.simple_select_one_txn( txn, table="destinations", keyvalues={"destination": destination}, retcols=("failure_ts", "retry_last_ts", "retry_interval"), 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"]: return DestinationRetryTimings(**result) else: return None 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 occurring. 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 """ if self.database_engine.can_native_upsert: return await self.db_pool.runInteraction( "set_destination_retry_timings", self._set_destination_retry_timings_native, destination, failure_ts, retry_last_ts, retry_interval, db_autocommit=True, # Safe as its a single upsert ) else: return await self.db_pool.runInteraction( "set_destination_retry_timings", self._set_destination_retry_timings_emulated, destination, failure_ts, retry_last_ts, retry_interval, ) def _set_destination_retry_timings_native( self, txn, destination, failure_ts, retry_last_ts, retry_interval ): assert 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. # # WARNING: This is executed in autocommit, so we shouldn't add any more # SQL calls in here (without being very careful). 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 IS NULL OR destinations.retry_interval < EXCLUDED.retry_interval """ txn.execute(sql, (destination, failure_ts, retry_last_ts, retry_interval)) self._invalidate_cache_and_stream( txn, self.get_destination_retry_timings, (destination,) ) def _set_destination_retry_timings_emulated( self, txn, destination, failure_ts, retry_last_ts, retry_interval ): 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, ) 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"] is None 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, }, ) self._invalidate_cache_and_stream( txn, self.get_destination_retry_timings, (destination,) ) 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 """ await self.db_pool.simple_upsert_many( table="destinations", key_names=("destination",), key_values=[(d,) for d in destinations], value_names=[], value_values=[], desc="store_destination_rooms_entries_dests", ) rows = [(destination, room_id) for destination in destinations] await self.db_pool.simple_upsert_many( table="destination_rooms", key_names=("destination", "room_id"), key_values=rows, value_names=["stream_ordering"], value_values=[(stream_ordering,)] * len(rows), desc="store_destination_rooms_entries_rooms", ) 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: LoggingTransaction, 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 async def get_catch_up_outstanding_destinations( self, after_destination: Optional[str] ) -> List[str]: """ Gets at most 25 destinations which have outstanding PDUs to be caught up, and are not being backed off from Args: after_destination: If provided, all destinations must be lexicographically greater than this one. Returns: list of up to 25 destinations with outstanding catch-up. These are the lexicographically first destinations which are lexicographically greater than after_destination (if provided). """ time = self.hs.get_clock().time_msec() return await self.db_pool.runInteraction( "get_catch_up_outstanding_destinations", self._get_catch_up_outstanding_destinations_txn, time, after_destination, ) @staticmethod def _get_catch_up_outstanding_destinations_txn( txn: LoggingTransaction, now_time_ms: int, after_destination: Optional[str] ) -> List[str]: q = """ SELECT DISTINCT destination FROM destinations INNER JOIN destination_rooms USING (destination) WHERE stream_ordering > last_successful_stream_ordering AND destination > ? AND ( retry_last_ts IS NULL OR retry_last_ts + retry_interval < ? ) ORDER BY destination LIMIT 25 """ txn.execute( q, ( # everything is lexicographically greater than "" so this gives # us the first batch of up to 25. after_destination or "", now_time_ms, ), ) destinations = [row[0] for row in txn] return destinations