480 lines
16 KiB
Python
480 lines
16 KiB
Python
# Copyright 2014-2016 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 logging
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from collections import namedtuple
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from typing import Iterable, List, Optional, Tuple
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import attr
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from canonicaljson import encode_canonical_json
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from synapse.metrics.background_process_metrics import wrap_as_background_process
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from synapse.storage._base import db_to_json
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from synapse.storage.database import DatabasePool, LoggingTransaction
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from synapse.storage.databases.main.cache import CacheInvalidationWorkerStore
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from synapse.types import JsonDict
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from synapse.util.caches.descriptors import cached
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db_binary_type = memoryview
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logger = logging.getLogger(__name__)
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_TransactionRow = namedtuple(
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"_TransactionRow",
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("id", "transaction_id", "destination", "ts", "response_code", "response_json"),
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)
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_UpdateTransactionRow = namedtuple(
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"_TransactionRow", ("response_code", "response_json")
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)
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@attr.s(slots=True, frozen=True, auto_attribs=True)
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class DestinationRetryTimings:
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"""The current destination retry timing info for a remote server."""
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# The first time we tried and failed to reach the remote server, in ms.
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failure_ts: int
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# The last time we tried and failed to reach the remote server, in ms.
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retry_last_ts: int
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# How long since the last time we tried to reach the remote server before
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# trying again, in ms.
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retry_interval: int
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class TransactionWorkerStore(CacheInvalidationWorkerStore):
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def __init__(self, database: DatabasePool, db_conn, hs):
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super().__init__(database, db_conn, hs)
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if hs.config.run_background_tasks:
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self._clock.looping_call(self._cleanup_transactions, 30 * 60 * 1000)
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@wrap_as_background_process("cleanup_transactions")
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async def _cleanup_transactions(self) -> None:
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now = self._clock.time_msec()
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month_ago = now - 30 * 24 * 60 * 60 * 1000
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def _cleanup_transactions_txn(txn):
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txn.execute("DELETE FROM received_transactions WHERE ts < ?", (month_ago,))
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await self.db_pool.runInteraction(
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"_cleanup_transactions", _cleanup_transactions_txn
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)
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async def get_received_txn_response(
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self, transaction_id: str, origin: str
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) -> Optional[Tuple[int, JsonDict]]:
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"""For an incoming transaction from a given origin, check if we have
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already responded to it. If so, return the response code and response
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body (as a dict).
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Args:
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transaction_id
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origin
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Returns:
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None if we have not previously responded to this transaction or a
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2-tuple of (int, dict)
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"""
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return await self.db_pool.runInteraction(
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"get_received_txn_response",
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self._get_received_txn_response,
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transaction_id,
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origin,
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)
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def _get_received_txn_response(self, txn, transaction_id, origin):
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result = self.db_pool.simple_select_one_txn(
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txn,
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table="received_transactions",
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keyvalues={"transaction_id": transaction_id, "origin": origin},
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retcols=(
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"transaction_id",
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"origin",
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"ts",
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"response_code",
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"response_json",
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"has_been_referenced",
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),
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allow_none=True,
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)
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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:
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return None
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async def set_received_txn_response(
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self, transaction_id: str, origin: str, code: int, response_dict: JsonDict
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) -> None:
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"""Persist the response we returned for an incoming transaction, and
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should return for subsequent transactions with the same transaction_id
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and origin.
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Args:
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transaction_id: The incoming transaction ID.
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origin: The origin server.
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code: The response code.
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response_dict: The response, to be encoded into JSON.
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"""
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await self.db_pool.simple_upsert(
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table="received_transactions",
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keyvalues={
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"transaction_id": transaction_id,
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"origin": origin,
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},
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values={},
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insertion_values={
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"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(),
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},
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desc="set_received_txn_response",
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)
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@cached(max_entries=10000)
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async def get_destination_retry_timings(
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self,
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destination: str,
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) -> Optional[DestinationRetryTimings]:
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"""Gets the current retry timings (if any) for a given destination.
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Args:
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destination (str)
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Returns:
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None if not retrying
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Otherwise a dict for the retry scheme
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"""
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result = await self.db_pool.runInteraction(
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"get_destination_retry_timings",
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self._get_destination_retry_timings,
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destination,
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)
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return result
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def _get_destination_retry_timings(
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self, txn, destination: str
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) -> Optional[DestinationRetryTimings]:
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result = self.db_pool.simple_select_one_txn(
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txn,
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table="destinations",
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keyvalues={"destination": destination},
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retcols=("failure_ts", "retry_last_ts", "retry_interval"),
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allow_none=True,
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)
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# check we have a row and retry_last_ts is not null or zero
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# (retry_last_ts can't be negative)
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if result and result["retry_last_ts"]:
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return DestinationRetryTimings(**result)
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else:
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return None
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async def set_destination_retry_timings(
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self,
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destination: str,
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failure_ts: Optional[int],
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retry_last_ts: int,
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retry_interval: int,
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) -> None:
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"""Sets the current retry timings for a given destination.
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Both timings should be zero if retrying is no longer occurring.
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Args:
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destination
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failure_ts: when the server started failing (ms since epoch)
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retry_last_ts: time of last retry attempt in unix epoch ms
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retry_interval: how long until next retry in ms
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"""
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if self.database_engine.can_native_upsert:
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return await self.db_pool.runInteraction(
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"set_destination_retry_timings",
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self._set_destination_retry_timings_native,
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destination,
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failure_ts,
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retry_last_ts,
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retry_interval,
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db_autocommit=True, # Safe as its a single upsert
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)
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else:
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return await self.db_pool.runInteraction(
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"set_destination_retry_timings",
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self._set_destination_retry_timings_emulated,
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destination,
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failure_ts,
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retry_last_ts,
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retry_interval,
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)
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def _set_destination_retry_timings_native(
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self, txn, destination, failure_ts, retry_last_ts, retry_interval
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):
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assert self.database_engine.can_native_upsert
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# Upsert retry time interval if retry_interval is zero (i.e. we're
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# resetting it) or greater than the existing retry interval.
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#
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# WARNING: This is executed in autocommit, so we shouldn't add any more
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# SQL calls in here (without being very careful).
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sql = """
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INSERT INTO destinations (
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destination, failure_ts, retry_last_ts, retry_interval
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)
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VALUES (?, ?, ?, ?)
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ON CONFLICT (destination) DO UPDATE SET
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failure_ts = EXCLUDED.failure_ts,
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retry_last_ts = EXCLUDED.retry_last_ts,
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retry_interval = EXCLUDED.retry_interval
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WHERE
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EXCLUDED.retry_interval = 0
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OR destinations.retry_interval IS NULL
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OR destinations.retry_interval < EXCLUDED.retry_interval
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"""
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txn.execute(sql, (destination, failure_ts, retry_last_ts, retry_interval))
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self._invalidate_cache_and_stream(
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txn, self.get_destination_retry_timings, (destination,)
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)
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def _set_destination_retry_timings_emulated(
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self, txn, destination, failure_ts, retry_last_ts, retry_interval
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):
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self.database_engine.lock_table(txn, "destinations")
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# We need to be careful here as the data may have changed from under us
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# due to a worker setting the timings.
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prev_row = self.db_pool.simple_select_one_txn(
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txn,
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table="destinations",
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keyvalues={"destination": destination},
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retcols=("failure_ts", "retry_last_ts", "retry_interval"),
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allow_none=True,
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)
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if not prev_row:
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self.db_pool.simple_insert_txn(
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txn,
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table="destinations",
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values={
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"destination": destination,
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"failure_ts": failure_ts,
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"retry_last_ts": retry_last_ts,
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"retry_interval": retry_interval,
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},
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)
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elif (
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retry_interval == 0
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or prev_row["retry_interval"] is None
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or prev_row["retry_interval"] < retry_interval
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):
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self.db_pool.simple_update_one_txn(
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txn,
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"destinations",
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keyvalues={"destination": destination},
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updatevalues={
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"failure_ts": failure_ts,
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"retry_last_ts": retry_last_ts,
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"retry_interval": retry_interval,
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},
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)
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self._invalidate_cache_and_stream(
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txn, self.get_destination_retry_timings, (destination,)
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)
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async def store_destination_rooms_entries(
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self,
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destinations: Iterable[str],
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room_id: str,
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stream_ordering: int,
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) -> None:
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"""
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Updates or creates `destination_rooms` entries in batch for a single event.
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Args:
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destinations: list of destinations
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room_id: the room_id of the event
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stream_ordering: the stream_ordering of the event
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"""
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await self.db_pool.simple_upsert_many(
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table="destinations",
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key_names=("destination",),
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key_values=[(d,) for d in destinations],
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value_names=[],
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value_values=[],
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desc="store_destination_rooms_entries_dests",
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)
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rows = [(destination, room_id) for destination in destinations]
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await self.db_pool.simple_upsert_many(
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table="destination_rooms",
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key_names=("destination", "room_id"),
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key_values=rows,
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value_names=["stream_ordering"],
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value_values=[(stream_ordering,)] * len(rows),
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desc="store_destination_rooms_entries_rooms",
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)
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async def get_destination_last_successful_stream_ordering(
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self, destination: str
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) -> Optional[int]:
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"""
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Gets the stream ordering of the PDU most-recently successfully sent
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to the specified destination, or None if this information has not been
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tracked yet.
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Args:
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destination: the destination to query
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"""
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return await self.db_pool.simple_select_one_onecol(
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"destinations",
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{"destination": destination},
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"last_successful_stream_ordering",
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allow_none=True,
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desc="get_last_successful_stream_ordering",
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)
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async def set_destination_last_successful_stream_ordering(
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self, destination: str, last_successful_stream_ordering: int
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) -> None:
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"""
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Marks that we have successfully sent the PDUs up to and including the
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one specified.
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Args:
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destination: the destination we have successfully sent to
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last_successful_stream_ordering: the stream_ordering of the most
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recent successfully-sent PDU
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"""
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return await self.db_pool.simple_upsert(
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"destinations",
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keyvalues={"destination": destination},
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values={"last_successful_stream_ordering": last_successful_stream_ordering},
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desc="set_last_successful_stream_ordering",
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)
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async def get_catch_up_room_event_ids(
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self,
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destination: str,
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last_successful_stream_ordering: int,
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) -> List[str]:
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"""
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Returns at most 50 event IDs and their corresponding stream_orderings
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that correspond to the oldest events that have not yet been sent to
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the destination.
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Args:
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destination: the destination in question
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last_successful_stream_ordering: the stream_ordering of the
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most-recently successfully-transmitted event to the destination
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Returns:
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list of event_ids
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"""
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return await self.db_pool.runInteraction(
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"get_catch_up_room_event_ids",
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self._get_catch_up_room_event_ids_txn,
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destination,
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last_successful_stream_ordering,
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)
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@staticmethod
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def _get_catch_up_room_event_ids_txn(
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txn: LoggingTransaction,
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destination: str,
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last_successful_stream_ordering: int,
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) -> List[str]:
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q = """
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SELECT event_id FROM destination_rooms
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JOIN events USING (stream_ordering)
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WHERE destination = ?
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AND stream_ordering > ?
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ORDER BY stream_ordering
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LIMIT 50
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"""
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txn.execute(
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q,
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(destination, last_successful_stream_ordering),
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)
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event_ids = [row[0] for row in txn]
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return event_ids
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async def get_catch_up_outstanding_destinations(
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self, after_destination: Optional[str]
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) -> List[str]:
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"""
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Gets at most 25 destinations which have outstanding PDUs to be caught up,
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and are not being backed off from
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Args:
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after_destination:
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If provided, all destinations must be lexicographically greater
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than this one.
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Returns:
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list of up to 25 destinations with outstanding catch-up.
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These are the lexicographically first destinations which are
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lexicographically greater than after_destination (if provided).
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"""
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time = self.hs.get_clock().time_msec()
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return await self.db_pool.runInteraction(
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"get_catch_up_outstanding_destinations",
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self._get_catch_up_outstanding_destinations_txn,
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time,
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after_destination,
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)
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@staticmethod
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def _get_catch_up_outstanding_destinations_txn(
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txn: LoggingTransaction, now_time_ms: int, after_destination: Optional[str]
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) -> List[str]:
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q = """
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SELECT DISTINCT destination FROM destinations
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INNER JOIN destination_rooms USING (destination)
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WHERE
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stream_ordering > last_successful_stream_ordering
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AND destination > ?
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AND (
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retry_last_ts IS NULL OR
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retry_last_ts + retry_interval < ?
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)
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ORDER BY destination
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LIMIT 25
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"""
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txn.execute(
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q,
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(
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# everything is lexicographically greater than "" so this gives
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# us the first batch of up to 25.
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after_destination or "",
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now_time_ms,
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),
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)
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destinations = [row[0] for row in txn]
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return destinations
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