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d4503e25ed
There's no index on received_ts, so manually binary search using the stream_ordering index, and only update it once an hour.
858 lines
29 KiB
Python
858 lines
29 KiB
Python
# -*- coding: utf-8 -*-
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# 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 synapse.api.errors import StoreError
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from synapse.util.logcontext import LoggingContext, PreserveLoggingContext
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from synapse.util.caches.dictionary_cache import DictionaryCache
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from synapse.util.caches.descriptors import Cache
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from synapse.util.caches import intern_dict
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import synapse.metrics
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from twisted.internet import defer
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import sys
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import time
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import threading
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import os
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CACHE_SIZE_FACTOR = float(os.environ.get("SYNAPSE_CACHE_FACTOR", 0.1))
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logger = logging.getLogger(__name__)
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sql_logger = logging.getLogger("synapse.storage.SQL")
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transaction_logger = logging.getLogger("synapse.storage.txn")
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perf_logger = logging.getLogger("synapse.storage.TIME")
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metrics = synapse.metrics.get_metrics_for("synapse.storage")
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sql_scheduling_timer = metrics.register_distribution("schedule_time")
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sql_query_timer = metrics.register_distribution("query_time", labels=["verb"])
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sql_txn_timer = metrics.register_distribution("transaction_time", labels=["desc"])
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class LoggingTransaction(object):
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"""An object that almost-transparently proxies for the 'txn' object
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passed to the constructor. Adds logging and metrics to the .execute()
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method."""
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__slots__ = ["txn", "name", "database_engine", "after_callbacks"]
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def __init__(self, txn, name, database_engine, after_callbacks):
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object.__setattr__(self, "txn", txn)
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object.__setattr__(self, "name", name)
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object.__setattr__(self, "database_engine", database_engine)
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object.__setattr__(self, "after_callbacks", after_callbacks)
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def call_after(self, callback, *args):
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"""Call the given callback on the main twisted thread after the
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transaction has finished. Used to invalidate the caches on the
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correct thread.
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"""
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self.after_callbacks.append((callback, args))
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def __getattr__(self, name):
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return getattr(self.txn, name)
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def __setattr__(self, name, value):
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setattr(self.txn, name, value)
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def execute(self, sql, *args):
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self._do_execute(self.txn.execute, sql, *args)
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def executemany(self, sql, *args):
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self._do_execute(self.txn.executemany, sql, *args)
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def _do_execute(self, func, sql, *args):
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# TODO(paul): Maybe use 'info' and 'debug' for values?
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sql_logger.debug("[SQL] {%s} %s", self.name, sql)
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sql = self.database_engine.convert_param_style(sql)
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if args:
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try:
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sql_logger.debug(
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"[SQL values] {%s} %r",
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self.name, args[0]
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)
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except:
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# Don't let logging failures stop SQL from working
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pass
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start = time.time() * 1000
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try:
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return func(
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sql, *args
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)
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except Exception as e:
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logger.debug("[SQL FAIL] {%s} %s", self.name, e)
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raise
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finally:
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msecs = (time.time() * 1000) - start
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sql_logger.debug("[SQL time] {%s} %f", self.name, msecs)
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sql_query_timer.inc_by(msecs, sql.split()[0])
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class PerformanceCounters(object):
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def __init__(self):
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self.current_counters = {}
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self.previous_counters = {}
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def update(self, key, start_time, end_time=None):
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if end_time is None:
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end_time = time.time() * 1000
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duration = end_time - start_time
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count, cum_time = self.current_counters.get(key, (0, 0))
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count += 1
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cum_time += duration
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self.current_counters[key] = (count, cum_time)
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return end_time
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def interval(self, interval_duration, limit=3):
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counters = []
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for name, (count, cum_time) in self.current_counters.items():
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prev_count, prev_time = self.previous_counters.get(name, (0, 0))
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counters.append((
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(cum_time - prev_time) / interval_duration,
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count - prev_count,
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name
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))
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self.previous_counters = dict(self.current_counters)
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counters.sort(reverse=True)
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top_n_counters = ", ".join(
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"%s(%d): %.3f%%" % (name, count, 100 * ratio)
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for ratio, count, name in counters[:limit]
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)
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return top_n_counters
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class SQLBaseStore(object):
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_TXN_ID = 0
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def __init__(self, hs):
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self.hs = hs
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self._db_pool = hs.get_db_pool()
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self._previous_txn_total_time = 0
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self._current_txn_total_time = 0
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self._previous_loop_ts = 0
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# TODO(paul): These can eventually be removed once the metrics code
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# is running in mainline, and we have some nice monitoring frontends
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# to watch it
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self._txn_perf_counters = PerformanceCounters()
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self._get_event_counters = PerformanceCounters()
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self._get_event_cache = Cache("*getEvent*", keylen=3, lru=True,
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max_entries=hs.config.event_cache_size)
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self._state_group_cache = DictionaryCache(
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"*stateGroupCache*", 2000 * CACHE_SIZE_FACTOR
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)
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self._event_fetch_lock = threading.Condition()
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self._event_fetch_list = []
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self._event_fetch_ongoing = 0
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self._pending_ds = []
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self.database_engine = hs.database_engine
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def start_profiling(self):
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self._previous_loop_ts = self._clock.time_msec()
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def loop():
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curr = self._current_txn_total_time
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prev = self._previous_txn_total_time
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self._previous_txn_total_time = curr
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time_now = self._clock.time_msec()
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time_then = self._previous_loop_ts
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self._previous_loop_ts = time_now
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ratio = (curr - prev) / (time_now - time_then)
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top_three_counters = self._txn_perf_counters.interval(
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time_now - time_then, limit=3
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)
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top_3_event_counters = self._get_event_counters.interval(
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time_now - time_then, limit=3
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)
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perf_logger.info(
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"Total database time: %.3f%% {%s} {%s}",
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ratio * 100, top_three_counters, top_3_event_counters
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)
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self._clock.looping_call(loop, 10000)
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def _new_transaction(self, conn, desc, after_callbacks, logging_context,
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func, *args, **kwargs):
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start = time.time() * 1000
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txn_id = self._TXN_ID
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# We don't really need these to be unique, so lets stop it from
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# growing really large.
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self._TXN_ID = (self._TXN_ID + 1) % (sys.maxint - 1)
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name = "%s-%x" % (desc, txn_id, )
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transaction_logger.debug("[TXN START] {%s}", name)
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try:
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i = 0
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N = 5
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while True:
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try:
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txn = conn.cursor()
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txn = LoggingTransaction(
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txn, name, self.database_engine, after_callbacks
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)
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r = func(txn, *args, **kwargs)
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conn.commit()
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return r
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except self.database_engine.module.OperationalError as e:
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# This can happen if the database disappears mid
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# transaction.
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logger.warn(
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"[TXN OPERROR] {%s} %s %d/%d",
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name, e, i, N
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)
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if i < N:
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i += 1
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try:
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conn.rollback()
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except self.database_engine.module.Error as e1:
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logger.warn(
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"[TXN EROLL] {%s} %s",
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name, e1,
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)
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continue
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raise
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except self.database_engine.module.DatabaseError as e:
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if self.database_engine.is_deadlock(e):
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logger.warn("[TXN DEADLOCK] {%s} %d/%d", name, i, N)
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if i < N:
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i += 1
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try:
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conn.rollback()
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except self.database_engine.module.Error as e1:
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logger.warn(
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"[TXN EROLL] {%s} %s",
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name, e1,
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)
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continue
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raise
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except Exception as e:
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logger.debug("[TXN FAIL] {%s} %s", name, e)
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raise
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finally:
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end = time.time() * 1000
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duration = end - start
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if logging_context is not None:
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logging_context.add_database_transaction(duration)
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transaction_logger.debug("[TXN END] {%s} %f", name, duration)
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self._current_txn_total_time += duration
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self._txn_perf_counters.update(desc, start, end)
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sql_txn_timer.inc_by(duration, desc)
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@defer.inlineCallbacks
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def runInteraction(self, desc, func, *args, **kwargs):
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"""Wraps the .runInteraction() method on the underlying db_pool."""
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current_context = LoggingContext.current_context()
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start_time = time.time() * 1000
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after_callbacks = []
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def inner_func(conn, *args, **kwargs):
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with LoggingContext("runInteraction") as context:
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sql_scheduling_timer.inc_by(time.time() * 1000 - start_time)
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if self.database_engine.is_connection_closed(conn):
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logger.debug("Reconnecting closed database connection")
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conn.reconnect()
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current_context.copy_to(context)
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return self._new_transaction(
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conn, desc, after_callbacks, current_context,
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func, *args, **kwargs
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)
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with PreserveLoggingContext():
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result = yield self._db_pool.runWithConnection(
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inner_func, *args, **kwargs
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)
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for after_callback, after_args in after_callbacks:
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after_callback(*after_args)
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defer.returnValue(result)
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@defer.inlineCallbacks
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def runWithConnection(self, func, *args, **kwargs):
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"""Wraps the .runInteraction() method on the underlying db_pool."""
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current_context = LoggingContext.current_context()
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start_time = time.time() * 1000
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def inner_func(conn, *args, **kwargs):
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with LoggingContext("runWithConnection") as context:
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sql_scheduling_timer.inc_by(time.time() * 1000 - start_time)
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if self.database_engine.is_connection_closed(conn):
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logger.debug("Reconnecting closed database connection")
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conn.reconnect()
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current_context.copy_to(context)
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return func(conn, *args, **kwargs)
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with PreserveLoggingContext():
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result = yield self._db_pool.runWithConnection(
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inner_func, *args, **kwargs
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)
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defer.returnValue(result)
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@staticmethod
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def cursor_to_dict(cursor):
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"""Converts a SQL cursor into an list of dicts.
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Args:
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cursor : The DBAPI cursor which has executed a query.
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Returns:
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A list of dicts where the key is the column header.
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"""
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col_headers = list(column[0] for column in cursor.description)
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results = list(
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intern_dict(dict(zip(col_headers, row))) for row in cursor.fetchall()
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)
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return results
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def _execute(self, desc, decoder, query, *args):
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"""Runs a single query for a result set.
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Args:
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decoder - The function which can resolve the cursor results to
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something meaningful.
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query - The query string to execute
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*args - Query args.
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Returns:
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The result of decoder(results)
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"""
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def interaction(txn):
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txn.execute(query, args)
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if decoder:
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return decoder(txn)
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else:
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return txn.fetchall()
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return self.runInteraction(desc, interaction)
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# "Simple" SQL API methods that operate on a single table with no JOINs,
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# no complex WHERE clauses, just a dict of values for columns.
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@defer.inlineCallbacks
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def _simple_insert(self, table, values, or_ignore=False,
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desc="_simple_insert"):
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"""Executes an INSERT query on the named table.
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Args:
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table : string giving the table name
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values : dict of new column names and values for them
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"""
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try:
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yield self.runInteraction(
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desc,
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self._simple_insert_txn, table, values,
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)
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except self.database_engine.module.IntegrityError:
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# We have to do or_ignore flag at this layer, since we can't reuse
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# a cursor after we receive an error from the db.
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if not or_ignore:
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raise
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@staticmethod
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def _simple_insert_txn(txn, table, values):
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keys, vals = zip(*values.items())
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sql = "INSERT INTO %s (%s) VALUES(%s)" % (
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table,
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", ".join(k for k in keys),
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", ".join("?" for _ in keys)
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)
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txn.execute(sql, vals)
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@staticmethod
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def _simple_insert_many_txn(txn, table, values):
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if not values:
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return
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# This is a *slight* abomination to get a list of tuples of key names
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# and a list of tuples of value names.
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#
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# i.e. [{"a": 1, "b": 2}, {"c": 3, "d": 4}]
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# => [("a", "b",), ("c", "d",)] and [(1, 2,), (3, 4,)]
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#
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# The sort is to ensure that we don't rely on dictionary iteration
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# order.
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keys, vals = zip(*[
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zip(
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*(sorted(i.items(), key=lambda kv: kv[0]))
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)
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for i in values
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if i
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])
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for k in keys:
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if k != keys[0]:
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raise RuntimeError(
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"All items must have the same keys"
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)
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sql = "INSERT INTO %s (%s) VALUES(%s)" % (
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table,
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", ".join(k for k in keys[0]),
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", ".join("?" for _ in keys[0])
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)
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txn.executemany(sql, vals)
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def _simple_upsert(self, table, keyvalues, values,
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insertion_values={}, desc="_simple_upsert", lock=True):
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"""
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Args:
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table (str): The table to upsert into
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keyvalues (dict): The unique key tables and their new values
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values (dict): The nonunique columns and their new values
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insertion_values (dict): key/values to use when inserting
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Returns:
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Deferred(bool): True if a new entry was created, False if an
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existing one was updated.
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"""
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return self.runInteraction(
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desc,
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self._simple_upsert_txn, table, keyvalues, values, insertion_values,
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lock
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)
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def _simple_upsert_txn(self, txn, table, keyvalues, values, insertion_values={},
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lock=True):
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# We need to lock the table :(, unless we're *really* careful
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if lock:
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self.database_engine.lock_table(txn, table)
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# Try to update
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sql = "UPDATE %s SET %s WHERE %s" % (
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table,
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", ".join("%s = ?" % (k,) for k in values),
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" AND ".join("%s = ?" % (k,) for k in keyvalues)
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)
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sqlargs = values.values() + keyvalues.values()
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logger.debug(
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"[SQL] %s Args=%s",
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sql, sqlargs,
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)
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txn.execute(sql, sqlargs)
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if txn.rowcount == 0:
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# We didn't update and rows so insert a new one
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allvalues = {}
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allvalues.update(keyvalues)
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allvalues.update(values)
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allvalues.update(insertion_values)
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sql = "INSERT INTO %s (%s) VALUES (%s)" % (
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table,
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", ".join(k for k in allvalues),
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", ".join("?" for _ in allvalues)
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)
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logger.debug(
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"[SQL] %s Args=%s",
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sql, keyvalues.values(),
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)
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txn.execute(sql, allvalues.values())
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return True
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else:
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return False
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def _simple_select_one(self, table, keyvalues, retcols,
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allow_none=False, desc="_simple_select_one"):
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"""Executes a SELECT query on the named table, which is expected to
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return a single row, returning a single column from it.
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Args:
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table : string giving the table name
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keyvalues : dict of column names and values to select the row with
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retcols : list of strings giving the names of the columns to return
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allow_none : If true, return None instead of failing if the SELECT
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statement returns no rows
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"""
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return self.runInteraction(
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desc,
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self._simple_select_one_txn,
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table, keyvalues, retcols, allow_none,
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)
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def _simple_select_one_onecol(self, table, keyvalues, retcol,
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allow_none=False,
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desc="_simple_select_one_onecol"):
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"""Executes a SELECT query on the named table, which is expected to
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return a single row, returning a single column from it.
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Args:
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table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
retcol : string giving the name of the column to return
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_select_one_onecol_txn,
|
|
table, keyvalues, retcol, allow_none=allow_none,
|
|
)
|
|
|
|
@classmethod
|
|
def _simple_select_one_onecol_txn(cls, txn, table, keyvalues, retcol,
|
|
allow_none=False):
|
|
ret = cls._simple_select_onecol_txn(
|
|
txn,
|
|
table=table,
|
|
keyvalues=keyvalues,
|
|
retcol=retcol,
|
|
)
|
|
|
|
if ret:
|
|
return ret[0]
|
|
else:
|
|
if allow_none:
|
|
return None
|
|
else:
|
|
raise StoreError(404, "No row found")
|
|
|
|
@staticmethod
|
|
def _simple_select_onecol_txn(txn, table, keyvalues, retcol):
|
|
sql = (
|
|
"SELECT %(retcol)s FROM %(table)s WHERE %(where)s"
|
|
) % {
|
|
"retcol": retcol,
|
|
"table": table,
|
|
"where": " AND ".join("%s = ?" % k for k in keyvalues.keys()),
|
|
}
|
|
|
|
txn.execute(sql, keyvalues.values())
|
|
|
|
return [r[0] for r in txn.fetchall()]
|
|
|
|
def _simple_select_onecol(self, table, keyvalues, retcol,
|
|
desc="_simple_select_onecol"):
|
|
"""Executes a SELECT query on the named table, which returns a list
|
|
comprising of the values of the named column from the selected rows.
|
|
|
|
Args:
|
|
table (str): table name
|
|
keyvalues (dict): column names and values to select the rows with
|
|
retcol (str): column whos value we wish to retrieve.
|
|
|
|
Returns:
|
|
Deferred: Results in a list
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_select_onecol_txn,
|
|
table, keyvalues, retcol
|
|
)
|
|
|
|
def _simple_select_list(self, table, keyvalues, retcols,
|
|
desc="_simple_select_list"):
|
|
"""Executes a SELECT query on the named table, which may return zero or
|
|
more rows, returning the result as a list of dicts.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the rows with,
|
|
or None to not apply a WHERE clause.
|
|
retcols : list of strings giving the names of the columns to return
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_select_list_txn,
|
|
table, keyvalues, retcols
|
|
)
|
|
|
|
@classmethod
|
|
def _simple_select_list_txn(cls, txn, table, keyvalues, retcols):
|
|
"""Executes a SELECT query on the named table, which may return zero or
|
|
more rows, returning the result as a list of dicts.
|
|
|
|
Args:
|
|
txn : Transaction object
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the rows with
|
|
retcols : list of strings giving the names of the columns to return
|
|
"""
|
|
if keyvalues:
|
|
sql = "SELECT %s FROM %s WHERE %s" % (
|
|
", ".join(retcols),
|
|
table,
|
|
" AND ".join("%s = ?" % (k, ) for k in keyvalues)
|
|
)
|
|
txn.execute(sql, keyvalues.values())
|
|
else:
|
|
sql = "SELECT %s FROM %s" % (
|
|
", ".join(retcols),
|
|
table
|
|
)
|
|
txn.execute(sql)
|
|
|
|
return cls.cursor_to_dict(txn)
|
|
|
|
@defer.inlineCallbacks
|
|
def _simple_select_many_batch(self, table, column, iterable, retcols,
|
|
keyvalues={}, desc="_simple_select_many_batch",
|
|
batch_size=100):
|
|
"""Executes a SELECT query on the named table, which may return zero or
|
|
more rows, returning the result as a list of dicts.
|
|
|
|
Filters rows by if value of `column` is in `iterable`.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
column : column name to test for inclusion against `iterable`
|
|
iterable : list
|
|
keyvalues : dict of column names and values to select the rows with
|
|
retcols : list of strings giving the names of the columns to return
|
|
"""
|
|
results = []
|
|
|
|
if not iterable:
|
|
defer.returnValue(results)
|
|
|
|
chunks = [
|
|
iterable[i:i + batch_size]
|
|
for i in xrange(0, len(iterable), batch_size)
|
|
]
|
|
for chunk in chunks:
|
|
rows = yield self.runInteraction(
|
|
desc,
|
|
self._simple_select_many_txn,
|
|
table, column, chunk, keyvalues, retcols
|
|
)
|
|
|
|
results.extend(rows)
|
|
|
|
defer.returnValue(results)
|
|
|
|
@classmethod
|
|
def _simple_select_many_txn(cls, txn, table, column, iterable, keyvalues, retcols):
|
|
"""Executes a SELECT query on the named table, which may return zero or
|
|
more rows, returning the result as a list of dicts.
|
|
|
|
Filters rows by if value of `column` is in `iterable`.
|
|
|
|
Args:
|
|
txn : Transaction object
|
|
table : string giving the table name
|
|
column : column name to test for inclusion against `iterable`
|
|
iterable : list
|
|
keyvalues : dict of column names and values to select the rows with
|
|
retcols : list of strings giving the names of the columns to return
|
|
"""
|
|
if not iterable:
|
|
return []
|
|
|
|
sql = "SELECT %s FROM %s" % (", ".join(retcols), table)
|
|
|
|
clauses = []
|
|
values = []
|
|
clauses.append(
|
|
"%s IN (%s)" % (column, ",".join("?" for _ in iterable))
|
|
)
|
|
values.extend(iterable)
|
|
|
|
for key, value in keyvalues.items():
|
|
clauses.append("%s = ?" % (key,))
|
|
values.append(value)
|
|
|
|
if clauses:
|
|
sql = "%s WHERE %s" % (
|
|
sql,
|
|
" AND ".join(clauses),
|
|
)
|
|
|
|
txn.execute(sql, values)
|
|
return cls.cursor_to_dict(txn)
|
|
|
|
def _simple_update_one(self, table, keyvalues, updatevalues,
|
|
desc="_simple_update_one"):
|
|
"""Executes an UPDATE query on the named table, setting new values for
|
|
columns in a row matching the key values.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
updatevalues : dict giving column names and values to update
|
|
retcols : optional list of column names to return
|
|
|
|
If present, retcols gives a list of column names on which to perform
|
|
a SELECT statement *before* performing the UPDATE statement. The values
|
|
of these will be returned in a dict.
|
|
|
|
These are performed within the same transaction, allowing an atomic
|
|
get-and-set. This can be used to implement compare-and-set by putting
|
|
the update column in the 'keyvalues' dict as well.
|
|
"""
|
|
return self.runInteraction(
|
|
desc,
|
|
self._simple_update_one_txn,
|
|
table, keyvalues, updatevalues,
|
|
)
|
|
|
|
@staticmethod
|
|
def _simple_update_one_txn(txn, table, keyvalues, updatevalues):
|
|
update_sql = "UPDATE %s SET %s WHERE %s" % (
|
|
table,
|
|
", ".join("%s = ?" % (k,) for k in updatevalues),
|
|
" AND ".join("%s = ?" % (k,) for k in keyvalues)
|
|
)
|
|
|
|
txn.execute(
|
|
update_sql,
|
|
updatevalues.values() + keyvalues.values()
|
|
)
|
|
|
|
if txn.rowcount == 0:
|
|
raise StoreError(404, "No row found")
|
|
if txn.rowcount > 1:
|
|
raise StoreError(500, "More than one row matched")
|
|
|
|
@staticmethod
|
|
def _simple_select_one_txn(txn, table, keyvalues, retcols,
|
|
allow_none=False):
|
|
select_sql = "SELECT %s FROM %s WHERE %s" % (
|
|
", ".join(retcols),
|
|
table,
|
|
" AND ".join("%s = ?" % (k,) for k in keyvalues)
|
|
)
|
|
|
|
txn.execute(select_sql, keyvalues.values())
|
|
|
|
row = txn.fetchone()
|
|
if not row:
|
|
if allow_none:
|
|
return None
|
|
raise StoreError(404, "No row found")
|
|
if txn.rowcount > 1:
|
|
raise StoreError(500, "More than one row matched")
|
|
|
|
return dict(zip(retcols, row))
|
|
|
|
def _simple_delete_one(self, table, keyvalues, desc="_simple_delete_one"):
|
|
"""Executes a DELETE query on the named table, expecting to delete a
|
|
single row.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
"""
|
|
return self.runInteraction(
|
|
desc, self._simple_delete_one_txn, table, keyvalues
|
|
)
|
|
|
|
@staticmethod
|
|
def _simple_delete_one_txn(txn, table, keyvalues):
|
|
"""Executes a DELETE query on the named table, expecting to delete a
|
|
single row.
|
|
|
|
Args:
|
|
table : string giving the table name
|
|
keyvalues : dict of column names and values to select the row with
|
|
"""
|
|
sql = "DELETE FROM %s WHERE %s" % (
|
|
table,
|
|
" AND ".join("%s = ?" % (k, ) for k in keyvalues)
|
|
)
|
|
|
|
txn.execute(sql, keyvalues.values())
|
|
if txn.rowcount == 0:
|
|
raise StoreError(404, "No row found")
|
|
if txn.rowcount > 1:
|
|
raise StoreError(500, "more than one row matched")
|
|
|
|
@staticmethod
|
|
def _simple_delete_txn(txn, table, keyvalues):
|
|
sql = "DELETE FROM %s WHERE %s" % (
|
|
table,
|
|
" AND ".join("%s = ?" % (k, ) for k in keyvalues)
|
|
)
|
|
|
|
return txn.execute(sql, keyvalues.values())
|
|
|
|
def _get_cache_dict(self, db_conn, table, entity_column, stream_column,
|
|
max_value):
|
|
# Fetch a mapping of room_id -> max stream position for "recent" rooms.
|
|
# It doesn't really matter how many we get, the StreamChangeCache will
|
|
# do the right thing to ensure it respects the max size of cache.
|
|
sql = (
|
|
"SELECT %(entity)s, MAX(%(stream)s) FROM %(table)s"
|
|
" WHERE %(stream)s > ? - 100000"
|
|
" GROUP BY %(entity)s"
|
|
) % {
|
|
"table": table,
|
|
"entity": entity_column,
|
|
"stream": stream_column,
|
|
}
|
|
|
|
sql = self.database_engine.convert_param_style(sql)
|
|
|
|
txn = db_conn.cursor()
|
|
txn.execute(sql, (int(max_value),))
|
|
rows = txn.fetchall()
|
|
txn.close()
|
|
|
|
cache = {
|
|
row[0]: int(row[1])
|
|
for row in rows
|
|
}
|
|
|
|
if cache:
|
|
min_val = min(cache.values())
|
|
else:
|
|
min_val = max_value
|
|
|
|
return cache, min_val
|
|
|
|
|
|
class _RollbackButIsFineException(Exception):
|
|
""" This exception is used to rollback a transaction without implying
|
|
something went wrong.
|
|
"""
|
|
pass
|