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Add storage module for tracking background updates.
The progress for each background update is stored as a JSON blob in the database. Each background update is broken up into separate batches. The batch size is automatically tuned to try avoid blocking single threaded databases for too long.
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synapse/storage/background_updates.py
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synapse/storage/background_updates.py
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# -*- coding: utf-8 -*-
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# Copyright 2014, 2015 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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from ._base import SQLBaseStore
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from twisted.internet import defer
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import ujson as json
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import logging
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logger = logging.getLogger(__name__)
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class BackgroundUpdatePerformance(object):
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"""Tracks the how long a background update is taking to update its items"""
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def __init__(self, name):
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self.name = name
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self.total_item_count = 0
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self.total_duration_ms = 0
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self.avg_item_count = 0
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self.avg_duration_ms = 0
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def update(self, item_count, duration_ms):
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"""Update the stats after doing an update"""
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self.total_item_count += item_count
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self.total_duration_ms += duration_ms
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# Exponential moving averages for the number of items updated and
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# the duration.
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self.avg_item_count += 0.1 * (item_count - self.avg_item_count)
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self.avg_duration_ms += 0.1 * (duration_ms - self.avg_duration_ms)
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def average_duration_ms_per_item(self):
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"""An estimate of how long it takes to do a single update.
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Returns:
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A duration in ms as a float
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"""
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if self.total_item_count == 0:
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return None
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else:
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# Use the exponential moving average so that we can adapt to
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# changes in how long the update process takes.
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return float(self.avg_duration_ms) / float(self.avg_item_count)
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class BackgroundUpdateStore(SQLBaseStore):
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""" Background updates are updates to the database that run in the
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background. Each update processes a batch of data at once. We attempt to
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limit the impact of each update by monitoring how long each batch takes to
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process and autotuning the batch size.
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"""
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MINIMUM_BACKGROUND_BATCH_SIZE = 100
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DEFAULT_BACKGROUND_BATCH_SIZE = 100
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def __init__(self, hs):
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super(BackgroundUpdateStore, self).__init__(hs)
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self._background_update_performance = {}
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self._background_update_queue = []
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self._background_update_handlers = {}
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@defer.inlineCallbacks
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def do_background_update(self, desired_duration_ms):
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"""Does some amount of work on a background update
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Args:
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desired_duration_ms(float): How long we want to spend
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updating.
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Returns:
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A deferred that completes once some amount of work is done.
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The deferred will have a value of None if there is currently
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no more work to do.
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"""
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if not self._background_update_queue:
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updates = yield self._simple_select_list(
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"background_updates",
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keyvalues=None,
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retcols=("update_name",),
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)
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for update in updates:
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self._background_update_queue.append(update['update_name'])
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if not self._background_update_queue:
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defer.returnValue(None)
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update_name = self._background_update_queue.pop(0)
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self._background_update_queue.append(update_name)
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update_handler = self._background_update_handlers[update_name]
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performance = self._background_update_performance.get(update_name)
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if performance is None:
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performance = BackgroundUpdatePerformance(update_name)
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self._background_update_performance[update_name] = performance
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duration_ms_per_item = performance.average_duration_ms_per_item()
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if duration_ms_per_item is not None:
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batch_size = int(desired_duration_ms / duration_ms_per_item)
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# Clamp the batch size so that we always make progress
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batch_size = max(batch_size, self.MINIMUM_BACKGROUND_BATCH_SIZE)
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else:
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batch_size = self.DEFAULT_BACKGROUND_BATCH_SIZE
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progress_json = yield self._simple_select_one_onecol(
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"background_updates",
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keyvalues={"update_name": update_name},
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retcol="progress_json"
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)
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progress = json.loads(progress_json)
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time_start = self._clock.time_msec()
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items_updated = yield update_handler(progress, batch_size)
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time_stop = self._clock.time_msec()
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duration_ms = time_stop - time_start
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logger.info(
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"Updating %. Updated %r items in %rms",
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update_name, items_updated, duration_ms
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)
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performance.update(items_updated, duration_ms)
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defer.returnValue(len(self._background_update_performance))
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def register_background_update_handler(self, update_name, update_handler):
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"""Register a handler for doing a background update.
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The handler should take two arguments:
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* A dict of the current progress
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* An integer count of the number of items to update in this batch.
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The handler should return a deferred integer count of items updated.
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The hander is responsible for updating the progress of the update.
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Args:
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update_name(str): The name of the update that this code handles.
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update_handler(function): The function that does the update.
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"""
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self._background_update_handlers[update_name] = update_handler
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def start_background_update(self, update_name, progress):
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"""Starts a background update running.
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Args:
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update_name: The update to set running.
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progress: The initial state of the progress of the update.
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Returns:
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A deferred that completes once the task has been added to the
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queue.
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"""
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# Clear the background update queue so that we will pick up the new
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# task on the next iteration of do_background_update.
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self._background_update_queue = []
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progress_json = json.dumps(progress)
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return self._simple_insert(
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"background_updates",
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{"update_name": update_name, "progress_json": progress_json}
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)
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def _end_background_update(self, update_name):
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"""Removes a completed background update task from the queue.
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Args:
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update_name(str): The name of the completed task to remove
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Returns:
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A deferred that completes once the task is removed.
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"""
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self._background_update_queue = [
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name for name in self._background_update_queue if name != update_name
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]
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return self._simple_delete_one(
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"background_updates", keyvalues={"update_name": update_name}
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)
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def _background_update_progress_txn(self, txn, update_name, progress):
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"""Update the progress of a background update
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Args:
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txn(cursor): The transaction.
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update_name(str): The name of the background update task
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progress(dict): The progress of the update.
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"""
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progress_json = json.dumps(progress)
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self._simple_update_one_txn(
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txn,
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"background_updates",
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keyvalues={"update_name": update_name},
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updatevalues={"progress_json": progress_json},
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)
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synapse/storage/schema/delta/25/00background_updates.sql
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21
synapse/storage/schema/delta/25/00background_updates.sql
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/* Copyright 2015 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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*/
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CREATE TABLE IF NOT EXISTS background_updates(
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update_name TEXT NOT NULL, -- The name of the background update.
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progress_json TEXT NOT NULL, -- The current progress of the update as JSON.
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CONSTRAINT background_updates_uniqueness UNIQUE (update_name)
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);
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