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Limit number of entries to prefill from cache
Some tables, like device_inbox, take a long time to query at startup for the stream change cache prefills. This is likely because they are slower growing streams and so are more fragmented on disk. For now, lets pull fewer entries out to make startup quicker. In future, we should add a better index to make it even faster.
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@ -189,7 +189,8 @@ class DataStore(RoomMemberStore, RoomStore,
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db_conn, "device_inbox",
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entity_column="user_id",
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stream_column="stream_id",
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max_value=max_device_inbox_id
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max_value=max_device_inbox_id,
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limit=1000,
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)
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self._device_inbox_stream_cache = StreamChangeCache(
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"DeviceInboxStreamChangeCache", min_device_inbox_id,
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@ -202,6 +203,7 @@ class DataStore(RoomMemberStore, RoomStore,
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entity_column="destination",
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stream_column="stream_id",
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max_value=max_device_inbox_id,
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limit=1000,
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)
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self._device_federation_outbox_stream_cache = StreamChangeCache(
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"DeviceFederationOutboxStreamChangeCache", min_device_outbox_id,
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@ -838,18 +838,19 @@ class SQLBaseStore(object):
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return txn.execute(sql, keyvalues.values())
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def _get_cache_dict(self, db_conn, table, entity_column, stream_column,
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max_value):
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max_value, limit=100000):
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# Fetch a mapping of room_id -> max stream position for "recent" rooms.
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# It doesn't really matter how many we get, the StreamChangeCache will
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# do the right thing to ensure it respects the max size of cache.
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sql = (
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"SELECT %(entity)s, MAX(%(stream)s) FROM %(table)s"
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" WHERE %(stream)s > ? - 100000"
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" WHERE %(stream)s > ? - %(limit)s"
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" GROUP BY %(entity)s"
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) % {
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"table": table,
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"entity": entity_column,
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"stream": stream_column,
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"limit": limit,
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}
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sql = self.database_engine.convert_param_style(sql)
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