mirror of
https://github.com/element-hq/synapse
synced 2024-08-19 19:40:20 +00:00
Allow paginating search ordered by recents
This commit is contained in:
parent
76936f43ae
commit
4dcaa42b6d
4 changed files with 228 additions and 93 deletions
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@ -131,6 +131,17 @@ class SearchHandler(BaseHandler):
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if batch_group == "room_id":
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room_ids.intersection_update({batch_group_key})
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if not room_ids:
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defer.returnValue({
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"search_categories": {
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"room_events": {
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"results": {},
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"count": 0,
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"highlights": [],
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}
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}
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})
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rank_map = {} # event_id -> rank of event
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allowed_events = []
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room_groups = {} # Holds result of grouping by room, if applicable
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@ -178,85 +189,66 @@ class SearchHandler(BaseHandler):
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s["results"].append(e.event_id)
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elif order_by == "recent":
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# In this case we specifically loop through each room as the given
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# limit applies to each room, rather than a global list.
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# This is not necessarilly a good idea.
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for room_id in room_ids:
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room_events = []
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if batch_group == "room_id" and batch_group_key == room_id:
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pagination_token = batch_token
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else:
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room_events = []
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i = 0
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pagination_token = batch_token
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# We keep looping and we keep filtering until we reach the limit
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# or we run out of things.
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# But only go around 5 times since otherwise synapse will be sad.
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while len(room_events) < search_filter.limit() and i < 5:
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i += 1
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search_result = yield self.store.search_rooms(
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room_ids, search_term, keys, search_filter.limit() * 2,
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pagination_token=pagination_token,
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)
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if search_result["highlights"]:
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highlights.update(search_result["highlights"])
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results = search_result["results"]
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results_map = {r["event"].event_id: r for r in results}
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rank_map.update({r["event"].event_id: r["rank"] for r in results})
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filtered_events = search_filter.filter([
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r["event"] for r in results
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])
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events = yield self._filter_events_for_client(
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user.to_string(), filtered_events
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)
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room_events.extend(events)
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room_events = room_events[:search_filter.limit()]
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if len(results) < search_filter.limit() * 2:
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pagination_token = None
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i = 0
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# We keep looping and we keep filtering until we reach the limit
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# or we run out of things.
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# But only go around 5 times since otherwise synapse will be sad.
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while len(room_events) < search_filter.limit() and i < 5:
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i += 1
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search_result = yield self.store.search_room(
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room_id, search_term, keys, search_filter.limit() * 2,
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pagination_token=pagination_token,
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)
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if search_result["highlights"]:
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highlights.update(search_result["highlights"])
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results = search_result["results"]
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results_map = {r["event"].event_id: r for r in results}
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rank_map.update({r["event"].event_id: r["rank"] for r in results})
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filtered_events = search_filter.filter([
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r["event"] for r in results
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])
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events = yield self._filter_events_for_client(
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user.to_string(), filtered_events
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)
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room_events.extend(events)
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room_events = room_events[:search_filter.limit()]
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if len(results) < search_filter.limit() * 2:
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pagination_token = None
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break
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else:
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pagination_token = results[-1]["pagination_token"]
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if room_events:
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res = results_map[room_events[-1].event_id]
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pagination_token = res["pagination_token"]
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group = room_groups.setdefault(room_id, {})
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if pagination_token:
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next_batch = encode_base64("%s\n%s\n%s" % (
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"room_id", room_id, pagination_token
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))
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group["next_batch"] = next_batch
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if batch_token:
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global_next_batch = next_batch
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group["results"] = [e.event_id for e in room_events]
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group["order"] = max(
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e.origin_server_ts/1000 for e in room_events
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if hasattr(e, "origin_server_ts")
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)
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allowed_events.extend(room_events)
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# Normalize the group orders
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if room_groups:
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if len(room_groups) > 1:
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mx = max(g["order"] for g in room_groups.values())
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mn = min(g["order"] for g in room_groups.values())
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for g in room_groups.values():
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g["order"] = (g["order"] - mn) * 1.0 / (mx - mn)
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else:
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room_groups.values()[0]["order"] = 1
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pagination_token = results[-1]["pagination_token"]
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if room_events:
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for event in room_events:
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group = room_groups.setdefault(event.room_id, {
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"results": [],
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})
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group["results"].append(event.event_id)
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pagination_token = results_map[room_events[-1].event_id]["pagination_token"]
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if pagination_token:
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global_next_batch = encode_base64("%s\n%s\n%s" % (
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"all", "", pagination_token
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))
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for room_id, group in room_groups.items():
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group["next_batch"] = encode_base64("%s\n%s\n%s" % (
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"room_id", room_id, pagination_token
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))
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allowed_events.extend(room_events)
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else:
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# We should never get here due to the guard earlier.
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@ -51,6 +51,14 @@ EVENT_QUEUE_TIMEOUT_S = 0.1 # Timeout when waiting for requests for events
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class EventsStore(SQLBaseStore):
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EVENT_ORIGIN_SERVER_TS_NAME = "event_origin_server_ts"
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def __init__(self, hs):
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super(EventsStore, self).__init__(hs)
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self.register_background_update_handler(
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self.EVENT_ORIGIN_SERVER_TS_NAME, self._background_reindex_origin_server_ts
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)
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@defer.inlineCallbacks
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def persist_events(self, events_and_contexts, backfilled=False,
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is_new_state=True):
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@ -365,6 +373,7 @@ class EventsStore(SQLBaseStore):
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"processed": True,
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"outlier": event.internal_metadata.is_outlier(),
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"content": encode_json(event.content).decode("UTF-8"),
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"origin_server_ts": int(event.origin_server_ts),
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}
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for event, _ in events_and_contexts
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],
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@ -964,3 +973,71 @@ class EventsStore(SQLBaseStore):
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ret = yield self.runInteraction("count_messages", _count_messages)
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defer.returnValue(ret)
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@defer.inlineCallbacks
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def _background_reindex_origin_server_ts(self, progress, batch_size):
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target_min_stream_id = progress["target_min_stream_id_inclusive"]
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max_stream_id = progress["max_stream_id_exclusive"]
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rows_inserted = progress.get("rows_inserted", 0)
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INSERT_CLUMP_SIZE = 1000
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def reindex_search_txn(txn):
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sql = (
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"SELECT stream_ordering, event_id FROM events"
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" WHERE ? <= stream_ordering AND stream_ordering < ?"
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" ORDER BY stream_ordering DESC"
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" LIMIT ?"
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)
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txn.execute(sql, (target_min_stream_id, max_stream_id, batch_size))
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rows = txn.fetchall()
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if not rows:
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return 0
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min_stream_id = rows[-1][0]
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event_ids = [row[1] for row in rows]
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events = self._get_events_txn(txn, event_ids)
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rows = []
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for event in events:
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try:
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event_id = event.event_id
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origin_server_ts = event.origin_server_ts
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except (KeyError, AttributeError):
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# If the event is missing a necessary field then
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# skip over it.
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continue
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rows.append((origin_server_ts, event_id))
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sql = (
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"UPDATE events SET origin_server_ts = ? WHERE event_id = ?"
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)
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for index in range(0, len(rows), INSERT_CLUMP_SIZE):
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clump = rows[index:index + INSERT_CLUMP_SIZE]
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txn.executemany(sql, clump)
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progress = {
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"target_min_stream_id_inclusive": target_min_stream_id,
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"max_stream_id_exclusive": min_stream_id,
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"rows_inserted": rows_inserted + len(rows)
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}
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self._background_update_progress_txn(
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txn, self.EVENT_ORIGIN_SERVER_TS_NAME, progress
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)
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return len(rows)
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result = yield self.runInteraction(
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self.EVENT_ORIGIN_SERVER_TS_NAME, reindex_search_txn
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)
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if not result:
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yield self._end_background_update(self.EVENT_ORIGIN_SERVER_TS_NAME)
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defer.returnValue(result)
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57
synapse/storage/schema/delta/26/ts.py
Normal file
57
synapse/storage/schema/delta/26/ts.py
Normal file
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@ -0,0 +1,57 @@
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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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import logging
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from synapse.storage.prepare_database import get_statements
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import ujson
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logger = logging.getLogger(__name__)
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ALTER_TABLE = (
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"ALTER TABLE events ADD COLUMN origin_server_ts BIGINT;"
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"CREATE INDEX events_ts ON events(origin_server_ts, stream_ordering);"
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)
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def run_upgrade(cur, database_engine, *args, **kwargs):
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for statement in get_statements(ALTER_TABLE.splitlines()):
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cur.execute(statement)
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cur.execute("SELECT MIN(stream_ordering) FROM events")
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rows = cur.fetchall()
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min_stream_id = rows[0][0]
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cur.execute("SELECT MAX(stream_ordering) FROM events")
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rows = cur.fetchall()
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max_stream_id = rows[0][0]
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if min_stream_id is not None and max_stream_id is not None:
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progress = {
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"target_min_stream_id_inclusive": min_stream_id,
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"max_stream_id_exclusive": max_stream_id + 1,
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"rows_inserted": 0,
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}
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progress_json = ujson.dumps(progress)
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sql = (
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"INSERT into background_updates (update_name, progress_json)"
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" VALUES (?, ?)"
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)
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sql = database_engine.convert_param_style(sql)
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cur.execute(sql, ("event_origin_server_ts", progress_json))
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@ -212,11 +212,11 @@ class SearchStore(BackgroundUpdateStore):
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})
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@defer.inlineCallbacks
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def search_room(self, room_id, search_term, keys, limit, pagination_token=None):
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def search_rooms(self, room_ids, search_term, keys, limit, pagination_token=None):
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"""Performs a full text search over events with given keys.
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Args:
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room_id (str): The room_id to search in
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room_id (list): The room_ids to search in
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search_term (str): Search term to search for
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keys (list): List of keys to search in, currently supports
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"content.body", "content.name", "content.topic"
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@ -226,7 +226,15 @@ class SearchStore(BackgroundUpdateStore):
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list of dicts
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"""
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clauses = []
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args = [search_term, room_id]
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args = [search_term]
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# Make sure we don't explode because the person is in too many rooms.
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# We filter the results below regardless.
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if len(room_ids) < 500:
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clauses.append(
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"room_id IN (%s)" % (",".join(["?"] * len(room_ids)),)
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)
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args.extend(room_ids)
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local_clauses = []
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for key in keys:
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@ -239,25 +247,25 @@ class SearchStore(BackgroundUpdateStore):
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if pagination_token:
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try:
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topo, stream = pagination_token.split(",")
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topo = int(topo)
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origin_server_ts, stream = pagination_token.split(",")
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origin_server_ts = int(origin_server_ts)
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stream = int(stream)
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except:
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raise SynapseError(400, "Invalid pagination token")
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clauses.append(
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"(topological_ordering < ?"
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" OR (topological_ordering = ? AND stream_ordering < ?))"
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"(origin_server_ts < ?"
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" OR (origin_server_ts = ? AND stream_ordering < ?))"
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)
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args.extend([topo, topo, stream])
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args.extend([origin_server_ts, origin_server_ts, stream])
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if isinstance(self.database_engine, PostgresEngine):
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sql = (
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"SELECT ts_rank_cd(vector, query) as rank,"
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" topological_ordering, stream_ordering, room_id, event_id"
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" origin_server_ts, stream_ordering, room_id, event_id"
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" FROM plainto_tsquery('english', ?) as query, event_search"
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" NATURAL JOIN events"
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" WHERE vector @@ query AND room_id = ?"
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" WHERE vector @@ query AND "
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)
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elif isinstance(self.database_engine, Sqlite3Engine):
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# We use CROSS JOIN here to ensure we use the right indexes.
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@ -270,24 +278,23 @@ class SearchStore(BackgroundUpdateStore):
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# MATCH unless it uses the full text search index
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sql = (
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"SELECT rank(matchinfo) as rank, room_id, event_id,"
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" topological_ordering, stream_ordering"
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" origin_server_ts, stream_ordering"
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" FROM (SELECT key, event_id, matchinfo(event_search) as matchinfo"
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" FROM event_search"
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" WHERE value MATCH ?"
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" )"
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" CROSS JOIN events USING (event_id)"
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" WHERE room_id = ?"
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" WHERE "
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)
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else:
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# This should be unreachable.
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raise Exception("Unrecognized database engine")
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for clause in clauses:
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sql += " AND " + clause
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sql += " AND ".join(clauses)
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# We add an arbitrary limit here to ensure we don't try to pull the
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# entire table from the database.
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sql += " ORDER BY topological_ordering DESC, stream_ordering DESC LIMIT ?"
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sql += " ORDER BY origin_server_ts DESC, stream_ordering DESC LIMIT ?"
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args.append(limit)
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@ -295,6 +302,8 @@ class SearchStore(BackgroundUpdateStore):
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"search_rooms", self.cursor_to_dict, sql, *args
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)
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results = filter(lambda row: row["room_id"] in room_ids, results)
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events = yield self._get_events([r["event_id"] for r in results])
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event_map = {
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@ -312,7 +321,7 @@ class SearchStore(BackgroundUpdateStore):
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"event": event_map[r["event_id"]],
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"rank": r["rank"],
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"pagination_token": "%s,%s" % (
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r["topological_ordering"], r["stream_ordering"]
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r["origin_server_ts"], r["stream_ordering"]
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),
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}
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for r in results
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