Merge pull request #359 from matrix-org/markjh/incremental_indexing

Incremental background updates for db indexes
This commit is contained in:
Erik Johnston 2015-11-11 17:19:51 +00:00
commit e21cef9bb5
8 changed files with 491 additions and 76 deletions

View file

@ -15,7 +15,7 @@
from twisted.internet import defer
from _base import SQLBaseStore
from .background_updates import BackgroundUpdateStore
from synapse.api.errors import SynapseError
from synapse.storage.engines import PostgresEngine, Sqlite3Engine
@ -25,7 +25,106 @@ import logging
logger = logging.getLogger(__name__)
class SearchStore(SQLBaseStore):
class SearchStore(BackgroundUpdateStore):
EVENT_SEARCH_UPDATE_NAME = "event_search"
def __init__(self, hs):
super(SearchStore, self).__init__(hs)
self.register_background_update_handler(
self.EVENT_SEARCH_UPDATE_NAME, self._background_reindex_search
)
@defer.inlineCallbacks
def _background_reindex_search(self, progress, batch_size):
target_min_stream_id = progress["target_min_stream_id_inclusive"]
max_stream_id = progress["max_stream_id_exclusive"]
rows_inserted = progress.get("rows_inserted", 0)
INSERT_CLUMP_SIZE = 1000
TYPES = ["m.room.name", "m.room.message", "m.room.topic"]
def reindex_search_txn(txn):
sql = (
"SELECT stream_ordering, event_id FROM events"
" WHERE ? <= stream_ordering AND stream_ordering < ?"
" AND (%s)"
" ORDER BY stream_ordering DESC"
" LIMIT ?"
) % (" OR ".join("type = '%s'" % (t,) for t in TYPES),)
txn.execute(sql, (target_min_stream_id, max_stream_id, batch_size))
rows = txn.fetchall()
if not rows:
return 0
min_stream_id = rows[-1][0]
event_ids = [row[1] for row in rows]
events = self._get_events_txn(txn, event_ids)
event_search_rows = []
for event in events:
try:
event_id = event.event_id
room_id = event.room_id
content = event.content
if event.type == "m.room.message":
key = "content.body"
value = content["body"]
elif event.type == "m.room.topic":
key = "content.topic"
value = content["topic"]
elif event.type == "m.room.name":
key = "content.name"
value = content["name"]
except (KeyError, AttributeError):
# If the event is missing a necessary field then
# skip over it.
continue
event_search_rows.append((event_id, room_id, key, value))
if isinstance(self.database_engine, PostgresEngine):
sql = (
"INSERT INTO event_search (event_id, room_id, key, vector)"
" VALUES (?,?,?,to_tsvector('english', ?))"
)
elif isinstance(self.database_engine, Sqlite3Engine):
sql = (
"INSERT INTO event_search (event_id, room_id, key, value)"
" VALUES (?,?,?,?)"
)
else:
# This should be unreachable.
raise Exception("Unrecognized database engine")
for index in range(0, len(event_search_rows), INSERT_CLUMP_SIZE):
clump = event_search_rows[index:index + INSERT_CLUMP_SIZE]
txn.executemany(sql, clump)
progress = {
"target_min_stream_id_inclusive": target_min_stream_id,
"max_stream_id_exclusive": min_stream_id,
"rows_inserted": rows_inserted + len(event_search_rows)
}
self._background_update_progress_txn(
txn, self.EVENT_SEARCH_UPDATE_NAME, progress
)
return len(event_search_rows)
result = yield self.runInteraction(
self.EVENT_SEARCH_UPDATE_NAME, reindex_search_txn
)
if not result:
yield self._end_background_update(self.EVENT_SEARCH_UPDATE_NAME)
defer.returnValue(result)
@defer.inlineCallbacks
def search_msgs(self, room_ids, search_term, keys):
"""Performs a full text search over events with given keys.