# -*- coding: utf-8 -*-
# Copyright 2015, 2016 OpenMarket Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from collections import namedtuple
import logging
import re
import simplejson as json
from twisted.internet import defer
from .background_updates import BackgroundUpdateStore
from synapse.api.errors import SynapseError
from synapse.storage.engines import PostgresEngine, Sqlite3Engine
logger = logging.getLogger(__name__)
SearchEntry = namedtuple('SearchEntry', [
'key', 'value', 'event_id', 'room_id', 'stream_ordering',
'origin_server_ts',
])
class SearchStore(BackgroundUpdateStore):
EVENT_SEARCH_UPDATE_NAME = "event_search"
EVENT_SEARCH_ORDER_UPDATE_NAME = "event_search_order"
EVENT_SEARCH_USE_GIST_POSTGRES_NAME = "event_search_postgres_gist"
EVENT_SEARCH_USE_GIN_POSTGRES_NAME = "event_search_postgres_gin"
def __init__(self, db_conn, hs):
super(SearchStore, self).__init__(db_conn, hs)
self.register_background_update_handler(
self.EVENT_SEARCH_UPDATE_NAME, self._background_reindex_search
)
self.register_background_update_handler(
self.EVENT_SEARCH_ORDER_UPDATE_NAME,
self._background_reindex_search_order
)
# we used to have a background update to turn the GIN index into a
# GIST one; we no longer do that (obviously) because we actually want
# a GIN index. However, it's possible that some people might still have
# the background update queued, so we register a handler to clear the
# background update.
self.register_noop_background_update(
self.EVENT_SEARCH_USE_GIST_POSTGRES_NAME,
)
self.register_background_update_handler(
self.EVENT_SEARCH_USE_GIN_POSTGRES_NAME,
self._background_reindex_gin_search
)
@defer.inlineCallbacks
def _background_reindex_search(self, progress, batch_size):
# we work through the events table from highest stream id to lowest
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)
TYPES = ["m.room.name", "m.room.message", "m.room.topic"]
def reindex_search_txn(txn):
sql = (
"SELECT stream_ordering, event_id, room_id, type, json, "
" origin_server_ts FROM events"
" JOIN event_json USING (room_id, event_id)"
" 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))
# we could stream straight from the results into
# store_search_entries_txn with a generator function, but that
# would mean having two cursors open on the database at once.
# Instead we just build a list of results.
rows = self.cursor_to_dict(txn)
if not rows:
return 0
min_stream_id = rows[-1]["stream_ordering"]
event_search_rows = []
for row in rows:
try:
event_id = row["event_id"]
room_id = row["room_id"]
etype = row["type"]
stream_ordering = row["stream_ordering"]
origin_server_ts = row["origin_server_ts"]
try:
event_json = json.loads(row["json"])
content = event_json["content"]
except Exception:
continue
if etype == "m.room.message":
key = "content.body"
value = content["body"]
elif etype == "m.room.topic":
key = "content.topic"
value = content["topic"]
elif etype == "m.room.name":
key = "content.name"
value = content["name"]
else:
raise Exception("unexpected event type %s" % etype)
except (KeyError, AttributeError):
# If the event is missing a necessary field then
# skip over it.
continue
if not isinstance(value, basestring):
# If the event body, name or topic isn't a string
# then skip over it
continue
event_search_rows.append(SearchEntry(
key=key,
value=value,
event_id=event_id,
room_id=room_id,
stream_ordering=stream_ordering,
origin_server_ts=origin_server_ts,
))
self.store_search_entries_txn(txn, event_search_rows)
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 _background_reindex_gin_search(self, progress, batch_size):
"""This handles old synapses which used GIST indexes, if any;
converting them back to be GIN as per the actual schema.
"""
def create_index(conn):
conn.rollback()
# we have to set autocommit, because postgres refuses to
# CREATE INDEX CONCURRENTLY without it.
conn.set_session(autocommit=True)
try:
c = conn.cursor()
# if we skipped the conversion to GIST, we may already/still
# have an event_search_fts_idx; unfortunately postgres 9.4
# doesn't support CREATE INDEX IF EXISTS so we just catch the
# exception and ignore it.
import psycopg2
try:
c.execute(
"CREATE INDEX CONCURRENTLY event_search_fts_idx"
" ON event_search USING GIN (vector)"
)
except psycopg2.ProgrammingError as e:
logger.warn(
"Ignoring error %r when trying to switch from GIST to GIN",
e
)
# we should now be able to delete the GIST index.
c.execute(
"DROP INDEX IF EXISTS event_search_fts_idx_gist"
)
finally:
conn.set_session(autocommit=False)
if isinstance(self.database_engine, PostgresEngine):
yield self.runWithConnection(create_index)
yield self._end_background_update(self.EVENT_SEARCH_USE_GIN_POSTGRES_NAME)
defer.returnValue(1)
@defer.inlineCallbacks
def _background_reindex_search_order(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)
have_added_index = progress['have_added_indexes']
if not have_added_index:
def create_index(conn):
conn.rollback()
conn.set_session(autocommit=True)
c = conn.cursor()
# We create with NULLS FIRST so that when we search *backwards*
# we get the ones with non null origin_server_ts *first*
c.execute(
"CREATE INDEX CONCURRENTLY event_search_room_order ON event_search("
"room_id, origin_server_ts NULLS FIRST, stream_ordering NULLS FIRST)"
)
c.execute(
"CREATE INDEX CONCURRENTLY event_search_order ON event_search("
"origin_server_ts NULLS FIRST, stream_ordering NULLS FIRST)"
)
conn.set_session(autocommit=False)
yield self.runWithConnection(create_index)
pg = dict(progress)
pg["have_added_indexes"] = True
yield self.runInteraction(
self.EVENT_SEARCH_ORDER_UPDATE_NAME,
self._background_update_progress_txn,
self.EVENT_SEARCH_ORDER_UPDATE_NAME, pg,
)
def reindex_search_txn(txn):
sql = (
"UPDATE event_search AS es SET stream_ordering = e.stream_ordering,"
" origin_server_ts = e.origin_server_ts"
" FROM events AS e"
" WHERE e.event_id = es.event_id"
" AND ? <= e.stream_ordering AND e.stream_ordering < ?"
" RETURNING es.stream_ordering"
)
min_stream_id = max_stream_id - batch_size
txn.execute(sql, (min_stream_id, max_stream_id))
rows = txn.fetchall()
if min_stream_id < target_min_stream_id:
# We've recached the end.
return len(rows), False
progress = {
"target_min_stream_id_inclusive": target_min_stream_id,
"max_stream_id_exclusive": min_stream_id,
"rows_inserted": rows_inserted + len(rows),
"have_added_indexes": True,
}
self._background_update_progress_txn(
txn, self.EVENT_SEARCH_ORDER_UPDATE_NAME, progress
)
return len(rows), True
num_rows, finished = yield self.runInteraction(
self.EVENT_SEARCH_ORDER_UPDATE_NAME, reindex_search_txn
)
if not finished:
yield self._end_background_update(self.EVENT_SEARCH_ORDER_UPDATE_NAME)
defer.returnValue(num_rows)
def store_event_search_txn(self, txn, event, key, value):
"""Add event to the search table
Args:
txn (cursor):
event (EventBase):
key (str):
value (str):
"""
self.store_search_entries_txn(
txn,
(SearchEntry(
key=key,
value=value,
event_id=event.event_id,
room_id=event.room_id,
stream_ordering=event.internal_metadata.stream_ordering,
origin_server_ts=event.origin_server_ts,
),),
)
def store_search_entries_txn(self, txn, entries):
"""Add entries to the search table
Args:
txn (cursor):
entries (iterable[SearchEntry]):
entries to be added to the table
"""
if isinstance(self.database_engine, PostgresEngine):
sql = (
"INSERT INTO event_search"
" (event_id, room_id, key, vector, stream_ordering, origin_server_ts)"
" VALUES (?,?,?,to_tsvector('english', ?),?,?)"
)
args = ((
entry.event_id, entry.room_id, entry.key, entry.value,
entry.stream_ordering, entry.origin_server_ts,
) for entry in entries)
# inserts to a GIN index are normally batched up into a pending
# list, and then all committed together once the list gets to a
# certain size. The trouble with that is that postgres (pre-9.5)
# uses work_mem to determine the length of the list, and work_mem
# is typically very large.
#
# We therefore reduce work_mem while we do the insert.
#
# (postgres 9.5 uses the separate gin_pending_list_limit setting,
# so doesn't suffer the same problem, but changing work_mem will
# be harmless)
#
# Note that we don't need to worry about restoring it on
# exception, because exceptions will cause the transaction to be
# rolled back, including the effects of the SET command.
#
# Also: we use SET rather than SET LOCAL because there's lots of
# other stuff going on in this transaction, which want to have the
# normal work_mem setting.
txn.execute("SET work_mem='256kB'")
txn.executemany(sql, args)
txn.execute("RESET work_mem")
elif isinstance(self.database_engine, Sqlite3Engine):
sql = (
"INSERT INTO event_search (event_id, room_id, key, value)"
" VALUES (?,?,?,?)"
)
args = ((
entry.event_id, entry.room_id, entry.key, entry.value,
) for entry in entries)
txn.executemany(sql, args)
else:
# This should be unreachable.
raise Exception("Unrecognized database engine")
@defer.inlineCallbacks
def search_msgs(self, room_ids, search_term, keys):
"""Performs a full text search over events with given keys.
Args:
room_ids (list): List of room ids to search in
search_term (str): Search term to search for
keys (list): List of keys to search in, currently supports
"content.body", "content.name", "content.topic"
Returns:
list of dicts
"""
clauses = []
search_query = search_query = _parse_query(self.database_engine, search_term)
args = []
# Make sure we don't explode because the person is in too many rooms.
# We filter the results below regardless.
if len(room_ids) < 500:
clauses.append(
"room_id IN (%s)" % (",".join(["?"] * len(room_ids)),)
)
args.extend(room_ids)
local_clauses = []
for key in keys:
local_clauses.append("key = ?")
args.append(key)
clauses.append(
"(%s)" % (" OR ".join(local_clauses),)
)
count_args = args
count_clauses = clauses
if isinstance(self.database_engine, PostgresEngine):
sql = (
"SELECT ts_rank_cd(vector, to_tsquery('english', ?)) AS rank,"
" room_id, event_id"
" FROM event_search"
" WHERE vector @@ to_tsquery('english', ?)"
)
args = [search_query, search_query] + args
count_sql = (
"SELECT room_id, count(*) as count FROM event_search"
" WHERE vector @@ to_tsquery('english', ?)"
)
count_args = [search_query] + count_args
elif isinstance(self.database_engine, Sqlite3Engine):
sql = (
"SELECT rank(matchinfo(event_search)) as rank, room_id, event_id"
" FROM event_search"
" WHERE value MATCH ?"
)
args = [search_query] + args
count_sql = (
"SELECT room_id, count(*) as count FROM event_search"
" WHERE value MATCH ?"
)
count_args = [search_term] + count_args
else:
# This should be unreachable.
raise Exception("Unrecognized database engine")
for clause in clauses:
sql += " AND " + clause
for clause in count_clauses:
count_sql += " AND " + clause
# We add an arbitrary limit here to ensure we don't try to pull the
# entire table from the database.
sql += " ORDER BY rank DESC LIMIT 500"
results = yield self._execute(
"search_msgs", self.cursor_to_dict, sql, *args
)
results = filter(lambda row: row["room_id"] in room_ids, results)
events = yield self._get_events([r["event_id"] for r in results])
event_map = {
ev.event_id: ev
for ev in events
}
highlights = None
if isinstance(self.database_engine, PostgresEngine):
highlights = yield self._find_highlights_in_postgres(search_query, events)
count_sql += " GROUP BY room_id"
count_results = yield self._execute(
"search_rooms_count", self.cursor_to_dict, count_sql, *count_args
)
count = sum(row["count"] for row in count_results if row["room_id"] in room_ids)
defer.returnValue({
"results": [
{
"event": event_map[r["event_id"]],
"rank": r["rank"],
}
for r in results
if r["event_id"] in event_map
],
"highlights": highlights,
"count": count,
})
@defer.inlineCallbacks
def search_rooms(self, room_ids, search_term, keys, limit, pagination_token=None):
"""Performs a full text search over events with given keys.
Args:
room_id (list): The room_ids to search in
search_term (str): Search term to search for
keys (list): List of keys to search in, currently supports
"content.body", "content.name", "content.topic"
pagination_token (str): A pagination token previously returned
Returns:
list of dicts
"""
clauses = []
search_query = search_query = _parse_query(self.database_engine, search_term)
args = []
# Make sure we don't explode because the person is in too many rooms.
# We filter the results below regardless.
if len(room_ids) < 500:
clauses.append(
"room_id IN (%s)" % (",".join(["?"] * len(room_ids)),)
)
args.extend(room_ids)
local_clauses = []
for key in keys:
local_clauses.append("key = ?")
args.append(key)
clauses.append(
"(%s)" % (" OR ".join(local_clauses),)
)
# take copies of the current args and clauses lists, before adding
# pagination clauses to main query.
count_args = list(args)
count_clauses = list(clauses)
if pagination_token:
try:
origin_server_ts, stream = pagination_token.split(",")
origin_server_ts = int(origin_server_ts)
stream = int(stream)
except Exception:
raise SynapseError(400, "Invalid pagination token")
clauses.append(
"(origin_server_ts < ?"
" OR (origin_server_ts = ? AND stream_ordering < ?))"
)
args.extend([origin_server_ts, origin_server_ts, stream])
if isinstance(self.database_engine, PostgresEngine):
sql = (
"SELECT ts_rank_cd(vector, to_tsquery('english', ?)) as rank,"
" origin_server_ts, stream_ordering, room_id, event_id"
" FROM event_search"
" WHERE vector @@ to_tsquery('english', ?) AND "
)
args = [search_query, search_query] + args
count_sql = (
"SELECT room_id, count(*) as count FROM event_search"
" WHERE vector @@ to_tsquery('english', ?) AND "
)
count_args = [search_query] + count_args
elif isinstance(self.database_engine, Sqlite3Engine):
# We use CROSS JOIN here to ensure we use the right indexes.
# https://sqlite.org/optoverview.html#crossjoin
#
# We want to use the full text search index on event_search to
# extract all possible matches first, then lookup those matches
# in the events table to get the topological ordering. We need
# to use the indexes in this order because sqlite refuses to
# MATCH unless it uses the full text search index
sql = (
"SELECT rank(matchinfo) as rank, room_id, event_id,"
" origin_server_ts, stream_ordering"
" FROM (SELECT key, event_id, matchinfo(event_search) as matchinfo"
" FROM event_search"
" WHERE value MATCH ?"
" )"
" CROSS JOIN events USING (event_id)"
" WHERE "
)
args = [search_query] + args
count_sql = (
"SELECT room_id, count(*) as count FROM event_search"
" WHERE value MATCH ? AND "
)
count_args = [search_term] + count_args
else:
# This should be unreachable.
raise Exception("Unrecognized database engine")
sql += " AND ".join(clauses)
count_sql += " AND ".join(count_clauses)
# We add an arbitrary limit here to ensure we don't try to pull the
# entire table from the database.
if isinstance(self.database_engine, PostgresEngine):
sql += (
" ORDER BY origin_server_ts DESC NULLS LAST,"
" stream_ordering DESC NULLS LAST LIMIT ?"
)
elif isinstance(self.database_engine, Sqlite3Engine):
sql += " ORDER BY origin_server_ts DESC, stream_ordering DESC LIMIT ?"
else:
raise Exception("Unrecognized database engine")
args.append(limit)
results = yield self._execute(
"search_rooms", self.cursor_to_dict, sql, *args
)
results = filter(lambda row: row["room_id"] in room_ids, results)
events = yield self._get_events([r["event_id"] for r in results])
event_map = {
ev.event_id: ev
for ev in events
}
highlights = None
if isinstance(self.database_engine, PostgresEngine):
highlights = yield self._find_highlights_in_postgres(search_query, events)
count_sql += " GROUP BY room_id"
count_results = yield self._execute(
"search_rooms_count", self.cursor_to_dict, count_sql, *count_args
)
count = sum(row["count"] for row in count_results if row["room_id"] in room_ids)
defer.returnValue({
"results": [
{
"event": event_map[r["event_id"]],
"rank": r["rank"],
"pagination_token": "%s,%s" % (
r["origin_server_ts"], r["stream_ordering"]
),
}
for r in results
if r["event_id"] in event_map
],
"highlights": highlights,
"count": count,
})
def _find_highlights_in_postgres(self, search_query, events):
"""Given a list of events and a search term, return a list of words
that match from the content of the event.
This is used to give a list of words that clients can match against to
highlight the matching parts.
Args:
search_query (str)
events (list): A list of events
Returns:
deferred : A set of strings.
"""
def f(txn):
highlight_words = set()
for event in events:
# As a hack we simply join values of all possible keys. This is
# fine since we're only using them to find possible highlights.
values = []
for key in ("body", "name", "topic"):
v = event.content.get(key, None)
if v:
values.append(v)
if not values:
continue
value = " ".join(values)
# We need to find some values for StartSel and StopSel that
# aren't in the value so that we can pick results out.
start_sel = "<"
stop_sel = ">"
while start_sel in value:
start_sel += "<"
while stop_sel in value:
stop_sel += ">"
query = "SELECT ts_headline(?, to_tsquery('english', ?), %s)" % (
_to_postgres_options({
"StartSel": start_sel,
"StopSel": stop_sel,
"MaxFragments": "50",
})
)
txn.execute(query, (value, search_query,))
headline, = txn.fetchall()[0]
# Now we need to pick the possible highlights out of the haedline
# result.
matcher_regex = "%s(.*?)%s" % (
re.escape(start_sel),
re.escape(stop_sel),
)
res = re.findall(matcher_regex, headline)
highlight_words.update([r.lower() for r in res])
return highlight_words
return self.runInteraction("_find_highlights", f)
def _to_postgres_options(options_dict):
return "'%s'" % (
",".join("%s=%s" % (k, v) for k, v in options_dict.items()),
)
def _parse_query(database_engine, search_term):
"""Takes a plain unicode string from the user and converts it into a form
that can be passed to database.
We use this so that we can add prefix matching, which isn't something
that is supported by default.
"""
# Pull out the individual words, discarding any non-word characters.
results = re.findall(r"([\w\-]+)", search_term, re.UNICODE)
if isinstance(database_engine, PostgresEngine):
return " & ".join(result + ":*" for result in results)
elif isinstance(database_engine, Sqlite3Engine):
return " & ".join(result + "*" for result in results)
else:
# This should be unreachable.
raise Exception("Unrecognized database engine")