synapse-product/synapse/storage/engines/sqlite3.py
Mark Haines d5fb561709 Optionally make committing to postgres asynchronous.
Useful when running tests when you don't care whether the server
will lose data that it claims that it has committed.
2016-06-20 17:53:38 +01:00

69 lines
2.0 KiB
Python

# -*- 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 synapse.storage.prepare_database import prepare_database
import struct
class Sqlite3Engine(object):
single_threaded = True
def __init__(self, database_module, database_config):
self.module = database_module
def check_database(self, txn):
pass
def convert_param_style(self, sql):
return sql
def on_new_connection(self, db_conn):
prepare_database(db_conn, self, config=None)
db_conn.create_function("rank", 1, _rank)
def is_deadlock(self, error):
return False
def is_connection_closed(self, conn):
return False
def lock_table(self, txn, table):
return
# Following functions taken from: https://github.com/coleifer/peewee
def _parse_match_info(buf):
bufsize = len(buf)
return [struct.unpack('@I', buf[i:i + 4])[0] for i in range(0, bufsize, 4)]
def _rank(raw_match_info):
"""Handle match_info called w/default args 'pcx' - based on the example rank
function http://sqlite.org/fts3.html#appendix_a
"""
match_info = _parse_match_info(raw_match_info)
score = 0.0
p, c = match_info[:2]
for phrase_num in range(p):
phrase_info_idx = 2 + (phrase_num * c * 3)
for col_num in range(c):
col_idx = phrase_info_idx + (col_num * 3)
x1, x2 = match_info[col_idx:col_idx + 2]
if x1 > 0:
score += float(x1) / x2
return score