1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
|
# Copyright 2020 Matrix.org Foundation C.I.C.
#
# 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 unittest.mock import patch
from synapse.config.cache import CacheConfig, add_resizable_cache
from synapse.util.caches.lrucache import LruCache
from tests.unittest import TestCase
# Patch the global _CACHES so that each test runs against its own state.
@patch("synapse.config.cache._CACHES", new_callable=dict)
class CacheConfigTests(TestCase):
def setUp(self):
# Reset caches before each test
self.config = CacheConfig()
def tearDown(self):
self.config.reset()
def test_individual_caches_from_environ(self, _caches):
"""
Individual cache factors will be loaded from the environment.
"""
config = {}
self.config._environ = {
"SYNAPSE_CACHE_FACTOR_SOMETHING_OR_OTHER": "2",
"SYNAPSE_NOT_CACHE": "BLAH",
}
self.config.read_config(config, config_dir_path="", data_dir_path="")
self.assertEqual(dict(self.config.cache_factors), {"something_or_other": 2.0})
def test_config_overrides_environ(self, _caches):
"""
Individual cache factors defined in the environment will take precedence
over those in the config.
"""
config = {"caches": {"per_cache_factors": {"foo": 2, "bar": 3}}}
self.config._environ = {
"SYNAPSE_CACHE_FACTOR_SOMETHING_OR_OTHER": "2",
"SYNAPSE_CACHE_FACTOR_FOO": 1,
}
self.config.read_config(config, config_dir_path="", data_dir_path="")
self.assertEqual(
dict(self.config.cache_factors),
{"foo": 1.0, "bar": 3.0, "something_or_other": 2.0},
)
def test_individual_instantiated_before_config_load(self, _caches):
"""
If a cache is instantiated before the config is read, it will be given
the default cache size in the interim, and then resized once the config
is loaded.
"""
cache = LruCache(100)
add_resizable_cache("foo", cache_resize_callback=cache.set_cache_factor)
self.assertEqual(cache.max_size, 50)
config = {"caches": {"per_cache_factors": {"foo": 3}}}
self.config.read_config(config)
self.assertEqual(cache.max_size, 300)
def test_individual_instantiated_after_config_load(self, _caches):
"""
If a cache is instantiated after the config is read, it will be
immediately resized to the correct size given the per_cache_factor if
there is one.
"""
config = {"caches": {"per_cache_factors": {"foo": 2}}}
self.config.read_config(config, config_dir_path="", data_dir_path="")
cache = LruCache(100)
add_resizable_cache("foo", cache_resize_callback=cache.set_cache_factor)
self.assertEqual(cache.max_size, 200)
def test_global_instantiated_before_config_load(self, _caches):
"""
If a cache is instantiated before the config is read, it will be given
the default cache size in the interim, and then resized to the new
default cache size once the config is loaded.
"""
cache = LruCache(100)
add_resizable_cache("foo", cache_resize_callback=cache.set_cache_factor)
self.assertEqual(cache.max_size, 50)
config = {"caches": {"global_factor": 4}}
self.config.read_config(config, config_dir_path="", data_dir_path="")
self.assertEqual(cache.max_size, 400)
def test_global_instantiated_after_config_load(self, _caches):
"""
If a cache is instantiated after the config is read, it will be
immediately resized to the correct size given the global factor if there
is no per-cache factor.
"""
config = {"caches": {"global_factor": 1.5}}
self.config.read_config(config, config_dir_path="", data_dir_path="")
cache = LruCache(100)
add_resizable_cache("foo", cache_resize_callback=cache.set_cache_factor)
self.assertEqual(cache.max_size, 150)
def test_cache_with_asterisk_in_name(self, _caches):
"""Some caches have asterisks in their name, test that they are set correctly."""
config = {
"caches": {
"per_cache_factors": {"*cache_a*": 5, "cache_b": 6, "cache_c": 2}
}
}
self.config._environ = {
"SYNAPSE_CACHE_FACTOR_CACHE_A": "2",
"SYNAPSE_CACHE_FACTOR_CACHE_B": 3,
}
self.config.read_config(config, config_dir_path="", data_dir_path="")
cache_a = LruCache(100)
add_resizable_cache("*cache_a*", cache_resize_callback=cache_a.set_cache_factor)
self.assertEqual(cache_a.max_size, 200)
cache_b = LruCache(100)
add_resizable_cache("*Cache_b*", cache_resize_callback=cache_b.set_cache_factor)
self.assertEqual(cache_b.max_size, 300)
cache_c = LruCache(100)
add_resizable_cache("*cache_c*", cache_resize_callback=cache_c.set_cache_factor)
self.assertEqual(cache_c.max_size, 200)
def test_apply_cache_factor_from_config(self, _caches):
"""Caches can disable applying cache factor updates, mainly used by
event cache size.
"""
config = {"caches": {"event_cache_size": "10k"}}
self.config.read_config(config, config_dir_path="", data_dir_path="")
cache = LruCache(
max_size=self.config.event_cache_size,
apply_cache_factor_from_config=False,
)
add_resizable_cache("event_cache", cache_resize_callback=cache.set_cache_factor)
self.assertEqual(cache.max_size, 10240)
|
