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Added database cache benchmark #81

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Added database cache benchmark #81

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3ec7f40
Added database cache benchmark
Hisham-Pak Mar 29, 2024
3b71fae
Removed cache_benchmarks from benchmark.json
Hisham-Pak Mar 30, 2024
ec0b649
Generate keys and values in setup
Hisham-Pak Mar 30, 2024
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Empty file added benchmarks/cache_benchmarks/__init__.py
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Empty file added benchmarks/cache_benchmarks/database_cache/__init__.py
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73 changes: 73 additions & 0 deletions benchmarks/cache_benchmarks/database_cache/benchmark.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,73 @@
import random

from django.core.cache import caches
from django.core.management import call_command

from ...utils import bench_setup


class DatabaseCacheBackend:
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Do you think we could add coverage for the some of the other backends too? The benchmarks would be the same, it's just a different setting? 🤔

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Can we do this in separate pull request?

def setup(self):
bench_setup()
call_command("createcachetable", verbosity=0)
random.seed(0)

self.cache = caches["db"]
self.int_key = "int_key"
self.cache.set(self.int_key, 0)

def time_add(self):
for _ in range(100):
self.cache.add(self.random_key(), self.random_binary())
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def time_get(self):
for _ in range(100):
self.cache.get(self.random_key())

def time_set(self):
for _ in range(100):
self.cache.set(self.random_key(), self.random_binary())

def time_get_or_set(self):
for _ in range(100):
self.cache.get_or_set(self.random_key(), self.random_binary())

def time_touch(self):
for _ in range(100):
self.cache.touch(self.random_key())

def time_delete(self):
for _ in range(100):
self.cache.delete(self.random_key())

def time_get_many(self):
for _ in range(100):
self.cache.get_many([self.random_key() for x in range(100)])

def time_set_many(self):
for _ in range(100):
self.cache.set_many(
{self.random_key(): self.random_binary() for x in range(100)}
)

def time_delete_many(self):
for _ in range(100):
self.cache.delete_many([self.random_key() for x in range(100)])

def time_clear(self):
for _ in range(100):
self.cache.clear()

def time_incr(self):
for _ in range(100):
self.cache.incr(self.int_key)

def time_decr(self):
for _ in range(100):
self.cache.decr(self.int_key)

def random_key(self):
return "key_{}".format(random.randint(1, 500))

def random_binary(self):
return random.randint(1, 1024**1) * random.randint(0, 255)
8 changes: 8 additions & 0 deletions benchmarks/settings.py
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Expand Up @@ -9,6 +9,13 @@
"default": {"ENGINE": "django.db.backends.sqlite3", "NAME": ":memory:"},
}

CACHES = {
"db": {
"BACKEND": "django.core.cache.backends.db.DatabaseCache",
"LOCATION": "cache_table",
},
}

INSTALLED_APPS = [
"django.contrib.auth",
"django.contrib.contenttypes",
Expand Down Expand Up @@ -54,6 +61,7 @@
"benchmarks.query_benchmarks.query_select_related",
"benchmarks.req_resp_benchmarks.default_middleware",
"benchmarks.req_resp_benchmarks.http_methods",
"benchmarks.cache_benchmarks.database_cache",
]

SECRET_KEY = "NOT REALLY SECRET"
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192 changes: 192 additions & 0 deletions results/benchmarks.json
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Original file line number Diff line number Diff line change
@@ -1,4 +1,196 @@
{
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_add": {
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"code": "class DatabaseCacheBackend:\n def time_add(self):\n for _ in range(100):\n self.cache.add(self.random_key(), self.random_binary())\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_add",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "068ce1f47f80990f0eeb45965d11260da8e178e70c678241a275c2eee908b680",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_clear": {
"code": "class DatabaseCacheBackend:\n def time_clear(self):\n for _ in range(100):\n self.cache.clear()\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_clear",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "949122620be7c68cbd7249e8ef151cd794a7f7e82f2d703ec2d65a3f7b72ab72",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_decr": {
"code": "class DatabaseCacheBackend:\n def time_decr(self):\n for _ in range(100):\n self.cache.decr(self.int_key)\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_decr",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "9c8dfd36603e0b69964f151c3ab330c5653af7069031b664d016925319e39eed",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_delete": {
"code": "class DatabaseCacheBackend:\n def time_delete(self):\n for _ in range(100):\n self.cache.delete(self.random_key())\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_delete",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "07f0a8ee98f405b3c9cdacfa3fbd7d647457be48ca7714da8e56372d37e88fbc",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_delete_many": {
"code": "class DatabaseCacheBackend:\n def time_delete_many(self):\n for _ in range(100):\n self.cache.delete_many([self.random_key() for x in range(100)])\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_delete_many",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "a04f9fcb13aee07e2d95a68d20ac814d4065def9efef59c0472fd293ac63256f",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_get": {
"code": "class DatabaseCacheBackend:\n def time_get(self):\n for _ in range(100):\n self.cache.get(self.random_key())\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_get",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "52a8f75efff5681f972451f3e3af030e973d587ed7c15aaac9ceedd955958e9f",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_get_many": {
"code": "class DatabaseCacheBackend:\n def time_get_many(self):\n for _ in range(100):\n self.cache.get_many([self.random_key() for x in range(100)])\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_get_many",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "7dd0ec68c7105e52259b3898aeb8335e13e48b6b4fe72e7613b922b5378f156c",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_get_or_set": {
"code": "class DatabaseCacheBackend:\n def time_get_or_set(self):\n for _ in range(100):\n self.cache.get_or_set(self.random_key(), self.random_binary())\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_get_or_set",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "e745c4556a6e6d8467ee9d92ffcdd35e46538fa3d3b7f41262fac3741ce408a0",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_incr": {
"code": "class DatabaseCacheBackend:\n def time_incr(self):\n for _ in range(100):\n self.cache.incr(self.int_key)\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_incr",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "2528a8b9f20cd63f856f2433c945a86b1ed47d80067ed274d0658c82a294b55e",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_set": {
"code": "class DatabaseCacheBackend:\n def time_set(self):\n for _ in range(100):\n self.cache.set(self.random_key(), self.random_binary())\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_set",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "531e6b038e1a3c1d508e8384158bcd6a5a8f0fb4e0882f745d4c1857f9bc50aa",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_set_many": {
"code": "class DatabaseCacheBackend:\n def time_set_many(self):\n for _ in range(100):\n self.cache.set_many(\n {self.random_key(): self.random_binary() for x in range(100)}\n )\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_set_many",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "0e00525996147e94dd7c38af71224e7f7cae740572cb1b9c1127cde1b9be5259",
"warmup_time": -1
},
"cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_touch": {
"code": "class DatabaseCacheBackend:\n def time_touch(self):\n for _ in range(100):\n self.cache.touch(self.random_key())\n\n def setup(self):\n bench_setup()\n call_command(\"createcachetable\", verbosity=0)\n random.seed(0)\n \n self.cache = caches[\"db\"]\n self.int_key = \"int_key\"\n self.cache.set(self.int_key, 0)",
"min_run_count": 2,
"name": "cache_benchmarks.database_cache.benchmark.DatabaseCacheBackend.time_touch",
"number": 0,
"param_names": [],
"params": [],
"repeat": 0,
"rounds": 2,
"sample_time": 0.01,
"timeout": 60.0,
"type": "time",
"unit": "seconds",
"version": "1f38b4b59244617c19320bbf8226e74165bba613d89fb314cfec928a8b55dd96",
"warmup_time": -1
},
"data_struct_benchmarks.multi_value_dict.benchmark.MultiValueDictBench.time_multi_value_dict": {
"code": "class MultiValueDictBench:\n def time_multi_value_dict(self):\n for i in range(1000):\n case_dict = MultiValueDict(self.case)\n \n case_dict[\"a\"]\n case_dict[\"b\"]\n case_dict[\"c\"]\n \n case_dict.update(self.update)\n copy.copy(case_dict)\n copy.deepcopy(case_dict)\n \n case_dict.items()\n case_dict.lists()\n for i in case_dict:\n i\n \n case_dict[\"a\"] = \"A\"\n case_dict[\"b\"] = \"B\"\n case_dict[\"c\"] = \"C\"\n\n def setup(self):\n bench_setup()\n self.case = {\"a\": [\"a\"], \"b\": [\"a\", \"b\"], \"c\": [\"a\", \"b\", \"c\"]}\n self.update = {\"a\": [\"a\"], \"b\": [\"a\", \"b\"], \"c\": [\"a\", \"b\", \"c\"]}",
"min_run_count": 2,
Expand Down
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