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add pluggable compression serde #407
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Original file line number | Diff line number | Diff line change |
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from pymemcache.client.base import Client | ||
from pymemcache.serde import ( | ||
CompressedSerde, | ||
pickle_serde, | ||
) | ||
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from faker import Faker | ||
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import pytest | ||
import random | ||
import string | ||
import time | ||
import zstd # type: ignore | ||
import zlib | ||
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fake = Faker(["it_IT", "en_US", "ja_JP"]) | ||
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def get_random_string(length): | ||
letters = string.ascii_letters | ||
chars = string.punctuation | ||
digits = string.digits | ||
total = letters + chars + digits | ||
result_str = "".join(random.choice(total) for i in range(length)) | ||
return result_str | ||
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class CustomObject: | ||
""" | ||
Custom class for verifying serialization | ||
""" | ||
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def __init__(self): | ||
self.number = random.randint(0, 100) | ||
self.string = fake.text() | ||
self.object = fake.profile() | ||
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class CustomObjectValue: | ||
def __init__(self, value): | ||
self.value = value | ||
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def benchmark(count, func, *args, **kwargs): | ||
start = time.time() | ||
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for _ in range(count): | ||
result = func(*args, **kwargs) | ||
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duration = time.time() - start | ||
print(str(duration)) | ||
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return result | ||
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@pytest.fixture(scope="session") | ||
def names(): | ||
names = [] | ||
for _ in range(15): | ||
names.append(fake.name()) | ||
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return names | ||
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@pytest.fixture(scope="session") | ||
def paragraphs(): | ||
paragraphs = [] | ||
for _ in range(15): | ||
paragraphs.append(fake.text()) | ||
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return paragraphs | ||
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@pytest.fixture(scope="session") | ||
def objects(): | ||
objects = [] | ||
for _ in range(15): | ||
objects.append(CustomObject()) | ||
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return objects | ||
Comment on lines
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to
+80
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. nit: these could be list comprehensions. |
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# Always run compression for the benchmarks | ||
min_compress_len = 1 | ||
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default_serde = CompressedSerde(min_compress_len=min_compress_len) | ||
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zlib_serde = CompressedSerde( | ||
compress=lambda value: zlib.compress(value, 9), | ||
decompress=lambda value: zlib.decompress(value), | ||
min_compress_len=min_compress_len, | ||
) | ||
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zstd_serde = CompressedSerde( | ||
compress=lambda value: zstd.compress(value), | ||
decompress=lambda value: zstd.decompress(value), | ||
min_compress_len=min_compress_len, | ||
) | ||
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serializers = [ | ||
None, | ||
default_serde, | ||
zlib_serde, | ||
zstd_serde, | ||
] | ||
ids = ["none", "zlib ", "zlib9", "zstd "] | ||
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@pytest.mark.benchmark() | ||
@pytest.mark.parametrize("serde", serializers, ids=ids) | ||
def test_bench_compress_set_strings(count, host, port, serde, names): | ||
client = Client((host, port), serde=serde, encoding="utf-8") | ||
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def test(): | ||
for index, name in enumerate(names): | ||
key = f"name_{index}" | ||
client.set(key, name) | ||
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benchmark(count, test) | ||
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@pytest.mark.benchmark() | ||
@pytest.mark.parametrize("serde", serializers, ids=ids) | ||
def test_bench_compress_get_strings(count, host, port, serde, names): | ||
client = Client((host, port), serde=serde, encoding="utf-8") | ||
for index, name in enumerate(names): | ||
key = f"name_{index}" | ||
client.set(key, name) | ||
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def test(): | ||
for index, _ in enumerate(names): | ||
key = f"name_{index}" | ||
client.get(key) | ||
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benchmark(count, test) | ||
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@pytest.mark.benchmark() | ||
@pytest.mark.parametrize("serde", serializers, ids=ids) | ||
def test_bench_compress_set_large_strings(count, host, port, serde, paragraphs): | ||
client = Client((host, port), serde=serde, encoding="utf-8") | ||
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def test(): | ||
for index, p in enumerate(paragraphs): | ||
key = f"paragraph_{index}" | ||
client.set(key, p) | ||
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benchmark(count, test) | ||
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@pytest.mark.benchmark() | ||
@pytest.mark.parametrize("serde", serializers, ids=ids) | ||
def test_bench_compress_get_large_strings(count, host, port, serde, paragraphs): | ||
client = Client((host, port), serde=serde, encoding="utf-8") | ||
for index, p in enumerate(paragraphs): | ||
key = f"paragraphs_{index}" | ||
client.set(key, p) | ||
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def test(): | ||
for index, _ in enumerate(paragraphs): | ||
key = f"paragraphs_{index}" | ||
client.get(key) | ||
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benchmark(count, test) | ||
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@pytest.mark.benchmark() | ||
@pytest.mark.parametrize("serde", serializers, ids=ids) | ||
def test_bench_compress_set_objects(count, host, port, serde, objects): | ||
client = Client((host, port), serde=serde, encoding="utf-8") | ||
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def test(): | ||
for index, o in enumerate(objects): | ||
key = f"objects_{index}" | ||
client.set(key, o) | ||
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benchmark(count, test) | ||
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@pytest.mark.benchmark() | ||
@pytest.mark.parametrize("serde", serializers, ids=ids) | ||
def test_bench_compress_get_objects(count, host, port, serde, objects): | ||
client = Client((host, port), serde=serde, encoding="utf-8") | ||
for index, o in enumerate(objects): | ||
key = f"objects_{index}" | ||
client.set(key, o) | ||
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def test(): | ||
for index, _ in enumerate(objects): | ||
key = f"objects_{index}" | ||
client.get(key) | ||
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benchmark(count, test) | ||
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@pytest.mark.benchmark() | ||
def test_optimal_compression_length(): | ||
for length in range(5, 2000): | ||
input_data = get_random_string(length) | ||
start = len(input_data) | ||
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for index, serializer in enumerate(serializers[1:]): | ||
name = ids[index + 1] | ||
value, _ = serializer.serialize("foo", input_data) | ||
end = len(value) | ||
print(f"serializer={name}\t start={start}\t end={end}") | ||
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@pytest.mark.benchmark() | ||
def test_optimal_compression_length_objects(): | ||
for length in range(5, 2000): | ||
input_data = get_random_string(length) | ||
obj = CustomObjectValue(input_data) | ||
start = len(pickle_serde.serialize("foo", obj)[0]) | ||
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for index, serializer in enumerate(serializers[1:]): | ||
name = ids[index + 1] | ||
value, _ = serializer.serialize("foo", obj) | ||
end = len(value) | ||
print(f"serializer={name}\t start={start}\t end={end}") |
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Any insight into how this flag still maps back to python-memcached. Also would this flag cause any issues since two folks can use the same flag but different compression algorithms?
Also I wonder what compatibility we still have with python-memcached before this change and now.
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Relatedly, a way to handle a generally compressed values with different compressors is to introduce a prefix.
... and then prepend that prefix on serialization (e.g.
value = prefix + "|" + value
). On deserialization, validate and strip the prefix.There was a problem hiding this comment.
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python-memcached used zlib by default but I don't think at this point there is any chance of compatibility since we are supporting multiple versions of pickle and we wouldn't be able to guarantee versions across the serialization.
I like the idea of adding a prefix on there so we identify which compressor was used. In the end the client is only going to have one (via serde) so its not going to be able to handle decompressing/compressing multiple versions but we could at least raise an error that says "Found keys compressed with a different serializer".
I don't know if we do this today though. For example, we don't track pickle versions so we can select the correct one
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@jparise @jogo How strongly are you feeling that you want to be able to identify the compression algorithm between clients that are configured with different
serde
? I have a feeling its not that high of a priority since we don't do that today with the pickle serializer but wanted to checkThere was a problem hiding this comment.
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I think to do it properly we'd have to do what we discussed before, which I'm not really a fan of:
#53 (comment)
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I agree it's not a high priority now. I mainly wanted to explicitly make sure we weren't trying to keep any python-memcached compatibility.