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add pluggable compression serde #407
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FLAG_BYTES = 0 | ||
FLAG_PICKLE = 1 << 0 | ||
FLAG_INTEGER = 1 << 1 | ||
FLAG_LONG = 1 << 2 | ||
FLAG_COMPRESSED = 1 << 3 # unused, to main compatibility with python-memcached |
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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.
serde = CompressedSerde(..., prefix="z")
... and then prepend that prefix on serialization (e.g. value = prefix + "|" + value
). On deserialization, validate and strip the prefix.
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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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I think to do it properly we'd have to do what we discussed before, which I'm not really a fan of:
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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.
Here is how I chose the
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Thanks!
@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 |
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nit: these could be list comprehensions.
This adds a new class
CompressedSerde
which allows you to use it as an entrypoint to compression. It defaults to usingzlib
and has immediate benefits on the size of messages stored in memcached but it also hascompress
anddecompress
as pluggable points if you want to use a stronger compression algorithm likelz4
.