Comments (1)
Thanks for opening this, I hadn't heard of ormsgpack
before. I've added it to our benchmarks, see the msgpack benchmarks here.
A brief summary:
- Without type information,
msgspec
is roughly 1.3x faster at encoding and 1.5x faster at decoding thanormsgpack
- When a schema is provided (so validation & decoding into dataclass-like objects is done),
msgspec
is roughly 1.4x faster at encoding and 2.1x faster at decoding thanormsgpack
This may seem counterintuitive - how can msgspec
be faster at decoding AND validating than decoding alone? This is due to two reasons:
msgspec.Struct
types are much more efficient datastructures than dicts, so decoding into a struct type is a cheaper operation- Schema information lets us take some shortcuts when decoding to improve efficiency
Anyway, the gist is that
msgspec
is definitely faster thanormsgpack
in all casesmsgspec
will certainly be faster thanormsgpack
+pydantic
for decoding and validating msgpack messages.
I originally wrote msgspec
specifically as an efficient pydantic-like thing with a high-performance msgpack decoder, so your use case sounds like the ideal case for this library. If you decide to try it out, please let me know if you run into any rough edges.
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Related Issues (20)
- ForwardRef is not supported
- License discrepancy HOT 1
- Support freezegun fake types
- Let json.schema take an enc_hook for handling default values of custom types
- Support encoding any Enum value type
- Json Encoder: dataclass classes are encoded to empty dict
- Tighten typing of msgspec.json.schema
- Support numeric constraints for Decimal values
- Support decoding empty strings as unset for all field types
- Does msgspec have a concept of schema mode?
- Add an option to disable constraint checks
- Ability to add an example to a Struct as output to the JSON schema
- Unable to encode `lxml.etree._ElementUnicodeResult`
- fallback to dict for unknown type in tagged union? HOT 3
- Multiple types to same Struct HOT 1
- Encode field name
- msgspec.json.decode parsing a float value HOT 10
- Encode_into might not write data at the intended offset location if buffer is too small. HOT 4
- 3.13 support
- Converting an object / dict to a struct where the struct contains a Raw field fails with "Expected `any`, got ..."
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