musli
Müsli is a flexible and generic binary serialization framework.
The central components of the framework are the Encode and Decode
derives. They are thoroughly documented in the derives module.
I've chosen to internally use the term "encoding", "encode", and "decode"
because it's common terminology when talking about binary formats. It's also
distinct from serde's use of "serialization" allowing for the ease of
using both libraries side by side if desired.
Quick guide
- For information on how to implement
EncodeandDecode, seederives. - For information on how this library is tested, see
musli-tests.
Usage
Add the following to your Cargo.toml using the format you want
to use:
= "0.0.47"
= "0.0.47"
Design
Müsli is designed with similar principles as serde. Relying on Rust's
powerful trait system to generate code which can largely be optimized away.
The end result should be very similar to a handwritten encoding. The binary
serialization formats provided aim to efficiently and natively support and
accurately encode every type and data structure available in Rust.
As an example of this, these two functions both produce the same assembly on
my machine (built with --release):
const ENCODING: =
new.with_fixed_integers_endian;
The heavy lifting in user code is done through the Encode and Decode
derives. They are both documented in the derives module. Müsli operates
solely based on the schema derived from the types it uses.
use ;
Note by default a field is identified by its numerical index which would change if they are re-ordered. Renaming fields and setting a default naming policy can be done by configuring the
derives.
Where Müsli differs in design is that we make sparser use of the visitor pattern. Instead the encoding interacts with the framework through encoding interfaces that describe "what it wants" and leverages GATs to make the API ergonomic and efficient.
Note how decoding a sequence does not require the use of a visitor:
use ;
use Mode;
Another major aspect where Müsli differs is in the concept of
modes (note the M parameter above). Since this is a parameter of
the Encode and Decode traits it allows for the same data model to be
serialized in many different ways. This is a larger topic and is covered
further down.
Formats
Formats are currently distinguished by supporting various degrees of upgrade stability. A fully upgrade stable encoding format must tolerate that one model can add fields that an older version of the model should be capable of ignoring.
Partial upgrade stability can still be useful as is the case of the
musli-storage format below, because reading from storage only requires
decoding to be upgrade stable. So if correctly managed with
#[musli(default)] this will never result in any readers seeing unknown
fields.
The available formats and their capabilities are:
reorder |
missing |
unknown |
self |
|
|---|---|---|---|---|
musli-storage #[musli(packed)] |
✗ | ✗ | ✗ | ✗ |
musli-storage |
✔ | ✔ | ✗ | ✗ |
musli-wire |
✔ | ✔ | ✔ | ✗ |
musli-descriptive |
✔ | ✔ | ✔ | ✔ |
reorder determines whether fields must occur in exactly the order in which
they are specified in their type. Reordering fields in such a type would
cause unknown but safe behavior of some kind. This is only suitable for
byte-oriented IPC where the data models of each client are are strictly
synchronized.
missing determines if reading can handle missing fields through something
like Option<T>. This is suitable for on-disk storage, because it means
that new optional fields can be added as the schema evolves.
unknown determines if the format can skip over unknown fields. This is
suitable for network communication. At this point you've reached upgrade
stability. Some level of introspection is possible here, because the
serialized format must contain enough information about fields to know what
to skip which usually allows for reasoning about basic types.
self determines if the format is self-descriptive. Allowing the structure
of the data to be fully reconstructed from its serialized state. These
formats do not require models to decode, and can be converted to and from
dynamic containers such as musli-value for introspection.
For every feature you drop, the format becomes more compact and efficient.
musli-storage #[musli(packed)] for example is roughly as compact as
bincode while musli-wire is comparable in size to something like
protobuf.
Examples
The following is an example of full upgrade stability using musli-wire:
use ;
let version2 = to_buffer?;
let version1: Version1 = decode?;
assert_eq!;
The following is an example of partial upgrade stability using
musli-storage:
use ;
let version2 = to_buffer?;
assert!;
let version1 = to_buffer?;
let version2: Version2 = decode?;
assert_eq!;
Modes
In Müsli the same model can be serialized in different ways. Instead of requiring the use of multiple models, we instead support each model implementing different modes.
A mode allows for different encoding attributes to apply depending on which mode something is performed in. A mode can apply to any musli parameter giving you a lot of flexibility.
If a mode is not specified, an implementation will apply to all modes (M: Mode), if at least one mode is specified it will be implemented for all
modes which are present in a model and DefaultMode. This way, an
encoding which uses DefaultMode (which it does by default) should always
work.
use ;
use ;
use Encoding;
let CONFIG: = new;
let ALT_CONFIG: = new;
let word = Word ;
let out = CONFIG.to_string?;
assert_eq!;
let word2 = CONFIG.from_str?;
assert_eq!;
let out = ALT_CONFIG.to_string?;
assert_eq!;
let word2 = ALT_CONFIG.from_str?;
assert_eq!;
Unsafety
This library currently has two instances of unsafe:
-
A
mem::transcodeinTag::kind. Which guarantees that converting into theKindenum which is#[repr(u8)]is as efficient as possible. (Soon to be replaced with an equivalent safe variant). -
A largely unsafe
SliceReaderwhich provides more efficient reading than the defaultReaderimpl for&[u8]does (which uses split_at). Since it can perform most of the necessary comparisons directly on the pointers.
Performance
The following are the results of preliminary benchmarking and should be taken with a big grain of 🧂.
The two benchmark suites portrayed are:
rt-prim- which is a small object containing one of each primitive type and a string and a byte array.rt-lg- which is roundtrip encoding of a large object, containing vectors and maps of other objects.