ε-serde is a Rust framework for ε-copy serialization and deserialization.
Large immutable data structures need time to be deserialized using the serde approach. A possible solution for this problem is given by frameworks such as Abomonation, rkiv, and zerovec, which provide zero-copy deserialization: the stream of bytes serializing the data structure can be used directly as a Rust structure. In particular, this approach makes it possible to map into memory an on-disk data structure, making it available instantly. It also makes it possible to load the data structure in a memory region with particular attributes, such as transparent huge pages on Linux. Even when using standard memory load and deserialization happen much faster as the entire structure can be loaded with a single read operation.
ε-serde has the same goals as the zero-copy frameworks above but provides different tradeoffs.
Since in these data structures typically most of the data is given by large chunks of memory in the form of slices or vectors, at deserialization time one can build quickly a proper Rust structure whose referenced memory, however, is not copied. We call this approach ε-copy deserialization, as typically a minuscule fraction of the serialized data is copied to build the structure. The result is similar to that of the frameworks above, but the performance of the deserialized structure will be identical to that of a standard, in-memory Rust structure, as references are resolved at deserialization time.
We provide procedural macros implementing serialization and deserialization
methods, basic (de)serialization for primitive types, vectors, etc., convenience
memory-mapping methods based on mmap_rs, and a MemCase
structure that
couples a deserialized structure with its backend (e.g., a slice of memory or a
memory-mapped region). A MemCase
provides a uncase
method that yields
references to the deserialized instance it contains. Moreover, with proper trait
delegation a MemCase
can be used almost transparently as said instance.
Tommaso Fontana, while working at INRIA under the supervision of Stefano
Zacchiroli, came up with the basic idea for ε-serde, that is, replacing
structures with equivalent references. The code was developed jointly with
Sebastiano Vigna, who came up with the MemCase
and the
ZeroCopy
/DeepCopy
logic. Valentin Lorentz joined later, providing
major improvements in soundness.
These are the main limitations you should be aware of before choosing to use ε-serde:
-
Your types cannot contain references. For example, you cannot use ε-serde on a tree.
-
While we provide procedural macros that implement serialization and deserialization, they require that your type is written and used in a specific way for ε-copy deserialization to work properly; in particular, the fields you want to ε-copy must be type parameters implementing
DeserializeInner
, to which a deserialized type is associated. For example, we provide implementations forVec<T>
/Box<[T]>
, whereT
is zero-copy, orString
/Box<str>
, which have associated deserialized type&[T]
or&str
, respectively. Vectors and boxed slices of types that are not zero-copy will be deserialized recursively in memory instead. -
After deserialization of an instance of type
T
, you will obtain an instance of an associated deserialized typeDeserType<'_,T>
, which will usually reference the underlying serialized support (e.g., a memory-mapped region); hence the need for a lifetime. If you need to store the deserialized instance in a field of a new structure you will need to couple permanently the instance with its serialization support, which is obtained by putting it in aMemCase
using the convenience methodsDeserialize::load_mem
,Deserialize::read_mem
,Deserialize::load_mmap
,Deserialize::read_mmap
, andDeserialize::mmap
. -
No validation or padding cleaning is performed on zero-copy types. If you plan to serialize data and distribute it, you must take care of these issues.
-
Almost instant deserialization with minimal allocation provided that you designed your type following the ε-serde guidelines or that you use standard types.
-
The instance you get by deserialization has essentially the same type as the one you serialized, except that type parameters will be replaced by their associated deserialization type (e.g., vectors will become references to slices). This is not the case with rkiv, which requires you to reimplement all methods on a new, different deserialized type.
-
The structure you get by deserialization has exactly the same performance as the structure you serialized. This is not the case with zerovec or rkiv.
-
You can serialize structures containing references to slices, or even exact-size iterators, and they will be deserialized as if you had written a vector. It is thus possible to serialize structures larger than the available memory.
-
You can deserialize from read-only supports, as all dynamic information generated at deserialization time is stored in newly allocated memory. This is not the case with Abomonation.
Let us start with the simplest case: data that can be zero-copy deserialized. In this case, we serialize an array of a thousand zeros, and get back a reference to such an array:
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let s = [0_usize; 1000];
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized0");
unsafe { s.serialize(&mut std::fs::File::create(&file)?)? };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// The type of t will be inferred--it is shown here only for clarity
let t: &[usize; 1000] =
unsafe { <[usize; 1000]>::deserialize_eps(b.as_ref())? };
assert_eq!(s, *t);
// You can derive the deserialization type, with a lifetime depending on b
let t: DeserType<'_, [usize; 1000]> =
unsafe { <[usize; 1000]>::deserialize_eps(b.as_ref())? };
assert_eq!(s, *t);
// This is a traditional deserialization instead
let t: [usize; 1000] =
unsafe { <[usize; 1000]>::deserialize_full(
&mut std::fs::File::open(&file)?
)? };
assert_eq!(s, t);
// In this case we map the data structure into memory
//
// Note: requires the `mmap` feature.
let u: MemCase<[usize; 1000]> =
unsafe { <[usize; 1000]>::mmap(&file, Flags::empty())? };
assert_eq!(s, **u.uncase());
# Ok(())
# }
Note how we serialize an array, but we deserialize a reference. The reference
points inside b
, so there is no copy performed. The call to
deserialize_full
creates a new array instead. The third call maps the data
structure into memory and returns a MemCase
that can be used to get
a reference to the array; moreover, the MemCase
can be passed to other
functions or stored in a structure field, as it contains both the structure and
the memory-mapped region that supports it.
The type alias DeserType
can be used to derive the deserialized type
associated with a type. It contains a lifetime, which is the lifetime of the
memory region containing the serialized data. When deserializing into a
MemCase
, however, the lifetime is 'static
, as MemCase
is an owned
type.
Zero-copy deserialization is not that interesting because it can be applied only
to data whose memory layout and size are fixed and known at compile time. This
time, let us serialize a Vec
containing a thousand zeros: ε-serde will
deserialize its associated deserialization type, which is a reference to a
slice.
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let s = vec![0; 1000];
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized1");
unsafe { s.serialize(&mut std::fs::File::create(&file)?)? };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// The type of t will be inferred--it is shown here only for clarity
let t: DeserType<'_, Vec<usize>> =
unsafe { <Vec<usize>>::deserialize_eps(b.as_ref())? };
assert_eq!(s, *t);
// This is a traditional deserialization instead
let t: Vec<usize> =
unsafe { <Vec<usize>>::load_full(&file)? };
assert_eq!(s, t);
// In this case we map the data structure into memory
let u: MemCase<Vec<usize>> =
unsafe { <Vec<usize>>::mmap(&file, Flags::empty())? };
assert_eq!(s, **u.uncase());
// You can even deserialize directly into a boxed slice
// as they are interchangeable with vectors
let t: Box<[usize]> =
unsafe { <Box<[usize]>>::load_full(&file)? };
assert_eq!(s.as_slice(), &*t);
# Ok(())
# }
Note how we serialize a vector, but we deserialize a reference to a slice; the
same would happen when serializing a boxed slice; in fact, vectors and boxed
slices are interchangeable. The reference points inside b
, so there is very
little copy performed (in fact, just a field containing the length of the
slice). All this is because usize
is a zero-copy type. Note also that we use
the convenience method Deserialize::load_full
.
If your code must work both with the original and the deserialized version,
however, it must be written for a trait that is implemented by both types, such
as AsRef<[usize]>
.
You can define your types to be zero-copy, in which case they will work like
usize
in the previous examples. This requires the structure to be made of
zero-copy fields, and to be annotated with #[zero_copy]
and #[repr(C)]
(which means that you will lose the possibility that the compiler reorders the
fields to optimize memory usage):
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
#[derive(Epserde, Debug, PartialEq, Copy, Clone)]
#[repr(C)]
#[zero_copy]
struct Data {
foo: usize,
bar: usize,
}
let s = vec![Data { foo: 0, bar: 0 }; 1000];
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized2");
unsafe { s.serialize(&mut std::fs::File::create(&file)?)? };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// The type of t will be inferred--it is shown here only for clarity
let t: DeserType<'_, Vec<Data>> =
unsafe { <Vec<Data>>::deserialize_eps(b.as_ref())? };
assert_eq!(s, *t);
// This is a traditional deserialization instead
let t: Vec<Data> =
unsafe { <Vec<Data>>::load_full(&file)? };
assert_eq!(s, t);
// In this case we map the data structure into memory
let u: MemCase<Vec<Data>> =
unsafe { <Vec<Data>>::mmap(&file, Flags::empty())? };
assert_eq!(s, **u.uncase());
# Ok(())
# }
If a type is not zero-copy, instead, vectors/boxed slices will be always deserialized into vectors/boxed slices.
More flexibility can be obtained by defining types with fields whose types are defined by parameters. In this case, ε-serde will deserialize instances of the type replacing its type parameters with the associated deserialized type.
Let us design a structure that will contain an integer, which will be copied, and a vector of integers that we want to ε-copy:
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
#[derive(Epserde, Debug, PartialEq)]
struct MyStruct<A> {
id: isize,
data: A,
}
// Create a structure where A is a Vec<isize>
let s: MyStruct<Vec<isize>> = MyStruct { id: 0, data: vec![0, 1, 2, 3] };
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized3");
unsafe { s.store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// The type of t will be inferred--it is shown here only for clarity
let t: MyStruct<&[isize]> =
unsafe { <MyStruct<Vec<isize>>>::deserialize_eps(b.as_ref())? };
assert_eq!(s.id, t.id);
assert_eq!(s.data, Vec::from(t.data));
// This is a traditional deserialization instead
let t: MyStruct<Vec<isize>> =
unsafe { <MyStruct<Vec<isize>>>::load_full(&file)? };
assert_eq!(s, t);
// In this case we map the data structure into memory
let u: MemCase<MyStruct<Vec<isize>>> =
unsafe { <MyStruct<Vec<isize>>>::mmap(&file, Flags::empty())? };
let u: &MyStruct<&[isize]> = u.uncase();
assert_eq!(s.id, u.id);
assert_eq!(s.data, u.data.as_ref());
# Ok(())
# }
Note how the field originally containing a Vec<isize>
now contains a
&[isize]
(this replacement is generated automatically). The reference points
inside b
, so there is no need to copy the field. Nonetheless, deserialization
creates a new structure MyStruct
, ε-copying the original data. The second call
creates a full copy instead. We can write methods for our structure that will
work for the ε-copied version: we just have to take care that they are defined
in a way that will work both on the original type parameter and on its
associated deserialized type; we can also use type
to reduce the clutter:
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
#[derive(Epserde, Debug, PartialEq)]
struct MyStructParam<A> {
id: isize,
data: A,
}
/// This method can be called on both the original and the ε-copied structure
impl<A: AsRef<[isize]>> MyStructParam<A> {
fn sum(&self) -> isize {
self.data.as_ref().iter().sum()
}
}
type MyStruct = MyStructParam<Vec<isize>>;
// Create a structure where A is a Vec<isize>
let s = MyStruct { id: 0, data: vec![0, 1, 2, 3] };
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized4");
unsafe { s.store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
let t = unsafe { MyStruct::deserialize_eps(b.as_ref())? };
// We can call the method on both structures
assert_eq!(s.sum(), t.sum());
let t = unsafe { <MyStruct>::mmap(&file, Flags::empty())? };
let t: &MyStructParam<&[isize]> = t.uncase();
// t works transparently as a &MyStructParam<&[isize]>
assert_eq!(s.id, t.id);
assert_eq!(s.data, t.data.as_ref());
assert_eq!(s.sum(), t.sum());
# Ok(())
# }
It is important to note that since the derive code replaces type parameters that are types of fields with their associated (de)serialization type when generating the (de)serialization type of your structure, you cannot have a type parameter that appears both as the type of a field and as a type parameter of another field. For example, the following code will not compile:
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
#[derive(Epserde, Debug, PartialEq)]
struct MyStructParam<A> {
id: isize,
data: A,
vec: Vec<A>
}
# Ok(())
# }
The result will be an error message similar to the following:
|
| #[derive(Epserde, Debug, PartialEq)]
| ^^^^^^^ expected `Vec<<A as DeserializeInner>::DeserType<'_>>`, found `Vec<A>`
| struct MyStructParam<A> {
| - found this type parameter
Internal type parameters, that is, type parameters used by the types of your
fields but that do not represent the type of a fields, are left untouched.
However, to be serializable they must be classified as deep-copy or zero-copy,
and in the first case they must have a 'static
lifetime. The only exception to
this rule is for types inside a PhantomData
, which do not even need to be
serializable. For example,
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
#[derive(Epserde, Debug, PartialEq)]
struct MyStruct<A: DeepCopy + 'static>(Vec<A>);
// Create a structure where A is a Vec<isize>
let s: MyStruct<Vec<isize>> = MyStruct(vec![vec![0, 1, 2, 3]]);
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized5");
unsafe { s.store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// The type of t is unchanged
let t: MyStruct<Vec<isize>> =
unsafe { <MyStruct<Vec<isize>>>::deserialize_eps(b.as_ref())? };
# Ok(())
# }
Note how the field originally of type Vec<Vec<isize>>
remains of the same
type.
For zero-copy types, things are slightly different because type parameters are
not substituted, even if they are the type of a field. So all type parameters
must be zero-copy. This must hold even for types inside a PhantomData
. For
example,
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
#[derive(Epserde, Debug, PartialEq, Clone, Copy)]
#[repr(C)]
#[zero_copy]
struct MyStruct<A: ZeroCopy> {
data: A,
}
// Create a structure where A is a Vec<isize>
let s: MyStruct<i32> = MyStruct { data: 0 };
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized6");
unsafe { s.store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// The type of t is unchanged
let t: &MyStruct<i32> =
unsafe { <MyStruct<i32>>::deserialize_eps(b.as_ref())? };
# Ok(())
# }
Note how the field originally of type i32
remains of the same type.
Enums are supported, but there are two caveats: first, if you want them to be
zero-copy, they must be repr(C)
, and thus you will lose the possibility that
the compiler optimizes their memory representation; second, if you have type
parameters that are not used by all variants you must be careful to specify
always the same type parameter when serializing and deserializing. This is
obvious for non-enum types, but with enum types with default type parameters it
can become tricky. For example,
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
#[derive(Epserde, Debug, PartialEq, Clone, Copy)]
enum Enum<T=Vec<usize>> {
A,
B(T),
}
// This enum has T=Vec<i32> by type inference
let e = Enum::B(vec![0, 1, 2, 3]);
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized7");
unsafe { e.store(&file) };
// Deserializing using just Enum will fail, as the type parameter
// by default is Vec<usize>
assert!(unsafe { <Enum>::load_full(&file) }.is_err());
# Ok(())
# }
For convenience, ε-serde can serialize references to slices, and will deserialize them as if they were vectors/boxed slices. You must however be careful to deserialize with the correct type. For example,
# use epserde::prelude::*;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let v = vec![0, 1, 2, 3];
// This is a slice
let s: &[i32] = v.as_ref();
// Serialize it
let mut file = std::env::temp_dir();
file.push("serialized8");
unsafe { s.store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// We must deserialize as a vector, even if we are getting back a reference
let t: &[i32] = unsafe { <Vec<i32>>::deserialize_eps(b.as_ref())? };
let t: Vec<i32> = unsafe { <Vec<i32>>::deserialize_full(
&mut std::fs::File::open(&file)?
)? };
let t: MemCase<Vec<i32>> = unsafe { <Vec<i32>>::mmap(&file, Flags::empty())? };
// Or as a boxed slice
let t: &[i32] = unsafe { <Box<[i32]>>::deserialize_eps(b.as_ref())? };
// Within a structure
#[derive(Epserde, Debug, PartialEq, Eq, Default, Clone)]
struct Data<A> {
s: A,
}
let d = Data { s };
// Serialize it
unsafe { d.store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// We must deserialize the field as a vector, even if we are getting back a reference
let t: Data<&[i32]> = unsafe { <Data<Vec<i32>>>::deserialize_eps(b.as_ref())? };
let t: Data<Vec<i32>> = unsafe { <Data<Vec<i32>>>::deserialize_full(
&mut std::fs::File::open(&file)?
)? };
let t: MemCase<Data<Vec<i32>>> = unsafe { <Data<Vec<i32>>>::mmap(&file, Flags::empty())? };
// Or as a boxed slice
let t: Data<&[i32]> = unsafe { <Data<Box<[i32]>>>::deserialize_eps(b.as_ref())? };
# Ok(())
# }
ε-serde can serialize iterators returning references to a type. The resulting
field can be deserialized as a vector/boxed slice. In this case we need to wrap
the iterator in a SerIter
, as ε-serde cannot implement the serialization
traits directly on Iterator
. For example,
# use epserde::prelude::*;
# use std::slice::Iter;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let v = vec![0, 1, 2, 3];
// This is an iterator
let i: Iter<'_, i32> = v.iter();
// Serialize it by wrapping it in a SerIter
let mut file = std::env::temp_dir();
file.push("serialized9");
unsafe { SerIter::from(i).store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// We must deserialize as a vector, even if we are getting back a reference
let t: &[i32] = unsafe { <Vec<i32>>::deserialize_eps(b.as_ref())? };
let t: Vec<i32> = unsafe { <Vec<i32>>::deserialize_full(
&mut std::fs::File::open(&file)?
)? };
let t: MemCase<Vec<i32>> = unsafe { <Vec<i32>>::mmap(&file, Flags::empty())? };
// Or as a boxed slice
let t: &[i32] = unsafe { <Box<[i32]>>::deserialize_eps(b.as_ref())? };
// Within a structure
#[derive(Epserde, Debug, PartialEq, Eq, Default, Clone)]
struct Data<A> {
s: A,
}
let d = Data { s: SerIter::from(v.iter()) };
// Serialize it
unsafe { d.store(&file) };
// Load the serialized form in a buffer
let b = std::fs::read(&file)?;
// We must deserialize the field as a vector, even if we are getting back a reference
let t: Data<&[i32]> = unsafe { <Data<Vec<i32>>>::deserialize_eps(b.as_ref())? };
let t: Data<Vec<i32>> = unsafe { <Data<Vec<i32>>>::deserialize_full(
&mut std::fs::File::open(&file)?
)? };
let t: MemCase<Data<Vec<i32>>> = unsafe { <Data<Vec<i32>>>::mmap(&file, Flags::empty())? };
// Or as a boxed slice
let t: Data<&[i32]> = unsafe { <Data<Box<[i32]>>>::deserialize_eps(b.as_ref())? };
# Ok(())
# }
The [sux-rs
] crate provides several data structures that use ε-serde.
You can serialize using just a (mutable) reference. Moreover, smart pointers
such as Box
, Rc
, and Arc
are supported by erasure—they
dynamically removed from the type and dynamically reinstated at deserialization.
Please see the documentation of the pointer
module for more details.
Vectors and boxed slices are entirely interchangeable in ε-serde. In particular, you can serialize a vector and deserialize it as a boxed slice, or vice versa, even when they are fields of a structure (given, of course, that they are the concrete type of a type parameter).
PhantomData
undergoes a special treatment: its type parameter T
does not
have to be (de)serializable or sized—it is sufficient that it implements
TypeHash
.
There might be corner cases in which T
appears both as a parameter of
PhantomData
and as a type parameter of a field of a type. In this case, you
can use PhantomDeserData
instead of PhantomData
.
All ε-serde structures implement the MemDbg
and MemSize
traits.
Every type serializable with ε-serde has three features that are in principle orthogonal, but that in practice often condition one another:
- the type has an associated serialization type, which is the type we write when serializing;
- the type has an associated deserialization type, which is the type you obtain when deserialized;
- the type can be either
ZeroCopy
orDeepCopy
; it can also be neither.
There is no constraint on the associated (de)serialization type: it can be
literally anything. In general, however, one tries to have a deserialization
type that is somewhat compatible with the original type, in the sense that they
both satisfy a trait for which implementations can be written: for example,
ε-copy deserialization turns vectors/boxed slices into references to slices, so
implementations can be written for AsRef<[·]>
and will work both on the
original and the deserialized instance. And, in general, ZeroCopy
types
deserialize into themselves. Presently the associated serialization type is
almost always Self
, with the notable exception of references to slices and
iterators, which are serialized for convenience as vectors/boxed slices.
Being ZeroCopy
or DeepCopy
decides how the type will be treated upon
deserialization. Instances of zero-copy types are ε-copy deserialized as a
reference, whereas instances of deep-copy types are are always recursively
deserialized in allocated memory.
Sequences of zero-copy types are ε-copy deserialized using a reference to a
slice, whereas sequences of deep-copy types are deserialized in allocated memory
(to sequences of the associated deserialization types). It is important to
remark that you cannot serialize a sequence whose elements are of a type that
is neither ZeroCopy
nor DeepCopy
(see the CopyType
documentation
for a deeper explanation).
Logically, zero-copy types should be deserialized to references, and this indeed happens in most cases, and certainly in the derived code: however, primitive types are always fully deserialized. There are two reasons behind this non-orthogonal choice:
- primitive types occupy so little space that deserializing them as a reference is not efficient;
- if a type parameter
T
is a primitive type, writing generic code forAsRef<T>
is really not nice; - deserializing primitive types to a reference would require further padding to align them.
Since this is true only of primitive types, when deserializing a 1-tuple containing a primitive type one obtains a reference (and indeed this workaround can be used if you really need to deserialize a primitive type as a reference). The same happens if you deserialize a zero-copy struct containing a single field of primitive type.
Instances of deep-copy types instead are serialized and deserialized
recursively, field by field. The basic idea in ε-serde is that if the type of a
field is a type parameter, during ε-copy deserialization the type will be
replaced with its deserialization type. Since the deserialization type is
defined recursively, replacement can happen at any depth level. For example, a
field of type A = Vec<Vec<Vec<usize>>>
will be deserialized as a A = Vec<Vec<&[usize]>>
.
Note, however, that field types are not replaced if they are not type
parameters: a field of type Vec<T>
will always be deserialized as a Vec<T>
,
even if T
is ZeroCopy
. In particular, you cannot have T
both as the type
of a field and as a type parameter of another field (but see the exception below
for PhantomData
).
This approach makes it possible to write ε-serde-aware structures that hide from
the user the substitution. A good example is the BitFieldVec
structure from
sux
, which exposes an array of fields of fixed bit width using (usually)
a Vec<usize>
as a backend; except for extension methods, all methods of
BitFieldVec
come from the trait BitFieldSlice
. If you have your own struct
and one of the fields is of type A
, when serializing your struct with A
equal to BitFieldVec<Vec<usize>>
, upon ε-copy deserialization you will get a
version of your struct with BitFieldVec<&[usize]>
. All this will happen under
the hood because BitFieldVec
is ε-serde-aware, and in fact you will not even
notice the difference if you access both versions using the trait
BitFieldSlice
.
It this section we describe in a somewhat formal way the specification of ε-serde. We suggest to get acquainted with the examples before reading it.
Within ε-serde, types are classified as deep-copy or zero-copy, usually
by implementing the unsafe CopyType
trait with associated type
[CopyType::Copy
] equal to Deep
or Zero
; types without such an
implementation are considered deep-copy. There is a blanket implementation for
the DeepCopy
marker trait for all types implementing CopyType
with
associated type [CopyType::Copy
] equal to Deep
. Zero-copy types must also
implement [Copy
], MaxSizeOf
; they must also outlive 'static
lifetime, and be
repr(C)
. Under those conditions, there is a similar blanket implementation for
the ZeroCopy
marker trait. Zero-copy types cannot contain any reference, but
this condition cannot be checked by the compiler ('static
does not prevent,
say, references to string constants), which is why CopyType
is unsafe.
Zero-copy types have the property that their memory representation can
be serialized as a sequence of bytes; a reference to the sequence is then
a valid reference to an instance of the type. This happens because repr(C)
guarantees a fixed memory layout, and because the type does not contain any
reference to other data.
Deep-copy types instead are types must can be serialized and deserialized field by field.
Note that all fields of a type you want to (de)serialize must be of a type
implementing CopyType
for the derive code to work.
Given a type T
with generics, we say that a type parameter is replaceable if
it appears as the type of a field of T
. We say instead that a type parameter
is irreplaceable if it is a generic parameter of the type of a field of T
.
The basic assumption in what follows, and in the derived code of ε-serde, is that no type parameter is both replaceable and irreplaceable. This means that you cannot have a type parameter that appears both as the type of a field and as a type parameter of the type of a field. If that happen, you will have to write the (de)serialization code by hand. For example, in the following structure
struct Bad<A> {
data: A,
vec: Vec<A>,
}
the type parameter A
is both replaceable (it is the type of the field data
)
and irreplaceable (it is a type parameter of the type of field vec
).
The only exception to this rule is for type parameters that appear inside a
PhantomDeserData
, which can be replaceable.
The fundamental idea at the basis of ε-serde is that replaceable parameters make it possible to refer to serialized zero-copy data without copying it. For example, given a structure
struct Good<A> {
data: A,
}
if A
is Vec<Z>
and Z
is zero-copy, then we can deserialize an instance of
Good<Vec<Z>>
from in-memory data by replacing Vec<Z>
with &[Z]
, and the
resulting structure will have type Good<&[Z]>
: the slice will refer directly
to the serialized data, and only a small fraction of the structure (a pointer
and an integer) will need to be allocated—hence, the term “ε-copy”.
This replacement happens recursively thanks to Rust's type system. As long as
impl
sections are written in terms of traits implemented by both the original
and the replaced type, the code will work transparently on both types; in this
case, methods should be written with the bound A: AsRef<[Z]>
.
An ε-serde serialization process involves two types:
-
S
, the serializable type, which is the type of the instance you want to serialize. It must implementSerializeInner
(which impliesSerialize
by a blanket implementation). -
Its associated serialization type
S::SerType
, which must implementTypeHash
andReprHash
.
In general the serialization type of S
is S
, but there is some normalization
and erasure involved (e.g., vectors become boxed slices, and some smart pointers
such as Rc are erased). Moreover, for convenience a few types that are not
really serializable have a convenience serialization type (e.g., iterators
become boxed slices). The derivation of the serialization type will be detailed
later, but the key feature is that when deriving the serialization type of S
replaceable type parameters of S
are replaced with their
serialization type.
When you invoke serialize on an instance of type S
, ε-serde writes a type hash
which is derived from S::SerType
, and which represents the definition of the
type (copy type, field names, types, etc.), an alignment hash which is derived
from the alignment of S::SerType
(essentially, recording where padding had
been inserted in the zero-copy parts of the type), and then recursively the data
contained in the instance.
An ε-serde deserialization process involves instead three types:
-
D
, the deserializable type, which must implementDeserializeInner
,TypeHash
, andReprHash
, so the blanket implementation ForDeserialize
applies. This is the type on which deserialization methods are invoked. -
The associated serialization type of
D
,D::SerType
. -
The associated deserialization type
D::DeserType<'_>
.
In general D
is the same as S
, but the only relevant condition for
deserializing using the deserializable type D
an instance serialized with
serializable type S
is that D::SerType
is equal to S::SerType
.
This gives some latitude in the choice of the deserializable type—for example, a
boxed array instead of a vector for a replaceable parameter.
The deserialization type, instead, is the main technical novelty of ε-serde: it
is a reference, instead of an instance, for zero-copy types, and a reference to
a slice, rather than owned data, for vectors, boxed slices, and arrays of such
types. For vectors, boxed slices, and arrays of deep-copy types it is obtained
by replacing their type parameter with its deserialization type. For more
complex types, it is obtained by types filling replaceable parameters R
with
their deserialization type.
For example:
-
T::DeserType<'_>
is&T
ifT
is zero-copy, butT
ifT
is deep-copy; -
<Vec<T>>::DeserType<'_>
is&[T]
ifT
is zero-copy, butVec<T>
ifT
is deep-copy; -
<Good<T>>::DeserType<'_>
isGood<&T>
ifT
is zero-copy, butGood<T>
ifT
is deep-copy; -
Good<Vec<T>>::DeserType<'_>
isGood<&[T]>
ifT
is zero-copy, butGood<Vec<T>>
ifT
is deep-copy; -
Good<Vec<Vec<T>>>::DeserType<'_>
isGood<Vec<&[T]>>
ifT
is zero-copy, but againGood<Vec<Vec<T>>>
ifT
is deep-copy.
We can describe the replacements leading to the deserialization type in a
non-recursive way as follows: consider the syntax tree of the type D
, in which
the root, labeled by D
, is connected to the root of the syntax trees of
its fields, and each children is further labeled by the name of the field.
Replacement happens in two cases:
-
There is a path starting at the root, traversing only fields whose type is a replaceable parameter, and ending at node that is a vector/boxed slice/array: it will be replaced with reference to a slice of the same type.
-
This is a shortest path starting at the root, traversing only fields whose type is a replaceable parameter, and ending at a node that is zero-copy: it will be replaced with a reference to the same type.
Note that shortest-path condition: this is necessary because when you reach a
zero-copy type, the recursion in the definition of the deserialization type
stops. Note also that if D
is zero-copy the empty path satisfies the
second condition, and indeed D::DeserType<'_>
is &D
.
There are now two types of deserialization:
-
deserialize_full
performs full-copy deserialization, which reads recursively the serialized data from aRead
and builds an instance ofD
. This is basically a standard deserialization, except that it is usually much faster if you have large sequences of zero-copy types, as they are deserialized in a singleread_exact
. -
deserialize_eps
perform ε-copy deserialization, which accesses the serialized data as a byte slice, and builds an instance ofD::DeserType<'_>
that refers to the data inside the byte slice.
Whichever method you invoke on D
, deserialization will happen only if the type
hash of D::SerType
matches that of S::SerType
, and the same must happen for
the alignment hash: otherwise, you will get an error. Note that the serialized data
does not contain a structural copy of any type: it is the responsibility of the
code performing deserialization to know the type of the data it is reading.
Given a user-defined type T
:
-
if
T
is zero-copy, the serialization type isT
, and the deserialization type is&T
; -
if
T
is deep-copy, the serialization type isT
, and the deserialization type derived by replacing all replaceable type parameters with their associated serialization/deserialization type, respectively.
For standard types and PhantomDeserData
, we have:
-
all primitive types, such as
u8
,i32
,f64
,char
,bool
, etc.,()
, andPhantomData<T>
are zero-copy and their (de)serialization type is themselves; -
Option<T>
andControlFlow<B, C>
, andPhantomDeserData<T>
are deep-copy and their (de)serialization type is themselves, withT
/B
/C
replaced by their (de)serialization type; -
Vec<T>
,Box<[T]>
,&[T]
andSerIter<T>
are deep-copy, and their serialization type isBox<[T]>
ifT
is zero-copy, butBox<[T::SerType]>
ifT
is deep-copy; the deserialization type ofVec<T>
/Box<[T]>
is&[T]
ifT
is zero-copy, andVec<T::DeserType<'_>>
/Box<[T::DeserType<'_>]>
ifT
is deep-copy;&[T]
andSerIter<T>
are not deserializable; -
Arrays
[T; N]
are zero-copy if and only ifT
is zero-copy. their serialization type is[T; N]
ifT
is zero-copy, but[T::SerType; N]
ifT
is deep-copy; their deserialization type is&[T; N]
ifT
is zero-copy, but[T::DeserType<'_>; N]
ifT
is deep-copy; -
tuples up to size 12 made of the same zero-copy type
T
are zero-copy, their serialization type is themselves, and their deserialization type is a reference to themselves (the other cases must be covered using newtypes; -
Ranges and
ControlFlow<B, C>
behave like user-defined deep-copy types; -
Box<T>
,Rc<T>
, andArc<T>
, for sizedT
, are deep-copy, and their serialization/deserialization type are the same ofT
.
We strongly suggest using the procedural macro Epserde
to make your own
types serializable and deserializable. Just invoking the macro on your structure
will make it fully functional with ε-serde. The attribute #[zero_copy]
can be
used to make a structure zero-copy, albeit it must satisfy a few
prerequisites.
You can also implement manually the traits CopyType
, MaxSizeOf
,
TypeHash
, ReprHash
, SerializeInner
, and DeserializeInner
, but
the process is error-prone, and you must be fully aware of ε-serde's
conventions. The procedural macro TypeInfo
can be used to generate
automatically at least CopyType
, MaxSizeOf
, TypeHash
, and
ReprHash
automatically.
This software has been partially supported by project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU, and by project ANR COREGRAPHIE, grant ANR-20-CE23-0002 of the French Agence Nationale de la Recherche. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the Italian MUR. Neither the European Union nor the Italian MUR can be held responsible for them.