Java has a much maligned (for good reason) serialization system built into the standard library. The output is a binary stream mapping the full object hierarchy and the relations between them.
The stream also includes definitions of classes and their hierarchies (super classes etc). The full specification is defined here.
In any new application there are probably better ways to serialize data with fewer security risks but there are cases where a legacy application is writing stuff out and we want to read it in again. If we want to read it in a separate application it'd be good if we weren't bound to Java.
java
import java.io.FileOutputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;
public class Demo implements Serializable {
private static final long serialVersionUID = 1L;
private String message;
private int i;
public Demo(String message, int count) {
this.message = message;
this.i = count;
}
public static void main(String[] args) throws Exception {
Demo d = new Demo("helloWorld", 42);
try (FileOutputStream fos = new FileOutputStream("demo.obj", false);
ObjectOutputStream oos = new ObjectOutputStream(fos);) {
oos.writeObject(d);
}
}
}
```rust use std::fs::File; use jaded::{Parser, Result};
fn main() -> Result<()> { let sample = File::open("demo.obj").expect("File missing"); let mut parser = Parser::new(sample)?; println!("Read Object: {:#?}", parser.read()?); Ok(()) } ```
Read Object: Object(
Object(
ObjectData {
class: "Demo",
fields: {
"i": Primitive(
Int(
42,
),
),
"message": JavaString(
"helloWorld",
),
},
annotations: [],
},
),
)
For most uses cases, the raw object representation is not very ergonomic
to work with. For ease of use, types can implement FromJava, and can then be
read directly from the stream.
In the majority of cases this implementation can be automatically derived by
enabling the derive feature.
```rust
struct Demo {
message: String,
i: i32,
}
Demo objects can then be read directly by the parser
rust
fn main() -> Result<()> {
let sample = File::open("demo.obj").expect("File missing");
let mut parser = Parser::new(sample)?;
let demo: Demo = parser.read_as()?;
println!("Read Object: {:#?}", demo);
Ok(())
}
Output from rust
Read Object: Demo {
message: "helloWorld",
i: 42,
}
```
Often classes, including many in the standard library, customise the way they
are written using a writeObject method that complements the builtin serialization
methods for fields. This data is written as an embedded stream of bytes and/or
objects. These cannot be associated with fields without the original Java source
so are included in the Annotations field of the ObjectData struct (empty in
the example above).
As this stream often contains important data from the class, a mechanism is provided to read useful data from it using an interface similar to the ObjectInputStream that would be used in the Java class itself.
An example of custom serialization in Java is the ArrayList. The source for its
writeObject methods can be seen
here
but the gist is that it writes the number of elements it contains, then writes
each element in turn.
Because the embedded custom stream could contain anything we have to manually
implement the methods to read from it but these can then be used by the
derived implementation of FromJava:
In Java
java
import java.util.List;
import java.util.ArrayList;
import java.io.FileOutputStream;
import java.io.ObjectOutputStream;
public class Demo {
public static void main(String[] args) throws Exception {
List<String> keys = new ArrayList<>();
keys.add("one");
keys.add("two");
keys.add("three");
try (FileOutputStream fos = new FileOutputStream("demo.obj", false);
ObjectOutputStream oos = new ObjectOutputStream(fos);) {
oos.writeObject(keys);
}
}
}
In rust
```rust
use std::fs::File;
use jaded::{Parser, Result, FromJava, FromJava, AnnotationIter, ConversionResult};
struct ArrayList
// extraction method must be callable as
// function(&mut AnnotationIter) -> ConversionResult
fn main() -> Result<()> {
let sample = File::open("demo.obj").expect("File missing");
let mut parser = Parser::new(sample)?;
let array: ArrayList
This gives the array list as expected
ArrayList {
size: 3,
values: [
"one",
"two",
"three",
],
}
```
FromJava is implemented for Option<T> and Box<T> so that recursive structs
can be deserialized and null fields in the serialized class can be handled.
Note that if a field is null the coversion will fail unless that field is
given as Option<T>. The example above would have failed if there was a null
string in the serialized String. Changing values to be Vec<Option<T>>
would allow it to still be read.
In Java conventions, field names use camelCase whereas Rust field names use snake case. By default, the derive macro looks for a field named the same as the mapped field in Rust so to prevent Rust structs needing to use camelCase, fields can be given attributes to use a different field in the Java class.
```rust
struct Demo { #[jaded(field = "fooBar")] foo_bar: String, } ```
If all fields are to be renamed, the renaming feature can be enabled and the
struct can be given a 'rename' attribute. This will convert all field names to
camelCase before reading them from Java. Individual fields can still be overridden
if required. This feature adds an additional dependency on convert_case so is
not enabled by default.
```rust
struct Demo { foo_bar: String, } ```
Allow FromJava to be derived automatically
Include the jadedderive renaming feature to allow automatic conversion from camelCase to snakecase.
In Java, a field can be declared as an interface and the concrete implementation can be anything. This means that in Rust we can't reliably convert read objects to structs unless we know that a stream is going to be using a specific implementation. In future it is hoped that enums may allow us to specify multiple types that could be present but even in those cases, it would still only be a limited number. eg
rust
enum List<T> {
ArrayList(Vec<T>),
LinkedList(Vec<T>),
Vector(Vec<T>),
}
would cover most of the common cases but there is nothing stopping some client
code creating a CustomList class that had a completely different serialized
representation and using that in the class that is being read in Rust.
Unfortunately, there are also limits to what we can do without the original code
that created the serial byte stream. The protocol linked above lists four types
of object. One of which, classes that implement java.lang.Externalizable and
use PROTOCOLVERSION1 (not been the default since v1.2), are not readable by
anything other than the class that wrote them as their data is nothing more
than a stream of bytes.
Of the remaining three types we can only reliably deserialize two.
'Normal' classes that implement java.lang.Serializable without having
a writeObject method
These can be read as shown above
Classes that implement Externalizable and use the newer PROTOCOLVERSION2
These can be read, although their data is held fully by the annotations fields of the ObjectData struct and the get_field method only returns None.
Serializable classes that implement writeObject
These objects are more difficult. The spec above suggests that they have their fields written as 'normal' classes and then have optional annotations written afterwards. In practice this is not the case and the fields are only written if the class calls defaultWriteObject as the first call in their writeObject method. This is mentioned as a requirement in the spec so we can assume that this is correct for classes in the standard library but it is something to be aware of if user classes are being deserialized.
A consequence of this is that once we have found a class that we can't read, it is difficult to get back on track as it requires picking out the marker signifying the start of the next object from the sea of custom data.
Collection which would have variants for List
Set, Queue etc. This would go part way to solving the polymorhpism
problem outlined above.FromJava for common Java and Rust types so that
for instance ArrayList and HashMap can be read to the equivalent Vec
and HashMap types in Rust.Very much a work in progress at the moment. I am writing this for another application I am working on so I imagine there will be many changes in the functionality and API at least in the short term as the requirements become apparent. As things settle down I hope things will become more stable.
As this project it is still very much in a pre-alpha state, I imagine things being quite unstable for a while. That said, if you notice anything obviously broken or have a feature that you think would be useful that I've missed entirely, do open issues. I'd avoid opening PRs until it's been discussed in an issue as the current repo state may lag behind development.