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content/articles/2018-01-16-captains-cookbook-part-1.md
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content/articles/2018-01-16-captains-cookbook-part-1.md
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Title: Captain's Cookbook - Part 1
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Date: 2018-01-16
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Category: Blog
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Tags: capnproto rust
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Authors: Bradlee Speice
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Summary: A basic introduction to getting started with Cap'N Proto
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[//]: <> "Modified: "
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# Captain's Cookbook - Part 1
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I've been working a lot with [Cap'N Proto](https://capnproto.org/) recently with Rust, but there's a real dearth of information
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on how to set up and get going quickly. In the interest of trying to get more people using this (because I think it's
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fantastic), I'm going to work through a couple of examples detailing what exactly should be done to get going.
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So, what is Cap'N Proto? It's a data serialization library. It has contemporaries with [Protobuf](https://developers.google.com/protocol-buffers/)
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and [FlatBuffers](https://google.github.io/flatbuffers/), but is better compared with FlatBuffers. The whole point behind it
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is to define a schema language and serialization format such that:
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1. Applications that do not share the same base programming language can communicate
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2. The data and schema you use can naturally evolve over time as your needs change
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Accompanying this are typically code generators that take the schemas you define for your application and give you back
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code for different languages to get data to and from that schema.
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Now, what makes Cap'N Proto different from, say, Protobuf, is that there is no serialization/deserialization step the same way
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as is implemented with Protobuf. Instead, the idea is that the message itself can be loaded in memory and used directly there.
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We're going to take a look at a series of progressively more complex projects that use Cap'N Proto in an effort to provide some
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examples of what idiomatic usage looks like, and shorten the startup time needed to make use of this library in Rust projects.
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If you want to follow along, feel free. If not, I've posted [the final result](https://github.com/bspeice/capnp_cookbook_1)
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for reference.
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# Step 1: Installing `capnp`
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The `capnp` binary itself is needed for taking the schema files you write and turning them into a format that can be used by the
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code generation libraries. Don't ask me what that actually means, I just know that you need to make sure this is installed.
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I'll refer you to [Cap'N Proto's installation instructions](https://capnproto.org/install.html) here. As a quick TLDR though:
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- Linux users will likely have a binary shipped by their package manager - On Ubuntu, `apt install capnproto` is enough
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- OS X users can use [Homebrew](https://brew.sh/) as an easy install path. Just `brew install capnp`
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- Windows users are a bit more complicated. If you're using [Chocolatey](https://chocolatey.org/), there's [a package](https://chocolatey.org/packages/capnproto/) available. If that doesn't work however, you need to download [a release zip](https://capnproto.org/capnproto-c++-win32-0.6.1.zip) and make sure that the `capnp.exe` binary is in your `%PATH%` environment variable
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The way you know you're done with this step is if the following command works in your shell:
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```bash
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capnp id
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```
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# Step 2: Starting a Cap'N Proto Rust project
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After the `capnp` binary is set up, it's time to actually create our Rust project. Nothing terribly complex here, just a simple
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```bash
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mkdir capnp_cookbook_1
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cd capnp_cookbook_1
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cargo init --bin
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```
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We'll put the following content into `Cargo.toml`:
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```
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[package]
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name = "capnp_cookbook_1"
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version = "0.1.0"
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authors = ["Bradlee Speice <bspeice@kcg.com>"]
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[build-dependencies]
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capnpc = "0.8" # 1
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[dependencies]
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capnp = "0.8" # 2
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```
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This sets up:
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1. The Rust code generator (CAPNProto Compiler)
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2. The Cap'N Proto runtime library (CAPNProto runtime)
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We've now got everything prepared that we need for writing a Cap'N Proto project.
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# Step 3: Writing a basic schema
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We're going to start with writing a pretty trivial data schema that we can extend later. This is just intended to make sure
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you get familiar with how to start from a basic project.
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First, we're going to create a top-level directory for storing the schema files in:
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```bash
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# Assuming we're starting from the `capnp_cookbook_1` directory created earlier
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mkdir schema
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cd schema
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```
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Now, we're going to put the following content in `point.capnp`:
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```
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@0xab555145c708dad2;
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struct Point {
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x @0 :Int32;
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y @1 :Int32;
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}
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```
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Pretty easy, we've now got structure for an object we'll be able to quickly encode in a binary format.
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# Step 4: Setting up the build process
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Now it's time to actually set up the build process to make sure that Cap'N Proto generates the Rust code we'll eventually be using.
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This is typically done through a `build.rs` file to invoke the schema compiler.
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In the same folder as your `Cargo.toml` file, please put the following content in `build.rs`:
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```rust
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extern crate capnpc;
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fn main() {
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::capnpc::CompilerCommand::new()
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.src_prefix("schema") // 1
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.file("schema/point.capnp") // 2
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.run().expect("compiling schema");
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}
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```
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This sets up the protocol compiler (`capnpc` from earlier) to compile the schema we've built so far.
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1. Because Cap'N Proto schema files can re-use types specified in other files, the `src_prefix()` tells the compiler
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where to look for those extra files at.
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2. We specify the schema file we're including by hand. In a much larger project, you could presumably build the `CompilerCommand`
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dynamically, but we won't worry too much about that one for now.
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# Step 5: Running the build
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If you've done everything correctly so far, you should be able to actually build the project and see the auto-generated code.
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Run a `cargo build` command, and if you don't see `cargo` complaining, you're doing just fine!
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So where exactly does the generated code go to? I think it's critically important for people to be able to see what the generated
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code looks like, because you need to understand what you're actually programming against. The short answer is: the generated code lives
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somewhere in the `target/` directory.
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The long answer is that you're best off running a `find` command to get the actual file path:
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```bash
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# Assuming we're running from the capnp_cookbook_1 project folder
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find . -name point_capnp.rs
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```
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Alternately, if the `find` command isn't available, the path will look something like:
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```
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./target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs
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```
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See if there are any paths in your target directory that look similar.
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Now, the file content looks pretty nasty. I've included an example [here](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs)
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if you aren't following along at home. There are a couple things I'll try and point out though so you can get an idea of how
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the schema we wrote for the "Point" message is tied to the generated code.
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First, the Cap'N Proto library splits things up into `Builder` and `Reader` structs. These are best thought of the same way
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Rust separates `mut` from non-`mut` code. `Builder`s are `mut` versions of your message, and `Reader`s are immutable versions.
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For example, the [`Builder` impl](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L90) for `point` defines [`get_x()`](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L105), [`set_x()`](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L109), [`get_y()`](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L113), and [`set_y()`](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L117) methods.
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In comparison, the [`Reader` impl](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L38) only defines [`get_x()`](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L47) and [`get_y()`](https://github.com/bspeice/capnp_cookbook_1/blob/master/target/debug/build/capnp_cookbook_1-c6e2990393c32fe6/out/point_capnp.rs#L51) methods.
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So now we know that there are some `get` and `set` methods available for our `x` and `y` coordinates;
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but what do we actually do with those?
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# Step 6: Making a point
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So we've install Cap'N Proto, gotten a project set up, and can generate schema code now. It's time to actually start building
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Cap'N Proto messages! I'm going to put the code you need here because it's small, and put some extra long comments inline. This code
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should go in [`src/main.rs`](https://github.com/bspeice/capnp_cookbook_1/blob/master/src/main.rs):
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```rust
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// Note that we use `capnp` here, NOT `capnpc`
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extern crate capnp;
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// We create a module here to define how we are to access the code
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// being included.
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pub mod point_capnp {
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// The environment variable OUT_DIR is set by Cargo, and
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// is the location of all the code that was built as part
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// of the codegen step.
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// point_capnp.rs is the actual file to include
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include!(concat!(env!("OUT_DIR"), "/point_capnp.rs"));
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}
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fn main() {
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// The process of building a Cap'N Proto message is a bit tedious.
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// We start by creating a generic Builder; it acts as the message
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// container that we'll later be filling with content of our `Point`
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let mut builder = capnp::message::Builder::new_default();
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// Because we need a mutable reference to the `builder` later,
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// we fence off this part of the code to allow sequential mutable
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// borrows. As I understand it, non-lexical lifetimes:
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// https://github.com/rust-lang/rust-roadmap/issues/16
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// will make this no longer necessary
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{
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// And now we can set up the actual message we're trying to create
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let mut point_msg = builder.init_root::<point_capnp::point::Builder>();
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// Stuff our message with some content
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point_msg.set_x(12);
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point_msg.set_y(14);
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}
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// It's now time to serialize our message to binary. Let's set up a buffer for that:
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let mut buffer = Vec::new();
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// And actually fill that buffer with our data
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capnp::serialize::write_message(&mut buffer, &builder).unwrap();
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// Finally, let's deserialize the data
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let deserialized = capnp::serialize::read_message(
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&mut buffer.as_slice(),
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capnp::message::ReaderOptions::new()
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).unwrap();
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// `deserialized` is currently a generic reader; it understands
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// the content of the message we gave it (i.e. that there are two
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// int32 values) but doesn't really know what they represent (the Point).
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// This is where we map the generic data back into our schema.
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let point_reader = deserialized.get_root::<point_capnp::point::Reader>().unwrap();
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// We can now get our x and y values back, and make sure they match
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assert_eq!(point_reader.get_x(), 12);
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assert_eq!(point_reader.get_y(), 14);
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}
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```
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And with that, we've now got a functioning project. Here's the content I'm planning to go over next as we build up
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some practical examples of Cap'N Proto in action:
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## Next steps:
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Part 2: Using [TypedReader](https://github.com/capnproto/capnproto-rust/blob/master/src/message.rs#L181) to send messages across thread boundaries
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Part 3: Serialization and Deserialization of multiple Cap'N Proto messages
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NOTEBOOK_DIR = 'notebooks'
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NOTEBOOK_DIR = 'notebooks'
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THEME='nest'
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THEME='nest'
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MD_EXTENSIONS = ['codehilite(css_class=highlight)', 'extra']
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#NEST_INDEX_HEADER_TITLE="Bradlee Speice"
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#NEST_INDEX_HEADER_TITLE="Bradlee Speice"
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NEST_INDEX_HEADER_SUBTITLE="Exploring the intersection of Computer Science and Financial Engineering"
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NEST_INDEX_HEADER_SUBTITLE="Exploring the intersection of Computer Science and Financial Engineering"
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NEST_HEADER_LOGO="/images/logo.svg"
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NEST_HEADER_LOGO="/images/logo.svg"
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