The Rust Programming Language - Understanding Vectors in Rust

The Rust Programming Language - Understanding Vectors in Rust

The Rust Programming Language - Understanding Vectors in Rust. Vectors are re-sizable arrays. Vectors always allocate their data on the heap. A ‘vector’ is a dynamic or ‘growable’ array, implemented as the standard library type Vec<T>. The T means that we can have vectors of any type (see the chapter on generics for more).

A ‘vector’ is a dynamic or ‘growable’ array, implemented as the standard library type Vec<T>. The T means that we can have vectors of any type (see the chapter on generics for more). Vectors always allocate their data on the heap. You can create them with the vec! macro:


# #![allow(unused_variables)]
#fn main() {
let v = vec![1, 2, 3, 4, 5]; // v: Vec<i32>
#}

(Notice that unlike the println! macro we’ve used in the past, we use square brackets [] with vec! macro. Rust allows you to use either in either situation, this is just convention.)

There’s an alternate form of vec! for repeating an initial value:


# #![allow(unused_variables)]
#fn main() {
let v = vec![0; 10]; // A vector of ten zeroes.
#}

Vectors store their contents as contiguous arrays of T on the heap. This means that they must be able to know the size of T at compile time (that is, how many bytes are needed to store a T?). The size of some things can't be known at compile time. For these you'll have to store a pointer to that thing: thankfully, the Box type works perfectly for this.

Accessing elements

To get the value at a particular index in the vector, we use []s:


# #![allow(unused_variables)]
#fn main() {
let v = vec![1, 2, 3, 4, 5];

println!("The third element of v is {}", v[2]);
#}

The indices count from 0, so the third element is v[2].

It’s also important to note that you must index with the usize type:

let v = vec![1, 2, 3, 4, 5];

let i: usize = 0;
let j: i32 = 0;

// Works:
v[i];

// Doesn’t:
v[j];

Indexing with a non-usize type gives an error that looks like this:

error: the trait bound `collections::vec::Vec<_> : core::ops::Index<i32>`
is not satisfied [E0277]
v[j];
^~~~
note: the type `collections::vec::Vec<_>` cannot be indexed by `i32`
error: aborting due to previous error

There’s a lot of punctuation in that message, but the core of it makes sense: you cannot index with an i32.

Out-of-bounds Access

If you try to access an index that doesn’t exist:

let v = vec![1, 2, 3];
println!("Item 7 is {}", v[7]);

then the current thread will panic with a message like this:

thread 'main' panicked at 'index out of bounds: the len is 3 but the index is 7'

If you want to handle out-of-bounds errors without panicking, you can use methods like get or get_mut that return None when given an invalid index:


# #![allow(unused_variables)]
#fn main() {
let v = vec![1, 2, 3];
match v.get(7) {
    Some(x) => println!("Item 7 is {}", x),
    None => println!("Sorry, this vector is too short.")
}
#}
Iterating

Once you have a vector, you can iterate through its elements with for. There are three versions:


# #![allow(unused_variables)]
#fn main() {
let mut v = vec![1, 2, 3, 4, 5];

for i in &v {
    println!("A reference to {}", i);
}

for i in &mut v {
    println!("A mutable reference to {}", i);
}

for i in v {
    println!("Take ownership of the vector and its element {}", i);
}
#}

Note: You cannot use the vector again once you have iterated by taking ownership of the vector. You can iterate the vector multiple times by taking a reference to the vector whilst iterating. For example, the following code does not compile.

let v = vec![1, 2, 3, 4, 5];

for i in v {
    println!("Take ownership of the vector and its element {}", i);
}

for i in v {
    println!("Take ownership of the vector and its element {}", i);
}

Whereas the following works perfectly,


# #![allow(unused_variables)]
#fn main() {
let v = vec![1, 2, 3, 4, 5];

for i in &v {
    println!("This is a reference to {}", i);
}

for i in &v {
    println!("This is a reference to {}", i);
}
#}

Rust & WebAssembly para JavaScripters

Rust & WebAssembly para JavaScripters

A lo largo de la charla descubriremos las características más destacables de Rust, sus similitudes y diferencias con JavaScript y veremos qué aporta Rust al futuro de la Web gracias a WebAssembly. Rust es un lenguaje tipado, rápido y seguro, que ha sido diseñado por Mozilla como lenguaje de sistemas, aunque en los últimos tiempos ha ganado mucha popularidad en el terreno del desarrollo Web gracias a WebAssembly, su amplio ecosistema y gran comunidad

Rust es un lenguaje tipado, rápido y seguro, que ha sido diseñado por Mozilla como lenguaje de sistemas, aunque en los últimos tiempos ha ganado mucha popularidad en el terreno del desarrollo Web gracias a WebAssembly, su amplio ecosistema y gran comunidad. A lo largo de la charla descubriremos las características más destacables de Rust, sus similitudes y diferencias con JavaScript y veremos qué aporta Rust al futuro de la Web gracias a WebAssembly.

Rust vs. Go: Should I Rust, or Should I Go

Rust vs. Go: Should I Rust, or Should I Go

Well both Rust and Go provide amazing performance. Should you write you’re next big thing with Rust or with Go? Go is fast and powerful, but it avoids bogging the developer down, focusing instead on simplicity and uniformity. Rust. If on the other hand, wringing out every last ounce of performance is a necessity, then Rust should be your choice. Rust is more of a competitor to C++ than it is with Go.

Should I stay, or should I go?” Great song by the band The Clash. I’m listening to it, right now, while I’m writing this article. The song debuted back in 1982, a long time ago. Back then, I was just a kid exploring a new hobby — programming my Atari 2600. The first video game I ever wrote was written using 6502 Assembly for that console. The compiler for it cost about $65, if I recall, which at the time equated to mowing ~13 or so lawns.

The game was simple: using the joystick, maneuver your spaceship through a randomly generated scrolling cave. The cave walls were sinusoidal, scrolling vertically on the left and right sides of the screen, and you had to make sure your craft didn’t crash into them. I know, I know: Not that sophisticated. But I was only ten or eleven years old at the time.

Despite the “power” of the processor, computing sine values at run-time was simply too much for it. So, using my handy Texas Instruments calculator, I pre-calculated a bunch of the sine values, carefully writing them down on paper, and then entering them in as constants for the game. This greatly enhanced the performance of the game, and made it usable.

So what’s my point? What’s any of this got to do with Rust or Go?

Today’s languages are far more advanced than 6502 Assembly, which make it easier to write complex programs. It took a lot of my time to write that game, and I could do it much faster today, with less code than I did back then. But which language today provides that magic combination of simplicity and power?

Well both Rust and Go provide amazing performance. They both compile to machine code, the Holy Grail of performance. And with today’s processing power, developers can do amazing things with either of these languages. So the question is: Should you write you’re next big thing with Rust or with Go?

With a quick search, you can easily find several articles that go into detail about the differences between the two languages. But the focus of this article is the bang for the buck, that magic combination of performance per line of code.

To put it another way, where is that sweet spot of simple code and top-end performance? And in this case, is it Rust, or is it Go?
There really isn’t any argument: Rust is faster than Go. In the benchmarks above, Rust was faster, and in some cases, an order of magnitude faster.

But before you run off choosing to write everything in Rust, consider that Go wasn’t that far behind it in many of those benchmarks, and it’s still much faster than the likes of Java, C#, JavaScript, Python and so on. So in other words, it’s almost a wash between Rust and Go on the axis of performance. Now, if what you’re building needs to wring out every last ounce of performance, then by all means, choose Rust. But if what you need is top-of-the-line performance, then you’ll be ahead of the game choosing either of these two languages.

So then we’re down to the complexity of the code. This is where things can be muddy since this can be more subjective than performance benchmarks. Let’s look at a simple exercise: building a small web server that prints out “Hello World” when it receives an HTTP request. To do this in Rust, it looks something like this:

use std::net::{TcpStream, TcpListener};
use std::io::{Read, Write};
use std::thread;


fn handle_read(mut stream: &TcpStream) {
    let mut buf = [0u8; 4096];
    match stream.read(&mut buf) {
        Ok(_) => {
            let req_str = String::from_utf8_lossy(&buf);
            println!("{}", req_str);
            },
        Err(e) => println!("Unable to read stream: {}", e),
    }
}

fn handle_write(mut stream: TcpStream) {
    let response = b"HTTP/1.1 200 OK\r\nContent-Type: text/html; charset=UTF-8\r\n\r\n<html><body>Hello world</body></html>\r\n";
    match stream.write(response) {
        Ok(n) => println!("Response sent: {} bytes", n),
        Err(e) => println!("Failed sending response: {}", e),
    }
}

fn handle_client(stream: TcpStream) {
    handle_read(&stream);
    handle_write(stream);
}

fn main() {
    let port = "8080";
    let listener = TcpListener::bind(format!("127.0.0.1:{}", port)).unwrap();
    println!("Listening for connections on port {}", port);

    for stream in listener.incoming() {
        match stream {
            Ok(stream) => {
                thread::spawn(|| {
                    handle_client(stream)
                });
            }
            Err(e) => {
                println!("Unable to connect: {}", e);
            }
        }
    }
}

Something pretty similar in Go looks like this:

package main

import (
	"fmt"
	"io"
	"log"
	"net/http"
)

type handler struct{}

func (theHandler *handler) ServeHTTP(writer http.ResponseWriter, request *http.Request) {
	log.Printf("Received request: %s\n", request.URL)
	log.Printf("%v\n", request)
	io.WriteString(writer, "Hello world!")
}

const port = "8080"

func main() {
	server := http.Server{
		Addr:    fmt.Sprintf(":%s", port),
		Handler: &handler{},
	}

	server.ListenAndServe()
}

Now, they are not 100% exactly the same, but they are close enough. The difference between them is ~20 lines of code. Rust definitely forces the developer to consider more, and thus write more code than Go.

Another example: Consider one of the more difficult aspects of software development: multi-threading. When tackling something like this, as you undoubtedly would when building an HTTP server, there’s a lot to think about:

  • You need to ensure everything you design is thread safe (locks)
  • You need to handle communication between threads (channels)
  • You have to design with concurrency and parallelism in mind (threads and routines)

Both Rust and Go handle these hurdles really efficiently, but Go requires less effort. With Rust, you have way more options, and thus more power, when spawning threads. Just look at some of the documentation on this. Here’s just one way to spawn a thread in Rust:

use std::thread;

let handler = thread::spawn(|| {
    // thread code
});

handler.join().unwrap();

On the other hand, here’s how to create something similar using Go:

go someFunction(args)

Another crucial part of writing code is handling errors. Here I think Rust and Go are quite similar. Rust enables the developer to handle errors cases through the use of the enum return types: Option<T>and Result<T, E>. The Option<T> will return either None or Some(T) whereas Result<T, E> will return either Ok(T) or Err(T). Given that most of Rust’s own libraries, as well as other third-party libraries, return one of these types, the developer will usually have to handle the case where nothing is returned, or where an error is returned.

Here’s a simple example of the Result type being returned by a function in Rust:

fn foo_divide(a: f32, b: f32) -> Result<f32, &'static str> {
    if b == 0.0 {
        Err("divide by zero error!")
    } else {
        Ok(a / b)
    }
}fn main() {
    match foo_divide(5.0, 4.0) {
        Err(err) => println!("{}", err),
        Ok(result) => println!("5 / 4 = {}", result),
    }
}

Notice that the Err case must be handled within the match statement.

Go, on the other hand, leaves this more up to the developer, since errors can be ignored using the _. However, idiomatic Go strongly recommends returning an error, especially since functions in Go can return multiple values. Therefore, it’s easy to have functions return their intended value along with an error, if there is one.

Here is the corresponding example from above done in Go:

func fooDivide(a float32, b float32) (float32, error) {
    if b == 0 {
        return 0, errors.New("divide by zero error!")
    }    return a / b, nil
}func main() {
    result, err := fooDivide(5, 4)
    if err != nil {
       log.Printf("an error occurred: %v", err)
    } else {
       log.Printf("The answer is: 5 / 4 = %f", result)
    }
}

Notice that this line:

result, err := fooDivide(5, 4)

could have been written as

result, _ := fooDivide(5, 4)

In the latter case, the error returned would have been ignored.

Honestly, they’re both pretty similar, except for Rust forcing error checking. Otherwise, there’s little difference, and it’s difficult to find an advantage one has over the other. To my eyes, this is a draw.

I could keep going, digging deeper into other language differences. But the bottom line, from threads, to channels, to generics, Rust provides the developer with more options. In this respect, Rust is closer to C++ than Go. Does this make Rust inherently more complex?

I think so, yes.

So here are my recommendations:

  • Either. If you’re building a web service that handles high load, that you want to be able to scale both vertically and horizontally, either language will suit you perfectly.
  • Go. But if you want to write it faster, perhaps because you have many different services to write, or you have a large team of developers, then Go is your language of choice. Go gives you concurrency as a first-class citizen, and does not tolerate unsafe memory access (neither does Rust), but without forcing you to manage every last detail. Go is fast and powerful, but it avoids bogging the developer down, focusing instead on simplicity and uniformity.
  • Rust. If on the other hand, wringing out every last ounce of performance is a necessity, then Rust should be your choice. Rust is more of a competitor to C++ than it is with Go. Having battled with C++, Rust feels just as powerful but with many happy improvements. Rust empowers developers to have control over every last detail of how their threads behave with the rest of the system, how errors should be handled, and even the lifetime of their variables!
  • Rust. Rust was designed to interoperate with C. Go can as well, but gives up a lot to achieve this goal, and it’s not really its focus.
  • Go. If readability is a requirement, go with Go. It’s far too easy to make your code hard for others to grok with Rust.

I hope you enjoyed reading this!

The Rust Programming Language - Understanding If in Rust

The Rust Programming Language - Understanding If in Rust

The Rust Programming Language - Understanding If in Rust. Rust’s take on if is not particularly complex, but it’s much more like the if you’ll find in a dynamically typed language than in a more traditional systems language. if is a specific form of a more general concept, the ‘branch’, whose name comes from a branch in a tree: a decision point, where depending on a choice, multiple paths can be taken.

Rust’s take on if is not particularly complex, but it’s much more like the if you’ll find in a dynamically typed language than in a more traditional systems language. So let’s talk about it, to make sure you grasp the nuances.

if is a specific form of a more general concept, the ‘branch’, whose name comes from a branch in a tree: a decision point, where depending on a choice, multiple paths can be taken.

In the case of if, there is one choice that leads down two paths:


# #![allow(unused_variables)]
#fn main() {
let x = 5;

if x == 5 {
    println!("x is five!");
}
#}

If we changed the value of x to something else, this line would not print. More specifically, if the expression after the if evaluates to true, then the block is executed. If it’s false, then it is not.

If you want something to happen in the false case, use an else:


# #![allow(unused_variables)]
#fn main() {
let x = 5;

if x == 5 {
    println!("x is five!");
} else {
    println!("x is not five :(");
}
#}

If there is more than one case, use an else if:


# #![allow(unused_variables)]
#fn main() {
let x = 5;

if x == 5 {
    println!("x is five!");
} else if x == 6 {
    println!("x is six!");
} else {
    println!("x is not five or six :(");
}
#}

This is all pretty standard. However, you can also do this:


# #![allow(unused_variables)]
#fn main() {
let x = 5;

let y = if x == 5 {
    10
} else {
    15
}; // y: i32
#}

Which we can (and probably should) write like this:


# #![allow(unused_variables)]
#fn main() {
let x = 5;

let y = if x == 5 { 10 } else { 15 }; // y: i32
#}

This works because if is an expression. The value of the expression is the value of the last expression in whichever branch was chosen. An if without an else always results in () as the value.