返回首页返回书籍《The Rust Programming Language》
目录

目录 · CONTENTS

  1. 01The Rust Programming Language
  2. 02Foreword
  3. 03Introduction
  4. 04Getting Started
  5. 05Installation
  6. 06Hello, World!
  7. 07Hello, Cargo!
  8. 08Programming a Guessing Game
  9. 09Common Programming Concepts
  10. 10Variables and Mutability
  11. 11Data Types
  12. 12Functions
  13. 13Comments
  14. 14Control Flow
  15. 15Understanding Ownership
  16. 16What is Ownership?
  17. 17References and Borrowing
  18. 18The Slice Type
  19. 19Using Structs to Structure Related Data
  20. 20Defining and Instantiating Structs
  21. 21An Example Program Using Structs
  22. 22Methods
  23. 23Enums and Pattern Matching
  24. 24Defining an Enum
  25. 25The `match` Control Flow Construct
  26. 26Concise Control Flow with `if let` and `let...else`
  27. 27Packages, Crates, and Modules
  28. 28Packages and Crates
  29. 29Control Scope and Privacy with Modules
  30. 30Paths for Referring to an Item in the Module Tree
  31. 31Bringing Paths Into Scope with the `use` Keyword
  32. 32Separating Modules into Different Files
  33. 33Common Collections
  34. 34Storing Lists of Values with Vectors
  35. 35Storing UTF-8 Encoded Text with Strings
  36. 36Storing Keys with Associated Values in Hash Maps
  37. 37Error Handling
  38. 38Unrecoverable Errors with `panic!`
  39. 39Recoverable Errors with `Result`
  40. 40To `panic!` or Not to `panic!`
  41. 41Generic Types, Traits, and Lifetimes
  42. 42Generic Data Types
  43. 43Defining Shared Behavior with Traits
  44. 44Validating References with Lifetimes
  45. 45Writing Automated Tests
  46. 46How to Write Tests
  47. 47Controlling How Tests Are Run
  48. 48Test Organization
  49. 49An I/O Project: Building a Command Line Program
  50. 50Accepting Command Line Arguments
  51. 51Reading a File
  52. 52Refactoring to Improve Modularity and Error Handling
  53. 53Adding Functionality with Test Driven Development
  54. 54Working with Environment Variables
  55. 55Redirecting Errors to Standard Error
  56. 56Functional Language Features: Iterators and Closures
  57. 57Closures
  58. 58Processing a Series of Items with Iterators
  59. 59Improving Our I/O Project
  60. 60Performance in Loops vs. Iterators
  61. 61More About Cargo and Crates.io
  62. 62Customizing Builds with Release Profiles
  63. 63Publishing a Crate to Crates.io
  64. 64Cargo Workspaces
  65. 65Installing Binaries with `cargo install`
  66. 66Extending Cargo with Custom Commands
  67. 67Smart Pointers
  68. 68Using `Box<T>` to Point to Data on the Heap
  69. 69Treating Smart Pointers Like Regular References
  70. 70Running Code on Cleanup with the `Drop` Trait
  71. 71`Rc<T>`, the Reference Counted Smart Pointer
  72. 72`RefCell<T>` and the Interior Mutability Pattern
  73. 73Reference Cycles Can Leak Memory
  74. 74Fearless Concurrency
  75. 75Using Threads to Run Code Simultaneously
  76. 76Transfer Data Between Threads with Message Passing
  77. 77Shared-State Concurrency
  78. 78Extensible Concurrency with `Send` and `Sync`
  79. 79Fundamentals of Asynchronous Programming: Async, Await, Futures, and Streams
  80. 80extern crate trpl; // required for mdbook test
  81. 81Applying Concurrency with Async
  82. 82Working With Any Number of Futures
  83. 83Streams: Futures in Sequence
  84. 84A Closer Look at the Traits for Async
  85. 85Futures, Tasks, and Threads
  86. 86Object-Oriented Programming Features
  87. 87Characteristics of Object-Oriented Languages
  88. 88Using Trait Objects to Abstract over Shared Behavior
  89. 89Implementing an Object-Oriented Design Pattern
  90. 90Patterns and Matching
  91. 91All the Places Patterns Can Be Used
  92. 92Refutability: Whether a Pattern Might Fail to Match
  93. 93Pattern Syntax
  94. 94Advanced Features
  95. 95Unsafe Rust
  96. 96Advanced Traits
  97. 97Advanced Types
  98. 98Advanced Functions and Closures
  99. 99Macros
  100. 100Final Project: Building a Multithreaded Web Server
  101. 101Building a Single-Threaded Web Server
  102. 102From Single-Threaded to Multithreaded Server
  103. 103Graceful Shutdown and Cleanup
  104. 104Appendix
  105. 105A - Keywords
  106. 106B - Operators and Symbols
  107. 107C - Derivable Traits
  108. 108D - Useful Development Tools
  109. 109E - Editions
  110. 110F - Translations of the Book
  111. 111G - How Rust is Made and “Nightly Rust”
第 88 / 111 节

第 88 节 · SECTION 88

Using Trait Objects to Abstract over Shared Behavior

Using Trait Objects to Abstract over Shared Behavior

In Chapter 8, we mentioned that one limitation of vectors is that they can store elements of only one type. We created a workaround in Listing 8-9 where we defined a SpreadsheetCell enum that had variants to hold integers, floats, and text. This meant we could store different types of data in each cell and still have a vector that represented a row of cells. This is a perfectly good solution when our interchangeable items are a fixed set of types that we know when our code is compiled.

However, sometimes we want our library user to be able to extend the set of types that are valid in a particular situation. To show how we might achieve this, we’ll create an example graphical user interface (GUI) tool that iterates through a list of items, calling a draw method on each one to draw it to the screen—a common technique for GUI tools. We’ll create a library crate called gui that contains the structure of a GUI library. This crate might include some types for people to use, such as Button or TextField. In addition, gui users will want to create their own types that can be drawn: For instance, one programmer might add an Image, and another might add a SelectBox.

At the time of writing the library, we can’t know and define all the types other programmers might want to create. But we do know that gui needs to keep track of many values of different types, and it needs to call a draw method on each of these differently typed values. It doesn’t need to know exactly what will happen when we call the draw method, just that the value will have that method available for us to call.

To do this in a language with inheritance, we might define a class named Component that has a method named draw on it. The other classes, such as Button, Image, and SelectBox, would inherit from Component and thus inherit the draw method. They could each override the draw method to define their custom behavior, but the framework could treat all of the types as if they were Component instances and call draw on them. But because Rust doesn’t have inheritance, we need another way to structure the gui library to allow users to create new types compatible with the library.

Defining a Trait for Common Behavior

To implement the behavior that we want gui to have, we’ll define a trait named Draw that will have one method named draw. Then, we can define a vector that takes a trait object. A trait object points to both an instance of a type implementing our specified trait and a table used to look up trait methods on that type at runtime. We create a trait object by specifying some sort of pointer, such as a reference or a Box<T> smart pointer, then the dyn keyword, and then specifying the relevant trait. (We’ll talk about the reason trait objects must use a pointer in “Dynamically Sized Types and the Sized Trait” in Chapter 20.) We can use trait objects in place of a generic or concrete type. Wherever we use a trait object, Rust’s type system will ensure at compile time that any value used in that context will implement the trait object’s trait. Consequently, we don’t need to know all the possible types at compile time.

We’ve mentioned that, in Rust, we refrain from calling structs and enums “objects” to distinguish them from other languages’ objects. In a struct or enum, the data in the struct fields and the behavior in impl blocks are separated, whereas in other languages, the data and behavior combined into one concept is often labeled an object. Trait objects differ from objects in other languages in that we can’t add data to a trait object. Trait objects aren’t as generally useful as objects in other languages: Their specific purpose is to allow abstraction across common behavior.

Listing 18-3 shows how to define a trait named Draw with one method named draw.

Listing 18-3: Definition of the Draw trait Filename: src/lib.rs

pub trait Draw {
    fn draw(&self);
}

This syntax should look familiar from our discussions on how to define traits in Chapter 10. Next comes some new syntax: Listing 18-4 defines a struct named Screen that holds a vector named components. This vector is of type Box<dyn Draw>, which is a trait object; it’s a stand-in for any type inside a Box that implements the Draw trait.

Listing 18-4: Definition of the Screen struct with a components field holding a vector of trait objects that implement the Draw trait Filename: src/lib.rs

pub struct Screen {
    pub components: Vec<Box<dyn Draw>>,
}

On the Screen struct, we’ll define a method named run that will call the draw method on each of its components, as shown in Listing 18-5.

Listing 18-5: A run method on Screen that calls the draw method on each component Filename: src/lib.rs

impl Screen {
    pub fn run(&self) {
        for component in self.components.iter() {
            component.draw();
        }
    }
}

This works differently from defining a struct that uses a generic type parameter with trait bounds. A generic type parameter can be substituted with only one concrete type at a time, whereas trait objects allow for multiple concrete types to fill in for the trait object at runtime. For example, we could have defined the Screen struct using a generic type and a trait bound, as in Listing 18-6.

Listing 18-6: An alternate implementation of the Screen struct and its run method using generics and trait bounds Filename: src/lib.rs

pub struct Screen<T: Draw> {
    pub components: Vec<T>,
}

impl<T> Screen<T>
where
    T: Draw,
{
    pub fn run(&self) {
        for component in self.components.iter() {
            component.draw();
        }
    }
}

This restricts us to a Screen instance that has a list of components all of type Button or all of type TextField. If you’ll only ever have homogeneous collections, using generics and trait bounds is preferable because the definitions will be monomorphized at compile time to use the concrete types.

On the other hand, with the method using trait objects, one Screen instance can hold a Vec<T> that contains a Box<Button> as well as a Box<TextField>. Let’s look at how this works, and then we’ll talk about the runtime performance implications.

Implementing the Trait

Now we’ll add some types that implement the Draw trait. We’ll provide the Button type. Again, actually implementing a GUI library is beyond the scope of this book, so the draw method won’t have any useful implementation in its body. To imagine what the implementation might look like, a Button struct might have fields for width, height, and label, as shown in Listing 18-7.

Listing 18-7: A Button struct that implements the Draw trait Filename: src/lib.rs

pub struct Button {
    pub width: u32,
    pub height: u32,
    pub label: String,
}

impl Draw for Button {
    fn draw(&self) {
        // code to actually draw a button
    }
}

The width, height, and label fields on Button will differ from the fields on other components; for example, a TextField type might have those same fields plus a placeholder field. Each of the types we want to draw on the screen will implement the Draw trait but will use different code in the draw method to define how to draw that particular type, as Button has here (without the actual GUI code, as mentioned). The Button type, for instance, might have an additional impl block containing methods related to what happens when a user clicks the button. These kinds of methods won’t apply to types like TextField.

If someone using our library decides to implement a SelectBox struct that has width, height, and options fields, they would implement the Draw trait on the SelectBox type as well, as shown in Listing 18-8.

Listing 18-8: Another crate using gui and implementing the Draw trait on a SelectBox struct Filename: src/main.rs

use gui::Draw;

struct SelectBox {
    width: u32,
    height: u32,
    options: Vec<String>,
}

impl Draw for SelectBox {
    fn draw(&self) {
        // code to actually draw a select box
    }
}

Our library’s user can now write their main function to create a Screen instance. To the Screen instance, they can add a SelectBox and a Button by putting each in a Box<T> to become a trait object. They can then call the run method on the Screen instance, which will call draw on each of the components. Listing 18-9 shows this implementation.

Listing 18-9: Using trait objects to store values of different types that implement the same trait Filename: src/main.rs

use gui::{Button, Screen};

fn main() {
    let screen = Screen {
        components: vec![
            Box::new(SelectBox {
                width: 75,
                height: 10,
                options: vec![
                    String::from("Yes"),
                    String::from("Maybe"),
                    String::from("No"),
                ],
            }),
            Box::new(Button {
                width: 50,
                height: 10,
                label: String::from("OK"),
            }),
        ],
    };

    screen.run();
}

When we wrote the library, we didn’t know that someone might add the SelectBox type, but our Screen implementation was able to operate on the new type and draw it because SelectBox implements the Draw trait, which means it implements the draw method.

This concept—of being concerned only with the messages a value responds to rather than the value’s concrete type—is similar to the concept of duck typing in dynamically typed languages: If it walks like a duck and quacks like a duck, then it must be a duck! In the implementation of run on Screen in Listing 18-5, run doesn’t need to know what the concrete type of each component is. It doesn’t check whether a component is an instance of a Button or a SelectBox, it just calls the draw method on the component. By specifying Box<dyn Draw> as the type of the values in the components vector, we’ve defined Screen to need values that we can call the draw method on.

The advantage of using trait objects and Rust’s type system to write code similar to code using duck typing is that we never have to check whether a value implements a particular method at runtime or worry about getting errors if a value doesn’t implement a method but we call it anyway. Rust won’t compile our code if the values don’t implement the traits that the trait objects need.

For example, Listing 18-10 shows what happens if we try to create a Screen with a String as a component.

Listing 18-10: Attempting to use a type that doesn’t implement the trait object’s trait Filename: src/main.rs

use gui::Screen;

fn main() {
    let screen = Screen {
        components: vec![Box::new(String::from("Hi"))],
    };

    screen.run();
}

We’ll get this error because String doesn’t implement the Draw trait:

$ cargo run
   Compiling gui v0.1.0 (file:///projects/gui)
error[E0277]: the trait bound `String: Draw` is not satisfied
  --> src/main.rs:5:26
   |
 5 |         components: vec![Box::new(String::from("Hi"))],
   |                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the trait `Draw` is not implemented for `String`
   |
help: the trait `Draw` is implemented for `Button`
  --> src/lib.rs:23:1
   |
23 | impl Draw for Button {
   | ^^^^^^^^^^^^^^^^^^^^
   = note: required for the cast from `Box<String>` to `Box<dyn Draw>`

For more information about this error, try `rustc --explain E0277`.
error: could not compile `gui` (bin "gui") due to 1 previous error

This error lets us know that either we’re passing something to Screen that we didn’t mean to pass and so should pass a different type, or we should implement Draw on String so that Screen is able to call draw on it.

Performing Dynamic Dispatch

Recall in “Performance of Code Using Generics” in Chapter 10 our discussion on the monomorphization process performed on generics by the compiler: The compiler generates nongeneric implementations of functions and methods for each concrete type that we use in place of a generic type parameter. The code that results from monomorphization is doing static dispatch, which is when the compiler knows what method you’re calling at compile time. This is opposed to dynamic dispatch, which is when the compiler can’t tell at compile time which method you’re calling. In dynamic dispatch cases, the compiler emits code that at runtime will know which method to call.

When we use trait objects, Rust must use dynamic dispatch. The compiler doesn’t know all the types that might be used with the code that’s using trait objects, so it doesn’t know which method implemented on which type to call. Instead, at runtime, Rust uses the pointers inside the trait object to know which method to call. This lookup incurs a runtime cost that doesn’t occur with static dispatch. Dynamic dispatch also prevents the compiler from choosing to inline a method’s code, which in turn prevents some optimizations, and Rust has some rules about where you can and cannot use dynamic dispatch, called dyn compatibility. Those rules are beyond the scope of this discussion, but you can read more about them in the reference. However, we did get extra flexibility in the code that we wrote in Listing 18-5 and were able to support in Listing 18-9, so it’s a trade-off to consider.