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 20 / 111 节

第 20 节 · SECTION 20

Defining and Instantiating Structs

Defining and Instantiating Structs

Structs are similar to tuples, discussed in “The Tuple Type” section, in that both hold multiple related values. Like tuples, the pieces of a struct can be different types. Unlike with tuples, in a struct you’ll name each piece of data so it’s clear what the values mean. Adding these names means that structs are more flexible than tuples: You don’t have to rely on the order of the data to specify or access the values of an instance.

To define a struct, we enter the keyword struct and name the entire struct. A struct’s name should describe the significance of the pieces of data being grouped together. Then, inside curly brackets, we define the names and types of the pieces of data, which we call fields. For example, Listing 5-1 shows a struct that stores information about a user account.

Listing 5-1: A User struct definition Filename: src/main.rs

struct User {
    active: bool,
    username: String,
    email: String,
    sign_in_count: u64,
}

To use a struct after we’ve defined it, we create an instance of that struct by specifying concrete values for each of the fields. We create an instance by stating the name of the struct and then add curly brackets containing key: value pairs, where the keys are the names of the fields and the values are the data we want to store in those fields. We don’t have to specify the fields in the same order in which we declared them in the struct. In other words, the struct definition is like a general template for the type, and instances fill in that template with particular data to create values of the type. For example, we can declare a particular user as shown in Listing 5-2.

Listing 5-2: Creating an instance of the User struct Filename: src/main.rs

fn main() {
    let user1 = User {
        active: true,
        username: String::from("someusername123"),
        email: String::from("someone@example.com"),
        sign_in_count: 1,
    };
}

To get a specific value from a struct, we use dot notation. For example, to access this user’s email address, we use user1.email. If the instance is mutable, we can change a value by using the dot notation and assigning into a particular field. Listing 5-3 shows how to change the value in the email field of a mutable User instance.

Listing 5-3: Changing the value in the email field of a User instance Filename: src/main.rs

fn main() {
    let mut user1 = User {
        active: true,
        username: String::from("someusername123"),
        email: String::from("someone@example.com"),
        sign_in_count: 1,
    };

    user1.email = String::from("anotheremail@example.com");
}

Note that the entire instance must be mutable; Rust doesn’t allow us to mark only certain fields as mutable. As with any expression, we can construct a new instance of the struct as the last expression in the function body to implicitly return that new instance.

Listing 5-4 shows a build_user function that returns a User instance with the given email and username. The active field gets the value true, and the sign_in_count gets a value of 1.

Listing 5-4: A build_user function that takes an email and username and returns a User instance Filename: src/main.rs

fn build_user(email: String, username: String) -> User {
    User {
        active: true,
        username: username,
        email: email,
        sign_in_count: 1,
    }
}

It makes sense to name the function parameters with the same name as the struct fields, but having to repeat the email and username field names and variables is a bit tedious. If the struct had more fields, repeating each name would get even more annoying. Luckily, there’s a convenient shorthand!

Using the Field Init Shorthand

Because the parameter names and the struct field names are exactly the same in Listing 5-4, we can use the field init shorthand syntax to rewrite build_user so that it behaves exactly the same but doesn’t have the repetition of username and email, as shown in Listing 5-5.

Listing 5-5: A build_user function that uses field init shorthand because the username and email parameters have the same name as struct fields Filename: src/main.rs

fn build_user(email: String, username: String) -> User {
    User {
        active: true,
        username,
        email,
        sign_in_count: 1,
    }
}

Here, we’re creating a new instance of the User struct, which has a field named email. We want to set the email field’s value to the value in the email parameter of the build_user function. Because the email field and the email parameter have the same name, we only need to write email rather than email: email.

Creating Instances with Struct Update Syntax

It’s often useful to create a new instance of a struct that includes most of the values from another instance of the same type, but changes some of them. You can do this using struct update syntax.

First, in Listing 5-6 we show how to create a new User instance in user2 in the regular way, without the update syntax. We set a new value for email but otherwise use the same values from user1 that we created in Listing 5-2.

Listing 5-6: Creating a new User instance using all but one of the values from user1 Filename: src/main.rs

fn main() {
    // --snip--

    let user2 = User {
        active: user1.active,
        username: user1.username,
        email: String::from("another@example.com"),
        sign_in_count: user1.sign_in_count,
    };
}

Using struct update syntax, we can achieve the same effect with less code, as shown in Listing 5-7. The syntax .. specifies that the remaining fields not explicitly set should have the same value as the fields in the given instance.

Listing 5-7: Using struct update syntax to set a new email value for a User instance but to use the rest of the values from user1 Filename: src/main.rs

fn main() {
    // --snip--

    let user2 = User {
        email: String::from("another@example.com"),
        ..user1
    };
}

The code in Listing 5-7 also creates an instance in user2 that has a different value for email but has the same values for the username, active, and sign_in_count fields from user1. The ..user1 must come last to specify that any remaining fields should get their values from the corresponding fields in user1, but we can choose to specify values for as many fields as we want in any order, regardless of the order of the fields in the struct’s definition.

Note that the struct update syntax uses = like an assignment; this is because it moves the data, just as we saw in the “Variables and Data Interacting with Move” section. In this example, we can no longer use user1 after creating user2 because the String in the username field of user1 was moved into user2. If we had given user2 new String values for both email and username, and thus only used the active and sign_in_count values from user1, then user1 would still be valid after creating user2. Both active and sign_in_count are types that implement the Copy trait, so the behavior we discussed in the “Stack-Only Data: Copy” section would apply. We can also still use user1.email in this example, because its value was not moved out of user1.

Creating Different Types with Tuple Structs

Rust also supports structs that look similar to tuples, called tuple structs. Tuple structs have the added meaning the struct name provides but don’t have names associated with their fields; rather, they just have the types of the fields. Tuple structs are useful when you want to give the whole tuple a name and make the tuple a different type from other tuples, and when naming each field as in a regular struct would be verbose or redundant.

To define a tuple struct, start with the struct keyword and the struct name followed by the types in the tuple. For example, here we define and use two tuple structs named Color and Point:

Filename: src/main.rs

struct Color(i32, i32, i32);
struct Point(i32, i32, i32);

fn main() {
    let black = Color(0, 0, 0);
    let origin = Point(0, 0, 0);
}

Note that the black and origin values are different types because they’re instances of different tuple structs. Each struct you define is its own type, even though the fields within the struct might have the same types. For example, a function that takes a parameter of type Color cannot take a Point as an argument, even though both types are made up of three i32 values. Otherwise, tuple struct instances are similar to tuples in that you can destructure them into their individual pieces, and you can use a . followed by the index to access an individual value. Unlike tuples, tuple structs require you to name the type of the struct when you destructure them. For example, we would write let Point(x, y, z) = origin; to destructure the values in the origin point into variables named x, y, and z.

Defining Unit-Like Structs

You can also define structs that don’t have any fields! These are called unit-like structs because they behave similarly to (), the unit type that we mentioned in “The Tuple Type” section. Unit-like structs can be useful when you need to implement a trait on some type but don’t have any data that you want to store in the type itself. We’ll discuss traits in Chapter 10. Here’s an example of declaring and instantiating a unit struct named AlwaysEqual:

Filename: src/main.rs

struct AlwaysEqual;

fn main() {
    let subject = AlwaysEqual;
}

To define AlwaysEqual, we use the struct keyword, the name we want, and then a semicolon. No need for curly brackets or parentheses! Then, we can get an instance of AlwaysEqual in the subject variable in a similar way: using the name we defined, without any curly brackets or parentheses. Imagine that later we’ll implement behavior for this type such that every instance of AlwaysEqual is always equal to every instance of any other type, perhaps to have a known result for testing purposes. We wouldn’t need any data to implement that behavior! You’ll see in Chapter 10 how to define traits and implement them on any type, including unit-like structs.

Ownership of Struct Data

In the User struct definition in Listing 5-1, we used the owned String type rather than the &str string slice type. This is a deliberate choice because we want each instance of this struct to own all of its data and for that data to be valid for as long as the entire struct is valid.

It’s also possible for structs to store references to data owned by something else, but to do so requires the use of lifetimes, a Rust feature that we’ll discuss in Chapter 10. Lifetimes ensure that the data referenced by a struct is valid for as long as the struct is. Let’s say you try to store a reference in a struct without specifying lifetimes, like the following in src/main.rs; this won’t work:

Filename: src/main.rs

struct User {
    active: bool,
    username: &str,
    email: &str,
    sign_in_count: u64,
}

fn main() {
    let user1 = User {
        active: true,
        username: "someusername123",
        email: "someone@example.com",
        sign_in_count: 1,
    };
}

The compiler will complain that it needs lifetime specifiers:

$ cargo run
   Compiling structs v0.1.0 (file:///projects/structs)
error[E0106]: missing lifetime specifier
 --> src/main.rs:3:15
  |
3 |     username: &str,
  |               ^ expected named lifetime parameter
  |
help: consider introducing a named lifetime parameter
  |
1 ~ struct User<'a> {
2 |     active: bool,
3 ~     username: &'a str,
  |

error[E0106]: missing lifetime specifier
 --> src/main.rs:4:12
  |
4 |     email: &str,
  |            ^ expected named lifetime parameter
  |
help: consider introducing a named lifetime parameter
  |
1 ~ struct User<'a> {
2 |     active: bool,
3 |     username: &str,
4 ~     email: &'a str,
  |

For more information about this error, try `rustc --explain E0106`.
error: could not compile `structs` (bin "structs") due to 2 previous errors

In Chapter 10, we’ll discuss how to fix these errors so that you can store references in structs, but for now, we’ll fix errors like these using owned types like String instead of references like &str.