rust에 추가된 개념으로 변수의 소유권 이라는 것이 있다.
좀 더 봐야 하지만, stack에 저장되는 경우에는 적용이 되지 않고 heap에 저장되는 변수들에 대해서 적용 될 것으로 예상된다.
변수 타입중 primitive와는 연관이 없을 것 같긴하다.
[링크 : https://doc.rust-lang.org/book/ch03-02-data-types.html]
소유자는 하나이다. 이게 포인트
| Ownership Rules First, let’s take a look at the ownership rules. Keep these rules in mind as we work through the examples that illustrate them: Each value in Rust has an owner. There can only be one owner at a time. When the owner goes out of scope, the value will be dropped. |
primitive 타입이라 그런건지 아니면 heap이 아닌 stack에 생성되는 변수이기 때문인진 좀 더 봐야 하지만
x = 5; y = x;의 경우에는 5의 소유권이 x에 있지만 y = x를 통해 x가 지닌 5의 소유권이 y에게로 가는 것으로 보이진 않는다.
| Variables and Data Interacting with Move Multiple variables can interact with the same data in different ways in Rust. Let’s look at an example using an integer in Listing 4-2. let x = 5; let y = x; Listing 4-2: Assigning the integer value of variable x to y We can probably guess what this is doing: “bind the value 5 to x; then make a copy of the value in x and bind it to y.” We now have two variables, x and y, and both equal 5. This is indeed what is happening, because integers are simple values with a known, fixed size, and these two 5 values are pushed onto the stack. Now let’s look at the String version: let s1 = String::from("hello"); let s2 = s1; This looks very similar, so we might assume that the way it works would be the same: that is, the second line would make a copy of the value in s1 and bind it to s2. But this isn’t quite what happens. |
간단(?)하게 생각하면 중괄호 끝날때가 scope의 끝이고
(사용자에게 보이진 않지만) 그때 마다 drop 함수가 호출되고 메모리 관리가 수행되는 것으로 생각된다.
그리고 이 때 소유권에 따라 사용되지 않는 변수는 사라지게 된다.
| There is a natural point at which we can return the memory our String needs to the allocator: when s goes out of scope. When a variable goes out of scope, Rust calls a special function for us. This function is called drop, and it’s where the author of String can put the code to return the memory. Rust calls drop automatically at the closing curly bracket. Note: In C++, this pattern of deallocating resources at the end of an item’s lifetime is sometimes called Resource Acquisition Is Initialization (RAII). The drop function in Rust will be familiar to you if you’ve used RAII patterns. |
간단하게 생각하면... 메모리 포인터에 대해서 언어 레벨에서 관리하여
동일 포인터를 포인터 변수에 저장할 수 없도록 관리 하는 것이 소유권이라고 봐도 무방할 것 같다.
| Earlier, we said that when a variable goes out of scope, Rust automatically calls the drop function and cleans up the heap memory for that variable. But Figure 4-2 shows both data pointers pointing to the same location. This is a problem: when s2 and s1 go out of scope, they will both try to free the same memory. This is known as a double free error and is one of the memory safety bugs we mentioned previously. Freeing memory twice can lead to memory corruption, which can potentially lead to security vulnerabilities. To ensure memory safety, after the line let s2 = s1;, Rust considers s1 as no longer valid. Therefore, Rust doesn’t need to free anything when s1 goes out of scope. Check out what happens when you try to use s1 after s2 is created; it won’t work: This code does not compile! let s1 = String::from("hello"); let s2 = s1; println!("{}, world!", s1); You’ll get an error like this because Rust prevents you from using the invalidated reference: $ cargo run Compiling ownership v0.1.0 (file:///projects/ownership) error[E0382]: borrow of moved value: `s1` --> src/main.rs:5:28 | 2 | let s1 = String::from("hello"); | -- move occurs because `s1` has type `String`, which does not implement the `Copy` trait 3 | let s2 = s1; | -- value moved here 4 | 5 | println!("{}, world!", s1); | ^^ value borrowed here after move | = note: this error originates in the macro `$crate::format_args_nl` which comes from the expansion of the macro `println` (in Nightly builds, run with -Z macro-backtrace for more info) help: consider cloning the value if the performance cost is acceptable | 3 | let s2 = s1.clone(); | ++++++++ For more information about this error, try `rustc --explain E0382`. error: could not compile `ownership` due to previous error If you’ve heard the terms shallow copy and deep copy while working with other languages, the concept of copying the pointer, length, and capacity without copying the data probably sounds like making a shallow copy. But because Rust also invalidates the first variable, instead of being called a shallow copy, it’s known as a move. In this example, we would say that s1 was moved into s2. So, what actually happens is shown in Figure 4-4. |
[링크 : https://doc.rust-lang.org/book/ch04-01-what-is-ownership.html]
+
단일 소유자면 어떻게 공유를 해? 했는데 검색해보니 다행히(!)
멀티 쓰레드 환경에서의 다중 소유권 내용이 존재한다.
다만 Rc는 thread safe하지 않으니 arc를 쓰란다.
| Multiple Ownership with Multiple Threads In Chapter 15, we gave a value multiple owners by using the smart pointer Rc<T> to create a reference counted value. Let’s do the same here and see what happens. We’ll wrap the Mutex<T> in Rc<T> in Listing 16-14 and clone the Rc<T> before moving ownership to the thread. Filename: src/main.rs This code does not compile! use std::rc::Rc; use std::sync::Mutex; use std::thread; fn main() { let counter = Rc::new(Mutex::new(0)); let mut handles = vec![]; for _ in 0..10 { let counter = Rc::clone(&counter); let handle = thread::spawn(move || { let mut num = counter.lock().unwrap(); *num += 1; }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } println!("Result: {}", *counter.lock().unwrap()); } Listing 16-14: Attempting to use Rc<T> to allow multiple threads to own the Mutex<T> Once again, we compile and get... different errors! The compiler is teaching us a lot. $ cargo run Compiling shared-state v0.1.0 (file:///projects/shared-state) error[E0277]: `Rc<Mutex<i32>>` cannot be sent between threads safely --> src/main.rs:11:36 | 11 | let handle = thread::spawn(move || { | ------------- ^------ | | | | ______________________|_____________within this `[closure@src/main.rs:11:36: 11:43]` | | | | | required by a bound introduced by this call 12 | | let mut num = counter.lock().unwrap(); 13 | | 14 | | *num += 1; 15 | | }); | |_________^ `Rc<Mutex<i32>>` cannot be sent between threads safely | = help: within `[closure@src/main.rs:11:36: 11:43]`, the trait `Send` is not implemented for `Rc<Mutex<i32>>` note: required because it's used within this closure --> src/main.rs:11:36 | 11 | let handle = thread::spawn(move || { | ^^^^^^^ note: required by a bound in `spawn` --> /rustc/d5a82bbd26e1ad8b7401f6a718a9c57c96905483/library/std/src/thread/mod.rs:704:8 | = note: required by this bound in `spawn` For more information about this error, try `rustc --explain E0277`. error: could not compile `shared-state` due to previous error Wow, that error message is very wordy! Here’s the important part to focus on: `Rc<Mutex<i32>>` cannot be sent between threads safely. The compiler is also telling us the reason why: the trait `Send` is not implemented for `Rc<Mutex<i32>>` . We’ll talk about Send in the next section: it’s one of the traits that ensures the types we use with threads are meant for use in concurrent situations. Unfortunately, Rc<T> is not safe to share across threads. When Rc<T> manages the reference count, it adds to the count for each call to clone and subtracts from the count when each clone is dropped. But it doesn’t use any concurrency primitives to make sure that changes to the count can’t be interrupted by another thread. This could lead to wrong counts—subtle bugs that could in turn lead to memory leaks or a value being dropped before we’re done with it. What we need is a type exactly like Rc<T> but one that makes changes to the reference count in a thread-safe way. Atomic Reference Counting with Arc<T> Fortunately, Arc<T> is a type like Rc<T> that is safe to use in concurrent situations. The a stands for atomic, meaning it’s an atomically reference counted type. Atomics are an additional kind of concurrency primitive that we won’t cover in detail here: see the standard library documentation for std::sync::atomic for more details. At this point, you just need to know that atomics work like primitive types but are safe to share across threads. You might then wonder why all primitive types aren’t atomic and why standard library types aren’t implemented to use Arc<T> by default. The reason is that thread safety comes with a performance penalty that you only want to pay when you really need to. If you’re just performing operations on values within a single thread, your code can run faster if it doesn’t have to enforce the guarantees atomics provide. Let’s return to our example: Arc<T> and Rc<T> have the same API, so we fix our program by changing the use line, the call to new, and the call to clone. The code in Listing 16-15 will finally compile and run: Filename: src/main.rs use std::sync::{Arc, Mutex}; use std::thread; fn main() { let counter = Arc::new(Mutex::new(0)); let mut handles = vec![]; for _ in 0..10 { let counter = Arc::clone(&counter); let handle = thread::spawn(move || { let mut num = counter.lock().unwrap(); *num += 1; }); handles.push(handle); } for handle in handles { handle.join().unwrap(); } println!("Result: {}", *counter.lock().unwrap()); } Listing 16-15: Using an Arc<T> to wrap the Mutex<T> to be able to share ownership across multiple threads This code will print the following: Result: 10 We did it! We counted from 0 to 10, which may not seem very impressive, but it did teach us a lot about Mutex<T> and thread safety. You could also use this program’s structure to do more complicated operations than just incrementing a counter. Using this strategy, you can divide a calculation into independent parts, split those parts across threads, and then use a Mutex<T> to have each thread update the final result with its part. Note that if you are doing simple numerical operations, there are types simpler than Mutex<T> types provided by the std::sync::atomic module of the standard library. These types provide safe, concurrent, atomic access to primitive types. We chose to use Mutex<T> with a primitive type for this example so we could concentrate on how Mutex<T> works. |
[링크 : https://doc.rust-lang.org/book/ch16-03-shared-state.html]
스마트 포인터 하니 왜 cpp가 떠오르냐..(안봤음!)
아무튼 말 장난같은데
"소유권과 빌리는 컨셉에서 레퍼런스와 스마트 포인터 사이에는 추가적인 차이점이 있다." 라는 표현이 존재한다.
소유자가 1개가 원칙이나 스마트 포인터를 통해 소유자가 1 이상일 수 도 있다로 확장이 되려나?
| Smart Pointers A pointer is a general concept for a variable that contains an address in memory. This address refers to, or “points at,” some other data. The most common kind of pointer in Rust is a reference, which you learned about in Chapter 4. References are indicated by the & symbol and borrow the value they point to. They don’t have any special capabilities other than referring to data, and have no overhead. Smart pointers, on the other hand, are data structures that act like a pointer but also have additional metadata and capabilities. The concept of smart pointers isn’t unique to Rust: smart pointers originated in C++ and exist in other languages as well. Rust has a variety of smart pointers defined in the standard library that provide functionality beyond that provided by references. To explore the general concept, we’ll look at a couple of different examples of smart pointers, including a reference counting smart pointer type. This pointer enables you to allow data to have multiple owners by keeping track of the number of owners and, when no owners remain, cleaning up the data. Rust, with its concept of ownership and borrowing, has an additional difference between references and smart pointers: while references only borrow data, in many cases, smart pointers own the data they point to. Though we didn’t call them as such at the time, we’ve already encountered a few smart pointers in this book, including String and Vec<T> in Chapter 8. Both these types count as smart pointers because they own some memory and allow you to manipulate it. They also have metadata and extra capabilities or guarantees. String, for example, stores its capacity as metadata and has the extra ability to ensure its data will always be valid UTF-8. |
[링크 : https://doc.rust-lang.org/book/ch15-00-smart-pointers.html]
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