Storing Lists of Values with Vectors
The first collection type we’ll look at is Vec<T>
, also known as a vector.
Vectors allow you to store more than one value in a single data structure that
puts all the values next to each other in memory. Vectors can only store values
of the same type. They are useful when you have a list of items, such as the
lines of text in a file or the prices of items in a shopping cart.
Creating a New Vector
To create a new empty vector, we call the Vec::new
function, as shown in
Listing 8-1.
fn main() { let v: Vec<i32> = Vec::new(); }
Note that we added a type annotation here. Because we aren’t inserting any
values into this vector, Rust doesn’t know what kind of elements we intend to
store. This is an important point. Vectors are implemented using generics;
we’ll cover how to use generics with your own types in Chapter 10. For now,
know that the Vec<T>
type provided by the standard library can hold any type.
When we create a vector to hold a specific type, we can specify the type within
angle brackets. In Listing 8-1, we’ve told Rust that the Vec<T>
in v
will
hold elements of the i32
type.
More often, you’ll create a Vec<T>
with initial values and Rust will infer
the type of value you want to store, so you rarely need to do this type
annotation. Rust conveniently provides the vec!
macro, which will create a
new vector that holds the values you give it. Listing 8-2 creates a new
Vec<i32>
that holds the values 1
, 2
, and 3
. The integer type is i32
because that’s the default integer type, as we discussed in the “Data
Types” section of Chapter 3.
fn main() { let v = vec![1, 2, 3]; }
Because we’ve given initial i32
values, Rust can infer that the type of v
is Vec<i32>
, and the type annotation isn’t necessary. Next, we’ll look at how
to modify a vector.
Updating a Vector
To create a vector and then add elements to it, we can use the push
method,
as shown in Listing 8-3.
fn main() { let mut v = Vec::new(); v.push(5); v.push(6); v.push(7); v.push(8); }
As with any variable, if we want to be able to change its value, we need to
make it mutable using the mut
keyword, as discussed in Chapter 3. The numbers
we place inside are all of type i32
, and Rust infers this from the data, so
we don’t need the Vec<i32>
annotation.
Reading Elements of Vectors
There are two ways to reference a value stored in a vector: via indexing or
using the get
method. In the following examples, we’ve annotated the types of
the values that are returned from these functions for extra clarity.
Listing 8-4 shows both methods of accessing a value in a vector, with indexing
syntax and the get
method.
fn main() { let v = vec![1, 2, 3, 4, 5]; let third: &i32 = &v[2]; println!("The third element is {third}"); let third: Option<&i32> = v.get(2); match third { Some(third) => println!("The third element is {third}"), None => println!("There is no third element."), } }
Note a few details here. We use the index value of 2
to get the third element
because vectors are indexed by number, starting at zero. Using &
and []
gives us a reference to the element at the index value. When we use the get
method with the index passed as an argument, we get an Option<&T>
that we can
use with match
.
The reason Rust provides these two ways to reference an element is so you can choose how the program behaves when you try to use an index value outside the range of existing elements. As an example, let’s see what happens when we have a vector of five elements and then we try to access an element at index 100 with each technique, as shown in Listing 8-5.
fn main() { let v = vec![1, 2, 3, 4, 5]; let does_not_exist = &v[100]; let does_not_exist = v.get(100); }
When we run this code, the first []
method will cause the program to panic
because it references a nonexistent element. This method is best used when you
want your program to crash if there’s an attempt to access an element past the
end of the vector.
When the get
method is passed an index that is outside the vector, it returns
None
without panicking. You would use this method if accessing an element
beyond the range of the vector may happen occasionally under normal
circumstances. Your code will then have logic to handle having either
Some(&element)
or None
, as discussed in Chapter 6. For example, the index
could be coming from a person entering a number. If they accidentally enter a
number that’s too large and the program gets a None
value, you could tell the
user how many items are in the current vector and give them another chance to
enter a valid value. That would be more user-friendly than crashing the program
due to a typo!
When the program has a valid reference, the borrow checker enforces the ownership and borrowing rules (covered in Chapter 4) to ensure this reference and any other references to the contents of the vector remain valid. Recall the rule that states you can’t have mutable and immutable references in the same scope. That rule applies in Listing 8-6, where we hold an immutable reference to the first element in a vector and try to add an element to the end. This program won’t work if we also try to refer to that element later in the function:
fn main() {
let mut v = vec![1, 2, 3, 4, 5];
let first = &v[0];
v.push(6);
println!("The first element is: {first}");
}
Compiling this code will result in this error:
$ cargo run
Compiling collections v0.1.0 (file:///projects/collections)
error[E0502]: cannot borrow `v` as mutable because it is also borrowed as immutable
--> src/main.rs:6:5
|
4 | let first = &v[0];
| - immutable borrow occurs here
5 |
6 | v.push(6);
| ^^^^^^^^^ mutable borrow occurs here
7 |
8 | println!("The first element is: {}", first);
| ----- immutable borrow later used here
For more information about this error, try `rustc --explain E0502`.
error: could not compile `collections` due to previous error
The code in Listing 8-6 might look like it should work: why should a reference to the first element care about changes at the end of the vector? This error is due to the way vectors work: because vectors put the values next to each other in memory, adding a new element onto the end of the vector might require allocating new memory and copying the old elements to the new space, if there isn’t enough room to put all the elements next to each other where the vector is currently stored. In that case, the reference to the first element would be pointing to deallocated memory. The borrowing rules prevent programs from ending up in that situation.
Note: For more on the implementation details of the
Vec<T>
type, see “The Rustonomicon”.
Iterating over the Values in a Vector
To access each element in a vector in turn, we would iterate through all of the
elements rather than use indices to access one at a time. Listing 8-7 shows how
to use a for
loop to get immutable references to each element in a vector of
i32
values and print them.
fn main() { let v = vec![100, 32, 57]; for i in &v { println!("{i}"); } }
We can also iterate over mutable references to each element in a mutable vector
in order to make changes to all the elements. The for
loop in Listing 8-8
will add 50
to each element.
fn main() { let mut v = vec![100, 32, 57]; for i in &mut v { *i += 50; } }
To change the value that the mutable reference refers to, we have to use the
*
dereference operator to get to the value in i
before we can use the +=
operator. We’ll talk more about the dereference operator in the “Following the
Pointer to the Value with the Dereference Operator”
section of Chapter 15.
Iterating over a vector, whether immutably or mutably, is safe because of the
borrow checker's rules. If we attempted to insert or remove items in the for
loop bodies in Listing 8-7 and Listing 8-8, we would get a compiler error
similar to the one we got with the code in Listing 8-6. The reference to the
vector that the for
loop holds prevents simultaneous modification of the
whole vector.
Using an Enum to Store Multiple Types
Vectors can only store values that are the same type. This can be inconvenient; there are definitely use cases for needing to store a list of items of different types. Fortunately, the variants of an enum are defined under the same enum type, so when we need one type to represent elements of different types, we can define and use an enum!
For example, say we want to get values from a row in a spreadsheet in which some of the columns in the row contain integers, some floating-point numbers, and some strings. We can define an enum whose variants will hold the different value types, and all the enum variants will be considered the same type: that of the enum. Then we can create a vector to hold that enum and so, ultimately, holds different types. We’ve demonstrated this in Listing 8-9.
fn main() { enum SpreadsheetCell { Int(i32), Float(f64), Text(String), } let row = vec![ SpreadsheetCell::Int(3), SpreadsheetCell::Text(String::from("blue")), SpreadsheetCell::Float(10.12), ]; }
Rust needs to know what types will be in the vector at compile time so it knows
exactly how much memory on the heap will be needed to store each element. We
must also be explicit about what types are allowed in this vector. If Rust
allowed a vector to hold any type, there would be a chance that one or more of
the types would cause errors with the operations performed on the elements of
the vector. Using an enum plus a match
expression means that Rust will ensure
at compile time that every possible case is handled, as discussed in Chapter 6.
If you don’t know the exhaustive set of types a program will get at runtime to store in a vector, the enum technique won’t work. Instead, you can use a trait object, which we’ll cover in Chapter 17.
Now that we’ve discussed some of the most common ways to use vectors, be sure
to review the API documentation for all the many
useful methods defined on Vec<T>
by the standard library. For example, in
addition to push
, a pop
method removes and returns the last element.
Dropping a Vector Drops Its Elements
Like any other struct
, a vector is freed when it goes out of scope, as
annotated in Listing 8-10.
fn main() { { let v = vec![1, 2, 3, 4]; // do stuff with v } // <- v goes out of scope and is freed here }
When the vector gets dropped, all of its contents are also dropped, meaning the integers it holds will be cleaned up. The borrow checker ensures that any references to contents of a vector are only used while the vector itself is valid.
Let’s move on to the next collection type: String
!