1.0.0[−][src]Struct std::collections::btree_map::BTreeMap
A map based on a B-Tree.
B-Trees represent a fundamental compromise between cache-efficiency and actually minimizing the amount of work performed in a search. In theory, a binary search tree (BST) is the optimal choice for a sorted map, as a perfectly balanced BST performs the theoretical minimum amount of comparisons necessary to find an element (log2n). However, in practice the way this is done is very inefficient for modern computer architectures. In particular, every element is stored in its own individually heap-allocated node. This means that every single insertion triggers a heap-allocation, and every single comparison should be a cache-miss. Since these are both notably expensive things to do in practice, we are forced to at very least reconsider the BST strategy.
A B-Tree instead makes each node contain B-1 to 2B-1 elements in a contiguous array. By doing this, we reduce the number of allocations by a factor of B, and improve cache efficiency in searches. However, this does mean that searches will have to do more comparisons on average. The precise number of comparisons depends on the node search strategy used. For optimal cache efficiency, one could search the nodes linearly. For optimal comparisons, one could search the node using binary search. As a compromise, one could also perform a linear search that initially only checks every ith element for some choice of i.
Currently, our implementation simply performs naive linear search. This provides excellent performance on small nodes of elements which are cheap to compare. However in the future we would like to further explore choosing the optimal search strategy based on the choice of B, and possibly other factors. Using linear search, searching for a random element is expected to take O(B logBn) comparisons, which is generally worse than a BST. In practice, however, performance is excellent.
It is a logic error for a key to be modified in such a way that the key's ordering relative to
any other key, as determined by the Ord
trait, changes while it is in the map. This is
normally only possible through Cell
, RefCell
, global state, I/O, or unsafe code.
Examples
use std::collections::BTreeMap; // type inference lets us omit an explicit type signature (which // would be `BTreeMap<&str, &str>` in this example). let mut movie_reviews = BTreeMap::new(); // review some movies. movie_reviews.insert("Office Space", "Deals with real issues in the workplace."); movie_reviews.insert("Pulp Fiction", "Masterpiece."); movie_reviews.insert("The Godfather", "Very enjoyable."); movie_reviews.insert("The Blues Brothers", "Eye lyked it a lot."); // check for a specific one. if !movie_reviews.contains_key("Les Misérables") { println!("We've got {} reviews, but Les Misérables ain't one.", movie_reviews.len()); } // oops, this review has a lot of spelling mistakes, let's delete it. movie_reviews.remove("The Blues Brothers"); // look up the values associated with some keys. let to_find = ["Up!", "Office Space"]; for movie in &to_find { match movie_reviews.get(movie) { Some(review) => println!("{}: {}", movie, review), None => println!("{} is unreviewed.", movie) } } // Look up the value for a key (will panic if the key is not found). println!("Movie review: {}", movie_reviews["Office Space"]); // iterate over everything. for (movie, review) in &movie_reviews { println!("{}: \"{}\"", movie, review); }Run
BTreeMap
also implements an Entry API
, which allows
for more complex methods of getting, setting, updating and removing keys and
their values:
use std::collections::BTreeMap; // type inference lets us omit an explicit type signature (which // would be `BTreeMap<&str, u8>` in this example). let mut player_stats = BTreeMap::new(); fn random_stat_buff() -> u8 { // could actually return some random value here - let's just return // some fixed value for now 42 } // insert a key only if it doesn't already exist player_stats.entry("health").or_insert(100); // insert a key using a function that provides a new value only if it // doesn't already exist player_stats.entry("defence").or_insert_with(random_stat_buff); // update a key, guarding against the key possibly not being set let stat = player_stats.entry("attack").or_insert(100); *stat += random_stat_buff();Run
Methods
impl<K, V> BTreeMap<K, V> where
K: Ord,
[src]
K: Ord,
pub fn new() -> BTreeMap<K, V>
[src]
Makes a new empty BTreeMap with a reasonable choice for B.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); // entries can now be inserted into the empty map map.insert(1, "a");Run
pub fn clear(&mut self)
[src]
Clears the map, removing all values.
Examples
Basic usage:
use std::collections::BTreeMap; let mut a = BTreeMap::new(); a.insert(1, "a"); a.clear(); assert!(a.is_empty());Run
pub fn get<Q>(&self, key: &Q) -> Option<&V> where
K: Borrow<Q>,
Q: Ord + ?Sized,
[src]
K: Borrow<Q>,
Q: Ord + ?Sized,
Returns a reference to the value corresponding to the key.
The key may be any borrowed form of the map's key type, but the ordering on the borrowed form must match the ordering on the key type.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); map.insert(1, "a"); assert_eq!(map.get(&1), Some(&"a")); assert_eq!(map.get(&2), None);Run
pub fn get_key_value<Q>(&self, k: &Q) -> Option<(&K, &V)> where
K: Borrow<Q>,
Q: Ord + ?Sized,
[src]
K: Borrow<Q>,
Q: Ord + ?Sized,
Returns the key-value pair corresponding to the supplied key.
The supplied key may be any borrowed form of the map's key type, but the ordering on the borrowed form must match the ordering on the key type.
Examples
#![feature(map_get_key_value)] use std::collections::BTreeMap; let mut map = BTreeMap::new(); map.insert(1, "a"); assert_eq!(map.get_key_value(&1), Some((&1, &"a"))); assert_eq!(map.get_key_value(&2), None);Run
pub fn contains_key<Q>(&self, key: &Q) -> bool where
K: Borrow<Q>,
Q: Ord + ?Sized,
[src]
K: Borrow<Q>,
Q: Ord + ?Sized,
Returns true
if the map contains a value for the specified key.
The key may be any borrowed form of the map's key type, but the ordering on the borrowed form must match the ordering on the key type.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); map.insert(1, "a"); assert_eq!(map.contains_key(&1), true); assert_eq!(map.contains_key(&2), false);Run
pub fn get_mut<Q>(&mut self, key: &Q) -> Option<&mut V> where
K: Borrow<Q>,
Q: Ord + ?Sized,
[src]
K: Borrow<Q>,
Q: Ord + ?Sized,
Returns a mutable reference to the value corresponding to the key.
The key may be any borrowed form of the map's key type, but the ordering on the borrowed form must match the ordering on the key type.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); map.insert(1, "a"); if let Some(x) = map.get_mut(&1) { *x = "b"; } assert_eq!(map[&1], "b");Run
pub fn insert(&mut self, key: K, value: V) -> Option<V>
[src]
Inserts a key-value pair into the map.
If the map did not have this key present, None
is returned.
If the map did have this key present, the value is updated, and the old
value is returned. The key is not updated, though; this matters for
types that can be ==
without being identical. See the module-level
documentation for more.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); assert_eq!(map.insert(37, "a"), None); assert_eq!(map.is_empty(), false); map.insert(37, "b"); assert_eq!(map.insert(37, "c"), Some("b")); assert_eq!(map[&37], "c");Run
pub fn remove<Q>(&mut self, key: &Q) -> Option<V> where
K: Borrow<Q>,
Q: Ord + ?Sized,
[src]
K: Borrow<Q>,
Q: Ord + ?Sized,
Removes a key from the map, returning the value at the key if the key was previously in the map.
The key may be any borrowed form of the map's key type, but the ordering on the borrowed form must match the ordering on the key type.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); map.insert(1, "a"); assert_eq!(map.remove(&1), Some("a")); assert_eq!(map.remove(&1), None);Run
pub fn append(&mut self, other: &mut BTreeMap<K, V>)
1.11.0[src]
Moves all elements from other
into Self
, leaving other
empty.
Examples
use std::collections::BTreeMap; let mut a = BTreeMap::new(); a.insert(1, "a"); a.insert(2, "b"); a.insert(3, "c"); let mut b = BTreeMap::new(); b.insert(3, "d"); b.insert(4, "e"); b.insert(5, "f"); a.append(&mut b); assert_eq!(a.len(), 5); assert_eq!(b.len(), 0); assert_eq!(a[&1], "a"); assert_eq!(a[&2], "b"); assert_eq!(a[&3], "d"); assert_eq!(a[&4], "e"); assert_eq!(a[&5], "f");Run
ⓘImportant traits for Range<'a, K, V>pub fn range<T, R>(&self, range: R) -> Range<K, V> where
K: Borrow<T>,
R: RangeBounds<T>,
T: Ord + ?Sized,
1.17.0[src]
K: Borrow<T>,
R: RangeBounds<T>,
T: Ord + ?Sized,
Constructs a double-ended iterator over a sub-range of elements in the map.
The simplest way is to use the range syntax min..max
, thus range(min..max)
will
yield elements from min (inclusive) to max (exclusive).
The range may also be entered as (Bound<T>, Bound<T>)
, so for example
range((Excluded(4), Included(10)))
will yield a left-exclusive, right-inclusive
range from 4 to 10.
Panics
Panics if range start > end
.
Panics if range start == end
and both bounds are Excluded
.
Examples
Basic usage:
use std::collections::BTreeMap; use std::ops::Bound::Included; let mut map = BTreeMap::new(); map.insert(3, "a"); map.insert(5, "b"); map.insert(8, "c"); for (&key, &value) in map.range((Included(&4), Included(&8))) { println!("{}: {}", key, value); } assert_eq!(Some((&5, &"b")), map.range(4..).next());Run
ⓘImportant traits for RangeMut<'a, K, V>pub fn range_mut<T, R>(&mut self, range: R) -> RangeMut<K, V> where
K: Borrow<T>,
R: RangeBounds<T>,
T: Ord + ?Sized,
1.17.0[src]
K: Borrow<T>,
R: RangeBounds<T>,
T: Ord + ?Sized,
Constructs a mutable double-ended iterator over a sub-range of elements in the map.
The simplest way is to use the range syntax min..max
, thus range(min..max)
will
yield elements from min (inclusive) to max (exclusive).
The range may also be entered as (Bound<T>, Bound<T>)
, so for example
range((Excluded(4), Included(10)))
will yield a left-exclusive, right-inclusive
range from 4 to 10.
Panics
Panics if range start > end
.
Panics if range start == end
and both bounds are Excluded
.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map: BTreeMap<&str, i32> = ["Alice", "Bob", "Carol", "Cheryl"] .iter() .map(|&s| (s, 0)) .collect(); for (_, balance) in map.range_mut("B".."Cheryl") { *balance += 100; } for (name, balance) in &map { println!("{} => {}", name, balance); }Run
pub fn entry(&mut self, key: K) -> Entry<K, V>
[src]
Gets the given key's corresponding entry in the map for in-place manipulation.
Examples
Basic usage:
use std::collections::BTreeMap; let mut count: BTreeMap<&str, usize> = BTreeMap::new(); // count the number of occurrences of letters in the vec for x in vec!["a","b","a","c","a","b"] { *count.entry(x).or_insert(0) += 1; } assert_eq!(count["a"], 3);Run
pub fn split_off<Q>(&mut self, key: &Q) -> BTreeMap<K, V> where
K: Borrow<Q>,
Q: Ord + ?Sized,
1.11.0[src]
K: Borrow<Q>,
Q: Ord + ?Sized,
Splits the collection into two at the given key. Returns everything after the given key, including the key.
Examples
Basic usage:
use std::collections::BTreeMap; let mut a = BTreeMap::new(); a.insert(1, "a"); a.insert(2, "b"); a.insert(3, "c"); a.insert(17, "d"); a.insert(41, "e"); let b = a.split_off(&3); assert_eq!(a.len(), 2); assert_eq!(b.len(), 3); assert_eq!(a[&1], "a"); assert_eq!(a[&2], "b"); assert_eq!(b[&3], "c"); assert_eq!(b[&17], "d"); assert_eq!(b[&41], "e");Run
impl<K, V> BTreeMap<K, V>
[src]
ⓘImportant traits for Iter<'a, K, V>pub fn iter(&self) -> Iter<K, V>
[src]
Gets an iterator over the entries of the map, sorted by key.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); map.insert(3, "c"); map.insert(2, "b"); map.insert(1, "a"); for (key, value) in map.iter() { println!("{}: {}", key, value); } let (first_key, first_value) = map.iter().next().unwrap(); assert_eq!((*first_key, *first_value), (1, "a"));Run
ⓘImportant traits for IterMut<'a, K, V>pub fn iter_mut(&mut self) -> IterMut<K, V>
[src]
Gets a mutable iterator over the entries of the map, sorted by key.
Examples
Basic usage:
use std::collections::BTreeMap; let mut map = BTreeMap::new(); map.insert("a", 1); map.insert("b", 2); map.insert("c", 3); // add 10 to the value if the key isn't "a" for (key, value) in map.iter_mut() { if key != &"a" { *value += 10; } }Run
ⓘImportant traits for Keys<'a, K, V>pub fn keys(&self) -> Keys<K, V>
[src]
Gets an iterator over the keys of the map, in sorted order.
Examples
Basic usage:
use std::collections::BTreeMap; let mut a = BTreeMap::new(); a.insert(2, "b"); a.insert(1, "a"); let keys: Vec<_> = a.keys().cloned().collect(); assert_eq!(keys, [1, 2]);Run
ⓘImportant traits for Values<'a, K, V>pub fn values(&self) -> Values<K, V>
[src]
Gets an iterator over the values of the map, in order by key.
Examples
Basic usage:
use std::collections::BTreeMap; let mut a = BTreeMap::new(); a.insert(1, "hello"); a.insert(2, "goodbye"); let values: Vec<&str> = a.values().cloned().collect(); assert_eq!(values, ["hello", "goodbye"]);Run
ⓘImportant traits for ValuesMut<'a, K, V>pub fn values_mut(&mut self) -> ValuesMut<K, V>
1.10.0[src]
Gets a mutable iterator over the values of the map, in order by key.
Examples
Basic usage:
use std::collections::BTreeMap; let mut a = BTreeMap::new(); a.insert(1, String::from("hello")); a.insert(2, String::from("goodbye")); for value in a.values_mut() { value.push_str("!"); } let values: Vec<String> = a.values().cloned().collect(); assert_eq!(values, [String::from("hello!"), String::from("goodbye!")]);Run
pub fn len(&self) -> usize
[src]
Returns the number of elements in the map.
Examples
Basic usage:
use std::collections::BTreeMap; let mut a = BTreeMap::new(); assert_eq!(a.len(), 0); a.insert(1, "a"); assert_eq!(a.len(), 1);Run
pub fn is_empty(&self) -> bool
[src]
Trait Implementations
impl<K, V> Debug for BTreeMap<K, V> where
K: Debug,
V: Debug,
[src]
K: Debug,
V: Debug,
impl<K, V> Eq for BTreeMap<K, V> where
K: Eq,
V: Eq,
[src]
K: Eq,
V: Eq,
impl<K, V> Default for BTreeMap<K, V> where
K: Ord,
[src]
K: Ord,
impl<K, V> PartialEq<BTreeMap<K, V>> for BTreeMap<K, V> where
K: PartialEq<K>,
V: PartialEq<V>,
[src]
K: PartialEq<K>,
V: PartialEq<V>,
impl<'a, K, V> Extend<(&'a K, &'a V)> for BTreeMap<K, V> where
K: Copy + Ord,
V: Copy,
1.2.0[src]
K: Copy + Ord,
V: Copy,
impl<K, V> Extend<(K, V)> for BTreeMap<K, V> where
K: Ord,
[src]
K: Ord,
fn extend<T>(&mut self, iter: T) where
T: IntoIterator<Item = (K, V)>,
[src]
T: IntoIterator<Item = (K, V)>,
impl<K, V> FromIterator<(K, V)> for BTreeMap<K, V> where
K: Ord,
[src]
K: Ord,
impl<K, V> Clone for BTreeMap<K, V> where
K: Clone,
V: Clone,
[src]
K: Clone,
V: Clone,
impl<'_, K, Q, V> Index<&'_ Q> for BTreeMap<K, V> where
K: Ord + Borrow<Q>,
Q: Ord + ?Sized,
[src]
K: Ord + Borrow<Q>,
Q: Ord + ?Sized,
type Output = V
The returned type after indexing.
ⓘImportant traits for &'_ mut Ffn index(&self, key: &Q) -> &V
[src]
Returns a reference to the value corresponding to the supplied key.
Panics
Panics if the key is not present in the BTreeMap
.
impl<K, V> Ord for BTreeMap<K, V> where
K: Ord,
V: Ord,
[src]
K: Ord,
V: Ord,
fn cmp(&self, other: &BTreeMap<K, V>) -> Ordering
[src]
fn max(self, other: Self) -> Self
1.21.0[src]
fn min(self, other: Self) -> Self
1.21.0[src]
fn clamp(self, min: Self, max: Self) -> Self
[src]
impl<K, V> Drop for BTreeMap<K, V>
1.7.0[src]
impl<'a, K, V> IntoIterator for &'a BTreeMap<K, V> where
K: 'a,
V: 'a,
[src]
K: 'a,
V: 'a,
type Item = (&'a K, &'a V)
The type of the elements being iterated over.
type IntoIter = Iter<'a, K, V>
Which kind of iterator are we turning this into?
ⓘImportant traits for Iter<'a, K, V>fn into_iter(self) -> Iter<'a, K, V>
[src]
impl<'a, K, V> IntoIterator for &'a mut BTreeMap<K, V> where
K: 'a,
V: 'a,
[src]
K: 'a,
V: 'a,
type Item = (&'a K, &'a mut V)
The type of the elements being iterated over.
type IntoIter = IterMut<'a, K, V>
Which kind of iterator are we turning this into?
ⓘImportant traits for IterMut<'a, K, V>fn into_iter(self) -> IterMut<'a, K, V>
[src]
impl<K, V> IntoIterator for BTreeMap<K, V>
[src]
type Item = (K, V)
The type of the elements being iterated over.
type IntoIter = IntoIter<K, V>
Which kind of iterator are we turning this into?
ⓘImportant traits for IntoIter<K, V>fn into_iter(self) -> IntoIter<K, V>
[src]
impl<K, V> PartialOrd<BTreeMap<K, V>> for BTreeMap<K, V> where
K: PartialOrd<K>,
V: PartialOrd<V>,
[src]
K: PartialOrd<K>,
V: PartialOrd<V>,
fn partial_cmp(&self, other: &BTreeMap<K, V>) -> Option<Ordering>
[src]
#[must_use]
fn lt(&self, other: &Rhs) -> bool
[src]
#[must_use]
fn le(&self, other: &Rhs) -> bool
[src]
#[must_use]
fn gt(&self, other: &Rhs) -> bool
[src]
#[must_use]
fn ge(&self, other: &Rhs) -> bool
[src]
impl<K, V> Hash for BTreeMap<K, V> where
K: Hash,
V: Hash,
[src]
K: Hash,
V: Hash,
Auto Trait Implementations
impl<K, V> UnwindSafe for BTreeMap<K, V> where
K: RefUnwindSafe + UnwindSafe,
V: RefUnwindSafe + UnwindSafe,
K: RefUnwindSafe + UnwindSafe,
V: RefUnwindSafe + UnwindSafe,
impl<K, V> RefUnwindSafe for BTreeMap<K, V> where
K: RefUnwindSafe,
V: RefUnwindSafe,
K: RefUnwindSafe,
V: RefUnwindSafe,
impl<K, V> Unpin for BTreeMap<K, V> where
K: Unpin,
V: Unpin,
K: Unpin,
V: Unpin,
impl<K, V> Send for BTreeMap<K, V> where
K: Send,
V: Send,
K: Send,
V: Send,
impl<K, V> Sync for BTreeMap<K, V> where
K: Sync,
V: Sync,
K: Sync,
V: Sync,
Blanket Implementations
impl<T> From<T> for T
[src]
impl<T, U> TryFrom<U> for T where
U: Into<T>,
[src]
U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
[src]
impl<T, U> Into<U> for T where
U: From<T>,
[src]
U: From<T>,
impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
[src]
U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
[src]
impl<I> IntoIterator for I where
I: Iterator,
[src]
I: Iterator,
type Item = <I as Iterator>::Item
The type of the elements being iterated over.
type IntoIter = I
Which kind of iterator are we turning this into?
fn into_iter(self) -> I
[src]
impl<T> Borrow<T> for T where
T: ?Sized,
[src]
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]
T: ?Sized,
ⓘImportant traits for &'_ mut Ffn borrow_mut(&mut self) -> &mut T
[src]
impl<T> Any for T where
T: 'static + ?Sized,
[src]
T: 'static + ?Sized,
impl<T> ToOwned for T where
T: Clone,
[src]
T: Clone,