Hash Tables
Group by Key
Build buckets keyed by a shared field, preserving the first-seen key order.
Algorithm
Canonical pairs (a,1), (b,2), (a,3), (c,4), (b,5) print
{a: [1, 3], b: [2, 5], c: [4]}.
The replay uses the same input in every language, so this Rust DSA
implementation can be compared directly with the rest of the DSA track.
Basic Implementation
basic.rs
use std::collections::HashMap;
fn main() {
let pairs = [("a", 1), ("b", 2), ("a", 3), ("c", 4), ("b", 5)];
let mut groups: HashMap<&str, Vec<i32>> = HashMap::new();
let mut order: Vec<&str> = Vec::new();
for (key, value) in pairs {
if !groups.contains_key(key) {
order.push(key);
}
groups.entry(key).or_insert_with(Vec::new).push(value);
}
let parts: Vec<String> = order.iter()
.map(|key| {
let values = &groups[key];
let rendered = values.iter().map(|v| v.to_string()).collect::<Vec<_>>().join(", ");
format!("{}: [{}]", key, rendered)
})
.collect();
println!("{{{}}}", parts.join(", "));
}
Complexity
- Time: O(n) average
- Space: O(k + n) for buckets and values
Implementation notes
- Keep output formatting deterministic. Do not rely on unordered hash-map printing when the lesson needs cross-language comparison.
- The trace highlights the hash table state after each write.
bucket map
Each key owns a list. A new key creates a bucket; a repeated key appends to the existing bucket.