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 Java DSA
implementation can be compared directly with the rest of the DSA track.
Basic Implementation
Basic.java
import java.util.*;
public class Basic {
public static void main(String[] args) {
String[] keys = {"a", "b", "a", "c", "b"};
int[] values = {1, 2, 3, 4, 5};
Map<String, List<Integer>> groups = new LinkedHashMap<>();
for (int i = 0; i < keys.length; i++) {
groups.computeIfAbsent(keys[i], key -> new ArrayList<>()).add(values[i]);
}
List<String> parts = new ArrayList<>();
for (Map.Entry<String, List<Integer>> entry : groups.entrySet()) {
parts.add(entry.getKey() + ": " + entry.getValue());
}
System.out.println("{" + String.join(", ", parts) + "}");
}
}
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.