C++ unordered_multiset β Store Unordered Duplicates with Fast Lookup
Introduction β Why Use std::unordered_multiset in C++
In some applications, you need a data structure that allows duplicate values and offers fast average-time lookup. Thatβs where std::unordered_multiset comes in. Unlike set, it allows multiple identical elements and uses a hash table for O(1) average complexity on insertions and lookups.
In this guide, youβll learn:
- What
std::unordered_multisetis and how it works - How to insert, count, and remove elements
- Comparisons with
set,multiset, andunordered_set - Best practices and real-world use cases
What Is a C++ Unordered Multiset?
A std::unordered_multiset is an unordered associative container that stores duplicate elements. It does not maintain order, and elements are grouped by hash values. All values are keys.
Include the header:
#include <unordered_set>
Declare an unordered multiset:
unordered_multiset<int> ums;
Code Examples β With Output
Insert and Traverse
#include <iostream>
#include <unordered_set>
using namespace std;
int main() {
unordered_multiset<int> ums;
ums.insert(10);
ums.insert(20);
ums.insert(10);
for (int x : ums) cout << x << " ";
return 0;
}
Output (order may vary):
10 10 20
Count and Erase
cout << "Count of 10: " << ums.count(10) << endl;
ums.erase(10); // Removes all instances of 10
unordered_multiset Member Functions
| Function | Description |
|---|---|
insert(val) | Adds a value (duplicates allowed) |
erase(val) | Removes all elements equal to val |
count(val) | Returns number of elements with value val |
find(val) | Returns iterator to one matching element |
equal_range() | Returns range of all matching elements |
size() | Returns number of elements |
clear() | Removes all elements |
begin()/end() | Iterators for traversal |
unordered_multiset vs Other Containers
| Feature | unordered_multiset | multiset | set | unordered_set |
|---|---|---|---|---|
| Allows duplicates | Yes | Yes | No | No |
| Maintains order | No | Yes | Yes | No |
| Average lookup time | O(1) | O(log n) | O(log n) | O(1) |
| Underlying structure | Hash table | Tree | Tree | Hash table |
Best Practices & Tips
Use count() before erasing to verify existence
Prefer unordered_multiset when duplicates are common and order doesn’t matter
Do not rely on element orderβitβs implementation-specific
Avoid using it when frequent range queries or sorted output are needed
Use Cases for Unordered Multisets
Frequency Tracking β Count repeated values efficiently
Fast Lookups β Duplicate data with average O(1) access
Histogram Generation β Multiple entries for the same key
Inventory Systems β Stackable items with identical types
Data Ingestion β Handle noisy input with duplicates
Summary β Recap & Next Steps
Key Takeaways:
std::unordered_multisetstores duplicate elements without maintaining order- Offers fast average-time operations using hash tables
- Suitable for large, unsorted collections with repeated values
Real-World Relevance:
Used in big data pipelines, histogram analyzers, search indexes, frequency maps, and load balancers where order isnβt important but duplicates and fast access are.
Next Steps:
Explore C++ Iterators to traverse and manipulate STL containers like unordered_multiset in a generic way.
FAQ β C++ unordered_multiset
Can unordered_multiset have duplicates?
Yes. It’s specifically designed to support them.
Is order guaranteed in unordered_multiset?
No. The order is non-deterministic and based on hash buckets.
Can I access elements by index?
No. Use iterators to traverse through elements.
What’s the difference between unordered_set and unordered_multiset?unordered_set stores only unique values; unordered_multiset allows duplicates.
Is it faster than multiset?
Yes, on average. But worst-case performance can be worse with hash collisions.
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