Not a real question because I already found out the answer, but still interesting thing.
I always thought that hash table is the fastest associative container if you hash properly.
However, the following code is terribly slow. It executes only about 1 million iterations and takes more than 2 minutes of time on a Core 2 CPU.
The code does the following: it maintains the collection todo of items it needs to process. At each iteration it takes an item from this collection (doesn't matter which item), deletes it, processes it if it wasn't processed (possibly adding more items to process), and repeats this until there are no items to process.
The culprit seems to be the Dictionary.Keys.First() operation.
The question is why is it slow?
Stopwatch watch = new Stopwatch();
watch.Start();
HashSet<int> processed = new HashSet<int>();
Dictionary<int, int> todo = new Dictionary<int, int>();
todo.Add(1, 1);
int iterations = 0;
int limit = 500000;
while (todo.Count > 0)
{
iterations++;
var key = todo.Keys.First();
var value = todo[key];
todo.Remove(key);
if (!processed.Contains(key))
{
processed.Add(key);
// process item here
if (key < limit) { todo[key + 13] = value + 1; todo[key + 7] = value + 1; }
// doesn't matter much how
}
}
Console.WriteLine("Iterations: {0}; Time: {1}.", iterations, watch.Elapsed);
This results in:
Iterations: 923007; Time: 00:02:09.8414388.
Simply changing Dictionary to SortedDictionary yields:
Iterations: 499976; Time: 00:00:00.4451514.
300 times faster while having only 2 times less iterations.
The same happens in java.
Used HashMap instead of Dictionary and keySet().iterator().next() instead of Keys.First().
