Runtime cost of dynamic type resolution in C Sharp (C#) - Time & Space Complexity
When a program uses dynamic types, it decides the exact type while running, not before. This can affect how long the program takes to run.
We want to know how this decision-making time grows as the program runs more dynamic operations.
Analyze the time complexity of the following code snippet.
dynamic value = GetDynamicValue();
for (int i = 0; i < n; i++)
{
// Each call resolves the method at runtime
var result = value.Compute(i);
}
This code calls a method on a dynamic object inside a loop, resolving the method type each time.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: Calling a method on a dynamic object, which requires runtime type resolution.
- How many times: This happens once per loop iteration, so
ntimes.
Each loop iteration does a runtime check to find the right method to call. As n grows, these checks add up linearly.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | About 10 dynamic resolutions |
| 100 | About 100 dynamic resolutions |
| 1000 | About 1000 dynamic resolutions |
Pattern observation: The total work grows directly with the number of loop runs.
Time Complexity: O(n)
This means the time to run grows in a straight line as the number of dynamic calls increases.
[X] Wrong: "Dynamic calls are free or constant time like normal calls."
[OK] Correct: Each dynamic call needs extra work to find the right method at runtime, so it costs more than a normal call and adds up with more calls.
Understanding how dynamic typing affects runtime helps you write clearer, more efficient code and shows you can think about how programs behave under the hood.
What if the dynamic object's type was cached after the first call? How would that change the time complexity?