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Performance impact of C# dynamic variables
Dynamic variables in C# can impact performance, raising concerns about the extent of recompilation they trigger and its performance impact.
Compiler behavior for dynamic variables
To be clear, the compiler will not recompile the entire method containing dynamic variables. Instead, the compiler generates a dynamic call site object for each dynamic expression encountered in the code.
Dynamic call site object
These dynamic call site objects contain information about the operation being performed. For example, if we have the expression d1.Foo(), the compiler creates a dynamic call site object that represents a call to the Foo method on the object referenced by d1.
Dynamic Language Runtime (DLR)
When executing a dynamic expression, the DLR asks if the object involved has any special capabilities, such as if it is a COM object or an Iron Python object. If not, the DLR treats it as a normal C# object.
C# compiler call
For ordinary C# objects, the DLR uses a lightweight version of the C# compiler to analyze the object's type and the method being called. The compiler builds an expression tree representing the operation and passes it back to the DLR.
Caching and IL generation
The DLR caches expression trees to perform the same operation on objects of the same type in the future. If a cache hit occurs, the DLR compiles the cached expression tree into IL and calls the generated delegate directly, bypassing compiler analysis.
Performance impact
This process introduces overhead for every dynamic expression encountered. The overhead is most noticeable when dynamic operations are performed frequently, especially when dealing with objects of different types.
Benchmark results
The sample code provided in the question illustrates the significant performance hit caused by dynamic variables. Using dynamic variables in a simple for loop may slow down execution by two orders of magnitude compared to using int variables.
Conclusion
While dynamic variables provide flexibility, it is important to be aware of their performance implications. For scenarios where code performance is critical, it is recommended to avoid excessive use of dynamic variables or to consider using statically typed alternatives.
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