To write high-performance C# code, the core is to understand language features and make rational use of resources. 1. Use structures instead of classes when appropriate to reduce garbage collection pressure, suitable for objects with small data volumes and short life cycles. 2. Avoid frequent memory allocation, especially in loops. It is recommended to use StringBuilder, Span
The core of writing high-performance C# code is to understand language features, make rational use of resources, and avoid common performance traps. Here are some best practices worth following in actual development.

Use structure instead of class (when appropriate)
For objects with small data volumes and short life cycles, using struct
is more efficient than class
. Because the structure is a value type, it is allocated on the stack by default, which reduces the pressure of garbage collection.

- If the object does not need inheritance, does not contain complex logic, and has a large number of instances, the structure is preferred.
- Be careful not to make the structure too large, otherwise it will increase the copy overhead.
- Avoid frequent boxing and unboxing operations, especially when using structures in collections.
For example:
public struct Point { public int X; public int Y; }
This structure is more suitable for certain scenarios than classes, such as graphical calculations or large-scale point data processing.

Reduce unnecessary memory allocation
Frequent heap memory allocation will cause increased GC pressure and affect performance. Especially in methods of looping and high-frequency calls, temporary objects should be avoided as much as possible.
Some common practices include:
- Cache Object: Use
StringBuilder
instead of string stitching. - Use
Span<T>
andMemory<T>
to reduce heap allocation. - Preallocate capacity to the collection, such as
new List<int>(initialCapacity)
. - Avoid creating delegates or closures in loops.
For example:
var sb = new StringBuilder(); for (int i = 0; i < 100; i ) { sb.Append(i); } string result = sb.ToString(); // Only once allocated
This is much more efficient than generating new objects every time you splice strings.
Optimize I/O performance with asynchronous programming
C#'s async/await
is the key to improving program responsiveness and throughput. Especially when handling I/O operations such as network requests, file read and write, using asynchronous methods can significantly reduce thread blocking.
- Try to use
HttpClient
,FileStream
and other APIs that support asynchronously. - Avoid using
.Result
or.Wait()
, which may cause deadlocks or reduce concurrency capabilities. - Use
ConfigureAwait(false)
reasonably to prevent the additional overhead caused by context switching.
Example:
public async Task<string> DownloadPageAsync(string url) { using var client = new HttpClient(); return await client.GetStringAsync(url).ConfigureAwait(false); }
This allows remote requests to be completed without blocking the main thread.
Use inline functions and Span operations rationally
For performance-sensitive code paths, you can use MethodImpl(MethodImplOptions.AggressiveInlining)
to prompt the JIT compiler for inline optimization.
In addition, Span<T>
provides efficient access to memory, suitable for array slicing, buffer processing and other scenarios, avoiding unnecessary copying.
For example:
[MethodImpl(MethodImplOptions.AggressiveInlining)] private int Add(int a, int b) => ab;
This method will be inlined as much as possible, saving function call overhead.
Basically that's it. While each technique doesn't seem complicated, it can bring significant performance improvements in large-scale applications.
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