Boost Your C# App Performance: 7 Tips You Can’t Ignore
In today’s software development landscape, performance plays a pivotal role in delivering efficient and scalable applications. Writing optimized C# code ensures that your applications can handle increasing workloads while maintaining responsiveness.
This article explores practical tips and techniques to improve the performance of C# code, from comparing the statistics of each methods to decide which one is the best. By applying these strategies, developers can build applications that are not only robust but also lightning-fast.
Keywords to understand
In order to compare the performance, we would be comparing the following statistics.
String vs Char
When using IndexOf, StartsWith, EndsWith with single character always prefer character overload instead of string overload.
Performance Output
Explanation of the Results:
EndsWithStringValue (String version):
EndsWithCharValue (Char version):
Result:
String Concatenation vs String Builder
Avoid concatenating strings in loops. Strings are immutable which means that once a string object is created it cannot be modified.
What happens when we concatenate strings in loops?
When we concatenate the string strings using ‘+’ operator in a loop, at each iteration a new string object is created resulting performance issues.
It can be a dreading result when dealing with large strings or a large number of iterations.
Performance Output
Result:
Using StringBuilder is generally more efficient for repeated concatenation operations due to reduced overhead in memory allocation and copying.
Skip and Take vs Take with Range syntax
In traditional Skip(n).Take(n) [where n is an integer specifying the count] the Skip() skips the first n elements of a sequence and then the Take() returns the first n elements of a sequence.
In C# 8, instead of Skip(n).Take(n) you can simply write Take() to return a specified range of elements from a sequence defined.
Performance Output
Result:
Definitely Take(n..x) performs better than Skip(n).Take(n) because it can be implemented in a single pass over the collection whereas Skip requires iterating over the elements that need to be skipped. Using Skip can be costly for large collections.
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ToLower / ToUpper vs string.Equals
Case conversion is often required in C# to normalize the comparison of string inputs. We might want to ignore the case differences for example, “John Wick” and “JOHN WICK” should be considered equal — in such scenarios, the ToLower() or ToUpper() can be used.
There is something else, known as string.Equals. This is a direct call and performs a case-insensitive comparison by default.
Performance Output
Look at the difference! The ToLower() converts both the strings to lower case before comparison. The string.Equals() accepts two params as the main ones to compare the string.
Result:
Clearly string.Equals performs well compared to ToLower(). It is more efficient because it avoids creating new string instances for comparison.
Using ‘ToString()’ vs ‘nameof’ for Enum to String conversion
We’ve been into situations often where we have to convert an Enum value to string because Enum returns an integer value.
We can convert an Enum to a string two ways. First one is .ToString() and the other is nameof
Performance output
Result:
The nameof stands out much better in performance to convert an enum to a string. This is because this method is evaluated at a compile-time. It injects a string literal that never changes. This is much useful to avoid magic strings in your code.
One disadvantage to highlight is that using the nameof() with enums can lead to mismatched enum member names if the enum changes without recompiling referencing projects because as we have discussed above, nameof provides names at compile-time.
Exists() vs Any()
Array types and List<T> has Exists() method. This method checks whether an element that satisfies the condition exists in the list or array.
On the other hand, the Any() works with IEnumerable<T> including arrays, lists and other collection types. It checks whether any element in the IEnumerable<T> satisfies the condition.
Performance Output:
Result:
Use Exists() over Any() because Exists() doesn’t require the overhead of creating an enumerator that Any()` does.
Contains() vs Any()
C# provides Contains() for checking of a specific item in a collection.
Any() works with IEnumerable<T> including arrays, lists and other collection types. This is more general method that checks if any element in the collection satisfies a provided collection.
Performance output
Result:
Use Contains()` over Any()` because Contains() directly checks for the equality of each elements to the specified value.
Conclusion
So, as a wrap up, I just want to say optimizing your C# application’s performance isn’t just about writing code faster; it’s about writing it smarter. By implementing these tips, you’re well on your way to creating applications that not only run efficiently but also scale effectively.
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