Microsoft .NET Code Analysis: Best Practices and Performance for Comparing Strings

String comparisons in .NET are essential for various operations like authentication and sorting, but they must be used correctly to avoid performance issues or bugs. The article outlines the proper use of Equals() for equality checks and Compare() for ordering. It emphasizes measuring performance before assuming Span-based methods are faster, highlighting the importance of intent in choosing string comparison APIs.

Comparing Type Checking Methods in .NET: Performance vs. Readability

In .NET, type checking methods include GetType(), the is keyword, IsAssignableFrom(), and the as keyword. Each method varies in readability and performance.

Microsoft .NET Code Analysis: Improve .NET Performance by Reusing Constant Arrays

In optimizing the Spargine project, I improved performance by avoiding constant arrays as method arguments. Instead, using static readonly fields reduced memory allocations significantly. This change enhanced execution speed, yielding a 1.34x performance gain. I recommend enabling CA1856 warnings in .editorconfig to maintain performance-focused coding practices.

Microsoft .NET Code Analysis: Boosting Performance with [ConstantExpected] Attribute for Methods

The [ConstantExpected] attribute in .NET enhances code performance by signaling that methods should receive compile-time constants as arguments. While not enforcing this at runtime, it improves coding practices and efficiency. In the Spargine project, it clarified intent and identified issues early, particularly with .NET 10's performance improvements across parameter types.

Microsoft .NET Code Analysis: Optimizing Collection Examination

This content discusses four methods for evaluating items in a collection using predicates or filters, mainly focusing on the LINQ Any() method. It highlights the performance of Count() as superior to Any(), LongCount(), and Exists() under specific conditions, especially in asynchronous operations where CountAsync() is the fastest.

Unlock Performance Gains in .NET: Evaluating the ‘in’ Modifier for Method Parameters

The in modifier, introduced in C# 9.0, allows passing read-only references to method parameters, promoting immutability. While it clarifies intent it can also enhance performance.

Microsoft .NET Code Analysis: Boosting  Performance with Span and Memory

The excerpt discusses the .NET MemoryExtensions class, which optimizes performance in byte array manipulation by offering allocation-free methods for converting to Memory, ReadOnlyMemory, Span, and ReadOnlySpan.

Microsoft .NET Code Analysis: When CountAsync() Outperforms AnyAsync() in .NET

The article critiques code analysis rule CA1828 in Microsoft .NET, which suggests using AnyAsync() over CountAsync() for checking item existence in IQueryable collections. Benchmark results indicate CountAsync() outperforms both AnyAsync() and LongCountAsync(), pointing to potential inefficiencies in following CA1828. The author recommends adjusting rule severity to optimize performance.

Unlock Performance Gains in .NET: The Power of Custom Comparers

This article highlights the importance of custom comparers in .NET for enhancing application performance when sorting and ordering collections. It discusses the flexibility and control that custom comparers offer over default comparers and provides examples of creating them. Benchmarks also illustrate the performance benefits, while cautioning that custom comparers may introduce overhead in certain scenarios.

Microsoft .NET Code Analysis: Optimizing JSON Serialization with Cached Options

Caching your JSON serialization options in .NET leads to significant performance benefits.