The post discusses alternative approaches to adding items to a collection using For() or ForEach() from the Task Parallel Library.
Tag: Code Performance
General Performance Tip: Can Pattern Matching Improve Performance?
The article discusses the potential performance improvements gained by leveraging pattern matching in .NET. It contrasts a traditional method for rounding numbers with a more refined version employing pattern matching.
String Performance: Appending a Character using the StringBuilder
The use of a single character with a StringBuilder from an ObjectPool can improve performance. Benchmark results show similar overall performance, but without an ObjectPool, using a character becomes more significant. It is recommended to use a character in such cases. EditorConfig setup can check for this issue using dotnet_diagnostic.CA1834.severity = warning.
Code It Any Way You Want: Checking Strings for Null
The article discusses best practices for checking strings for null in coding. It outlines three common methods: using == null, is null, or string.IsNullOrEmpty().
General Performance Tips
To enhance the performance of .NET applications, developers should focus on mastering key techniques rather than relying on quick fixes. This resource offers a comprehensive collection of practical, evidence-based tips covering a range of topics, from memory management to coding patterns, aimed at creating efficient, robust applications ready for production.
Reference Type & Structure Performance: Hashing Classes, Records, and Structures
A SHA256 hash can be generated for a class, record, or structure using a specific code. Performance analysis shows that hashing a class is 1.032 times faster than a structure and 1.048 times more efficient than a record. The memory allocations for record, reference, and value types are also provided in bytes.
General Performance Tip: Cloning Various Types
The post discusses the process of cloning different types of objects, with Microsoft recommending the use of JSON serialization for this purpose. The author explores the performance differences in cloning reference types, value types, and record types. Benchmark results using JsonSerializer reveal that cloning reference types is 1.015 times faster than cloning record types and 1.24 times more performant than cloning value types. The findings are shared for reference.
String Performance: Optimizing String Substring Extraction – Slicing vs. AsSpan()
The content presents an alternative approach to obtaining a substring using slicing with ReadOnlySpan and AsSpan() methods.
General Performance Tip: Optimizing Method Returns
When customizing attributes, Microsoft and I both advise sealing them for clarity and performance. However, benchmark results show sealing attributes to be marginally less performant, with both outcomes indicating a memory allocation of 24 bytes. Despite this, I maintain that sealing non-inheritable classes is essential for robust class design.
Collection Performance: Comparing Key Search Methods in Dictionaries
The post discusses two methods for searching a specific key in a Dictionary. The ContainsKey() method is recommended by Microsoft for improved performance but is it more performant?
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