To count elements in an IEnumerable collection, developers typically use the Count() method from System.Linq. Enumerable, with alternatives like TryGetNonEnumeratedCount() and LongCount() also available.
Tag: Collections
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.
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.
Microsoft .NET Code Analysis: Creating Empty Arrays
Arrays are popular in .NET for their efficiency. The .NET team recommends avoiding zero-length allocations, opting instead for Array.Empty() or using the [] expression for creating empty arrays. The latter is faster than both new string[0] and Array.Empty(), marking a shift in performance standards in recent .NET versions.
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.
Boost Your .NET Projects with Spargine: Unlocking the Power of ListExtensions
The ListExtensions class in DotNetTips.Spargine.Core enhances List functionality with high-performance methods for action execution, element addition, counting, and conversion to various collection types. It ensures reliable input validation and exception handling, aiding developers in creating efficient and maintainable code in .NET applications.
Optimizing Dictionary Performance in .NET: SortedDictionary vs. Dictionary
The article analyzes performance issues in .NET code using SortedDictionary. It recommends using Dictionary for single sorting needs and compares various sorting techniques. Benchmark results reveal that sorting keys separately and iterating is fastest, while SortedDictionary excels with foreach loops. Careful choice of dictionary type affects performance and memory allocation.
Boost Your .NET Projects: Unleashing the Power of Spargine’s FastSortedList
Spargine is a set of open-source .NET 8 packages created by the author since .NET 2, currently in production. It includes the EncryptionHelper class, which offers efficient methods for data encryption, key generation, and password verification.
Evaluating the Parallel Processing of Collections in Microsoft .NET
The article discusses the performance of various parallelism techniques for iterating over collections in .NET, comparing parallel methods such as Parallel.For and AsParallel() with traditional approaches. It highlights that while parallel methods can enhance performance for large collections, traditional methods often outperform them, particularly with smaller collections. Recommendations and a new method, FastModifyCollection, are introduced for efficient processing.
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