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Journals / Türk Doğa ve Fen Dergisi / 2026 / Sayı: 1 Özel Sayı

Performance Analysis of Span Data Type in C# Programming Language

Hakan Akdoğan(Özdilek Ev Tekstil Sanayi ve Ticaret A.Ş)0009-0000-5067-268X
Halil İbrahim Duymaz(Özdilek Ev Tekstil Sanayi ve Ticaret A.Ş)0009-0005-8406-8831
Nadir Kocakır(Özdilek Ev Tekstil Sanayi ve Ticaret A.Ş)0000-0001-7421-0631
Önder Karademir(Özdilek Ev Tekstil Sanayi ve Ticaret A.Ş)0000-0001-5757-7335
Pages
29–36
Publication Date
2024-10-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The Span data type may be a more effective option, especially in data processing and performance-sensitive applications.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study presents a comparative analysis of the Span data type in the C# programming language against other data types.
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Key Findings & Data:Span is a data type supported in .NET Core 2.1 and later versions, and this research investigates its impact on method performance and memory usage.
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Conclusion & Impact:The Span data type may be a more effective option, especially in data processing and performance-sensitive applications.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Span Data Type · Performance Analysis · .NET Core

Abstract

This study presents a comparative analysis of the Span data type in the C# programming language against other data types. Span is a data type supported in .NET Core 2.1 and later versions, and this research investigates its impact on method performance and memory usage. The primary objective of the study is to highlight the potential advantages of the Span data type for C# developers. In pursuit of this goal, the study examines the performance effects of the Span data type through comparative analyses using various methods. For instance, when comparing the StringReplace and SpanReplace methods over 1000 iterations, it is observed that SpanReplace is significantly faster. Similarly, analyses conducted on methods like Contains used in data types such as Queue, List, and Stack demonstrate the performance advantages of the Span data type. In scenarios where the Span data type is employed, it is determined that memory consumption is lower compared to other data types. These findings can assist C# programmers in understanding the potential of the Span data type and optimizing their code accordingly. The Span data type may be a more effective option, especially in data processing and performance-sensitive applications.

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Cite This Article

Akdoğan, H., Duymaz, H. İ., Kocakır, N., Karademir, Ö. (2024). Performance Analysis of Span Data Type in C# Programming Language. Türk Doğa ve Fen Dergisi, Sayı: 1 Özel Sayı, 29–36. https://doi.org/10.46810/tdfd.1425662

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