将CSV文件导入到.Net中的强类型数据结构 [英] Import CSV file to strongly typed data structure in .Net

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本文介绍了将CSV文件导入到.Net中的强类型数据结构的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

将CSV文件导入强类型数据结构的最佳方法是什么?

What's the best way to import a CSV file into a strongly-typed data structure?

推荐答案

Microsoft的 TextFieldParser 是稳定的,对于CSV文件,遵循 RFC 4180 .不要被Microsoft.VisualBasic命名空间推迟;它是.NET Framework中的标准组件,只需添加对全局Microsoft.VisualBasic程序集的引用即可.

Microsoft's TextFieldParser is stable and follows RFC 4180 for CSV files. Don't be put off by the Microsoft.VisualBasic namespace; it's a standard component in the .NET Framework, just add a reference to the global Microsoft.VisualBasic assembly.

如果您正在为Windows(而不是Mono)编译,并且不希望解析破碎的"(不符合RFC的)CSV文件,那么这将是显而易见的选择,因为它是免费的,不受限制的,稳定且受到积极支持,对于FileHelpers来说,绝不能说很多.

If you're compiling for Windows (as opposed to Mono) and don't anticipate having to parse "broken" (non-RFC-compliant) CSV files, then this would be the obvious choice, as it's free, unrestricted, stable, and actively supported, most of which cannot be said for FileHelpers.

另请参阅:如何:从Visual Basic中读取逗号分隔的文本文件以获取VB代码示例.

See also: How to: Read From Comma-Delimited Text Files in Visual Basic for a VB code example.

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