我使用双解析解决方案，因为它非常容易维护

// Prepare the values
var allLines = (from trade in proposedTrades
                select new object[] 
                { 
                    trade.TradeType.ToString(), 
                    trade.AccountReference, 
                    trade.SecurityCodeType.ToString(), 
                    trade.SecurityCode, 
                    trade.ClientReference, 
                    trade.TradeCurrency, 
                    trade.AmountDenomination.ToString(), 
                    trade.Amount, 
                    trade.Units, 
                    trade.Percentage, 
                    trade.SettlementCurrency, 
                    trade.FOP, 
                    trade.ClientSettlementAccount, 
                    string.Format("\"{0}\"", trade.Notes),                             
                }).ToList();

// Build the file content
var csv = new StringBuilder();
allLines.ForEach(line => 
{
    csv.AppendLine(string.Join(",", line));            
});

File.WriteAllText(filePath, csv.ToString());

我强烈建议你走更乏味的路线。尤其是当你的文件很大的时候。

using(var w = new StreamWriter(path))
{
    for( /* your loop */)
    {
        var first = yourFnToGetFirst();
        var second = yourFnToGetSecond();
        var line = string.Format("{0},{1}", first, second);
        w.WriteLine(line);
        w.Flush();
    }
}

file. appendalltext()打开一个新文件，写入内容，然后关闭文件。与将数据写入开放流相比，打开文件是一个耗费大量资源的操作。在循环中打开/关闭文件会导致性能下降。

Johan建议的方法解决了这个问题，方法是将所有输出存储在内存中，然后只写入一次。然而(在大文件的情况下)，您的程序将消耗大量的RAM，甚至崩溃与OutOfMemoryException

我的解决方案的另一个优点是，您可以通过保存输入数据中的当前位置来实现暂停/恢复。

乌利希期刊指南。把使用放在正确的地方

可以使用库而不是重新发明轮子。CsvHelper非常适合创建和读取csv文件。它的读写操作是基于流的，因此也支持有大量数据的操作。

您可以像下面这样编写csv文件。

using(var textWriter = new StreamWriter(@"C:\mypath\myfile.csv"))
{
    var writer = new CsvWriter(textWriter, CultureInfo.InvariantCulture);
    writer.Configuration.Delimiter = ",";

    foreach (var item in list)
    {
        writer.WriteField( "a" );
        writer.WriteField( 2 );
        writer.WriteField( true );
        writer.NextRecord();
    }
}

由于库正在使用反射，它将接受任何类型并直接解析它。

public class CsvRow
{
    public string Column1 { get; set; }
    public bool Column2 { get; set; }

    public CsvRow(string column1, bool column2)
    {
        Column1 = column1;
        Column2 = column2;
    }
}

IEnumerable<CsvRow> rows = new [] {
    new CsvRow("value1", true),
    new CsvRow("value2", false)
};
using(var textWriter = new StreamWriter(@"C:\mypath\myfile.csv")
{
    var writer = new CsvWriter(textWriter, CultureInfo.InvariantCulture);
    writer.Configuration.Delimiter = ",";
    writer.WriteRecords(rows);
}

value1,真切

value2,假

如果你想阅读更多关于库的配置和可能性，你可以在这里这样做。

下面是另一个开源库，可以轻松创建CSV文件，Cinchoo ETL

List<dynamic> objs = new List<dynamic>();

dynamic rec1 = new ExpandoObject();
rec1.Id = 10;
rec1.Name = @"Mark";
rec1.JoinedDate = new DateTime(2001, 2, 2);
rec1.IsActive = true;
rec1.Salary = new ChoCurrency(100000);
objs.Add(rec1);

dynamic rec2 = new ExpandoObject();
rec2.Id = 200;
rec2.Name = "Tom";
rec2.JoinedDate = new DateTime(1990, 10, 23);
rec2.IsActive = false;
rec2.Salary = new ChoCurrency(150000);
objs.Add(rec2);

using (var parser = new ChoCSVWriter("emp.csv").WithFirstLineHeader())
{
    parser.Write(objs);
}

有关更多信息，请阅读CodeProject关于使用的文章。

消除覆盖问题的一个简单方法是使用File。将行追加到文件的末尾作为

void Main()
{
    using (System.IO.StreamWriter sw = System.IO.File.AppendText("file.txt"))
    {          
        string first = reader[0].ToString();
        string second=image.ToString();
        string csv = string.Format("{0},{1}\n", first, second);
        sw.WriteLine(csv);
    }
} 

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;
using System.Data;
using System.Configuration;
using System.Data.SqlClient;

public partial class CS : System.Web.UI.Page
{
    protected void ExportCSV(object sender, EventArgs e)
    {
        string constr = ConfigurationManager.ConnectionStrings["constr"].ConnectionString;
        using (SqlConnection con = new SqlConnection(constr))
        {
            using (SqlCommand cmd = new SqlCommand("SELECT * FROM Customers"))
            {
                using (SqlDataAdapter sda = new SqlDataAdapter())
                {
                    cmd.Connection = con;
                    sda.SelectCommand = cmd;
                    using (DataTable dt = new DataTable())
                    {
                        sda.Fill(dt);

                        //Build the CSV file data as a Comma separated string.
                        string csv = string.Empty;

                        foreach (DataColumn column in dt.Columns)
                        {
                            //Add the Header row for CSV file.
                            csv += column.ColumnName + ',';
                        }

                        //Add new line.
                        csv += "\r\n";

                        foreach (DataRow row in dt.Rows)
                        {
                            foreach (DataColumn column in dt.Columns)
                            {
                                //Add the Data rows.
                                csv += row[column.ColumnName].ToString().Replace(",", ";") + ',';
                            }

                            //Add new line.
                            csv += "\r\n";
                        }

                        //Download the CSV file.
                        Response.Clear();
                        Response.Buffer = true;
                        Response.AddHeader("content-disposition", "attachment;filename=SqlExport.csv");
                        Response.Charset = "";
                        Response.ContentType = "application/text";
                        Response.Output.Write(csv);
                        Response.Flush();
                        Response.End();
                    }
                }
            }
        }
    }
}