.net – 如何将CsvHelper记录添加到DataTable以用于SqlBulkCopy到数据库

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我试图用CsvHelper读取CSV文件,将每个记录加载到DataTable,然后使用sqlBulkCopy将数据插入数据库表.使用当前代码,在向DataTable添加行时会出现异常.例外情况是:“无法将’MvcStockAnalysis.Models.StockPrice’类型的对象强制转换为’System.IConvertible’.不能存储在日期列中.预期的类型是DateTime.”

示例CSV文件来自yahoo finance.例如:@L_403_0@

CSV文件包含以下标头:
日期打开高低关闭量调整关闭

我正在将CSV文件读入的模型:

namespace MvcStockAnalysis.Models
{
    using System;
    using System.Collections.Generic;

    public partial class StockPrice
    {
        public int Id { get; set; }
        public System.DateTime Date { get; set; }
        public int CompanyId { get; set; }
        public double High { get; set; }
        public double Low { get; set; }
        public double Close { get; set; }
        public double AdjClose { get; set; }
        public double Open { get; set; }
        public double Volume { get; set; }

        public virtual Company Company { get; set; }
    }
}

CSV文件到StockPrice类的映射使用以下内容

public class StockPriceClassMap : CsvClassMap<StockPrice>
{
    public override void CreateMap()
    {
        Map(m => m.Date).Name("Date");
        Map(m => m.Close).Name("Close");
        Map(m => m.AdjClose).Name("Adj Close");
        Map(m => m.High).Name("High");
        Map(m => m.Low).Name("Low");
        Map(m => m.Open).Name("Open");
        Map(m => m.Volume).Name("Volume");
    }
}

尝试将CsvHelper记录添加到DataTable的代码如下:

var connectionstring = ConfigurationManager.ConnectionStrings["MvcStockAnalysis.Models.MvcStockAnalysisContext"];
var connection = new sqlConnection();
connection.ConnectionString = connectionstring.ToString();
var destinationTableName = "StockPrices";
var company = db.Company
            .Where(c => c.Symbol == "MMM")
            .FirstOrDefault();

try
{
    string path = HttpContext.Server.MapPath("~/App_Data/" + company.Symbol + @".csv");

    if (System.IO.File.Exists(path))
    {     

        using (StreamReader sr = new StreamReader(path))
        {
            using (var csv = new CsvReader(sr))
            {
                DataTable dt = new DataTable("StockPrices");
                csv.Configuration.HasHeaderRecord = true;
                csv.Configuration.RegisterClassMap<StockPriceClassMap>();

                dt.Columns.Add(new DataColumn("Date",typeof(DateTime)));
                dt.Columns.Add(new DataColumn("Close",typeof(Double)));
                dt.Columns.Add(new DataColumn("AdjClose",typeof(Double)));
                dt.Columns.Add(new DataColumn("High",typeof(Double)));
                dt.Columns.Add(new DataColumn("Low",typeof(Double)));
                dt.Columns.Add(new DataColumn("Open",typeof(Double)));
                dt.Columns.Add(new DataColumn("Volume",typeof(Double)));
                dt.Columns.Add(new DataColumn("CompanyId",typeof(Double)));
                var records = csv.GetRecords<StockPrice>().ToList();
                foreach (var record in records)
                {                                    
                    record.CompanyId = company.Id;
                    dt.Rows.Add(record);
                }
                // add dt to the database
                using (var bulkCopy = new sqlBulkCopy(connection.ConnectionString))
                {
                    // DataTable column names match my sql Column names,so I simply made this loop. 
                    foreach (DataColumn col in dt.Columns)
                    {
                        bulkCopy.ColumnMappings.Add(col.ColumnName,col.ColumnName);
                    }
                    bulkCopy.DestinationTableName = destinationTableName;
                    bulkCopy.WriteToServer(dt);
                }
            }
        }
    }
    connection.Close();
}
catch (Exception e)
{
    Console.Write(e.Message);
}

如何将CsvHelper记录添加到DataTable以用于sqlBulkCopy到数据库

解决方法

如果我没弄错的话,你应该可以用更少的代码来做.在进入DataTable之前,您不必进入另一个类.
while( csv.Read() )
{
    var row = dt.NewRow();
    foreach( DataColumn column in dt.Columns )
    {
        row[column.ColumnName] = csv.GetField( column.DataType,column.ColumnName );
    }
    dt.Rows.Add( row );
}
原文链接:https://www.f2er.com/mssql/77953.html

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