SQL Server 2008:BULK INSERT csv - 是否可以选择字段?

时间:2010-10-08 19:17:12

标签: sql sql-server

我在做:

BULK INSERT CSVTest FROM 'c:\csvtest.txt'
WITH
(FIELDTERMINATOR = ',',
 ROWTERMINATOR = '\n')
GO

--Check the content of the table.
SELECT *
FROM CSVTest
GO

--Drop the table to clean up database.
SELECT *
FROM CSVTest
GO

是否可以仅插入csv中的特定字段?

3 个答案:

答案 0 :(得分:4)

您可以使用格式文件执行此操作。请参阅:Using a Format File to Skip a Table ColumnUsing a Format File to Skip a Data Field

答案 1 :(得分:4)

或者,您可以bulk insert into a view

另见this question

答案 2 :(得分:0)

using System;
using System.Data;
using System.Data.SqlClient;

namespace SqlBulkInsertExample
{
    class Program
    {
      static void Main(string[] args)
        {
            DataTable prodSalesData = new DataTable("ProductSalesData");

            // Create Column 1: SaleDate
            DataColumn dateColumn = new DataColumn();
            dateColumn.DataType = Type.GetType("System.DateTime");
            dateColumn.ColumnName = "SaleDate";

            // Create Column 2: ProductName
            DataColumn productNameColumn = new DataColumn();
            productNameColumn.ColumnName = "ProductName";

            // Create Column 3: TotalSales
            DataColumn totalSalesColumn = new DataColumn();
            totalSalesColumn.DataType = Type.GetType("System.Int32");
            totalSalesColumn.ColumnName = "TotalSales";

            // Add the columns to the ProductSalesData DataTable
            prodSalesData.Columns.Add(dateColumn);
            prodSalesData.Columns.Add(productNameColumn);
            prodSalesData.Columns.Add(totalSalesColumn);

            // Let's populate the datatable with our stats.
            // You can add as many rows as you want here!

            // Create a new row
            DataRow dailyProductSalesRow = prodSalesData.NewRow();
            dailyProductSalesRow["SaleDate"] = DateTime.Now.Date;
            dailyProductSalesRow["ProductName"] = "Nike";
            dailyProductSalesRow["TotalSales"] = 10;

            // Add the row to the ProductSalesData DataTable
            prodSalesData.Rows.Add(dailyProductSalesRow);

            // Copy the DataTable to SQL Server using SqlBulkCopy
            using (SqlConnection dbConnection = new SqlConnection("Data Source=ProductHost;Initial Catalog=dbProduct;Integrated Security=SSPI;Connection Timeout=60;Min Pool Size=2;Max Pool Size=20;"))
            {
                dbConnection.Open();
                using (SqlBulkCopy s = new SqlBulkCopy(dbConnection))
                {
                    s.DestinationTableName = prodSalesData.TableName;

                    foreach (var column in prodSalesData.Columns)
                        s.ColumnMappings.Add(column.ToString(), column.ToString());

                    s.WriteToServer(prodSalesData);
                }
            }
        }
    }
}
The Output is
select * from dbo.ProductSalesData

SaleDate               ProductName  TotalSales
27/08/2013 00:00:00    Nike         10