首先，您需要导入CSV文件到数据表

然后可以使用SQLBulkCopy插入大容量行

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);
                }
            }
        }
    }
}

如上所述，您需要添加FORMAT和FIELDQUOTE选项来批量将. csv数据插入SQL Server。对于你的case, SQL语句是这样的:

BULK INSERT SchoolsTemp
FROM 'C:\CSVData\Schools.csv'
WITH
(
    FORMAT = 'CSV', 
    FIELDQUOTE = '""',
    FIRSTROW = 2,
    FIELDTERMINATOR = ',',
    ROWTERMINATOR = '\n',
    TABLOCK
)

虽然SSMS中的BULK INSERT非常适合一次性导入作业，但根据您的用例，您可能需要SSMS内部或使用第三方的其他选项。下面是一个详细的指南，描述了将CSV文件导入SQL Server的各种选项，包括自动化(我的意思是计划)过程和为CSV位置指定FTP或文件存储的方法。

首先，您需要导入CSV文件到数据表

然后可以使用SQLBulkCopy插入大容量行

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);
                }
            }
        }
    }
}

从2013-11-05如何使用SQL Server Management Studio将CSV文件导入到数据库中:

First create a table in your database into which you will be importing the CSV file. After the table is created: Log into your database using SQL Server Management Studio Right click on your database and select Tasks -> Import Data... Click the Next > button For the Data Source, select Flat File Source. Then use the Browse button to select the CSV file. Spend some time configuring how you want the data to be imported before clicking on the Next > button. For the Destination, select the correct database provider (e.g. for SQL Server 2012, you can use SQL Server Native Client 11.0). Enter the Server name; Check Use SQL Server Authentication, enter the User name, Password, and Database before clicking on the Next > button. On the Select Source Tables and Views window, you can Edit Mappings before clicking on the Next > button. Check the Run immediately check box and click on the Next > button. Click on the Finish button to run the package.

如果有人想使用powershell导入csv

## Install module if not installed, this is a one time install.
Install-Module SqlServer

## Input SQL Server Variables and CSV path
$csvPath = "D:\Orders.csv"
$csvDelimiter = ","
$serverName = "DESKTOP-DOG5T0Q\SQLEXPRESS"
$databaseName = "OrderDetails"
$tableSchema = "dbo"
$tableName = "Orders"

## Truncate Table
Invoke-Sqlcmd -ServerInstance $serverName -Database $databaseName -Query "TRUNCATE TABLE $tableSchema.$tableName"

## Import CSV into SQL
Import-Csv -Path $csvPath -header "Id","Country","Price","OrderQuantity" -Delimiter $csvDelimiter | Write-SqlTableData -ServerInstance $serverName -DatabaseName $databaseName -SchemaName $tableSchema -TableName $tableName -Force

导入csv到SQL server(使用SSMS查询或不查询)

因为他们不使用SQL导入向导，步骤如下:

右键单击任务选项中的数据库导入数据， 一旦向导打开，我们选择要隐含的数据类型。在这种情况下，它是

平面文件源

我们选择CSV文件，您可以配置CSV中表的数据类型，但最好是从CSV中带来。

单击Next并选择最后一个选项

SQL客户机

根据我们选择的身份验证类型，一旦完成，就会出现一个非常重要的选项。

我们可以在CSV中定义表的id(建议CSV中的列应该与表中的字段相同)。在Edit Mappings选项中，我们可以看到带有电子表格列的每个表的预览，如果我们希望向导在默认情况下插入id，则不勾选该选项。

启用id插入

(通常不是从1开始)，相反，如果我们在CSV中有一个id列，我们选择启用id插入，下一步是结束向导，我们可以在这里检查更改。

另一方面，在下面的窗口中可能会出现警报，或警告，理想的是忽略这一点，只有当他们留下错误时才有必要注意。

这个链接有图片。