SqlBulkCopy.WriteToServer Method (DataTable)

Copies all rows in the supplied DataTable to a destination table specified by the

DestinationTableName property of the SqlBulkCopy object.

Namespace:  System.Data.SqlClient

Parameters

table

Type: System.Data.DataTable
A DataTable whose rows will be copied to the destination table.

Remarks

All rows in the DataTable are copied to the destination table except those that have been deleted.
While the bulk copy operation is in progress, the associated destination SqlConnection is busy serving it, and no other operations can be performed on the connection.
The ColumnMappings collection maps from the DataTable columns to the destination database table.

Examples

The following Console application demonstrates how to bulk load data from a DataTable. The destination table is a table in the AdventureWorks database.
In this example, a DataTable is created at run time and is the source of the SqlBulkCopy operation.

Important
This sample will not run unless you have created the work tables as described in Bulk Copy Example Setup. This code is provided to demonstrate the syntax for using SqlBulkCopy only. If the source and destination tables are in the same SQL Server instance, it is easier and faster to use a Transact-SQL INSERT … SELECT statement to copy the data.

C#

VB

using System.Data.SqlClient;

class Program
{
    static void Main()
    {
        string connectionString = GetConnectionString();
        // Open a connection to the AdventureWorks database. 
        using (SqlConnection connection =
                   new SqlConnection(connectionString))
        {
            connection.Open();

            // Perform an initial count on the destination table.
            SqlCommand commandRowCount = new SqlCommand(
                "SELECT COUNT(*) FROM " +
                "dbo.BulkCopyDemoMatchingColumns;",
                connection);
            long countStart = System.Convert.ToInt32(
                commandRowCount.ExecuteScalar());
            Console.WriteLine("Starting row count = {0}", countStart);

            // Create a table with some rows. 
            DataTable newProducts = MakeTable();

            // Create the SqlBulkCopy object.  
            // Note that the column positions in the source DataTable  
            // match the column positions in the destination table so  
            // there is no need to map columns.  
            using (SqlBulkCopy bulkCopy = new SqlBulkCopy(connection))
            {
                bulkCopy.DestinationTableName = 
                    "dbo.BulkCopyDemoMatchingColumns";

                try
                {
                    // Write from the source to the destination.
                    bulkCopy.WriteToServer(newProducts);
                }
                catch (Exception ex)
                {
                    Console.WriteLine(ex.Message);
                }
            }

            // Perform a final count on the destination  
            // table to see how many rows were added. 
            long countEnd = System.Convert.ToInt32(
                commandRowCount.ExecuteScalar());
            Console.WriteLine("Ending row count = {0}", countEnd);
            Console.WriteLine("{0} rows were added.", countEnd - countStart);
            Console.WriteLine("Press Enter to finish.");
            Console.ReadLine();
        }
    }

    private static DataTable MakeTable()
        // Create a new DataTable named NewProducts. 
    {
        DataTable newProducts = new DataTable("NewProducts");

        // Add three column objects to the table. 
        DataColumn productID = new DataColumn();
        productID.DataType = System.Type.GetType("System.Int32");
        productID.ColumnName = "ProductID";
        productID.AutoIncrement = true;
        newProducts.Columns.Add(productID);

        DataColumn productName = new DataColumn();
        productName.DataType = System.Type.GetType("System.String");
        productName.ColumnName = "Name";
        newProducts.Columns.Add(productName);

        DataColumn productNumber = new DataColumn();
        productNumber.DataType = System.Type.GetType("System.String");
        productNumber.ColumnName = "ProductNumber";
        newProducts.Columns.Add(productNumber);

        // Create an array for DataColumn objects.
        DataColumn[] keys = new DataColumn[1];
        keys[0] = productID;
        newProducts.PrimaryKey = keys;

        // Add some new rows to the collection. 
        DataRow row = newProducts.NewRow();
        row["Name"] = "CC-101-WH";
        row["ProductNumber"] = "Cyclocomputer - White";

        newProducts.Rows.Add(row);
        row = newProducts.NewRow();
        row["Name"] = "CC-101-BK";
        row["ProductNumber"] = "Cyclocomputer - Black";

        newProducts.Rows.Add(row);
        row = newProducts.NewRow();
        row["Name"] = "CC-101-ST";
        row["ProductNumber"] = "Cyclocomputer - Stainless";
        newProducts.Rows.Add(row);
        newProducts.AcceptChanges();

        // Return the new DataTable.  
        return newProducts;
    }
    private static string GetConnectionString()
        // To avoid storing the connection string in your code,  
        // you can retrieve it from a configuration file. 
    {
        return "Data Source=(local); " +
            " Integrated Security=true;" +
            "Initial Catalog=AdventureWorks;";
    }
}

Version Information

.NET Framework

Supported in: 4.5.1, 4.5, 4, 3.5, 3.0, 2.0

.NET Framework Client Profile

Supported in: 4, 3.5 SP1

Platforms

Windows Phone 8.1, Windows Phone 8, Windows 8.1, Windows Server 2012 R2, Windows 8, Windows Server 2012, Windows 7, Windows Vista SP2, Windows Server 2008 (Server Core Role not supported), Windows Server 2008 R2 (Server Core Role supported with SP1 or later; Itanium not supported)
The .NET Framework does not support all versions of every platform. For a list of the supported versions, see .NET Framework System Requirements.

http://msdn.microsoft.com/en-us/library/ex21zs8x.aspx

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To import an Excel file into MySQL, first export it as a CSV file. Remove the CSV headers from the generated CSV file along with empty data that Excel may have put at the end of the CSV file.

You can then import it into a MySQL table by running:

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enclosed by '"'
lines terminated by '\n'
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The fields here are the actual tblUniq table fields that the data needs to sit in. The enclosed by and lines terminated by are optional and can help if you have columns enclosed with double-quotes such as Excel exports, etc.