How Can I Optimize DataTable Insertion into a Database for Maximum Speed?

Accelerating DataTable to Database Imports: Best Practices

Importing large datasets from DataTables into databases requires efficient techniques to minimize processing time. While row-by-row insertion using foreach loops is a common approach, it's inefficient for substantial datasets.

A superior solution is SqlBulkCopy, offering significantly improved performance without requiring stored procedures.

Implementing SqlBulkCopy is relatively simple. Start by creating a database connection, utilizing SqlBulkCopyOptions.KeepIdentity to preserve identity columns.

Next, map DataTable columns to their corresponding database table columns using the ColumnMappings property.

Finally, specify the destination table and employ the WriteToServer method to transfer the DataTable data.

Here's a code example illustrating SqlBulkCopy usage:

<code class="language-csharp">using (var bulkCopy = new SqlBulkCopy(_connection.ConnectionString, SqlBulkCopyOptions.KeepIdentity))
{
    // Map columns between DataTable and SQL table
    foreach (DataColumn col in table.Columns)
    {
        bulkCopy.ColumnMappings.Add(col.ColumnName, col.ColumnName);
    }

    bulkCopy.BulkCopyTimeout = 600; // Increased timeout for large datasets
    bulkCopy.DestinationTableName = destinationTableName;
    bulkCopy.WriteToServer(table);
}</code>

Using SqlBulkCopy dramatically enhances data insertion speed, leading to optimal performance when dealing with large DataTables. Remember to adjust BulkCopyTimeout as needed for exceptionally large datasets.

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