Performing Bulk Data Insert/Update in .NET

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Performing Bulk Data Insert/Update in .NET

When working with large datasets, traditional row-by-row insert or update operations in .NET can be painfully slow and inefficient. For enterprise applications that handle thousands or even millions of records, performance matters. This is where bulk operations come into play.

In .NET, bulk insert/update operations allow developers to process large volumes of data efficiently by minimizing the number of database round-trips and reducing overhead. One of the most popular and powerful libraries for this purpose is EFCore.BulkExtensions for Entity Framework Core or SqlBulkCopy for direct ADO.NET usage.

SqlBulkCopy

SqlBulkCopy is a built-in .NET class that provides a fast way to copy data from a DataTable, IDataReader, or DataRow[] to a SQL Server table. It bypasses the Entity Framework context and inserts data directly into the database, making it extremely efficient.

Example:

csharp

using (var bulkCopy = new SqlBulkCopy(connection))

{

    bulkCopy.DestinationTableName = "dbo.MyTable";

    bulkCopy.WriteToServer(dataTable);

}

EFCore.BulkExtensions

If you're using EF Core and want to stick with your entity models, EFCore.BulkExtensions simplifies bulk operations like insert, update, delete, and read.

Example:

csharp

await context.BulkInsertAsync(myEntities);

await context.BulkUpdateAsync(myEntities);

Best Practices

Use transactions for data integrity.

Disable triggers and indexes during bulk operations if not needed.

Use batching and streaming for extremely large data sets.

By using bulk operations in .NET, you can significantly improve performance, scalability, and resource efficiency in your applications.

Read More

LINQ Joins, GroupBy, and Filtering

Creating Relational Tables using EF Core

Data Annotations and Fluent API in EF Core

Writing Stored Procedures and Using them in .NET

Code First vs Database First in Entity Framework

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