Fastest Way of Inserting in Entity Framework

Maximizing Speed Levels

Batching: Breaking Big into Small Efficient Chunks

Create batches of records and avoid invoking SaveChanges() after every operation. This approach substantially reduces database interactions, thereby improving speed.

foreach (var entity in entitiesList)
{
    context.Add(entity); //Gather 'em all!
}   

context.SaveChanges(); //One mighty push!


Threshold tip: Experiment with your batch sizes. Begin with sizes around 100 and proceed towards 1000 or above to find the optimal size.

Memory caution: Be mindful of large objects, as they may overload your memory. Ascertain a safe limit to circumvent out-of-memory exceptions.

Slashing Down Change Detection

For improved speed, consider switching off Entity Framework's AutoDetectChangesEnabled. This maneuver disables internal change tracking that often slows down bulk operations.

context.Configuration.AutoDetectChangesEnabled = false; //Pulling the brakes on change check.


Retain optimal performance by frequently refreshing your DbContext.

Transaction Management to the Rescue!

Wrap your operations in a TransactionScope. This ensures data consistency and integrity, an absolute must for any database operation.

using(var transaction = new TransactionScope())
{
    //Majestic batching operations dance in here!
    transaction.Complete(); //Sealing the deal!
}


Asynchronism is the Future!

Utilize asynchronous methods such as BulkInsertAsync to increase throughput and keep your application responsive.

Enter SQLBulkCopy: Bypassing EF

For extreme situation where data load is considerably large, you can bypass EF altogether and use SqlBulkCopy.

using (var bulkCopy = new SqlBulkCopy(connection))
{
    // BulkCopy expects your configuration
    // Then happily copies data from source to destination
}


Check out the SqlBulkCopy documentation to master this good chap.

Optimization Switches

Turn off ValidateOnSaveEnabled and manage transaction timeouts well especially during high-volume inserts. Who doesn't like express saves?

Knowing the Trade-offs

While Entity Framework is the star of operations of standard CRUD operations, do remember Superman has Kryptonite too. For large-scale tasks, raw SQL might save your day!

Preparation for Potential Challenges

Not all sunshine and rainbows! Expect challenges, but prepare for victory.

Managing Database Load and timeouts

Keep a hawk-eye on your Database load to prevent server strain. Keep timeouts at bay by optimizing batch sizes.

Understanding EF's Limitations

Entity Framework is a powerful tool but not always the perfect one. Know when to pull out the old reliable - raw SQL!

Concurrency: The Two-Pizza Rule

In situations with high data interaction, use optimistic concurrency to prevent deadlocks and keep the operation flowing smoothly.

Keeping Pace with EF Core

When bypassing EF isn't an option, get the most from EF Core.

• EFCore.BulkExtensions comes to aid for rapid inserts and upsert operations.
• Ensure smooth operation with BulkInsertOrUpdateOrDelete. That's how we roll with EF.
• Consider a "made-just-for-you" datareader when pairing up SqlBulkCopy with EF for the smoothest experience.