How Can I Optimize Entity Framework for High-Performance Bulk Inserts?

Boosting Entity Framework Bulk Insert Speed: Practical Strategies

Efficiently inserting large datasets into a database using Entity Framework (EF) often requires optimization. This article outlines key techniques to dramatically improve bulk insert performance.

A primary performance bottleneck is the frequent invocation of SaveChanges(). Processing each record individually leads to significant overhead. The solution? Batch inserts. Group records together and call SaveChanges() only once per batch.

Another crucial optimization involves disabling EF's change tracking. While beneficial in many scenarios, change tracking adds unnecessary overhead during bulk inserts. Disabling it frees up resources and accelerates the process.

Furthermore, consider disposing of the EF context after each batch and creating a fresh instance. This prevents the accumulation of attached entities, which can hinder performance over time.

Let's illustrate these optimizations with C# code:

using (TransactionScope scope = new TransactionScope())
{
    using (MyDbContext context = new MyDbContext())
    {
        context.ChangeTracker.AutoDetectChangesEnabled = false; // More concise way to disable change tracking

        int count = 0;
        foreach (var entity in someCollectionOfEntitiesToInsert)
        {
            ++count;
            context.Set<MyEntity>().Add(entity); // Assuming MyEntity is your entity type

            if (count % commitCount == 0)
            {
                context.SaveChanges();
                context.Dispose();
                context = new MyDbContext();
            }
        }

        context.SaveChanges(); // Save any remaining entities
    }

    scope.Complete();
}

Here, commitCount determines the batch size before saving changes and recreating the context. Adjust this value based on your system's resources and database capabilities.

By implementing these strategies, you can achieve substantial improvements in the speed of your Entity Framework bulk insert operations.

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