How to use Bulk insert in entity framework?

How to use Bulk insert in entity framework?

The BulkInsert method is fast but also flexible to let you handle various scenarios in Entity Framework such as:

1. Insert and keep identity value.
2. Insert and include/exclude properties.
3. Insert only if the entity not already exists.
4. Insert with related child entities (Include Graph)
5. Insert with future action.

How to speed up entity framework inserts?

I would do a few simple tests which will very likely improve the performance:

1. Call SaveChanges() once after ALL records.
2. Call SaveChanges() after for example 100 records.
3. Call SaveChanges() after for example 100 records and dispose the context and create a new one.
4. Disable change detection.

When to use Entity Framework for bulk inserts?

Entity Framework has not been created for Bulk Operations. For every entity you save, a database round-trip is performed. So, if you want to insert 20,000 records, you will perform 20,000 database round-trip which is INSANE! There are some third-party libraries supporting Bulk Insert available:

Is it possible to insert records in Entity Framework?

SaveChanges method makes it quite impossible to handle this kind of situation directly from Entity Framework due to the number of database round-trips required. SaveChanges requires one database round-trip for every entity to insert. So if you need to insert 10000 entities, then 10000 database round-trips will be performed which is INSANELY slow.

How does database context work in Entity Framework 6 +?

In Entity Framework 6+ the database context implements the unit of work pattern so that any changes you make to the model are not persisted until you call the SaveChanges () method. This is the most obvious way of implementing any bulk update. You just push the changes into the context and persist them in a single operation as shown below:

Why do we use EF instead of Entity Framework?

Other operations can continue using EF as before. That increases the maintenance cost of the solution, but anyway helps reduce time required to insert large collections of objects into the database by one to two orders of magnitude compared to using EF.