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EF Core Bulk Synchronize

Bulk synchronization is a process of transferring large amounts of data from one database to another in a single batch, as opposed to updating them incrementally. The goal is to improve the efficiency and speed of data transfer and to minimize the impact on the source database.

The easiest and fastest way to synchronize data is by using the Entity Framework Extensions third-party library.

Bulk Extensions Synchronize

Entity Framework Extensions provides the BulkSynchronize extension method that allows you to perform bulk inserts, updates, and deletes into the database in a single operation.

  • It can reduce the complexity of writing multiple queries and adds an extra layer of performance optimization.
  • It also supports batching which helps minimize round trips to the database by grouping commands together.
  • Additionally, it provides helpful features such as conditional synchronizing, making it easier to create custom logic for merging data.

Using the BulkSynchronize method is very simple. All you need to do is pass your entities in the parameter and let the automapping matching properties with column names:

Here's an example of how to use the BulkSynchronize method in Entity Framework Core:

using (var context = new MyDbContext())
    // Create a list of entities to be synchronized
    var authors = new List<Author>
        new Author { Id = 1, Name = "John" },
        new Author { Id = 2, Name = "Jane" },
        new Author { Id = 3, Name = "Jim" }

    // Use the BulkSynchronize method to synchronize the entities into the database

Why You Should Use BulkSynchronize

The bulk synchronizes operation allows you to perform multiple data operations at once, reducing the number of round trips to the database and improving performance. You might consider using the BulkSynchronize method in Entity Framework Core for several reasons:

  • The bulk synchronized operation is designed to ensure data consistency by using a single transaction to perform all the operations, eliminating the risk of data inconsistencies caused by multiple, separate transactions.
  • The bulk synchronization can be much faster than executing separate insert, delete, and update operations.
  • This feature is useful when you need to perform large-scale data operations, such as data migrations, and want to improve performance and reduce the risk of data inconsistencies.


Date Modified: 2023-03-02

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