您应该考虑为此使用System.Data.SqlClient.SqlBulkCopy。这是文档，当然还有很多在线教程。

抱歉，我知道您正在寻找一个简单的答案来让EF做您想做的事情，但批量操作并不是ORM真正的用途。

您是否尝试过通过后台工作人员或任务插入？

在我的例子中，我插入了7760个寄存器，分布在182个具有外键关系的不同表中（通过NavigationProperties）。

没有这项任务，花了2分半钟。在一个Task（Task.Factory.StartNew（…））中，花费了15秒。

我只在将所有实体添加到上下文之后才执行SaveChanges（）。（确保数据完整性）

据我所知，EntityFramework中没有BulkInsert来提高大型插件的性能。

在这种情况下，您可以使用ADO.net中的SqlBulkCopy来解决问题

我同意亚当·拉基斯的观点。SqlBulkCopy是将批量记录从一个数据源传输到另一数据源的最快方法。我用这个复制了20K张唱片，只用了不到3秒钟。看看下面的例子。

public static void InsertIntoMembers(DataTable dataTable)
{           
    using (var connection = new SqlConnection(@"data source=;persist security info=True;user id=;password=;initial catalog=;MultipleActiveResultSets=True;App=EntityFramework"))
    {
        SqlTransaction transaction = null;
        connection.Open();
        try
        {
            transaction = connection.BeginTransaction();
            using (var sqlBulkCopy = new SqlBulkCopy(connection, SqlBulkCopyOptions.TableLock, transaction))
            {
                sqlBulkCopy.DestinationTableName = "Members";
                sqlBulkCopy.ColumnMappings.Add("Firstname", "Firstname");
                sqlBulkCopy.ColumnMappings.Add("Lastname", "Lastname");
                sqlBulkCopy.ColumnMappings.Add("DOB", "DOB");
                sqlBulkCopy.ColumnMappings.Add("Gender", "Gender");
                sqlBulkCopy.ColumnMappings.Add("Email", "Email");

                sqlBulkCopy.ColumnMappings.Add("Address1", "Address1");
                sqlBulkCopy.ColumnMappings.Add("Address2", "Address2");
                sqlBulkCopy.ColumnMappings.Add("Address3", "Address3");
                sqlBulkCopy.ColumnMappings.Add("Address4", "Address4");
                sqlBulkCopy.ColumnMappings.Add("Postcode", "Postcode");

                sqlBulkCopy.ColumnMappings.Add("MobileNumber", "MobileNumber");
                sqlBulkCopy.ColumnMappings.Add("TelephoneNumber", "TelephoneNumber");

                sqlBulkCopy.ColumnMappings.Add("Deleted", "Deleted");

                sqlBulkCopy.WriteToServer(dataTable);
            }
            transaction.Commit();
        }
        catch (Exception)
        {
            transaction.Rollback();
        }

    }
}

SqlBulkCopy速度极快

这是我的实现：

// at some point in my calling code, I will call:
var myDataTable = CreateMyDataTable();
myDataTable.Rows.Add(Guid.NewGuid,tableHeaderId,theName,theValue); // e.g. - need this call for each row to insert

var efConnectionString = ConfigurationManager.ConnectionStrings["MyWebConfigEfConnection"].ConnectionString;
var efConnectionStringBuilder = new EntityConnectionStringBuilder(efConnectionString);
var connectionString = efConnectionStringBuilder.ProviderConnectionString;
BulkInsert(connectionString, myDataTable);

private DataTable CreateMyDataTable()
{
    var myDataTable = new DataTable { TableName = "MyTable"};
// this table has an identity column - don't need to specify that
    myDataTable.Columns.Add("MyTableRecordGuid", typeof(Guid));
    myDataTable.Columns.Add("MyTableHeaderId", typeof(int));
    myDataTable.Columns.Add("ColumnName", typeof(string));
    myDataTable.Columns.Add("ColumnValue", typeof(string));
    return myDataTable;
}

private void BulkInsert(string connectionString, DataTable dataTable)
{
    using (var connection = new SqlConnection(connectionString))
    {
        connection.Open();
        SqlTransaction transaction = null;
        try
        {
            transaction = connection.BeginTransaction();

            using (var sqlBulkCopy = new SqlBulkCopy(connection, SqlBulkCopyOptions.TableLock, transaction))
            {
                sqlBulkCopy.DestinationTableName = dataTable.TableName;
                foreach (DataColumn column in dataTable.Columns) {
                    sqlBulkCopy.ColumnMappings.Add(column.ColumnName, column.ColumnName);
                }

                sqlBulkCopy.WriteToServer(dataTable);
            }
            transaction.Commit();
        }
        catch (Exception)
        {
            transaction?.Rollback();
            throw;
        }
    }
}

秘密是插入到相同的空白暂存表中。插件快速发光。然后在主大表中运行一个单独的插入。然后截断临时表，为下一批做好准备。

ie.

insert into some_staging_table using Entity Framework.

-- Single insert into main table (this could be a tiny stored proc call)
insert into some_main_already_large_table (columns...)
   select (columns...) from some_staging_table
truncate table some_staging_table