How can you improve the performance of Entity Framework queries when dealing with large datasets?
- By avoiding eager loading
- By disabling lazy loading
- By increasing database server memory
- By using pagination
Disabling lazy loading can improve the performance of Entity Framework queries when dealing with large datasets. Lazy loading is the default behavior in Entity Framework, where related entities are loaded from the database only when they are accessed for the first time. This can lead to numerous database round-trips when dealing with large datasets, resulting in poor performance. By disabling lazy loading, all related entities are eagerly loaded along with the main entity, reducing the number of database round-trips and improving query performance. However, it's essential to consider the trade-offs, such as increased memory usage, when disabling lazy loading.
Loading...
Related Quiz
- When using the SqlDataAdapter to fill a dataset, what SQL statement is typically provided to retrieve data?
- Data binding in WinForms allows you to establish a link between a data source and a ___________ control.
- Scenario: You want to improve the performance of your ADO.NET application. What feature of ADO.NET can you leverage to reduce the overhead of opening and closing database connections?
- When optimizing LINQ queries, using the ___________ method can help in reducing the number of database round trips.
- When dealing with complex inheritance scenarios in Entity Framework, which mapping strategy can be used to map entities to multiple related tables?