In LINQ (Language-Integrated Query), eager loading and lazy loading are two different approaches to retrieving related data from a data source, such as a database, when using LINQ to SQL or LINQ to Entities.
Eager Loading: Eager loading is a technique where all the related data is loaded from the data source in a single query, along with the main entities being queried. It retrieves all the required data upfront, reducing the number of database round trips. Eager loading is useful when you know in advance that you will need the related data and want to minimize the performance impact caused by additional database queries.
For example, suppose you have a database with two tables, "Orders" and "Customers," and there is a relationship between them. By using eager loading, you can load the orders and their associated customers in a single query, ensuring that all the necessary data is retrieved at once.
Lazy Loading: Lazy loading is an alternative approach where the related data is not immediately loaded when querying the main entities. Instead, the related data is loaded on-demand, as it is accessed or requested. Lazy loading allows you to retrieve the related data only when it is needed, reducing the initial loading time and improving performance for scenarios where not all related data is required.
Using the same example as before, with lazy loading, when you retrieve the orders from the database, the customer data will not be loaded immediately. It will be loaded from the database only when you try to access the customer information for a specific order.
Lazy loading can be convenient when dealing with large data sets or when you want to minimize the amount of data initially loaded. However, it can also lead to additional database queries being executed, which may impact performance if not managed properly.
It's worth noting that the ability to use eager loading or lazy loading depends on the specific LINQ provider and its capabilities. For example, LINQ to SQL and Entity Framework support both eager loading and lazy loading, but the exact implementation may vary. Additionally, lazy loading often requires the use of proxy objects that dynamically load the related data when accessed.
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