Entity Framework is not efficient in any case as in most tools or toolboxes designed to achieve ‘faster’ results. At Ablison.com, we believe in providing our readers with useful information and education on a multitude of topics. However, please note that the content provided on our website is for informational and educational purposes only, and should not be considered as professional financial or legal advice. If you require such advice, we recommend consulting a licensed financial or tax advisor. One approach is to use data caching, which involves storing frequently accessed data in memory so it can be retrieved more quickly. You’ll learn how to troubleshoot common issues in this section, so you can avoid spinning your wheels and get back on track with your LINQ queries.
To change this behavior and optimize batch updates, you can take advantage of the UpdateRange() method as shown in the code snippet given below. In other words, EF Core lets you write code to execute CRUD actions (create, read, update, and delete) without understanding how the data is persisted in the underlying database. You can more easily retrieve entities from the data store, add, change, and delete entities, and traverse entity what is entity framework graphs by working directly in C#. As a result of this, having knowledge of when/how your application starts up can be really important. Reducing this startup time could therefore have a large financial benefit as it would spend less time instantiating the context. The intention, here, is to investigate the performance benefit of upgrading an existing project to EF Core 6 & using compiled models, for a project with a large schema.
How should you handle errors in your code?
The pros/cons presented here are not all inclusive, and may or may not be issues depending on what you are trying to do. Users seems to agree that it is a wonderful prototyping tool when your dataset is small. Once it is bigger and more customization is desired, there seem to be more issues with the technology to consider in determining if it is the right tool for you. When using class models, some people say that Entity Framework includes additional unnecessary data which makes the class sizes bigger.
- Because EF Core is adept at automatically loading related entities from the database when accessed by your code, lazy loading seems like a nice feature.
- Additionally, the learning curve can be steep for those who are new to the framework.
- Functionality here is more suited to models with lots of entity types, properties, and relationships which would otherwise operate very slowly.
- As a result, instead of using a single vast data context, you should break the data context into numerous smaller data contexts.
- If you’re looking to bypass Entity Framework and write raw SQL queries in your code, there are both advantages and disadvantages to consider.
The code snippet given below shows how you can retrieve entities directly from the database for read-only purposes, without tracking and without loading them into the memory. By following the steps outlined in part 2, we enabled compiled models on this project and were ready to test the impact. Optimistic Concurrency is also defaulted to prevent overwriting of changes made by another user after data is retrieved from the database. By doing so, you are ensuring that the record being updated or deleted still contains the same values as it did when the process started. Like any other application, even those built with C# would require a database and would benefit a lot from it. And to perform CRUD operations via the application efficiently, we would need the help of Entity Framework.
Tools and extensions – Entity Framework EF6
It is faster than Entity Framework as it allows you to write raw queries as well unlike Entity Framework. It does not provide the full features of an ORM and that is the reason it is also called as ‘’Micro ORM” but the querying and updating the database https://deveducation.com/ is possible through raw SQL. It allows you to pass the IEnumerable list and it will parametrize the query. As you can see from the table above, using the LINQ syntax makes it easier to write concise and readable code, helping you save time and effort.