---
title: "How to Optimize Entity Framework Core Queries for Large Datasets?"  
description: "How to Optimize Entity Framework Core Queries for Large Datasets?"  
author: "Ravi Vishwakarma"  
published: 2024-12-17  
updated: 2025-01-25  
canonical: https://www.mindstick.com/forum/161063/how-to-optimize-entity-framework-core-queries-for-large-datasets  
category: ".net"  
tags: ["c#", "entity framework", ".net core", "programming language"]  
reading_time: 2 minutes  

---

# How to Optimize Entity Framework Core Queries for Large Datasets?

*In my .NET [Core application](https://www.mindstick.com/forum/161364/what-is-cors-and-how-do-you-enable-it-in-a-dot-net-core-application), I often work with [large datasets](https://www.mindstick.com/forum/160125/explain-the-concept-of-data-pagination-in-the-context-of-retrieving-large-datasets-from-a-database) using [EF Core](https://www.mindstick.com/forum/160211/how-to-handle-database-migrations-and-schema-changes-in-a-dot-net-core-api-using-ef-core). [Queries](https://www.mindstick.com/forum/33678/sub-queries-in-sql-server) sometimes take too long, and I've noticed [performance issues](https://www.mindstick.com/forum/160277/how-execution-plan-can-help-identify-query-performance-issues). What are the recommended [techniques](https://www.mindstick.com/articles/13015/5-practical-tips-and-techniques-to-write-an-essay) or patterns to [improve performance](https://www.mindstick.com/forum/160287/how-can-parameterized-stored-procedures-improve-performance-compared-to-dynamic-sql-queries) in such scenarios?*

## Replies

### Reply by Khushi Singh

The performance of **Entity Framework Core (EF Core)** queries designed for [large](https://www.mindstick.com/interview/34471/what-is-a-large-language-model-llm) [datasets](https://www.mindstick.com/articles/13138/tableau-training-the-soul-of-datasets) depends on essential optimization strategies to minimize resource utilization and increase operational speed. Below are key strategies for optimization:

## 1. Only Fetch Necessary Data Through Projections

Do not retrieve entire entities if your [application](https://www.mindstick.com/articles/12824/calculator-application-in-android) needs distinct columns or properties. The Select keyword enables retrieval of essential fields which helps decrease both memory consumption and network traffic volume.

## 2. Enable Asynchronous Queries

Advertisers should use asynchronous methods, such as `ToListAsync FirstOrDefaultAsync` and `SingleOrDefaultAsync`, to stop their web application's main thread from blocking because scalability requirements become essential.

## 3. Filter Data Early

Where clauses allow you to filter data before your system fetches it. Database retrieval with filtering criteria helps extract only important records thus decreasing both memory usage and retrieved dataset size.

## 4. Use Pagination

Large datasets need skip-and-take methods to divide data into pages through pagination techniques. The system avoids complete memory loading because it can handle the entire dataset.

## 5. Avoid N+1 Query Problems

Included and Then Included statements minimize database requests that enable you to preload necessary related data during querying. When relationships are not essential use lazy loading directly with additional preference given to eager loading.

By following these practices, you can significantly improve the performance of EF Core queries when working with large datasets. Always test and benchmark changes to ensure optimization efforts are effective.


---

Original Source: https://www.mindstick.com/forum/161063/how-to-optimize-entity-framework-core-queries-for-large-datasets

Copyright © MindStick Software Pvt. Ltd. This Markdown version is provided for developers, AI systems, and offline reading.