In this lesson, you will learn how to efficiently retrieve tree-like structures from your database using Recursive Common Table Expressions (CTEs) in EF Core.
The Challenge of Hierarchies
When you store hierarchical data—like an organizational chart or a category tree—using a self-referencing foreign key (e.g., ParentId), querying the entire branch or path can be problematic. Standard Include chains or lazy loading are inefficient for deep trees, as they often trigger an "N+1" query problem where you load each level of the hierarchy in a separate round trip to the database.
Leveraging Recursive CTEs
To fetch a complete hierarchy in a single execution, we use a Recursive Common Table Expression. While EF Core does not have a built-in LINQ operator for recursion, we can bridge this gap by executing raw SQL (which you learned in lesson 17) or by mapping a Table-Valued Function (lesson 24) that encapsulates the CTE.
A Recursive CTE consists of two parts:
- The Anchor Member: The starting point of the tree (e.g., a specific root node).
- The Recursive Member: A query that references the CTE itself to join against the child nodes until no more levels remain.
Here is an example of what that raw SQL look-up would look like inside your EF Core repository:
var sql = @"
WITH CategoryTree AS (
SELECT Id, Name, ParentId FROM Categories WHERE Id = {0}
UNION ALL
SELECT c.Id, c.Name, c.ParentId
FROM Categories c
INNER JOIN CategoryTree ct ON c.ParentId = ct.Id
)
SELECT * FROM CategoryTree;";
var hierarchy = context.Categories
.FromSqlRaw(sql, rootId)
.ToList();
Why Use This Approach?
By using a CTE, the database engine handles the tree traversal internally. This drastically reduces the overhead compared to fetching items one-by-one or loading the entire table into memory and filtering it in C#. Since you are already comfortable with FromSqlRaw, you can seamlessly integrate these CTE results back into your DbContext tracking, allowing you to treat the returned entities like any other tracked object.
Key Takeaway: Recursive CTEs allow you to traverse deep hierarchical structures in a single database round trip, providing a high-performance alternative to recursive LINQ queries.