Introduction
When working with JPA and Hibernate, developers often encounter the N+1 query problem.
This issue occurs when lazy-loaded associations cause excessive SQL queries, leading to performance bottlenecks.
❌ The Problem: Lazy Loading
Consider the following code:
What happens here?
- First, findAll() executes 1 query to fetch all authors.
- For each author, author.getBooks() triggers another query.
- If you have 100 authors → that’s 1 + 100 = 101 queries!
This is the N+1 query problem.
✅ Solution 1: Use Fetch Joins
With JPQL fetch joins, you can load related entities in a single query.
Now, when you call findAllWithBooks(), Hibernate fetches both authors and their books in one optimized query.
✅ Solution 2: Use @EntityGraph
This tells JPA to eagerly fetch books whenever findAll() is called, reducing the N+1 issue.
✅ Solution 3: Use Custom Projection
Sometimes you don’t need the full entity, only summary data.
Instead of loading all books, fetch only what you need.
This avoids fetching unnecessary data while still giving book counts per author.
🔑 Key Takeaways
- Lazy loading is useful but can cause hidden performance issues.
- Always check your logs (Hibernate shows SQL queries) to spot N+1 problems.
- Use fetch joins or @EntityGraph for eager loading when needed.
- For summaries, use projections instead of fetching entire entities.
🚀 Benefits
- Significant performance improvement by reducing SQL queries.
- Cleaner, more maintainable code with EntityGraph and projections.
- Avoids unnecessary database round-trips.
Conclusion
The N+1 query problem is one of the most common performance pitfalls in JPA/Hibernate.
By applying fetch joins, @EntityGraph, or projections, you can optimize database access and ensure your application scales smoothly.
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