🐌 “My Spring Boot API Became Slow… Until I Learned Pagination & Sorting”
Source: Dev.to

Why Sorting & Pagination Matter
In real applications:
- Databases grow fast
- Fetching everything at once is expensive
- Clients rarely need all data
Sorting and pagination help you:
- Improve performance
- Reduce memory usage
- Deliver faster APIs
- Build scalable systems
This is not optional in production backends.
Sorting Using Method Query Names
Spring Data JPA allows sorting directly in method names.
List findAllByOrderByNameAsc();
List findAllByOrderByNameDesc();
This works well when:
- Sorting logic is fixed
- Requirements are simple
But real applications need dynamic sorting.
Dynamic Sorting with the Sort Class
Sorting with repository methods
List findByDepartment(String department, Sort sort);
This allows clients to decide:
- Which field to sort
- Ascending or descending order
Creating Sort Objects
Sort sort = Sort.by(Sort.Direction.ASC, sortField);
Multiple sorting fields:
Sort sort = Sort.by(
Sort.Order.asc("name"),
Sort.Order.desc("salary")
);
Why Sorting Alone Is Not Enough
Even with sorting:
- Returning thousands of rows is inefficient
- APIs become slower
- Clients struggle to handle large responses
That’s where Pagination comes in.
Understanding Pagination
Key Pagination Concepts
Page
Represents a single chunk of data and also contains:
- Total elements
- Total pages
- Current page data
Pageable
Defines:
- Page number
- Page size
- Sorting rules
PageRequest
A concrete implementation of Pageable used to create pagination objects.
Using Pageable in Repositories
Spring Data JPA makes pagination extremely simple.
Page findAll(Pageable pageable);
Page findByLastName(String lastName, Pageable pageable);
No SQL. No complex logic. Just clean method signatures.
Creating a Pageable Instance
Pageable pageable = PageRequest.of(
pageNumber,
size,
Sort.by("lastName").ascending()
);
With this you control:
- Page size
- Page number
- Sorting
All in one object.
The Mistake I Was Making
I used to:
- Fetch all records
- Sort in memory
- Ignore scalability
It worked… until data increased. After using pagination and sorting:
- APIs became faster
- Memory usage dropped
- Backend felt production‑ready
Final Thoughts
Sorting and pagination are not “extra features”. They are core backend fundamentals. If your Spring Boot APIs feel:
- Slow
- Heavy
- Hard to scale
Start here.
This post is part of my learning-in-public journey while exploring Spring Boot and real‑world backend development.