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How to return a custom object from a Spring Data JPA GROUP BY query

java
dto
lombok
spring-data
Nikita BarsukovbyNikita Barsukov·Jan 21, 2025
TLDR

You can utilize a constructor expression in your JPQL @Query to map the grouped results to your custom Data Transfer Object (DTO) in Spring Data JPA:

// Your friendly neighbourhood DTO public class Summary { // The category we're concerned with private String category; // Count, not the vampire private Long count; // DTO Constructor aka "The Gatherer" public Summary(String category, Long count) { this.category = category; this.count = count; } // Getters and setters code... } // Repository aka "The Oracle" public interface Repo extends JpaRepository<Entity, Long> { // The puzzle master at work @Query("SELECT new package.path.to.Summary(e.category, COUNT(e)) FROM Entity e GROUP BY e.category") List<Summary> groupByCategory(); }

So, remember to craft your Summary DTO with a constructor that mirrors the Group By fields you want, then lob it inside a @Query in your repo to dish out a list of Summary munchies complete with the grouped data.

DTO crafting and interface utilization

Custom object creation - easy as pie

Ensure that your DTO class is properly constructed. Double-check that the constructor and properties are defined for each grouping column present in your JPA query.

The 'new' JPQL keyword - your magic wand

When you're knee-deep in crafting your JPQL queries, remember the 'new' keyword as this allows you to create an instance of your DTO class directly in the query. A worthwhile and nifty trick to keep up your sleeve.

Handling native queries - interface to the rescue

Venturing into the land of native queries? Ensure to adopt interface-based projections. This nifty feature allows a type-safe way to retrieve a subset of the data in your entity.

Mapping the puzzle - A to Z

When your query is done, you'd typically get a List<Object[]>. It's now up to you to translate this into a list of DTOs, ensuring the points meet in terms of constructor order and type.

Caveat for Null instances - don’t step on the Null

Before you dive headfirst into processing your results, do a null check. This will keep your code robust and ready to take on the world.

Code optimization with Lombok and static references - be lazy, the smart way

For trimming your DTOs, Lombok is your best ally — less boilerplate, more stuff that matters. Furthermore, static final strings for property names can be a guiding star for code maintenance.

Deepening understanding with practical examples

PDO, constructor sequence and type - make it count

Be cautious while defining your DTO fields and constructor. You should match the sequence and type with the related columns in your JPQL query.

The Repo way - making things tidy

Enter the @Query at repository level. This allows you to leverage the Spring Data functionality to deal with complex JPQL statements.

The 'new map' keyword - your key to dynamicity

Invoking 'new map' in a JPQL select statement can be a jackpot for creating dynamic key-value pairs within your results.

Relationships and aggregation handling

Are you dealing with complex entity relationships or aggregations? Your crafted query should resonate with your intended structure.

Less code with Lombok

Consider using @Getter from Lombok to eliminate boilerplate code.

Using DTOs > HashMaps

Utilize DTOs over HashMaps for a more type-safe and self-descriptive codebase.