Mastering the @Query Annotation in Java Spring: A Complete Guide for Beginners

1. Introduction to the Query Annotation in Spring Data JPA

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1. Introduction to the Query Annotation in Spring Data JPA

When working with Java beginners tutorials for Spring Boot, method name derivation is often the first approach to finding records. However, as applications grow, method names can become long and difficult to read. The @Query annotation solves this by letting developers write custom Jakarta Persistence Query Language (JPQL) or native SQL directly inside repository interfaces. It bridges the gap between Java programming basics and advanced database interaction.

For Java tutorial for beginners, think of @Query as writing a custom SQL command tailored specifically to fetch exact datasets without relying on automated naming rules. It provides maximum flexibility when optimizing performance or performing complex joins across multiple relational tables.

2. Writing Basic JPQL Queries with Query

2. Writing Basic JPQL Queries with Query

JPQL operates on entity objects rather than raw database tables. Let us look at a simple repository example that uses the @Query annotation to select user records by email domain.

package com.example.demo.repository;

import com.example.demo.model.UserProfile;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.query.Param;
import java.util.List;

public interface UserProfileRepository extends JpaRepository<UserProfile, Long> {

    @Query("SELECT u FROM UserProfile u WHERE u.email LIKE %:domain")
    List<UserProfile> findUsersByEmailDomain(@Param("domain") String domain);
}

In this code sample, the JPQL statement references the entity class UserProfile using the alias u. The named parameter matching via @Param safely injects runtime values into the query.

3. Using Native SQL Queries in Spring Repositories

3. Using Native SQL Queries in Spring Repositories

Sometimes you need to execute database-specific SQL features that JPQL does not support. You can set the nativeQuery attribute to true inside the @Query annotation to run raw SQL statements.

package com.example.demo.repository;

import com.example.demo.model.ProductItem;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.query.Param;
import java.util.List;

public interface ProductItemRepository extends JpaRepository<ProductItem, Long> {

    @Query(value = "SELECT * FROM product_item WHERE price < :maxPrice", nativeQuery = true)
    List<ProductItem> findAffordableProducts(@Param("maxPrice") double maxPrice);
}

Setting nativeQuery = true bypasses JPQL parsing, allowing you to target actual table and column names directly as defined in your relational database engine.

4. Performing Modifying Updates and Deletes

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4. Performing Modifying Updates and Deletes

By default, @Query is used for read operations. When you need to execute update or delete statements that modify database state, you must combine @Query with the @Modifying annotation.

package com.example.demo.repository;

import com.example.demo.model.StoreOrder;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.Modifying;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.query.Param;
import org.springframework.transaction.annotation.Transactional;

public interface StoreOrderRepository extends JpaRepository<StoreOrder, Long> {

    @Transactional
    @Modifying
    @Query("UPDATE StoreOrder o SET o.customerName = :newName WHERE o.id = :orderId")
    int updateCustomerNameForOrder(@Param("orderId") Long orderId, @Param("newName") String newName);
}

Combining @Modifying and @Transactional ensures that state-changing queries execute properly within an active transaction context and return the updated row count.

5. Handling Pagination and Sorting with Custom Queries

5. Handling Pagination and Sorting with Custom Queries

Spring Data JPA allows you to pass a Pageable parameter directly into methods annotated with @Query, making it simple to implement efficient pagination for large datasets.

package com.example.demo.repository;

import com.example.demo.model.SecureTokenRecord;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.Query;

public interface SecureTokenRepository extends JpaRepository<SecureTokenRecord, String> {

    @Query("SELECT t FROM SecureTokenRecord t WHERE t.description IS NOT NULL")
    Page<SecureTokenRecord> findAllWithDescription(Pageable pageable);
}

Integrating Pageable with your custom query handles limits, offsets, and dynamic sorting automatically without extra coding effort.

6. Verifying Query Execution Logs in Spring Boot

6. Verifying Query Execution Logs in Spring Boot

Inspecting console logs during application startup and runtime helps confirm that Spring successfully parses and validates your custom query configurations.

2026-07-13 14:01:34.000 INFO --- [main] org.hibernate.jpa.internal.util.LogHelper : HHH000204: Processing PersistenceUnitInfo [name: default]
2026-07-13 14:01:34.200 INFO --- [main] o.s.data.jpa.repository.query.JpaQueryMethod : Parsed query method [findUsersByEmailDomain] successfully
2026-07-13 14:01:34.500 INFO --- [main] o.s.b.w.embedded.tomcat.TomcatWebServer  : Tomcat started on port 8080 (http)

Observing successful parsing logs verifies that your JPQL or native SQL syntax aligns with your entity structures and database driver setup.

Summary

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Summary

Throughout this comprehensive guide, we have explored the essential mechanics and advanced features of the @Query annotation in Java Spring and Spring Data JPA. For beginners diving into Java programming basics and building backend persistence layers for Spring Boot, understanding when and how to implement custom queries is an important milestone. We discussed how standard method name derivation works for simple retrievals, but when applications demand complex conditions, joins, or tailored performance optimizations, @Query provides the exact flexibility required. We learned how to write standard JPQL targeting entity attributes, execute database-specific native SQL queries by setting the nativeQuery flag, and manage data mutation operations safely using the @Modifying and @Transactional annotations together.

Furthermore, we examined how to integrate pagination effortlessly by passing Pageable parameters directly into our custom repository queries, ensuring that large datasets load efficiently without exhausting application memory. By adhering to these standard architectural patterns and validating execution logs upon startup, developers can maintain robust and high-performing database interactions in enterprise-grade Spring applications.

package com.example.demo.repository;

import com.example.demo.model.SummarySystemRecord;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.query.Param;
import java.util.Optional;

public interface SummaryRecordRepository extends JpaRepository<SummarySystemRecord, Long> {

    @Query("SELECT r FROM SummarySystemRecord r WHERE r.id = :recordId")
    Optional<SummarySystemRecord> findRecordByIdCustom(@Param("recordId") Long recordId);
}