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What is JPQL?

Learn What is JPQL? with simple explanations, real-time examples, interview tips and practical use cases.

What is JPQL in JPA?

JPQL stands for:

Java Persistence Query Language

JPQL is a query language used in JPA to fetch and manipulate data from the database using entity objects instead of table names.

In simple words:

“JPQL allows developers to write database queries using Java entity classes rather than SQL tables.”

Why JPQL is Needed

In traditional SQL:

  • Queries are written using table names
  • Column names are used directly
  • Database-specific syntax may vary

JPQL solves these problems by:

  • Using entity names instead of table names
  • Using object-oriented queries
  • Providing database independence

Simple Real-Time Example

Suppose:

  • Student entity maps to students table

SQL query:

SELECT * FROM students;

Equivalent JPQL query:

SELECT s FROM Student s

Main Difference Between SQL and JPQL

Feature SQL JPQL
Works On Database tables Entity classes
Uses Table names Entity names
Database Dependent Yes No
Object-Oriented No Yes

Entity Example

@Entity
public class Student {

    @Id
    private Long id;

    private String name;

    private String email;
}

Basic JPQL Query Example

SELECT s FROM Student s

Here:

  • Student → Entity class
  • s → Alias

How JPQL Works Internally

  1. Developer writes JPQL query
  2. Hibernate converts JPQL to SQL
  3. Database executes generated SQL
  4. Results are mapped to entities

Generated SQL Example

JPQL:

SELECT s FROM Student s

Hibernate generates:

SELECT *
FROM students

Using JPQL in Spring Boot

JPQL is commonly used with:

  • @Query annotation
  • EntityManager

@Query Example

@Query("SELECT s FROM Student s")
List<Student> getAllStudents();

Find by Condition Example

@Query("""
SELECT s
FROM Student s
WHERE s.name = :name
""")
List<Student> findByName(String name);

Generated SQL

SELECT *
FROM students
WHERE name = ?

JPQL SELECT Query

Used to retrieve entity data.


Example

SELECT s FROM Student s

JPQL WHERE Clause

Used to filter data.


Example

SELECT s
FROM Student s
WHERE s.email = :email

JPQL ORDER BY Clause

Used to sort results.


Example

SELECT s
FROM Student s
ORDER BY s.name ASC

JPQL GROUP BY Clause

Used for grouping records.


Example

SELECT s.department,
COUNT(s)
FROM Student s
GROUP BY s.department

JPQL JOIN Query

JPQL supports entity relationships and joins.


JOIN Example

SELECT o
FROM Order o
JOIN o.customer c
WHERE c.name = :name

Generated SQL

SELECT o.*
FROM orders o
JOIN customers c
ON o.customer_id = c.id
WHERE c.name = ?

JPQL FETCH JOIN

FETCH JOIN loads related entities immediately.


FETCH JOIN Example

SELECT c
FROM Customer c
JOIN FETCH c.orders

Why FETCH JOIN is Useful

It helps avoid:

  • N+1 query problem
  • Excessive lazy loading queries

JPQL Named Parameters

JPQL supports named parameters using:

:parameterName

Example

@Query("""
SELECT s
FROM Student s
WHERE s.name = :name
""")
Student findByName(
        @Param("name") String name
);

JPQL Positional Parameters

JPQL also supports positional parameters.


Example

@Query("""
SELECT s
FROM Student s
WHERE s.name = ?1
""")
Student findByName(String name);

JPQL UPDATE Query

Used to update records.


Example

@Modifying
@Query("""
UPDATE Student s
SET s.name = :name
WHERE s.id = :id
""")
void updateStudentName(
        Long id,
        String name
);

JPQL DELETE Query

Used to delete records.


Example

@Modifying
@Query("""
DELETE
FROM Student s
WHERE s.id = :id
""")
void deleteStudent(Long id);

JPQL Aggregate Functions

JPQL supports functions such as:

  • COUNT()
  • SUM()
  • AVG()
  • MIN()
  • MAX()

COUNT Example

SELECT COUNT(s)
FROM Student s

JPQL Pagination Example

Pageable pageable =
        PageRequest.of(0, 10);

studentRepository.findAll(pageable);

Advantages of JPQL

  • Database independent
  • Object-oriented queries
  • Supports entity relationships
  • Readable and maintainable
  • Integrated with Hibernate

Disadvantages of JPQL

  • Complex queries can become difficult
  • Limited compared to native SQL
  • Performance tuning may be harder

Difference Between JPQL and Native SQL

Feature JPQL Native SQL
Uses Entities Tables
Database Independence Yes No
Complex SQL Features Limited Full support
Portability High Lower

Real-Time Example in E-Commerce Application

E-commerce application contains:

  • Customers
  • Orders
  • Products

JPQL helps:

  • Fetch customer orders
  • Generate reports
  • Perform filtering and searching

Best Practices for JPQL

  • Use meaningful aliases
  • Prefer named parameters
  • Use FETCH JOIN carefully
  • Optimize complex queries
  • Use pagination for large datasets

Common Interview Questions on JPQL

What is JPQL?

JPQL is an object-oriented query language used in JPA.

What is the difference between SQL and JPQL?

SQL uses table names, while JPQL uses entity classes.

What is FETCH JOIN?

FETCH JOIN loads related entities immediately.

Can JPQL perform UPDATE and DELETE operations?

Yes.

What are named parameters in JPQL?

Parameters prefixed with colon (:).


Conclusion

JPQL is one of the most important features in JPA and Hibernate.

It allows developers to:

  • Write object-oriented database queries
  • Use entity relationships easily
  • Build database-independent applications
  • Reduce manual SQL coding

Understanding JPQL is essential for Spring Boot developers because enterprise applications heavily rely on efficient querying, filtering, reporting, and relationship handling.

Proper use of JPQL improves:

  • Maintainability
  • Scalability
  • Performance optimization
  • Developer productivity

Why this Spring Boot question is important?

This interview question helps candidates understand real-time backend development concepts, practical problem solving, coding fundamentals, system design basics and production-ready application behavior.

Practice this question carefully for Java backend roles, Spring Boot developer interviews, microservices interviews, company interviews and full-stack developer preparation.

About the Author

Naresh Kumar is a Senior Java Backend Engineer with experience building enterprise applications using Java, Spring Boot, Microservices, Docker, Kubernetes and Cloud technologies.