Fixing the JPA “Could Not Determine Recommended JdbcType for Class” Error
When working with Hibernate and Jakarta Persistence API (JPA), you might encounter the error: Could not determine recommended JdbcType for Class. This error typically occurs when Hibernate is unable to map a Java type to a corresponding JDBC type. In this article, we will explore how to resolve this issue.
1. Problem Statement
We have an Orders
entity class that contains a list of Product
objects. The Product
class is not an entity, and we want to store this list in JSON format in a MySQL database.
Here is the Order
entity:
@Entity public class Orders implements Serializable { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) Long id; @Column(columnDefinition = "json") private Map<String, Product> products; public Long getId() { return id; } public void setId(Long id) { this.id = id; } public Map<String, Product> getProducts() { return products; } public void setProducts(Map<String, Product> products) { this.products = products; } }
And the Product
class:
public class Product { String productName; String category; int quantity; BigDecimal price; // Getters and setters }
And here is the SQL Table for Order
s
CREATE TABLE `Orders` ( id BIGINT AUTO_INCREMENT PRIMARY KEY, products JSON );
Here is our main class:
public class HibernateJpaExample { public static void main(String[] args) { EntityManagerFactory emf = Persistence.createEntityManagerFactory("jpaexample-unit"); EntityManager em = emf.createEntityManager(); em.getTransaction().begin(); Product product1 = new Product(); product1.setProductName("Laptop"); product1.setCategory("Electronics"); product1.setQuantity(10); product1.setPrice(new BigDecimal("999.99")); Product product2 = new Product(); product2.setProductName("Mouse"); product2.setCategory("Accessories"); product2.setQuantity(50); product2.setPrice(new BigDecimal("19.99")); Map<String, Product> firstOrder = new HashMap<>(); firstOrder.put("product1", product1); Map<String, Product> secondOrder = new HashMap<>(); secondOrder.put("product2", product2); Orders order = new Orders(); order.setProducts(firstOrder); Orders order1 = new Orders(); order1.setProducts(secondOrder); em.persist(order); em.persist(order1); em.getTransaction().commit(); em.close(); emf.close(); } }
When you run the application, you encounter the following exception:
Exception in thread "main" org.hibernate.type.descriptor.java.spi.JdbcTypeRecommendationException: Could not determine recommended JdbcType for Java type 'java.util.Map<java.lang.String, com.jcg.Product>' at org.hibernate.type.descriptor.java.spi.UnknownBasicJavaType.getRecommendedJdbcType(UnknownBasicJavaType.java:50)
2. Solution
To resolve this issue, we can use the @JdbcTypeCode
annotation from Hibernate to specify that the products
field should be stored as a JSON column. This involves configuring Hibernate to recognize the JSON type and converting the product
list to JSON format when persisting and retrieving data.
We would also need to add the Jackson Library to the project for JSON Column Handling. When using Hibernate Types to handle JSON columns in the database, Jackson is used internally for converting Java objects to JSON strings and JSON strings to Java objects. This ensures that the @JdbcTypeCode
annotation with SqlTypes.JSON
works seamlessly.
First, ensure you have the necessary dependencies in the pom.xml
file:
<dependency> <groupId>org.hibernate.orm</groupId> <artifactId>hibernate-core</artifactId> <version>6.5.2.Final</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-databind</artifactId> <version>2.17.2</version> </dependency>
Update Entity Class:
Next, Use the @JdbcTypeCode
annotation to specify the JSON type for the products
field.
@Entity public class Orders implements Serializable { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) Long id; @Column(columnDefinition = "JSON") @JdbcTypeCode(SqlTypes.JSON) private Map<String, Product> products; public Long getId() { return id; } public void setId(Long id) { this.id = id; } public Map getProducts() { return products; } public void setProducts(Map products) { this.products = products; } }
In this Orders
class, the products
field is annotated with @Column(columnDefinition = "JSON")
and @JdbcTypeCode(SqlTypes.JSON)
. This setup instructs Hibernate to handle the products
field as a JSON column in the database.
When the Orders
entity is persisted, Hibernate will automatically convert the list of Product
objects into a JSON string and store it in the products
column of the database table. Conversely, when an Orders
entity is retrieved from the database, Hibernate will convert the JSON string back into a list of Product
objects.
2.1 Expected Output
During the application’s execution, Hibernate will output the following SQL statements to the console if the hibernate.show_sql
property has been set to true
in the persistence.xml
file. You will see SQL commands such as:
Hibernate: insert into Orders (products) values (cast(? as json)) Hibernate: insert into Orders (products) values (cast(? as json)) Hibernate: update Orders set products=cast(? as json) where id=? Hibernate: update Orders set products=cast(? as json) where id=?
These statements indicate that the Orders
entity is being inserted into the database, with the products
field being stored as a JSON string.
In the MySQL database, the Orders
table will have new rows representing the inserted Orders
entity. The products
column will contain a JSON string representing the list of Product
objects. For example, if we run the following SQL statement:
SELECT * FROM `Order`;
This query returns:
This output shows that the Orders
entity was successfully persisted with its products
field correctly stored as a JSON string in the database.
3. Conclusion
In this article, we explored the “Could Not Determine Recommended JdbcType for Class” error in JPA. Through an example, we demonstrated how to reproduce this error and provided a solution to resolve it. Understanding and addressing these issues ensures our JPA and Hibernate applications function smoothly, reducing runtime errors and improving data integrity.
4. Download the Source Code
This article addresses the ‘JPA could not determine recommended JdbcType for class’ error.
You can download the full source code of this example here: jpa could not determine recommended jdbctype for class