Felpfe Inc.
Close this search box.
call 24/7

+484 237-1364‬

Close this search box.

Working with Spring JDBC

Spring JDBC is a powerful module that provides a convenient way to interact with databases using the Java Database Connectivity (JDBC) API. It simplifies database access by handling common tasks such as connection management, exception handling, and resource cleanup. In this section, we will explore the features and capabilities of Spring JDBC and learn how to use it to implement database connectivity in Spring Boot applications.

Overview of Spring JDBC:
Spring JDBC is built on top of the JDBC API and provides a higher-level abstraction for working with databases. It eliminates the need for boilerplate code, reduces the complexity of database operations, and enhances productivity for developers. Spring JDBC offers several features that simplify database connectivity, including connection management, exception handling, SQL statement execution, result set handling, and transaction management.

Key Features of Spring JDBC:
1. Connection Management:
Spring JDBC handles the management of database connections, including opening and closing connections, connection pooling, and transactional connections. It abstracts the low-level details of working with JDBC connections, making it easier for developers to focus on business logic.

2. Exception Handling:
Spring JDBC provides robust exception handling mechanisms that catch and translate SQLExceptions into more meaningful DataAccessExceptions. It simplifies error handling by encapsulating database-related exceptions into a consistent hierarchy of exceptions that are easier to handle.

3. SQL Statement Execution:
Spring JDBC simplifies the execution of SQL statements by providing the JdbcTemplate class. This class offers a high-level API for executing queries, updates, and stored procedures. It handles parameter binding, result set extraction, and exception handling, making SQL execution more concise and less error-prone.

4. Result Set Handling:
Spring JDBC offers various approaches to handle result sets returned from database queries. It provides RowMapper and ResultSetExtractor interfaces that enable developers to map query results to Java objects. It also supports pagination and provides convenient methods for fetching a specific subset of data from large result sets.

5. Transaction Management:
Spring JDBC integrates seamlessly with Spring’s transaction management capabilities. It allows developers to manage database transactions declaratively using annotations or programmatically using the TransactionTemplate class. Transactions ensure data consistency and atomicity by grouping multiple database operations into a single unit of work.

Using Spring JDBC in a Spring Boot Application:
To work with Spring JDBC in a Spring Boot application, follow these steps:

Step 1: Configure the Data Source:
Configure the database connection details in the application.properties or application.yml file. Spring Boot provides auto-configuration for common databases, or you can manually configure the data source bean.

Step 2: Create Data Access Objects (DAOs):
Create DAO classes that encapsulate the database access logic. These classes should use the JdbcTemplate or NamedParameterJdbcTemplate to execute SQL statements and handle result sets. For example:

public class UserDao {

private final JdbcTemplate jdbcTemplate;

public UserDao(JdbcTemplate jdbcTemplate) {
this.jdbcTemplate = jdbcTemplate;

public List<User> getAllUsers() {
String sql = “SELECT * FROM users”;
return jdbcTemplate.query(sql, new UserRowMapper());

// Other CRUD operations

Step 3: Use DAOs in Services or Controllers:
Inject the DAOs into your service or controller classes and use them to interact with the database. For example:

public class UserService {

private final UserDao userDao;

public UserService(UserDao userDao) {
this.userDao = userDao;

public List<User> getAllUsers() {
return userDao.getAllUsers();

// Other business methods

Spring JDBC simplifies database connectivity in Spring Boot applications by providing a higher-level abstraction over the JDBC API. It handles common database operations such as connection management, exception handling, SQL statement execution

, and result set handling. By using Spring JDBC, developers can focus more on business logic and spend less time dealing with low-level database interactions.

Unleashing The Tech Marvels

Discover a tech enthusiast’s dreamland as our blog takes you on a thrilling journey through the dynamic world of programming. 

More Post like this

About Author
Ozzie Feliciano CTO @ Felpfe Inc.

Ozzie Feliciano is a highly experienced technologist with a remarkable twenty-three years of expertise in the technology industry.

Stream Dream: Diving into Kafka Streams
In “Stream Dream: Diving into Kafka Streams,”...
Talking in Streams: KSQL for the SQL Lovers
“Talking in Streams: KSQL for the SQL Lovers”...
Stream Symphony: Real-time Wizardry with Spring Cloud Stream Orchestration
Description: The blog post, “Stream Symphony:...
Kafka Chronicles: Saga of Resilient Microservices Communication with Spring Cloud Stream
“Kafka Chronicles: Saga of Resilient Microservices...
Tackling Security in Kafka: A Comprehensive Guide on Authentication and Authorization
As the usage of Apache Kafka continues to grow in organizations...
1 2 3 58
90's, 2000's and Today's Hits
Decades of Hits, One Station

Listen to the greatest hits of the 90s, 2000s and Today. Now on TuneIn. Listen while you code.