Java Database Connectivity (JDBC)

This post is part of our Java Programming: A Comprehensive Guide for Beginners series.

Database connectivity and persistence are integral parts of many Java applications. JDBC provides a low-level API for interacting with databases, while JPA simplifies database access by providing an object-oriented abstraction. In this chapter, you've learned the basics of JDBC, explored JPA for object-relational mapping, and covered best practices for database connectivity and persistence. As you continue your journey in Java development, a strong understanding of these concepts will empower you to build robust and efficient database-backed applications.

9.1 Introduction to JDBC

Java Database Connectivity (JDBC) is a Java-based API that enables Java applications to interact with relational databases. It provides a standard interface for connecting to databases, executing SQL queries, and processing the results. This chapter explores the fundamentals of JDBC, covering topics such as database connections, SQL operations, and transaction management.

9.2 JDBC Architecture

JDBC follows a layered architecture, consisting of the following key components:
  • JDBC API: The core API that provides interfaces and classes for database connectivity. It includes interfaces like Connection, Statement, and ResultSet.
  • JDBC Driver Manager: A part of the JDBC API that manages a list of database drivers. It selects an appropriate driver from the list to establish a database connection.
  • JDBC Driver: A platform-specific implementation of the JDBC API, enabling communication between Java applications and a particular database.
  • Database: The relational database management system (RDBMS) with which the Java application communicates.

9.3 Establishing Database Connections

Connecting to a database is the first step in using JDBC. The DriverManager class is responsible for managing a list of database drivers, and it is used to establish a connection to the database.

Example: Connecting to a Database
// Example: Connecting to a Database
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;

public class DatabaseConnectionExample {

public static void main(String[] args) {
// JDBC URL, username, and password of MySQL server
String url = "jdbc:mysql://localhost:3306/mydatabase";
String user = "root";
String password = "password";
try {
// Establish a connection
Connection connection = DriverManager.getConnection(url, user, password);
System.out.println("Connected to the database!");

// Perform database operations

// Close the connection
connection.close();
System.out.println("Connection closed.");
} catch (SQLException e) {
e.printStackTrace();
}
}
}

In this example, a connection is established to a MySQL database using the JDBC URL, username, and password.

9.4 Executing SQL Queries

JDBC provides interfaces such as Statement and PreparedStatement for executing SQL queries. The Statement interface is used for simple queries, while PreparedStatement is preferred for parameterized queries to prevent SQL injection.

Example: Executing SQL Queries
// Example: Executing SQL Queries
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;

public class SqlQueryExample {

public static void main(String[] args) {
// JDBC URL, username, and password of MySQL server
String url = "jdbc:mysql://localhost:3306/mydatabase";
String user = "root";
String password = "password";
try (Connection connection = DriverManager.getConnection(url, user, password)) {
// Create a statement
Statement statement = connection.createStatement();
// Execute a simple query
ResultSet resultSet = statement.executeQuery("SELECT * FROM employees");
// Process the result set
while (resultSet.next()) {
System.out.println("Employee ID: " + resultSet.getInt("employee_id"));
System.out.println("Name: " + resultSet.getString("name"));
System.out.println("Salary: " + resultSet.getDouble("salary"));
System.out.println("------------------------");
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}

In this example, a simple SQL query is executed to retrieve employee data from a table. The result set is then processed to display the information.

9.5 Parameterized Queries and Prepared Statements

To execute parameterized queries safely and efficiently, JDBC provides the PreparedStatement interface. This helps prevent SQL injection attacks and improves performance by allowing the database to cache the query plan.

Example: Using Prepared Statements
// Example: Using Prepared Statements
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;

public class PreparedStatementExample {

public static void main(String[] args) {
// JDBC URL, username, and password of MySQL server
String url = "jdbc:mysql://localhost:3306/mydatabase";
String user = "root";
String password = "password";
try (Connection connection = DriverManager.getConnection(url, user, password)) {
// Create a prepared statement with parameters
String sql = "SELECT * FROM employees WHERE department = ?";
PreparedStatement preparedStatement = connection.prepareStatement(sql);

// Set parameter values
preparedStatement.setString(1, "IT");

// Execute the query
ResultSet resultSet = preparedStatement.executeQuery();

// Process the result set
while (resultSet.next()) {
System.out.println("Employee ID: " + resultSet.getInt("employee_id"));
System.out.println("Name: " + resultSet.getString("name"));
System.out.println("Salary: " + resultSet.getDouble("salary"));
System.out.println("------------------------");
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}


In this example, a parameterized query is executed using a PreparedStatement to retrieve employees from a specific department.

9.6 Handling Transactions

JDBC supports transactions, which are sequences of one or more SQL statements that are executed as a single unit of work. Transactions ensure data consistency by allowing multiple statements to be executed atomically.

Example: Handling Transactions
// Example: Handling Transactions
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;

public class TransactionExample {

public static void main(String[] args) {
// JDBC URL, username, and password of MySQL server
String url = "jdbc:mysql://localhost:3306/mydatabase";
String user = "root";
String password = "password";
try (
Connection connection = DriverManager.getConnection(url, user, password)
) {
// Disable auto-commit to start a transaction
connection.setAutoCommit(false);

try {
// Perform multiple SQL operations within the transaction
updateSalary(connection, 101, 5000);
updateSalary(connection, 102, 5500);

// Commit the transaction if all operations succeed
connection.commit();
System.out.println("Transaction committed.");
} catch (SQLException e) {
// Rollback the transaction in case of any exception
connection.rollback();
System.out.println("Transaction rolled back.");
e.printStackTrace();
} finally {
// Enable auto-commit for subsequent operations
connection.setAutoCommit(true);
}
} catch (SQLException e) {
e.printStackTrace();
}
}

private static void updateSalary(
Connection connection,
int employeeId,
double newSalary
) throws SQLException {
String sql = "UPDATE employees SET salary = ? WHERE employee_id = ?";
try (
PreparedStatement preparedStatement = connection.prepareStatement(sql)
) {
preparedStatement.setDouble(1, newSalary);
preparedStatement.setInt(2, employeeId);
preparedStatement.executeUpdate();
}
}
}

In this example, a transaction is initiated by disabling auto-commit. Multiple SQL operations are performed within the transaction, and the transaction is either committed or rolled back based on the success of the operations.

9.7 Batch Processing

JDBC supports batch processing, allowing multiple SQL statements to be grouped and executed together. This can significantly improve performance by reducing the number of round-trips between the application and the database.

Example: Batch Processing

// Example: Batch Processing
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;

public class BatchProcessingExample {

public static void main(String[] args) {
// JDBC URL, username, and password of MySQL server
String url = "jdbc:mysql://localhost:3306/mydatabase";
String user = "root";
String password = "password";
try (Connection connection = DriverManager.getConnection(url, user, password)) {
// Create a prepared statement for batch processing
String sql = "INSERT INTO employees (name, salary) VALUES (?, ?)";
try (PreparedStatement preparedStatement = connection.prepareStatement(sql)) {
// Add multiple statements to the batch
preparedStatement.setString(1, "John");
preparedStatement.setDouble(2, 6000);
preparedStatement.addBatch();
preparedStatement.setString(1, "Jane");
preparedStatement.setDouble(2, 7000);
preparedStatement.addBatch();
// Execute the batch
int[] result = preparedStatement.executeBatch();
// Process the result (optional)
for (int count : result) {
System.out.println("Rows affected: " + count);
}
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}

In this example, two insert statements are added to a batch and executed together, improving performance compared to executing them individually.

9.8 Handling Data Retrieval with ResultSet

The ResultSet interface in JDBC provides methods for retrieving data from the database after executing a query. It allows navigation through the result set and extraction of data.

Example: Handling Data Retrieval with ResultSet
// Example: Handling Data Retrieval with ResultSet
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;

public class ResultSetExample {

public static void main(String[] args) {
// JDBC URL, username, and password of MySQL server
String url = "jdbc:mysql://localhost:3306/mydatabase";
String user = "root";
String password = "password";
try (Connection connection = DriverManager.getConnection(url, user, password)) {
// Create a statement
Statement statement = connection.createStatement();

// Execute a query
ResultSet resultSet = statement.executeQuery("SELECT * FROM employees");

// Process the result set
while (resultSet.next()) {
System.out.println("Employee ID: " + resultSet.getInt("employee_id"));
System.out.println("Name: " + resultSet.getString("name"));
System.out.println("Salary: " + resultSet.getDouble("salary"));
System.out.println("------------------------");
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}

In this example, a simple query retrieves data from the "employees" table, and the result set is processed to display the information.

9.9 Advanced JDBC Concepts

9.9.1 CallableStatement for Stored Procedures

JDBC provides the CallableStatement interface for calling stored procedures in the database. Stored procedures are precompiled SQL routines that can be executed with parameters.

Example: Calling a Stored Procedure
// Example: Calling a Stored Procedure
import java.sql.CallableStatement;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.Types;

public class CallableStatementExample {

public static void main(String[] args) {
// JDBC URL, username, and password of MySQL server
String url = "jdbc:mysql://localhost:3306/mydatabase";
String user = "root";
String password = "password";
try (Connection connection = DriverManager.getConnection(url, user, password)) {
// Prepare a callable statement for calling a stored procedure
String sql = "{CALL get_employee_name(?, ?)}";
try (CallableStatement callableStatement = connection.prepareCall(sql)) {
// Set input parameter
callableStatement.setInt(1, 101);

// Register output parameter
callableStatement.registerOutParameter(2, Types.VARCHAR);

// Execute the stored procedure
callableStatement.execute();

// Retrieve the output parameter
String employeeName = callableStatement.getString(2);
System.out.println("Employee Name: " + employeeName);
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}

In this example, a stored procedure called get_employee_name is called with an input parameter, and the output parameter is retrieved.

9.9.2 Connection Pooling

Connection pooling is a technique used to manage and reuse database connections, improving performance and resource utilization. It involves creating a pool of database connections that can be shared among multiple clients.

Example: Using Connection Pooling with HikariCP
// Example: Using Connection Pooling with HikariCP
import com.zaxxer.hikari.HikariConfig;
import com.zaxxer.hikari.HikariDataSource;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;

public class ConnectionPoolingExample {

public static void main(String[] args) {
// Configure HikariCP connection pool
HikariConfig config = new HikariConfig();
config.setJdbcUrl("jdbc:mysql://localhost:3306/mydatabase");
config.setUsername("root");
config.setPassword("password");
config.setMaximumPoolSize(10);
try (HikariDataSource dataSource = new HikariDataSource(config)) {
// Use the connection pool
try (Connection connection = dataSource.getConnection()) {
String sql = "INSERT INTO employees (name, salary) VALUES (?, ?)";
try (PreparedStatement preparedStatement = connection.prepareStatement(sql)) {
preparedStatement.setString(1, "New Employee");
preparedStatement.setDouble(2, 8000);
preparedStatement.executeUpdate();
System.out.println("Employee added successfully.");
}
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}

In this example, the HikariCP library is used for connection pooling. The pool is configured, and connections are obtained and released from the pool.

9.10 Best Practices for Database Connectivity and Persistence

  • Use Connection Pooling: Use a connection pool to efficiently manage and reuse database connections.
  • Use PreparedStatement: When using JDBC, prefer PreparedStatement over Statement to prevent SQL injection and improve performance.
  • Handle Transactions Carefully: Understand transaction boundaries and handle transactions appropriately to ensure data consistency.
  • Use ORM Frameworks Wisely: Consider using ORM frameworks like Hibernate or Spring Data JPA for complex applications, as they simplify database interactions.
  • Optimize Queries: Write efficient SQL queries, use indexes, and optimize database schema for better performance.
  • Secure Input Data: Always validate and sanitize user input to prevent SQL injection attacks.
  • Monitor Database Connections: Monitor and manage database connections to avoid resource leaks and optimize performance.

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