Connect MySQL Database Using Java

To connect to a MySQL database using JDBC, you will need to follow these steps:

1. Load the MySQL JDBC driver class:

Class.forName("com.mysql.cj.jdbc.Driver");

2. Define the database URL, username and password:

String url = "jdbc:mysql://localhost:3306/mydb";
String username = "user";
String password = "password";

3. Create a connection to the database using the DriverManager class:

Connection conn = DriverManager.getConnection(url, username, password);

4. Once you have a connection, you can create a Statement object to execute SQL queries:

Statement stmt = conn.createStatement();

5. Use the Statement object to execute queries:

ResultSet rs = stmt.executeQuery("SELECT * FROM mytable");

Following is an example of how all of these steps can be put together:

import java.sql.*;

public class MySQLJDBCDemo {
   public static void main(String[] args) throws SQLException, ClassNotFoundException {

      // Load the MySQL JDBC driver
      Class.forName("com.mysql.cj.jdbc.Driver");

      // Define the database URL, username and password
      String url = "jdbc:mysql://localhost:3306/mydb";
      String username = "user";
      String password = "password";

      // Create a connection to the database
      Connection conn = DriverManager.getConnection(url, username, password);

      // Create a Statement object to execute queries
      Statement stmt = conn.createStatement();

      // Execute a query and get the result set
      ResultSet rs = stmt.executeQuery("SELECT * FROM mytable");

      // Loop through the result set and print the data
      while (rs.next()) {
         int id = rs.getInt("id");
         String name = rs.getString("name");
         System.out.println("ID: " + id + ", Name: " + name);
      }

      // Close the result set, statement and connection
      rs.close();
      stmt.close();
      conn.close();
   }
}

Note that you will need to replace the database URL, username and password in the above example with the appropriate values for your MySQL database.