High-performance database search practice sharing driven by Java technology

Sharing of high-performance database search practices driven by Java technology

Abstract: As the amount of data continues to grow, high-performance database search is becoming more and more important. This article will introduce how to use Java technology to implement high-performance database search, and provide specific code examples to help readers better understand and apply.

Introduction: In the era of modern information technology, the importance of data is self-evident. Massive amounts of data are stored in databases, and efficient search in the database is a core technology that developers are concerned about. This article will introduce how to use Java technology to implement high-performance database search, and conduct specific operations through examples.

1. Use Java to connect to the database
In Java, you can use JDBC (Java Database Connectivity) technology to connect and operate the database. The following is a simple code example for using JDBC to connect to the database:

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;

public class DatabaseConnection {
    public static void main(String[] args) {
        String url = "jdbc:mysql://localhost:3306/mydb"; // 数据库地址
        String username = "root"; // 用户名
        String password = "password"; // 密码

        Connection connection = null;
        try {
            connection = DriverManager.getConnection(url, username, password);
            System.out.println("Connect to database successfully!");
        } catch (SQLException e) {
            System.out.println("Connect to database failed!");
            e.printStackTrace();
        } finally {
            if (connection != null) {
                try {
                    connection.close();
                } catch (SQLException e) {
                    e.printStackTrace();
                }
            }
        }
    }
}

2. Using Java technology to implement database search
The core of database search is to write efficient SQL query statements and use indexes to improve search performance . The following is a simple code example using Java for database search:

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;

public class DatabaseSearch {
    public static void main(String[] args) {
        String url = "jdbc:mysql://localhost:3306/mydb";
        String username = "root";
        String password = "password";

        String searchKeyword = "Java"; // 搜索关键词

        Connection connection = null;
        try {
            connection = DriverManager.getConnection(url, username, password);
            String sql = "SELECT * FROM books WHERE title LIKE ?";
            PreparedStatement statement = connection.prepareStatement(sql);
            statement.setString(1, "%" + searchKeyword + "%");
            ResultSet resultSet = statement.executeQuery();
            while (resultSet.next()) {
                String bookTitle = resultSet.getString("title");
                String bookAuthor = resultSet.getString("author");
                System.out.println("Book Title: " + bookTitle);
                System.out.println("Book Author: " + bookAuthor);
            }
        } catch (SQLException e) {
            e.printStackTrace();
        } finally {
            if (connection != null) {
                try {
                    connection.close();
                } catch (SQLException e) {
                    e.printStackTrace();
                }
            }
        }
    }
}

The above code implements a simple book search function. By entering a keyword, the program will find books containing the keyword from the database and for output.

Conclusion: This article introduces how to use Java technology to implement high-performance database search, and provides specific code examples through which readers can better understand and apply this technology. In actual projects, database search is one of the common functions. Therefore, improving the performance of database search is very important for the overall efficiency and user experience of the system. I hope this article can be helpful to readers and provide some ideas and inspiration. Thanks for reading!

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