为了将Prometheus获取的redis监控数据存储到MySQL数据库中，需要使用以下工具和技术：

1. Prometheus：用于收集Redis监控数据，并将其暴露为HTTP接口。

2. Prometheus Java客户端库：用于从Prometheus HTTP接口获取数据。

3. MySQL数据库：用于存储Redis监控数据。

4. JDBC驱动程序：用于连接Java应用程序与MySQL数据库。

5. Java编程语言：用于编写Java应用程序来处理Redis监控数据并将其存储到MySQL数据库中。

下面是一个简单的示例代码，说明如何使用Java将Prometheus获取的redis监控数据存储到MySQL数据库中。

import io.prometheus.client.Counter;
import io.prometheus.client.Gauge;
import io.prometheus.client.exporter.HTTPResponse;
import io.prometheus.client.exporter.PushGateway;
import org.json.JSONArray;
import org.json.JSONObject;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;
public class RedisMonitor {
    private static final String PROMETHEUS_URL = "http://localhost:9090/";
    private static final String PUSHGATEWAY_URL = "http://localhost:9091/";
    private static final String MYSQL_DRIVER = "com.mysql.jdbc.Driver";
    private static final String MYSQL_URL = "jdbc:mysql://localhost:3306/redis_monitor";
    private static final String MYSQL_USER = "root";
    private static final String MYSQL_PASSWORD = "password";
    private static final Gauge redis_connections = Gauge.build()
            .name("redis_connections")
            .help("Number of connected clients to Redis")
            .register();
    private static final Counter redis_commands_total = Counter.build()
            .name("redis_commands_total")
            .help("Total number of Redis commands processed")
            .register();
    public static void main(String[] args) throws Exception {
        // Create a Prometheus Java client and connect to the Prometheus HTTP API
        Prometheus prometheus = new Prometheus(PROMETHEUS_URL);
        // Query the Prometheus API to get the latest Redis monitoring data
        JSONObject json = prometheus.query("redis_exporter");
        // Parse the JSON response to extract the Redis monitoring metrics
        JSONObject status = json.getJSONObject("status");
        JSONArray data = json.getJSONArray("data");
        int connected_clients = status.getInt("connected_clients");
        double commands_processed = data.getJSONObject(0).getDouble("value");
        // Update the Redis monitoring metrics in the Prometheus Gauge and Counter objects
        redis_connections.set(connected_clients);
        redis_commands_total.inc(commands_processed);
        // Push the updated Redis monitoring metrics to the Prometheus Pushgateway
        PushGateway pushGateway = new PushGateway(PUSHGATEWAY_URL);
        pushGateway.pushAdd(prometheus.getRegistry(), "redis_monitoring");
        // Store the Redis monitoring metrics in the MySQL database
        Connection connection = null;
        PreparedStatement statement = null;
        try {
            Class.forName(MYSQL_DRIVER);
            connection = DriverManager.getConnection(MYSQL_URL, MYSQL_USER, MYSQL_PASSWORD);
            String sql = "INSERT INTO redis_metrics (connected_clients, commands_processed) VALUES (?, ?)";
            statement = connection.prepareStatement(sql);
            statement.setInt(1, connected_clients);
            statement.setDouble(2, commands_processed);
            statement.executeUpdate();
        } catch (SQLException e) {
            e.printStackTrace();
        } finally {
            if (statement != null) {
                statement.close();
            }
            if (connection != null) {
                connection.close();
            }
        }
    }
}

在MySQL数据库中，您可以使用以下SQL语句来创建一个名为redis_metrics的表，用于存储Redis监控数据：

CREATE TABLE redis_metrics (
  id INT(11) NOT NULL AUTO_INCREMENT,
  connected_clients INT(11) DEFAULT '0',
  commands_processed DOUBLE DEFAULT '0',
  timestamp TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
  PRIMARY KEY (id)
);

这个表有三个列：connected_clients（表示连接到Redis的客户端数量），commands_processed（表示处理的Redis命令总数）和timestamp（表示插入行的时间戳）。每当Java应用程序将新的Redis监控数据存储到MySQL数据库时，都会在redis_metrics表中添加一行。