spark_project_20260921/src/main/scala/com/example/utils/JDBCUtil.scala

package com.example.utils

import com.example.spark.{TopGenresByAverageRating, TopTenAvgRatings, MovieRatingCount}
import com.zaxxer.hikari.{HikariConfig, HikariDataSource}
import org.apache.commons.dbutils.QueryRunner

object JDBCUtil {

  // ==================== HikariCP 配置 ====================

  private val config = new HikariConfig()

  private val user = "root"
  private val password = "root123456"
  private val url = "jdbc:mysql://192.168.48.10:3306/test"

  config.setJdbcUrl(url)
  config.setUsername(user)
  config.setPassword(password)
  config.setDriverClassName("com.mysql.cj.jdbc.Driver")

  config.setMaximumPoolSize(10)
  config.setMinimumIdle(5)
  config.setIdleTimeout(30000)
  config.setConnectionTimeout(30000)
  config.setAutoCommit(true)

  // 数据源
  private val dataSource = new HikariDataSource(config)

  // ==================== 获取 QueryRunner ====================

  def getQueryRunner: Option[QueryRunner] =
    try {
      Some(new QueryRunner(dataSource))
    } catch {
      case e: Exception =>
        e.printStackTrace()
        None
    }

  // ==================== 写入 MySQL ====================

  def insert2Mysql(res: Any): Unit =
    getQueryRunner match {
      case Some(queryRunner) =>
        upsert(res, queryRunner)

      case None =>
        println("Mysql 连接失败")
        System.exit(-1)
    }

  // ==================== 根据类型执行不同 SQL ====================

  private def upsert(res: Any, queryRunner: QueryRunner): Unit = {
    res match {

      case data: TopTenAvgRatings =>
        val sql =
          """
            |REPLACE INTO top_ten_avg_ratings (
            |  movie_id,
            |  title,
            |  avg_rating
            |) VALUES (?, ?, ?)
          """.stripMargin

        queryRunner.update(
          sql,
          data.movieId,
          data.title,
          data.avgRating
        )

      case data: TopGenresByAverageRating =>
        val sql =
          """
            |REPLACE INTO genres_average_rating (
            |  genres,
            |  avg_rating
            |) VALUES (?, ?)
          """.stripMargin

        queryRunner.update(
          sql,
          data.genres,
          data.avgRating
        )

      case data: MovieRatingCount =>
        val sql =
          """
            |REPLACE INTO movie_rating_count (
            |movie_id,
            |title,
            |ratingCount
            |) VALUES (?, ?, ?)
          """.stripMargin

        queryRunner.update(
          sql,
          Int.box(data.movieId),
          data.title,
          Long.box(data.ratingCount)
        )

      case _ =>
        println(s"不支持的数据类型：${res.getClass.getName}")
    }
  }
}