feat:完成3个需求

需求1：查找电影评分个数超过5000，并且平均分较高的前十部电影名称及其对应的平均评分
需求2：查找每个电影类别及其对应的平均分
需求3：查找被评分次数最多的前十部电影

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

@@ -0,0 +1,112 @@
+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}")
+    }
+  }
+}