编写Scala工程代码，将MySQL的db库中表table1、table2、table3、table4、 table5、table6、table7、table8、table9、table10、table11 的数据增量抽 取到 Hive 的 ods 库中对应表 table1、table2、table3、table4、table5、table6、 table7、table8、table9、table10、table11 中

以下是Scala的代码示例：

import org.apache.spark.sql.SparkSession

object MySQLToHiveIncremental {

  def main(args: Array[String]): Unit = {

    // Initialize SparkSession
    val spark = SparkSession.builder()
      .appName("MySQLToHiveIncremental")
      .enableHiveSupport()
      .getOrCreate()

    // Set MySQL and Hive configurations
    val mysqlUrl = "jdbc:mysql://localhost:3306/db"
    val mysqlUser = "username"
    val mysqlPassword = "password"
    val hiveDatabase = "ods"

    // Define tables to extract and load
    val tables = List("table1", "table2", "table3", "table4", "table5", "table6", "table7", "table8", "table9", "table10", "table11")

    // Loop through tables and extract data from MySQL
    tables.foreach(table => {
      // Load data from MySQL
      val mysqlDf = spark.read.format("jdbc")
        .option("url", mysqlUrl)
        .option("user", mysqlUser)
        .option("password", mysqlPassword)
        .option("dbtable", table)
        .load()

      // Load data from Hive
      val hiveDf = spark.table(s"$hiveDatabase.$table")

      // Identify new records to insert into Hive
      val newRecords = mysqlDf.except(hiveDf)

      // Insert new records into Hive
      newRecords.write.mode("append").insertInto(s"$hiveDatabase.$table")
    })

    // Stop SparkSession
    spark.stop()
  }
}

该代码使用SparkSession连接MySQL和Hive，然后循环遍历要抽取的表格列表。对于每个表格，它从MySQL中加载数据，然后从Hive中加载数据。接下来，它识别要插入到Hive中的新记录，并将这些记录插入到Hive中。最后，它停止SparkSession。