如何在spark structured streaming中使用foreach方法向HIVE插入数据

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.ForeachWriter
import org.apache.spark.sql.streaming.OutputMode

class HiveForeachWriter extends ForeachWriter[YourDataType] {
  // 在open方法中进行初始化操作，例如建立与Hive的连接
  override def open(partitionId: Long, version: Long): Boolean = {
    // 初始化操作
    true
  }

  // 在process方法中将数据插入Hive表
  override def process(value: YourDataType): Unit = {
    // 将数据插入Hive表
  }

  // 在close方法中进行清理操作，例如关闭与Hive的连接
  override def close(errorOrNull: Throwable): Unit = {
    // 清理操作
  }
}

val spark = SparkSession
  .builder
  .appName("Spark Structured Streaming with Hive")
  .config("spark.sql.streaming.checkpointLocation", "/path/to/checkpoint")
  .enableHiveSupport()
  .getOrCreate()

val streamingDF = spark
  .readStream
  .format("your-streaming-data-source")
  .load()

val query = streamingDF
  .writeStream
  .foreach(new HiveForeachWriter())
  .outputMode(OutputMode.Append())
  .start()

query.awaitTermination()