Flink 创建批处理执行环境

import org.apache.flink.api.scala.{ExecutionEnvironment, _}
/**
 * DATE:2022/10/1 18:54
 * AUTHOR:GX
 */
object wordCount {
  def main(args: Array[String]): Unit = {
    // createExecutionEnvironment 创建批处理执行环境
    val env: ExecutionEnvironment = ExecutionEnvironment.getExecutionEnvironment

    //从文件中读取数据
    val inputPath: String = "H:\\javademo\\demo\\Flink\\src\\main\\resources\\hello.text"
    val inputDataSet:DataSet[String] = env.readTextFile(inputPath)

    //对数据进行转换处理统计,先分词,在按照word进行分组,最后进行聚合统计
    val resultDataSet:DataSet[(String,Int)] = inputDataSet
      .flatMap(_.split(" "))
      .map((_,1))
      .groupBy(0)   //一第一个元素作为key进行分组
      .sum(1)    //对当前所有数据的第二个元素求和

    //打印输出
    resultDataSet.print()

  }
}

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转载自blog.csdn.net/GX_0824/article/details/127139340