package window
import org.apache.flink.streaming.api.functions.source.SourceFunction
import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment
import org.apache.flink.streaming.api.windowing.time.Time
import org.apache.flink.api.scala._
/**
* @author: create by maoxiangyi
* @version: v1.0
* @description: window
* @date:2019 /6/4
*/
object ReduceWordCount {
def main(args: Array[String]): Unit = {
//設置環境
val env: StreamExecutionEnvironment = StreamExecutionEnvironment.createLocalEnvironment()
//設置數據源
env.addSource(new SourceFunction[String] {
override def run(ctx: SourceFunction.SourceContext[String]): Unit = {
while (true) {
ctx.collect("hello hadoop hello storm hello spark")
Thread.sleep(1000)
}
}
override def cancel(): Unit = {}
})
//計算邏輯
.flatMap(_.split(" "))
.map((_, 1))
.keyBy(_._1)
.timeWindow(Time.seconds(10), Time.seconds(10))
.reduce((x, y) => {
(x._1, x._2 + y._2)
})
//輸出結果
.addSink(x => {
print(x + "\n")
})
//提交任務
env.execute("word count")
}
}