package com.winhc.bigdata.flink.test

import com.winhc.bigdata.flink.java.sink.OdpsSinkBuilder4J
import org.apache.flink.api.common.functions.MapFunction
import org.apache.flink.api.java.tuple.Tuple2
import org.apache.flink.streaming.api.functions.sink.SinkFunction
import org.apache.flink.streaming.api.scala.{DataStream, StreamExecutionEnvironment}
import org.apache.flink.types.Row
/**
 * @author: XuJiakai
 * @date: 2021/9/1 10:15
 */
object MyTest {
  def main(args: Array[String]): Unit = {
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    val odpsSink: SinkFunction[Tuple2[Boolean, Row]] = OdpsSinkBuilder4J.buildSinkFunction("xjk_test_test",null).asInstanceOf[SinkFunction[Tuple2[Boolean,Row]]]
    val odpsSink2: SinkFunction[Tuple2[Boolean, Row]] = OdpsSinkBuilder4J.buildSinkFunction("xjk_test_test_2",null).asInstanceOf[SinkFunction[Tuple2[Boolean,Row]]]

    import org.apache.flink.api.scala._
    val value: DataStream[Tuple2[Boolean, Row]] = env.fromCollection(Seq(
      Row.of(Long.box(123), Double.box(123.1d)),
      Row.of(Long.box(456), Double.box(123.2d))
    ))
      .map(new MapFunction[Row, Tuple2[Boolean, Row]]() {
        @throws[Exception]
        override def map(row: Row): Tuple2[Boolean, Row] = new Tuple2(true, row)
      })
    value.addSink(odpsSink)
    value.addSink(odpsSink2)





    env.execute("test job")
  }

}