Flink11--FliterAndKeyBy算子

一、导入依赖

参考本人下博客

二、代码

FLink11FilterApp.java

package net.xdclass.class9;

import org.apache.flink.api.common.RuntimeExecutionMode;
import org.apache.flink.api.common.functions.FilterFunction;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

import net.xdclass.source.VideoOrderSourceV2;
import net.xdclass.model.VideoOrder;

/**
 * @desc filter算子
 * @menu
 */
public class FLink11FilterApp {

    public static void main(String[] args) throws Exception{
        //WebUi方式运行
//        final StreamExecutionEnvironment env =
//                StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(new Configuration());
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //设置运行模式为流批一体
        env.setRuntimeMode(RuntimeExecutionMode.AUTOMATIC);
        //并行度
        env.setParallelism(1);
        //设置为自定义source
        DataStream ds = env.addSource(new VideoOrderSourceV2());

        SingleOutputStreamOperator filterDs = ds.filter(new FilterFunction() {
            @Override
            public boolean filter(VideoOrder videoOrder) throws Exception {
                return videoOrder.getMoney() > 10;
            }
        });

//        KeyedStream videoKeyBy = filterDs.keyBy(new KeySelector() {
//            @Override
//            public Object getKey(VideoOrder videoOrder) throws Exception {
//                return videoOrder.getTitle();
//            }
//        });
//        SingleOutputStreamOperator videoKeySum = videoKeyBy.sum("money");
        SingleOutputStreamOperator moneyDs = filterDs.keyBy(new KeySelector() {
            @Override
            public Object getKey(VideoOrder videoOrder) throws Exception {
                return videoOrder.getTitle();
            }
        }).sum("money");

        moneyDs.print();

        //DataStream需要调用execute,可以取个名称
        env.execute("keyBy map job");
    }
}