Flink-10.Flink 双流join订单对账

package com.ctgu.flink.project;

import com.ctgu.flink.entity.OrderEvent;
import com.ctgu.flink.entity.ReceiptEvent;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.state.ValueState;
import org.apache.flink.api.common.state.ValueStateDescriptor;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.Configuration;
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 org.apache.flink.streaming.api.functions.co.CoProcessFunction;
import org.apache.flink.streaming.api.functions.co.ProcessJoinFunction;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.Collector;
import org.apache.flink.util.OutputTag;

import java.time.Duration;


public class Flink_Sql_Join {

    static OutputTag orderOutput = new OutputTag("unCompare Pay") {};
    static OutputTag receiptOutput = new OutputTag("unReceipt") {};

    public static void main(String[] args) throws Exception {
        long start = System.currentTimeMillis();
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        DataStream orderStream = env.readTextFile("data/OrderLog.csv")
                .filter(line -> line.split(",").length >= 4)
                .map(line -> {
                    String[] s = line.split(",");
                    return new OrderEvent(Long.valueOf(s[0]), s[1], s[2], Long.valueOf(s[3]) * 1000);
                })
                .assignTimestampsAndWatermarks(
                        WatermarkStrategy.forBoundedOutOfOrderness(Duration.ZERO)
                                .withTimestampAssigner((event, timestamp) -> event.getTimestamp()))
                .filter(data -> !data.getTxId().equals(""));

        DataStream receiptStream = env.readTextFile("data/ReceiptLog.csv")
                .filter(line -> line.split(",").length >= 3)
                .map(line -> {
                    String[] s = line.split(",");
                    return new ReceiptEvent(s[0], s[1], Long.valueOf(s[2]) * 1000);
                })
                .assignTimestampsAndWatermarks(
                        WatermarkStrategy.forBoundedOutOfOrderness(Duration.ZERO)
                                .withTimestampAssigner((event, timestamp) -> event.getTimestamp()));

        SingleOutputStreamOperator> resultStream
                = orderStream.keyBy(OrderEvent::getTxId)
                .connect(receiptStream.keyBy(ReceiptEvent::getTxId))
                .process(new MyCoProcessFunction());

        resultStream.print("success");
        resultStream.getSideOutput(orderOutput).print("unPay");
        resultStream.getSideOutput(receiptOutput).print("unReceipt");

        orderStream.keyBy(OrderEvent::getTxId)
                .intervalJoin(receiptStream.keyBy(ReceiptEvent::getTxId))
                .between(Time.seconds(-30), Time.seconds(50))
                .process(new Flink_Sql_MatchByJoin.MyProcessJoinFunction()).print("success join");

        env.execute("Table SQL");

        System.out.println("耗时: " + (System.currentTimeMillis() - start) / 1000);

    }

    public static class MyCoProcessFunction
            extends CoProcessFunction> {

        ValueState payState;

        ValueState receiptState;

        @Override
        public void open(Configuration parameters) throws Exception {
            payState = getRuntimeContext().getState(new ValueStateDescriptor<>("pay", OrderEvent.class));
            receiptState = getRuntimeContext().getState(new ValueStateDescriptor<>("receipt", ReceiptEvent.class));
        }

        @Override
        public void processElement1(OrderEvent pay, Context context,
                                    Collector> out) throws Exception {
            ReceiptEvent receipt = receiptState.value();
            if (receipt != null) {
                out.collect(new Tuple2<>(pay, receipt));
                payState.clear();
                receiptState.clear();
            } else {
                context.timerService().registerEventTimeTimer(pay.getTimestamp() + 5000);
                payState.update(pay);
            }
        }

        @Override
        public void processElement2(ReceiptEvent receipt, Context context,
                                    Collector> out) throws Exception {
            OrderEvent pay = payState.value();
            if (pay != null) {
                out.collect(new Tuple2<>(pay, receipt));
                payState.clear();
                receiptState.clear();
            } else {
                context.timerService().registerEventTimeTimer(receipt.getTimestamp() + 3000);
                receiptState.update(receipt);
            }
        }

        @Override
        public void onTimer(long timestamp, OnTimerContext ctx, Collector> out) throws Exception {
            if(payState.value() != null) {
                ctx.output(orderOutput, payState.value());
            }
            if(receiptState.value() != null) {
                ctx.output(receiptOutput, receiptState.value());
            }
            payState.clear();
            receiptState.clear();
        }
    }

    public static class MyProcessJoinFunction
            extends ProcessJoinFunction> {

        @Override
        public void processElement(OrderEvent orderEvent, ReceiptEvent receiptEvent,
                                   Context context, Collector> collector) throws Exception {
            collector.collect(new Tuple2<>(orderEvent, receiptEvent));
        }
    }

}

测试data

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