Flink-7.Flink 广告点击黑名单

package com.ctgu.flink.project;

import com.ctgu.flink.entity.BlackInfo;
import org.apache.flink.api.common.functions.AggregateFunction;
import org.apache.flink.api.common.state.ValueState;
import org.apache.flink.api.common.state.ValueStateDescriptor;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple3;
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.KeyedProcessFunction;
import org.apache.flink.streaming.api.functions.windowing.WindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.Schema;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.types.Row;
import org.apache.flink.util.Collector;
import org.apache.flink.util.OutputTag;


public class Flink_Sql_AdClick {
    public static void main(String[] args) throws Exception {

        long start = System.currentTimeMillis();

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        EnvironmentSettings settings = EnvironmentSettings
                .newInstance()
                .inStreamingMode()
                .build();

        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env, settings);

        String createSql =
                "CREATE TABLE source " +
                        "    (" +
                        "    `userId` BIGINT," +
                        "    `adId` BIGINT," +
                        "    `province` STRING," +
                        "    `city` STRING," +
                        "    `ts` BIGINT" +
                        "    )" +
                        "    WITH (" +
                        "       'connector'='filesystem'," +
                        "       'format'='csv'," +
                        "       'csv.field-delimiter'=','," +
                        "       'path'='data/AdClickLog.csv'" +
                        "    )";

        tableEnv.executeSql(createSql);

        String targetSql = "select *, ts * 1000 as `timestamp` from source";

        Table targetTable = tableEnv.sqlQuery(targetSql);

        DataStream rowDataStream = tableEnv.toDataStream(targetTable);

        Table source =
                tableEnv.fromDataStream(
                        rowDataStream,
                        Schema.newBuilder()
                                .columnByExpression("time_ltz", "TO_TIMESTAMP_LTZ(`timestamp`, 3)")
                                .watermark("time_ltz", "time_ltz - INTERVAL '5' SECOND")
                                .build());

        DataStream dataStream = tableEnv.toDataStream(source);

        SingleOutputStreamOperator filterDataStream = dataStream
                .filter(row -> row.getField("userId") != null && row.getField("adId") != null)
                .keyBy(new KeySelector>() {

            @Override
            public Tuple2 getKey(Row row) throws Exception {
                return new Tuple2<>((Long) row.getField("userId"), (Long) row.getField("adId"));
            }
        }).process(new MyProcessFunction(2L));

        DataStream blackList =
                filterDataStream.getSideOutput(new OutputTag("blackList"){});

        blackList.print();

        filterDataStream
                .keyBy(new KeySelector() {

                    @Override
                    public String getKey(Row row) throws Exception {
                        return (String) row.getField("province");
                    }
                })
                .window(TumblingEventTimeWindows.of(Time.hours(1)))
                .aggregate(new AverageAggregate(), new MyWindowFunction()).print();

        env.execute("Table SQL");

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

    private static class AverageAggregate
            implements AggregateFunction {
        @Override
        public Long createAccumulator() {
            return 0L;
        }

        @Override
        public Long add(Row row, Long aLong) {
            return aLong + 1;
        }

        @Override
        public Long getResult(Long aLong) {
            return aLong;
        }

        @Override
        public Long merge(Long a, Long b) {
            return a + b;
        }
    }

    private static class MyWindowFunction
            implements WindowFunction, String, TimeWindow> {

        @Override
        public void apply(String key,
                          TimeWindow timeWindow,
                          Iterable iterable,
                          Collector> collector) throws Exception {
            collector.collect(new Tuple3<>(key, timeWindow.getEnd(), iterable.iterator().next()));
        }
    }

    private static class MyProcessFunction
            extends KeyedProcessFunction, Row, Row> {

        private Long threshold;

        private ValueState clickCount;

        private ValueState isBlack;

        public MyProcessFunction(Long threshold) {
            this.threshold = threshold;
        }

        @Override
        public void open(Configuration parameters) throws Exception {
            clickCount = getRuntimeContext().getState(
                    new ValueStateDescriptor<>("count", Long.class, 0L));
            isBlack = getRuntimeContext().getState(
                    new ValueStateDescriptor<>("isBlack", Boolean.class, false));
        }

        @Override
        public void processElement(Row row, Context context, Collector collector) throws Exception {
            Long curCount = clickCount.value();
            if (curCount == 0) {
                Long ts = (context.timerService().currentProcessingTime() / (24 * 60 * 60 * 1000) + 1) * (24 * 60 * 60 * 1000);
                context.timerService().registerProcessingTimeTimer(ts);
            }
            if (!isBlack.value()) {
                if (curCount >= threshold) {
                    isBlack.update(true);
                    context.output(new OutputTag("blackList"){},
                            new BlackInfo((Long) row.getField("userId"),
                                    (Long) row.getField("adId"),
                                    (String) row.getField("province")));
                } else {
                    curCount += 1;
                    clickCount.update(curCount);
                    collector.collect(row);
                }
            }
        }

        @Override
        public void onTimer(long timestamp, OnTimerContext ctx, Collector out) throws Exception {
            isBlack.clear();
            clickCount.clear();
        }
    }

}