提交Live Traffic Chart重构后初版代码。(TSG-14799)
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package com.zdjizhi.topology;
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import cn.hutool.log.Log;
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import cn.hutool.log.LogFactory;
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import com.zdjizhi.common.config.GlobalConfig;
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import com.zdjizhi.common.pojo.AppProtocol;
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import com.zdjizhi.utils.functions.filter.DataTypeFilter;
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import com.zdjizhi.utils.functions.keyby.DimensionKeyBy;
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import com.zdjizhi.utils.functions.map.MetricsParseMap;
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import com.zdjizhi.utils.functions.map.ResultFlatMap;
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import com.zdjizhi.utils.functions.statistics.DispersionCountWindow;
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import com.zdjizhi.utils.functions.statistics.MergeCountWindow;
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import com.zdjizhi.utils.kafka.KafkaConsumer;
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import com.zdjizhi.utils.kafka.KafkaProducer;
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import org.apache.flink.api.java.tuple.Tuple2;
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import org.apache.flink.streaming.api.datastream.DataStream;
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import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
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import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
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import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
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import org.apache.flink.streaming.api.windowing.time.Time;
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/**
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* @author qidaijie
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* @Package com.zdjizhi.topology
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* @Description:
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* @date 2021/5/2016:42
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*/
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public class ApplicationProtocolTopology {
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private static final Log logger = LogFactory.get();
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public static void main(String[] args) {
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try {
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final StreamExecutionEnvironment environment = StreamExecutionEnvironment.getExecutionEnvironment();
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//解析原始日志
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DataStream<String> streamSource = environment.addSource(KafkaConsumer.getKafkaConsumer())
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.setParallelism(GlobalConfig.SOURCE_PARALLELISM).name(GlobalConfig.SOURCE_KAFKA_TOPIC);
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SingleOutputStreamOperator<String> appProtocolFilter = streamSource.filter(new DataTypeFilter())
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.name("appProtocolFilter").setParallelism(GlobalConfig.SOURCE_PARALLELISM);
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SingleOutputStreamOperator<Tuple2<String, AppProtocol>> parseDataMap = appProtocolFilter.map(new MetricsParseMap())
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.name("ParseDataMap").setParallelism(GlobalConfig.PARSE_PARALLELISM);
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SingleOutputStreamOperator<AppProtocol> dispersionCountWindow = parseDataMap.keyBy(new DimensionKeyBy())
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.window(TumblingProcessingTimeWindows.of(Time.seconds(GlobalConfig.COUNT_WINDOW_TIME)))
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.reduce(new DispersionCountWindow(), new MergeCountWindow())
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.name("DispersionCountWindow")
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.setParallelism(GlobalConfig.WINDOW_PARALLELISM);
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SingleOutputStreamOperator<String> resultFlatMap = dispersionCountWindow.flatMap(new ResultFlatMap())
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.name("ResultFlatMap").setParallelism(GlobalConfig.SINK_PARALLELISM);
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resultFlatMap.addSink(KafkaProducer.getKafkaProducer())
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.setParallelism(GlobalConfig.SINK_PARALLELISM).name(GlobalConfig.SINK_KAFKA_TOPIC);
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environment.execute(args[0]);
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} catch (Exception e) {
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logger.error("This Flink task start ERROR! Exception information is :" + e);
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}
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}
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}
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