gfwleak/galaxy-tsg-olap-log-olap-analysis-schema
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修复分组不均导致的缓冲区被破坏(GAL-121)

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qidaijie
2022-01-19 08:56:23 +03:00
parent 4d10705cdb
commit c6f364d451
13 changed files with 82 additions and 89 deletions
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10
src/main/java/com/zdjizhi/topology/StreamAggregateTopology.java
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@@ -7,7 +7,7 @@ import com.zdjizhi.utils.functions.*;
import com.zdjizhi.utils.kafka.Consumer;
import com.zdjizhi.utils.kafka.Producer;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple4;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
@@ -38,19 +38,19 @@ public class StreamAggregateTopology {
DataStream<String> streamSource = environment.addSource(Consumer.getKafkaConsumer())
.setParallelism(StreamAggregateConfig.SOURCE_PARALLELISM);
SingleOutputStreamOperator<Tuple4<String, String, String, String>> parseDataMap = streamSource.map(new ParseMapFunction())
SingleOutputStreamOperator<Tuple3<String, String, String>> parseDataMap = streamSource.map(new ParseMapFunction())
.name("ParseDataMap")
.setParallelism(StreamAggregateConfig.PARSE_PARALLELISM);
WindowedStream<Tuple4<String, String, String, String>, String, TimeWindow> firstWindow = parseDataMap.keyBy(new FirstKeyByFunction())
.window(TumblingProcessingTimeWindows.of(Time.seconds(5)));
WindowedStream<Tuple3<String, String, String>, String, TimeWindow> firstWindow = parseDataMap.keyBy(new FirstKeyByFunction())
.window(TumblingProcessingTimeWindows.of(Time.seconds(StreamAggregateConfig.FIRST_COUNT_WINDOW_TIME)));
SingleOutputStreamOperator<Tuple2<String, String>> metricCountWindow = firstWindow.process(new FirstCountWindowFunction())
.name("FirstCountWindow")
.setParallelism(StreamAggregateConfig.FIRST_WINDOW_PARALLELISM);
WindowedStream<Tuple2<String, String>, String, TimeWindow> secondWindow = metricCountWindow.keyBy(new SecondKeyByFunction())
.window(TumblingProcessingTimeWindows.of(Time.seconds(StreamAggregateConfig.COUNT_WINDOW_TIME)));
.window(TumblingProcessingTimeWindows.of(Time.seconds(StreamAggregateConfig.SECOND_COUNT_WINDOW_TIME)));
SingleOutputStreamOperator<String> secondCountWindow = secondWindow.process(new SecondCountWindowFunction())
.name("SecondCountWindow").setParallelism(StreamAggregateConfig.SECOND_WINDOW_PARALLELISM);