kafka-quarkus背压配置

zwghvu4y  于 2021-06-04  发布在  Kafka
关注(0)|答案(1)|浏览(428)

我使用quarkus smallrye与kafka的React式消息传递获得以下stacktrace:

2020-07-24 01:38:31,662 ERROR [io.sma.rea.mes.kafka] (executor-thread-870) SRMSG18207: Unable to dispatch message to Kafka: io.smallrye.mutiny.subscription.BackPressureFailure: Could not emit tick 211 due to lack of requests
        at io.smallrye.mutiny.operators.multi.builders.IntervalMulti$IntervalRunnable.run(IntervalMulti.java:83)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
        at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
        at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
        at org.jboss.threads.ContextClassLoaderSavingRunnable.run(ContextClassLoaderSavingRunnable.java:35)
        at org.jboss.threads.EnhancedQueueExecutor.safeRun(EnhancedQueueExecutor.java:2046)
        at org.jboss.threads.EnhancedQueueExecutor$ThreadBody.doRunTask(EnhancedQueueExecutor.java:1578)
        at org.jboss.threads.EnhancedQueueExecutor$ThreadBody.run(EnhancedQueueExecutor.java:1452)
        at org.jboss.threads.DelegatingRunnable.run(DelegatingRunnable.java:29)
        at org.jboss.threads.ThreadLocalResettingRunnable.run(ThreadLocalResettingRunnable.java:29)
        at java.lang.Thread.run(Thread.java:748)
        at org.jboss.threads.JBossThread.run(JBossThread.java:479)

所以我读过https://smallrye.io/smallrye-mutiny/#_how_do_i_control_the_back_pressure
根据文件我已经添加了背压控制。
之前:

@Outgoing( "eqs-crossing-xxx" )
    public Multi< EQSAlert > eqsCrossingXXX_XXX(){

        final String series = CrossingEnum.XXX_XXX.getSeries();
        final String equipment = CrossingEnum.XXX_XXX.getEquipment();

        final String vehicleRegex = vehicleRegexService.getRegexBySeries( series );

        log.info( "Incoming request for {} - {}",  series, equipment);
        log.info( "Vehicle regex : {}", vehicleRegex );

        return Multi
                .createFrom()
                .ticks()
                .every(
                        Duration.ofSeconds( poolingInterval )
                )
                .concatMap(i -> {
                    final Multi<CrossingState> crossingStateBySeriesAndEquipment = CrossingState.getCrossingStateBySeriesAndEquipment(client, series, equipment);

                    return crossingStateBySeriesAndEquipment.flatMap(crossingState ->
                            crossingState.isActive() ?
                                    EQSAlert.getEQSAlertBySeriesAndEquipment(
                                            client,
                                            series,
                                            vehicleRegex,
                                            equipment
                                    )
                                    :
                                    Multi.createFrom().empty()
                    );
                });
    }

之后:

@Outgoing( "eqs-crossing-xxx" )
    public Multi< EQSAlert > eqsCrossingXXX_XXX(){

        final String series = CrossingEnum.XXX_XXX.getSeries();
        final String equipment = CrossingEnum.XXX_XXX.getEquipment();

        final String vehicleRegex = vehicleRegexService.getRegexBySeries( series );

        log.info( "Incoming request for {} - {}",  series, equipment);
        log.info( "Vehicle regex : {}", vehicleRegex );

        return Multi
                .createFrom()
                .ticks()
                .every(
                        Duration.ofSeconds( poolingInterval )
                )
                .onOverflow()
                .buffer(10)
                .concatMap(i -> {
                    final Multi<CrossingState> crossingStateBySeriesAndEquipment = CrossingState.getCrossingStateBySeriesAndEquipment(client, series, equipment);

                    return crossingStateBySeriesAndEquipment.flatMap(crossingState ->
                            crossingState.isActive() ?
                                    EQSAlert.getEQSAlertBySeriesAndEquipment(
                                            client,
                                            series,
                                            vehicleRegex,
                                            equipment
                                    )
                                    :
                                    Multi.createFrom().empty()
                    );
                });
    }

现在一切都好了。
我这篇文章的目的是了解我为什么要这么做?
https://smallrye.io/smallrye-mutiny/apidocs/io/smallrye/mutiny/subscription/backpressurestrategy.html
为什么缓冲器不能留住你?
如您所见,我每5秒调用一个简单的sql函数(pooliginterval)。函数返回一些记录(池中的记录不超过10条)
所以车流量很低
我可以用一些词来理解缓冲区管理吗。
谢谢您

7fyelxc5

7fyelxc51#

你的下游每单位时间只能消耗一定数量的物品。这取决于你在做什么。默认情况下,kafka将自身限制为5次并发写入(您可以对其进行配置)。
所以,如果你以一种不受限制的,而不是背压感知的方式排放更多的气体,那么下游就跟不上了。添加一个包含10个项目的缓冲区可能会处理一些小问题,但这可能还不够。 drop 更激进;如果下游跟不上,这些项目就会被丢弃。 dropPreviousItems 正在删除已接收的项目。

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