我目前正在运行类似于以下内容的 Akka 流设置:
┌───────────────┐
┌─────────────┐ │┌─────────────┐│
│REST endpoint│──▶│Queue source ││
└─────────────┘ │└──────╷──────┘│
│┌──────▼──────┐│
││ Flow[T] ││
│└──────╷──────┘│
│┌──────▼──────┐│ ┌─────────────┐
││ KafkaSink │├─▶│ Kafka topic │
│└─────────────┘│ └─────────────┘
└───────────────┘
虽然这项工作很好，但我想对生产系统有一些了解，即是否存在错误以及什么样的错误。例如，我已经包装了
KafkaSink成RestartSink.withBackoff并将以下属性应用于包装的接收器:private val decider: Supervision.Decider = {
case x =>
log.error("KafkaSink encountered an error and will stop", x)
Supervision.Stop
}
Flow[...]
.log("KafkaSink")
.to(Producer.plainSink(...))
.withAttributes(ActorAttributes.supervisionStrategy(decider))
.addAttributes(
ActorAttributes.logLevels(
onElement = Logging.DebugLevel,
onFinish = Logging.WarningLevel,
onFailure = Logging.ErrorLevel
)
)
这确实为我提供了一些见解，例如我将收到一条日志消息，指出下游已关闭，以及通过
supervisionStrategy 发生的异常我添加的。然而，这个解决方案感觉有点像一种变通方法(例如，将异常记录在监督策略中)，并且它也没有提供对
RestartWithBackoffSink 行为的任何洞察。 .我当然可以启用 DEBUG该类的级别日志记录，但同样，这感觉像是在生产中做的一种解决方法。长话短说:
最佳答案
我想你快到了!!
其实就是documentation中描述的方式.使用 log() approach为流经流的元素、流的完成和失败提供更细粒度的日志记录级别控制。虽然，我不喜欢在主管策略中添加日志消息。如果您确实想显示该特定异常，则创建一个自定义异常，在主管策略中捕获它并让 Akka 为您记录该消息。您可以启用 debug-logging在 Akka 流中 config默认情况下是 off用于调试日志级别的其他故障排除日志记录。除此之外，您还可以在参与者级别启用日志记录。(请参阅此 documentation)。
我认为在生产中，可能有两种方法来记录错误:
1) 在恢复阶段记录或重新抛出异常。这样所有来自上游的异常都将被捕获并记录:
object AkkaStreamRecap extends App {
implicit val system = ActorSystem("AkkaStreamsRecap")
implicit val materialiser = ActorMaterializer()
import system.dispatcher
val source = Source(-5 to 5)
val sink = Sink.foreach[Int](println)
val flow = Flow[Int].map(x => 1 / x)
val runnableGraph = source.
via(flow).
recover {
case e => throw e
}.
to(sink)
runnableGraph.run()
}
输出:
0
0
0
0
-1
[ERROR] [03/06/2020 16:27:58.703] [AkkaStreamsRecap-akka.actor.default-dispatcher-2] [akka://AkkaStreamsRecap/system/StreamSupervisor-0/flow-0-0-ignoreSink] Error in stage [Recover(<function1>)]: / by zero
java.lang.ArithmeticException: / by zero
at com.personal.akka.http.chapter1.AkkaStreamRecap$.$anonfun$flow$1(AkkaStreamRecap.scala:41)
at scala.runtime.java8.JFunction1$mcII$sp.apply(JFunction1$mcII$sp.java:23)
at akka.stream.impl.fusing.Map$$anon$1.onPush(Ops.scala:54)
at akka.stream.impl.fusing.GraphInterpreter.processPush(GraphInterpreter.scala:523)
at akka.stream.impl.fusing.GraphInterpreter.processEvent(GraphInterpreter.scala:480)
at akka.stream.impl.fusing.GraphInterpreter.execute(GraphInterpreter.scala:376)
at akka.stream.impl.fusing.GraphInterpreterShell.runBatch(ActorGraphInterpreter.scala:606)
at akka.stream.impl.fusing.GraphInterpreterShell.init(ActorGraphInterpreter.scala:576)
at akka.stream.impl.fusing.ActorGraphInterpreter.tryInit(ActorGraphInterpreter.scala:682)
at akka.stream.impl.fusing.ActorGraphInterpreter.preStart(ActorGraphInterpreter.scala:731)
at akka.actor.Actor.aroundPreStart(Actor.scala:550)
at akka.actor.Actor.aroundPreStart$(Actor.scala:550)
at akka.stream.impl.fusing.ActorGraphInterpreter.aroundPreStart(ActorGraphInterpreter.scala:671)
at akka.actor.ActorCell.create(ActorCell.scala:676)
at akka.actor.ActorCell.invokeAll$1(ActorCell.scala:547)
at akka.actor.ActorCell.systemInvoke(ActorCell.scala:569)
at akka.dispatch.Mailbox.processAllSystemMessages(Mailbox.scala:293)
at akka.dispatch.Mailbox.run(Mailbox.scala:228)
at akka.dispatch.Mailbox.exec(Mailbox.scala:241)
at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
2) 定义自定义监督策略并在流属性或物化器设置中使用它:
object AkkaStreamRecap extends App {
implicit val system = ActorSystem("AkkaStreamsRecap")
private val decider: Supervision.Decider = {
case e: ArithmeticException =>
println("Arithmetic exception: Divide by Zero")
Supervision.Stop
}
implicit val materialiser = ActorMaterializer(ActorMaterializerSettings(system).withSupervisionStrategy(decider))
import system.dispatcher
val source = Source(-5 to 5)
val sink = Sink.foreach[Int](println)
val flow = Flow[Int].map(x => 1 / x)
val runnableGraph = source.via(flow).log("divide by zero").to(sink)
runnableGraph.run()
}
输出:
0
0
0
0
-1
Arithmetic exception: Divide by Zero
[ERROR] [03/06/2020 16:37:00.740] [AkkaStreamsRecap-akka.actor.default-dispatcher-2] [akka.stream.Log(akka://AkkaStreamsRecap/system/StreamSupervisor-0)] [divide by zero] Upstream failed.
java.lang.ArithmeticException: / by zero
at com.personal.akka.http.chapter1.AkkaStreamRecap$.$anonfun$flow$1(AkkaStreamRecap.scala:26)
at scala.runtime.java8.JFunction1$mcII$sp.apply(JFunction1$mcII$sp.java:23)
at akka.stream.impl.fusing.Map$$anon$1.onPush(Ops.scala:54)
at akka.stream.impl.fusing.GraphInterpreter.processPush(GraphInterpreter.scala:523)
at akka.stream.impl.fusing.GraphInterpreter.processEvent(GraphInterpreter.scala:480)
at akka.stream.impl.fusing.GraphInterpreter.execute(GraphInterpreter.scala:376)
at akka.stream.impl.fusing.GraphInterpreterShell.runBatch(ActorGraphInterpreter.scala:606)
at akka.stream.impl.fusing.GraphInterpreterShell.init(ActorGraphInterpreter.scala:576)
at akka.stream.impl.fusing.ActorGraphInterpreter.tryInit(ActorGraphInterpreter.scala:682)
at akka.stream.impl.fusing.ActorGraphInterpreter.preStart(ActorGraphInterpreter.scala:731)
at akka.actor.Actor.aroundPreStart(Actor.scala:550)
at akka.actor.Actor.aroundPreStart$(Actor.scala:550)
at akka.stream.impl.fusing.ActorGraphInterpreter.aroundPreStart(ActorGraphInterpreter.scala:671)
at akka.actor.ActorCell.create(ActorCell.scala:676)
at akka.actor.ActorCell.invokeAll$1(ActorCell.scala:547)
at akka.actor.ActorCell.systemInvoke(ActorCell.scala:569)
at akka.dispatch.Mailbox.processAllSystemMessages(Mailbox.scala:293)
at akka.dispatch.Mailbox.run(Mailbox.scala:228)
at akka.dispatch.Mailbox.exec(Mailbox.scala:241)
at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
让我知道它是否有帮助!!
P.S...我在官方文档中找不到任何关于记录错误的其他方法的来源或方法。
关于scala - 如何以惯用的方式向 Akka 流添加错误日志记录？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/60549592/