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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/09/02 08:52:20 UTC
[jira] [Commented] (FLINK-4544) TaskManager metrics are vulnerable
to custom JMX bean installation
[ https://issues.apache.org/jira/browse/FLINK-4544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15457975#comment-15457975 ]
ASF GitHub Bot commented on FLINK-4544:
---------------------------------------
Github user zentol commented on the issue:
https://github.com/apache/flink/pull/2445
Version 2 is up. Essentially, we now attempt to use the methods before registering the metrics. I've also adjusted the new CPU metrics.
> TaskManager metrics are vulnerable to custom JMX bean installation
> ------------------------------------------------------------------
>
> Key: FLINK-4544
> URL: https://issues.apache.org/jira/browse/FLINK-4544
> Project: Flink
> Issue Type: Bug
> Components: Metrics
> Affects Versions: 1.1.2
> Reporter: Stephan Ewen
> Assignee: Chesnay Schepler
> Fix For: 1.2.0, 1.1.3
>
>
> The TaskManager's CPU load magic may fail when JMX providers are overwritten.
> The TaskManager logic checks if the class {{com.sun.management.OperatingSystemMXBean}} is available. If yes, it assumes that the {{ManagementFactory.getOperatingSystemMXBean()}} is of that type. That is not necessarily the case.
> This is visible in the Cassandra tests, as Cassandra overrides the JMX provider - every heartbeat causes an exception that is logged (See below), flooding the log, killing the heartbeat message.
> I would also suggest to move the entire metrics code out of the {{TaskManager}} class into a dedicated class {{TaskManagerJvmMetrics}}. That one can, with a static method, install the metrics into the TaskManager's metric group.
> Sample stack trace when default platform beans are overridden:
> {code}
> 23914 [flink-akka.actor.default-dispatcher-3] WARN org.apache.flink.runtime.taskmanager.TaskManager - Error retrieving CPU Load through OperatingSystemMXBean
> java.lang.IllegalArgumentException: object is not an instance of declaring class
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at org.apache.flink.runtime.taskmanager.TaskManager$$anon$3$$anonfun$getValue$2.apply(TaskManager.scala:2351)
> at org.apache.flink.runtime.taskmanager.TaskManager$$anon$3$$anonfun$getValue$2.apply(TaskManager.scala:2351)
> at scala.Option.map(Option.scala:145)
> at org.apache.flink.runtime.taskmanager.TaskManager$$anon$3.getValue(TaskManager.scala:2351)
> at org.apache.flink.runtime.taskmanager.TaskManager$$anon$3.getValue(TaskManager.scala:2348)
> at com.codahale.metrics.json.MetricsModule$GaugeSerializer.serialize(MetricsModule.java:32)
> at com.codahale.metrics.json.MetricsModule$GaugeSerializer.serialize(MetricsModule.java:20)
> at com.fasterxml.jackson.databind.ser.std.MapSerializer.serializeFields(MapSerializer.java:616)
> at com.fasterxml.jackson.databind.ser.std.MapSerializer.serialize(MapSerializer.java:519)
> at com.fasterxml.jackson.databind.ser.std.MapSerializer.serialize(MapSerializer.java:31)
> at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:130)
> at com.fasterxml.jackson.databind.ObjectMapper.writeValue(ObjectMapper.java:2444)
> at com.fasterxml.jackson.core.base.GeneratorBase.writeObject(GeneratorBase.java:355)
> at com.fasterxml.jackson.core.JsonGenerator.writeObjectField(JsonGenerator.java:1442)
> at com.codahale.metrics.json.MetricsModule$MetricRegistrySerializer.serialize(MetricsModule.java:186)
> at com.codahale.metrics.json.MetricsModule$MetricRegistrySerializer.serialize(MetricsModule.java:171)
> at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:130)
> at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:3631)
> at com.fasterxml.jackson.databind.ObjectMapper.writeValueAsBytes(ObjectMapper.java:3022)
> at org.apache.flink.runtime.taskmanager.TaskManager.sendHeartbeatToJobManager(TaskManager.scala:1278)
> at org.apache.flink.runtime.taskmanager.TaskManager$$anonfun$handleMessage$1.applyOrElse(TaskManager.scala:309)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
> at org.apache.flink.runtime.testingUtils.TestingTaskManagerLike$$anonfun$handleTestingMessage$1.applyOrElse(TestingTaskManagerLike.scala:65)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
> at org.apache.flink.runtime.LeaderSessionMessageFilter$$anonfun$receive$1.applyOrElse(LeaderSessionMessageFilter.scala:44)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
> at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:33)
> at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:28)
> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
> at org.apache.flink.runtime.LogMessages$$anon$1.applyOrElse(LogMessages.scala:28)
> at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> at org.apache.flink.runtime.taskmanager.TaskManager.aroundReceive(TaskManager.scala:124)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
> at akka.dispatch.Mailbox.run(Mailbox.scala:221)
> at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.pollAndExecAll(ForkJoinPool.java:1253)
> at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1346)
> at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {code}
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