[
https://issues.apache.org/jira/browse/FLINK-7368?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nico Chen updated FLINK-7368:
-----------------------------
Description:
Flink's `MetricStore` is not thread-safe. multi-treads may acess java' hashmap
inside `MetricStore` and can tirgger hashmap's infinte loop.
Recently I met the case that flink jobmanager consumed 100% cpu. A part of
stacktrace is shown below. The full jstack is in the attachment.
{code:java}
"ForkJoinPool-1-worker-19" daemon prio=10 tid=0x00007fbdacac9800 nid=0x64c1
runnable [0x00007fbd7d1c2000]
java.lang.Thread.State: RUNNABLE
at java.util.HashMap.put(HashMap.java:494)
at
org.apache.flink.runtime.webmonitor.metrics.MetricStore.addMetric(MetricStore.java:176)
at
org.apache.flink.runtime.webmonitor.metrics.MetricStore.add(MetricStore.java:121)
at
org.apache.flink.runtime.webmonitor.metrics.MetricFetcher.addMetrics(MetricFetcher.java:198)
at
org.apache.flink.runtime.webmonitor.metrics.MetricFetcher.access$500(MetricFetcher.java:58)
at
org.apache.flink.runtime.webmonitor.metrics.MetricFetcher$4.onSuccess(MetricFetcher.java:188)
at akka.dispatch.OnSuccess.internal(Future.scala:212)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:175)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:172)
at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
at
scala.runtime.AbstractPartialFunction.applyOrElse(AbstractPartialFunction.scala:28)
at scala.concurrent.Future$$anonfun$onSuccess$1.apply(Future.scala:117)
at scala.concurrent.Future$$anonfun$onSuccess$1.apply(Future.scala:115)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
at
java.util.concurrent.ForkJoinTask$AdaptedRunnable.exec(ForkJoinTask.java:1265)
at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:334)
at
java.util.concurrent.ForkJoinWorkerThread.execTask(ForkJoinWorkerThread.java:604)
at java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:784)
at java.util.concurrent.ForkJoinPool.work(ForkJoinPool.java:646)
at
java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:398)
{code}
There are 24 threads show same stacktrace as above to indicate they are spining
at HashMap.put(HashMap.java:494) (I am using Java 1.7.0_6). Many posts indicate
multi-threads accessing hashmap cause this problem and I reproduce the case as
well. The test code is attached. I mainly modify the HashMap.transfer() by
adding concurrent barriers for different treads in order to simulate the timing
of creation of cyclic linked list.
Even through `MetricFetcher` has a 10 seconds minimum inteverl between each
metrics qurey, it still cannot guarntee query responses do not acess
`MtricStore`'s hashmap concurrently.
was:
Flink's `MetricStore` is not thread-safe. multi-treads may acess java' hashmap
inside `MetricStore` and can tirgger hashmap's infinte loop.
Recently I met the case that flink jobmanager consumed 100% cpu. A part of
stacktrace is shown below. The full jstack is in the attachment.
{code:java}
"ForkJoinPool-1-worker-19" daemon prio=10 tid=0x00007fbdacac9800 nid=0x64c1
runnable [0x00007fbd7d1c2000]
java.lang.Thread.State: RUNNABLE
at java.util.HashMap.put(HashMap.java:494)
at
org.apache.flink.runtime.webmonitor.metrics.MetricStore.addMetric(MetricStore.java:176)
at
org.apache.flink.runtime.webmonitor.metrics.MetricStore.add(MetricStore.java:121)
at
org.apache.flink.runtime.webmonitor.metrics.MetricFetcher.addMetrics(MetricFetcher.java:198)
at
org.apache.flink.runtime.webmonitor.metrics.MetricFetcher.access$500(MetricFetcher.java:58)
at
org.apache.flink.runtime.webmonitor.metrics.MetricFetcher$4.onSuccess(MetricFetcher.java:188)
at akka.dispatch.OnSuccess.internal(Future.scala:212)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:175)
at akka.dispatch.japi$CallbackBridge.apply(Future.scala:172)
at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
at
scala.runtime.AbstractPartialFunction.applyOrElse(AbstractPartialFunction.scala:28)
at scala.concurrent.Future$$anonfun$onSuccess$1.apply(Future.scala:117)
at scala.concurrent.Future$$anonfun$onSuccess$1.apply(Future.scala:115)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
at
java.util.concurrent.ForkJoinTask$AdaptedRunnable.exec(ForkJoinTask.java:1265)
at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:334)
at
java.util.concurrent.ForkJoinWorkerThread.execTask(ForkJoinWorkerThread.java:604)
at java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:784)
at java.util.concurrent.ForkJoinPool.work(ForkJoinPool.java:646)
at
java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:398)
{code}
There are 24 threads show same stacktrace as above to indicate they are spining
at HashMap.put(HashMap.java:494) (I am using Java 1.7.0_6). Many posts indicate
multi-threads accessing hashmap cause this problem and I reproduce the case as
well. Even through `MetricFetcher` has a 10 seconds minimum inteverl between
each metrics qurey, it still cannot guarntee query responses do not acess
`MtricStore`'s hashmap concurrently.
> MetricStore makes cpu spin at 100%
> ----------------------------------
>
> Key: FLINK-7368
> URL: https://issues.apache.org/jira/browse/FLINK-7368
> Project: Flink
> Issue Type: Bug
> Components: Metrics
> Reporter: Nico Chen
> Attachments: jm-jstack.log
>
>
> Flink's `MetricStore` is not thread-safe. multi-treads may acess java'
> hashmap inside `MetricStore` and can tirgger hashmap's infinte loop.
> Recently I met the case that flink jobmanager consumed 100% cpu. A part of
> stacktrace is shown below. The full jstack is in the attachment.
> {code:java}
> "ForkJoinPool-1-worker-19" daemon prio=10 tid=0x00007fbdacac9800 nid=0x64c1
> runnable [0x00007fbd7d1c2000]
> java.lang.Thread.State: RUNNABLE
> at java.util.HashMap.put(HashMap.java:494)
> at
> org.apache.flink.runtime.webmonitor.metrics.MetricStore.addMetric(MetricStore.java:176)
> at
> org.apache.flink.runtime.webmonitor.metrics.MetricStore.add(MetricStore.java:121)
> at
> org.apache.flink.runtime.webmonitor.metrics.MetricFetcher.addMetrics(MetricFetcher.java:198)
> at
> org.apache.flink.runtime.webmonitor.metrics.MetricFetcher.access$500(MetricFetcher.java:58)
> at
> org.apache.flink.runtime.webmonitor.metrics.MetricFetcher$4.onSuccess(MetricFetcher.java:188)
> at akka.dispatch.OnSuccess.internal(Future.scala:212)
> at akka.dispatch.japi$CallbackBridge.apply(Future.scala:175)
> at akka.dispatch.japi$CallbackBridge.apply(Future.scala:172)
> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
> at
> scala.runtime.AbstractPartialFunction.applyOrElse(AbstractPartialFunction.scala:28)
> at
> scala.concurrent.Future$$anonfun$onSuccess$1.apply(Future.scala:117)
> at
> scala.concurrent.Future$$anonfun$onSuccess$1.apply(Future.scala:115)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at
> java.util.concurrent.ForkJoinTask$AdaptedRunnable.exec(ForkJoinTask.java:1265)
> at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:334)
> at
> java.util.concurrent.ForkJoinWorkerThread.execTask(ForkJoinWorkerThread.java:604)
> at java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:784)
> at java.util.concurrent.ForkJoinPool.work(ForkJoinPool.java:646)
> at
> java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:398)
> {code}
> There are 24 threads show same stacktrace as above to indicate they are
> spining at HashMap.put(HashMap.java:494) (I am using Java 1.7.0_6). Many
> posts indicate multi-threads accessing hashmap cause this problem and I
> reproduce the case as well. The test code is attached. I mainly modify the
> HashMap.transfer() by adding concurrent barriers for different treads in
> order to simulate the timing of creation of cyclic linked list.
> Even through `MetricFetcher` has a 10 seconds minimum inteverl between each
> metrics qurey, it still cannot guarntee query responses do not acess
> `MtricStore`'s hashmap concurrently.
>
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
