[
https://issues.apache.org/jira/browse/FLINK-7368?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16206057#comment-16206057
]
ASF GitHub Bot commented on FLINK-7368:
---------------------------------------
GitHub user pnowojski opened a pull request:
https://github.com/apache/flink/pull/4841
[FLINK-7368][metrics] Backport synchronization fix for MetricStore
## What is the purpose of the change
This backports adding missing synchronization on MetricStore
## Verifying this change
This change is already covered by existing tests, such as
*MetricFetcherTest*.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (yes / **no**)
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: (yes / **no**)
- The serializers: (yes / **no** / don't know)
- The runtime per-record code paths (performance sensitive): (yes /
**no** / don't know)
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Yarn/Mesos, ZooKeeper: (yes / **no** / don't know)
## Documentation
- Does this pull request introduce a new feature? (yes / **no**)
- If yes, how is the feature documented? (**not applicable** / docs /
JavaDocs / not documented)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/pnowojski/flink flink7368-1.3
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/4841.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #4841
----
commit 4783633167b3008e66da97076b5e38e89e85e2bd
Author: Piotr Nowojski <piotr.nowoj...@gmail.com>
Date: 2017-10-16T15:17:26Z
[FLINK-7368][metrics] Backport synchronization fix for MetricStore
----
> 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
> Assignee: Piotr Nowojski
> Priority: Blocker
> Fix For: 1.4.0, 1.3.3
>
> Attachments: MyHashMap.java, MyHashMapInfiniteLoopTest.java,
> 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 only modify the
> HashMap.transfer() by adding concurrent barriers for different treads in
> order to simulate the timing of creation of cycles in hashmap's Entry. My
> program's stacktrace shows it hangs at same line of
> HashMap(HashMap.put(HashMap.java:494)) as the stacktrace I post above.
> 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. Thus I think it's a bug to fix.
>
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
