[
https://issues.apache.org/jira/browse/FLINK-16142?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17042027#comment-17042027
]
Thomas Wozniakowski commented on FLINK-16142:
---------------------------------------------
[~sewen]
I don't have access to the Kinesis Source code as it's a library, but I added
that line to the SQS sink, as it's also going to be executed on the TaskManager
alongside the Kinesis sink (my test is only running on one taskmanager).
Unfortunately it did not prevent the OOM error.
> Memory Leak causes Metaspace OOM error on repeated job submission
> -----------------------------------------------------------------
>
> Key: FLINK-16142
> URL: https://issues.apache.org/jira/browse/FLINK-16142
> Project: Flink
> Issue Type: Bug
> Components: Client / Job Submission
> Affects Versions: 1.10.0
> Reporter: Thomas Wozniakowski
> Priority: Blocker
> Fix For: 1.10.1, 1.11.0
>
> Attachments: Leak-GC-root.png, java_pid1.hprof
>
>
> Hi Guys,
> We've just tried deploying 1.10.0 as it has lots of shiny stuff that fits our
> use-case exactly (RocksDB state backend running in a containerised cluster).
> Unfortunately, it seems like there is a memory leak somewhere in the job
> submission logic. We are getting this error:
> {code:java}
> 2020-02-18 10:22:10,020 INFO
> org.apache.flink.runtime.executiongraph.ExecutionGraph - OPERATOR_NAME
> switched from RUNNING to FAILED.
> java.lang.OutOfMemoryError: Metaspace
> at java.lang.ClassLoader.defineClass1(Native Method)
> at java.lang.ClassLoader.defineClass(ClassLoader.java:757)
> at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
> at java.net.URLClassLoader.defineClass(URLClassLoader.java:468)
> at java.net.URLClassLoader.access$100(URLClassLoader.java:74)
> at java.net.URLClassLoader$1.run(URLClassLoader.java:369)
> at java.net.URLClassLoader$1.run(URLClassLoader.java:363)
> at java.security.AccessController.doPrivileged(Native Method)
> at java.net.URLClassLoader.findClass(URLClassLoader.java:362)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
> at
> org.apache.flink.util.ChildFirstClassLoader.loadClass(ChildFirstClassLoader.java:60)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.jmx.SdkMBeanRegistrySupport.registerMetricAdminMBean(SdkMBeanRegistrySupport.java:27)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.metrics.AwsSdkMetrics.registerMetricAdminMBean(AwsSdkMetrics.java:398)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.metrics.AwsSdkMetrics.<clinit>(AwsSdkMetrics.java:359)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.AmazonWebServiceClient.requestMetricCollector(AmazonWebServiceClient.java:728)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.AmazonWebServiceClient.isRMCEnabledAtClientOrSdkLevel(AmazonWebServiceClient.java:660)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.AmazonWebServiceClient.isRequestMetricsEnabled(AmazonWebServiceClient.java:652)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.AmazonWebServiceClient.createExecutionContext(AmazonWebServiceClient.java:611)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.AmazonWebServiceClient.createExecutionContext(AmazonWebServiceClient.java:606)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.services.kinesis.AmazonKinesisClient.executeListShards(AmazonKinesisClient.java:1534)
> at
> org.apache.flink.kinesis.shaded.com.amazonaws.services.kinesis.AmazonKinesisClient.listShards(AmazonKinesisClient.java:1528)
> at
> org.apache.flink.streaming.connectors.kinesis.proxy.KinesisProxy.listShards(KinesisProxy.java:439)
> at
> org.apache.flink.streaming.connectors.kinesis.proxy.KinesisProxy.getShardsOfStream(KinesisProxy.java:389)
> at
> org.apache.flink.streaming.connectors.kinesis.proxy.KinesisProxy.getShardList(KinesisProxy.java:279)
> at
> org.apache.flink.streaming.connectors.kinesis.internals.KinesisDataFetcher.discoverNewShardsToSubscribe(KinesisDataFetcher.java:686)
> at
> org.apache.flink.streaming.connectors.kinesis.FlinkKinesisConsumer.run(FlinkKinesisConsumer.java:287)
> at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
> at
> org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
> {code}
> (The only change in the above text is the OPERATOR_NAME text where I removed
> some of the internal specifics of our system).
> This will reliably happen on a fresh cluster after submitting and cancelling
> our job 3 times.
> We are using the presto-s3 plugin, the CEP library and the Kinesis connector.
> Please let me know what other diagnostics would be useful.
> Tom
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
