[jira] [Created] (FLINK-16142) Memory Leak causes Metaspace OOM error on repeated job submission

[Shang Yuanchun (Jira)]

Thomas Wozniakowski created FLINK-16142:
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             Summary: 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


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:468i
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.amazon!ws.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



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