sunjincheng created FLINK-15338:
-----------------------------------
Summary: TM Metaspace memory leak when submitting PyFlink UDF jobs multiple times
Key: FLINK-15338
URL:
https://issues.apache.org/jira/browse/FLINK-15338 Project: Flink
Issue Type: Bug
Components: API / Python, Runtime / Task
Affects Versions: 1.10.0
Reporter: sunjincheng
Start a standalone cluster and after submit PyFlink UDF jobs multiple times, the TM will fail with the following exception:
{code:java}
Caused by: java.lang.OutOfMemoryError: Metaspace
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:788)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:467)
at java.net.URLClassLoader.access$100(URLClassLoader.java:73)
at java.net.URLClassLoader$1.run(URLClassLoader.java:368)
at java.net.URLClassLoader$1.run(URLClassLoader.java:362)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:361)
at java.lang.ClassLoader.loadClass(ClassLoader.java:448)
at org.apache.flink.util.ChildFirstClassLoader.loadClass(ChildFirstClassLoader.java:60)
at java.lang.ClassLoader.loadClass(ClassLoader.java:380)
at org.apache.flink.api.python.shaded.com.fasterxml.jackson.databind.ObjectMapper.<init>(ObjectMapper.java:628)
at org.apache.flink.api.python.shaded.com.fasterxml.jackson.databind.ObjectMapper.<init>(ObjectMapper.java:531)
at org.apache.beam.sdk.options.PipelineOptionsFactory.<clinit>(PipelineOptionsFactory.java:469)
at org.apache.flink.python.AbstractPythonFunctionRunner.open(AbstractPythonFunctionRunner.java:173)
at org.apache.flink.table.runtime.operators.python.AbstractPythonScalarFunctionOperator$ProjectUdfInputPythonScalarFunctionRunner.open(AbstractPythonScalarFunctionOperator.java:193)
at org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.open(AbstractPythonFunctionOperator.java:139)
at org.apache.flink.table.runtime.operators.python.AbstractPythonScalarFunctionOperator.open(AbstractPythonScalarFunctionOperator.java:143)
at org.apache.flink.table.runtime.operators.python.BaseRowPythonScalarFunctionOperator.open(BaseRowPythonScalarFunctionOperator.java:86)
at org.apache.flink.streaming.runtime.tasks.StreamTask.initializeStateAndOpen(StreamTask.java:1018)
at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$beforeInvoke$0(StreamTask.java:454)
at org.apache.flink.streaming.runtime.tasks.StreamTask$$Lambda$125/800044563.run(Unknown Source)
at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$SynchronizedStreamTaskActionExecutor.runThrowing(StreamTaskActionExecutor.java:94)
at org.apache.flink.streaming.runtime.tasks.StreamTask.beforeInvoke(StreamTask.java:449)
at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:461)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:702)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:527)
at java.lang.Thread.run(Thread.java:834)
{code}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
Locked
