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We are using Apache Beam with the Python SDK to submit some batch jobs with the Flink REST API.
beam: apache-beam==2.58.0
flink: 1.18.1
The metaspace memory is only growing in flink (after each submit):
At some point, it is not possible to submit new jobs (the Flink api hang).
I am not really use to debug JVM memory leak. We tried to run jmap -clstats 1 there is a lot of duplicate class like: org.apache.beam.vendor.grpc.v1p60p1.com.google.protobuf.DescriptorProtos$DescriptorProto org.apache.beam.vendor.grpc.v1p60p1.com.google.protobuf.Descriptors$Descriptor
but those size are really small, so I am not sure it is a problem.
Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
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The text was updated successfully, but these errors were encountered:
What happened?
Some similar issues has been reported and fixed in beam: #29890 #25510 and in flink https://issues.apache.org/jira/browse/FLINK-28248
We are using Apache Beam with the Python SDK to submit some batch jobs with the Flink REST API.
apache-beam==2.58.0
1.18.1
The metaspace memory is only growing in flink (after each submit):
At some point, it is not possible to submit new jobs (the Flink api hang).
I am not really use to debug JVM memory leak. We tried to run
jmap -clstats 1
there is a lot of duplicate class like:org.apache.beam.vendor.grpc.v1p60p1.com.google.protobuf.DescriptorProtos$DescriptorProto
org.apache.beam.vendor.grpc.v1p60p1.com.google.protobuf.Descriptors$Descriptor
but those size are really small, so I am not sure it is a problem.
Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
Issue Components
The text was updated successfully, but these errors were encountered: